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d6e3f3f514daec81	Training with Input Selection and Testing (TWIST) Algorithm: A Significant Advance in Pattern Recognition Performance of Machine Learning Massimo Buscema, Marco Breda, Weldon Lodwick ABSTRACT This article presents TWIST — a powerful new methodology designed to improve how we prepare training and testing data for art...
9ac8750a95f4c238	Wireless Sensor Networking in the Internet of Things Abstract: The Internet of the future—often called the “Internet of Things” (IoT)—is not just a network of computers and people, but a vast, interconnected web of everyday things. These things—like thermostats, heart monitors, or factory machines—are embedded with ...
575f963790827661	DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, Chao Dong ## Abstract We present DiffBIR, a novel framework that harnesses the power of pretrained text-to-image diffusion models to tackle the cha...
fffd799d5e112962	Neutrosophic Modeling and Control Abstract Quite recently, Neutrosophic Logic has been proposed by Florentine Smarandache, building on a mathematical framework called non-standard analysis developed by Abraham Robinson in the 1960s. So what is Neutrosophic Logic all about? Imagine trying to describe not just whether...
ba183e567f47486d	## EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only Kamer Ali Yuksel, Ahmet Gunduz, Mohamed Al-Badrashiny, Shreyas Sharma, and Hassan Sawaf ### Abstract Imagine you're running a large translation service and have access to several different machine translation (MT) engines—each with its own strengths...
2c2a6c13cd401566	A Technique for Panorama-Creation using Multiple Images Abstract—Image stitching is the process of combining multiple photographs into a single, wide-angle panoramic image, preserving all the visual content in one seamless frame. This technique has become essential across many fields, from medical imaging and satellit...
e6e573631f973db6	Hypernetwork functional image representation Abstract. Motivated by the human way of memorizing images, we introduce a new way to represent them: not as grids of pixels, but as continuous mathematical functions. In this approach, an image is represented by a neural network that, given any coordinate in the image plane...
261aadc3e59aabe8	Systematic Mapping of Monolithic Applications to Microservices Architecture ## Abstract Imagine a massive, sprawling city where every building, road, and utility is interconnected—so much so that fixing a single broken pipe might require shutting down the entire water system. That’s essentially what happens with a **...
0b7aba10ba981ff0	## Significant Communities in Large Sparse Networks Atieh Mirshahvalad, Johan Lindholm, Mattias Derlén, Martin Rosvall ### Abstract Scientists often study complex systems—like social groups, biological processes, or legal systems—by representing them as networks, where individual components (like people, genes, or c...
4b453a8d2f0b16dc	Security Vulnerabilities of Connected Vehicles Streams and their Impact on Cooperative Driving ## Abstract Autonomous vehicles that can navigate complex, real-world environments with minimal human input are no longer science fiction—they’re on our roads today. These vehicles rely on a sophisticated blend of onboard ...
959aeae615572f22	An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition Kiyoon Kim Davide Moltisanti Oisin Mac Aodha Laura Sevilla-Lara ## Abstract Naming what’s happening in a video might seem straightforward—like saying someone is "running" or "cooking"—but in reality, it's often far from clear-cut. Un...
ba41b492f5796f80	Optimising matrix product state simulations of Shor’s algorithm Simulating quantum algorithms on classical computers is a crucial task, both for verifying the behavior of future quantum hardware and for probing the limits of classical computation. One of the most famous quantum algorithms is Shor’s algorithm, which ca...
b11ccffb3491cb84	Distributed and Efficient One-Class Outliers Detection Classifier in Wireless Sensors Networks Oussama Ghorbel, Mohamed Wassim Jmal, Mohamed Abid, Hichem Snoussi Distributed and Efficient One-Class Outliers Detection Classifier in Wireless Sensors Networks Oussama Ghorbel, Mohamed Wassim Jmal, Mohamed Abid, Hic...
e4d003811a3a0cd3	ABSTRACT Robots should be able to understand and respond to natural language—just like humans do—while still reacting quickly and appropriately to changes in their physical environment. Imagine asking a robot to “move the red block behind the cup,” and it starts doing so, but then you quickly slide the red block to a ...
d6a68b19d6e91351	Abstract—In this article we describe the characteristics of a large integrated linear optical device containing Mach–Zehnder interferometers and describe its potential use as a physically unclonable function. We propose that any tunable interferometric device of practical scale will be intrinsically unclonable and will...
426dc9138ca1bc4c	Abstract Quantum key distribution (QKD) promises unbreakable security based on the laws of physics—specifically, the principles of quantum mechanics. In theory, any attempt by an eavesdropper (commonly named Eve) to intercept the quantum signals used to generate a secret key will inevitably disturb those signals, aler...
5c4586127849ad23	PACS-CS is a powerful, large-scale computing system designed specifically for cutting-edge research in lattice quantum chromodynamics (QCD), the branch of physics that studies how quarks and gluons—the building blocks of protons, neutrons, and other particles—interact. Built at the Center for Computational Sciences at ...
2e438449cfc6d816	Simultaneous Kernel Learning and Label Imputation for Pattern Classification with Partially Labeled Data ## Abstract In modern pattern classification, one of the most powerful ideas is the use of a kernel function—a mathematical tool that measures how similar two data points are in a way that captures complex, nonl...
926d9b9ef61cc0fc	Device-Free Indoor Localization Based on Data Mining Classification Algorithms Indoor localization plays a vital role in a wide range of modern applications—from enhancing security and enabling smart healthcare systems to powering location-based services and social networking features. Imagine walking into a hospi...
6adfa393464a540d	Designing Interactive Spatiotemporal Visualizations to Enhance Movie Browsing Ana Jorge, Nuno Correia, Teresa Chambel Designing Interactive Spatiotemporal Visualizations to Enhance Movie Browsing Abstract. This paper presents a case study on the design of spatiotemporal interactive visualizations of movies—...
5240d23d85b5b055	Implementation of Mobile Point-of-sale Cashier Management System Hsiu-Fen Tsai, Bao Rong Chang, Hsia-Chung Huang, and Chien-Feng Huang Imagine walking into a small café or a street-side food stall and paying for your coffee with a tap of your phone—no bulky cash register, no long lines. That’s the future this researc...
827bb655a330c6d4	Abstract This study investigates how adding subtle emotional and cognitive cues—like spontaneous reactions and conversational pauses—into a text-to-speech (TTS) voice affects people’s experience when chatting with a social robot. We focused on two specific types of expressions: interjections (short emotional outbu...
e671c5095d01538c	Extracting meaningful information from entire documents—rather than just isolated sentences or short passages—is a critical challenge in many real-world applications, from scientific research to legal analysis. While much of the prior work in information extraction (IE) has focused on identifying relationships between ...
2fae627b4ce42ef1	## IGRF‑RFE: a hybrid feature selection method for MLP‑based network intrusion detection on UNSW‑NB15 dataset ### Abstract When building machine learning models, especially for complex tasks like network intrusion detection, not all available data is equally useful. In fact, having too many features—especially those ...
d280b098af41c375	Sequential Adversarial Anomaly Detection for One-Class Event Data ## Abstract We consider the problem of detecting anomalies in sequences of events when we only have access to examples of anomalous behavior — a common but challenging scenario known as the one-class setting. In this situation, we don’t have clea...
0aca849003efdf91	Privacy and Security in Connected Vehicles Ecosystems Imagine stepping into a car that does much more than just drive. It streams your favorite music, navigates through traffic in real time, checks its own engine health, and even communicates with other vehicles and city infrastructure. This isn’t science fiction—it’s...
ce26cc7cfd27ae4f	## Bottom-up visual attention model for still image: a preliminary study ### 1. Introduction Have you ever wondered why your eyes are instantly drawn to a bright red apple in a sea of green leaves? Or why a sudden movement in your peripheral vision makes you turn your head without thinking? These everyday experiences...
fa34e4a34227c4c9	## Research on Face Recognition Algorithm Based on Robust 2DPCA Haijun Kuang, Wanzhou Ye, Ze Zhu ### Abstract Face recognition is a key task in computer vision, and one of the biggest challenges is efficiently representing high-dimensional image data without losing important visual structure. Traditional methods li...
b958f7c400ef3a1c	Human Fall Detection Based on Body Posture Spatio-Temporal Evolution Jin Zhang, Cheng Wu, Yiming Wang Abstract: Abnormal falls in public places pose serious safety risks and can quickly escalate into dangerous situations—like crowd stampedes—especially when victims are unable to get up on their own. Early detection i...
cdb89518f6f5dc34	SUTIME: A Library for Recognizing and Normalizing Time Expressions Angel X. Chang, Christopher D. Manning Abstract We describe SUTIME, a temporal tagger for recognizing and normalizing temporal expressions in English text. SUTIME is available as part of the Stanford CoreNLP pipeline and can be used to annotate docu...
8bed05f547a5264a	Human Intelligence versus AI: Implications for Emotional Aspects of Human Communication ABSTRACT Artificial Intelligence (AI) has evolved beyond just thinking and reasoning—it now interacts with the world in emotionally expressive ways. Through what’s known as affective computing, machines can detect, interpret, si...
4871c26f29b3b791	Secured reversible color image data hiding technique using image classifiers and Lempel-Ziv-Welch image compression technique Anitha Devi M.D., K.B. Shiva Kumar ## Abstract In today’s digital world, the rapid growth of data transfer and networked communication has made secure information exchange more critical than ...
d3a59eea9793549d	An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction Jiajia Mi, Hao Wu Abstract—As the Internet developed rapidly, it is important to choose suitable web services from a wide range of candidates. Quality of service (QoS) describes the performance of a web service dynamically with respect to ...
e7df887a8ebe1d80	Syntax-driven Iterative Expansion Language Models for Controllable Text Generation ## Abstract Modern language models treat text as a stream of discrete tokens—words or subword units—generated one after another, typically from left to right. This approach works well and has powered major advances in AI-generated text...
ef451386ee03ac27	Development of an Interactive Mobile Application for Learning Undergraduate Educational Technology Concepts ## ABSTRACT Today’s education systems face serious challenges: overcrowded classrooms, limited access to learning materials, and frequent school closures due to pandemics or social unrest. These issues make tra...
9fc2ade19ca4278b	A New Task Scheduling Algorithm using Firefly and Simulated Annealing Algorithms in Cloud Computing ## Abstract Task scheduling—the process of assigning computational tasks to available resources like servers or virtual machines—is a critical challenge in modern computing, especially as data sizes continue to grow a...
08c65f15f3804e72	Evaluation of Topology Optimization Objectives in IP Networks Y. Sinan Hanay, Shin’ichi Arakawa, and Masayuki Murata Abstract: In the past, various optimization objective functions have been proposed to help in network optimization, especially for use in traffic engineering (TE) and topology optimization. This variet...
f4e8acc755cd59cc	On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ## Abstract Imagine you're building a car and want to test how safe it is. You wouldn’t just drive it gently on a sunny day—you’d also run stress tests: slam on the brakes, swerve around corners, maybe even crash it into a wall. Only then could ...
af9d194b357cffe5	## Knowledge Based System for Business Software ### Abstract Imagine building a house without a blueprint, or launching a rocket without a flight plan. That’s often how businesses approach software development—starting with a vague idea and hoping it all works out. But what if there were a smarter, more systematic wa...
f342b63e3da8cba4	Real-time tracking of 3D hand pose in world space is a challenging problem—and a crucial one for creating natural, immersive interactions in virtual reality (VR). Imagine reaching out in VR to grab a virtual object: for that gesture to feel real, the system must know exactly where your hand is in 3D space, not just its...
602ba323dbe5b32c	## Influence Model of User Behavior Characteristics on Information Dissemination ### Abstract Understanding how people behave—especially when it comes to the timing and frequency of their actions—is a central challenge in fields like statistical physics and complexity science. By analyzing human behavior quantitative...
15dc873d731236e4	Abstract Wireless sensor networks (WSNs) are a foundational technology in the Internet of Things (IoT), enabling devices to gather and share environmental data—everything from temperature and humidity to motion and sound. But here’s the catch: these tiny sensor nodes run on batteries with limited power, and once they ...
8887c1db18142b94	Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning Keisuke Fujii and Kohei Nakajima Quantum computers hold immense promise for revolutionizing how we process information—offering the potential to solve certain problems far faster than any classical computer ever could. But building a full-scale, dig...
a1d01f85667d7f5b	Abstract. In this paper, we describe how we support mobile access to Físchlár-News, a large-scale library of digitised news content that allows users to browse and search for news stories based on what’s actually in the video—like topics, people, or events—rather than just titles or dates. We explore both the desktop a...
f765cdb774dd0a38	Congestion-aware scheduling algorithm for Network-on-Chip router Abstract: Scheduling algorithm is crucial to the performance of the Network-on-chip router. Different from traditional scheduling algorithms that concentrate on local fairness, we propose a congestion-aware scheduling algorithm based on input buffer of d...
e84a173a28036590	Sentiment Analysis on Movie Review from Rotten Tomatoes Using Modified Balanced Random Forest Method and Word2Vec Abstract—The film industry is being transformed by the rapid advancement of technology. As digital platforms grow, more movies are produced and made accessible each year, and audiences can now stream films...
6c759017f57b3bc5	Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games Bryce L. Ferguson, Dario Paccagnan, Bary S. R. Pradelski, and Jason R. Marden Abstract—The emergence of new communication technologies allows us to expand our understanding of distributed control and...
39d59015932c52db	Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations ## Abstract We study the problem of bilingual lexicon induction (BLI) in a setting where some translation resources are available, but unknown translations are sought for certain, possibly domain-specific terminology. Le...
8170da55638c17ac	Automated server-side model for recognition of security vulnerabilities in scripting languages Rabab F. Abdel‑Kader, Mona Nashaat, Mohamed I. Habib, Hani M. K. Mahdi Department of Electrical Engineering, Faculty of Engineering, Port Said University, Egypt; Faculty of Engineering, Ain Shams University, Egypt Keyword...
7a4a7ea0fcfca36b	Symptoms Extraction from a Voice Input using Natural Language Processing Abstract—Natural Language Processing (NLP) is a powerful branch of artificial intelligence that enables computers to understand, interpret, and respond to human language—the way people naturally speak or write. Think of it as teaching a machine t...
d1f875575e2491e9	BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset Abstract. Over the past decade, deep learning has significantly advanced Bengali Optical Character Recognition (OCR), enabling more accurate reading of Bengali text from digital images. However, one major bottleneck remains: the lack of large, high-...
9ba79244dde8f3cf	Learning a Hierarchical Global Attention for Image Classification Kerang Cao, Jingyu Gao, Kwang-nam Choi, Lini Duan Abstract: To classify image material on the internet, deep learning—especially deep neural networks—has emerged as the most powerful and practical approach in computer vision. Among these, Convolutional...
eb0015a1f148646a	Enhanced sentiment analysis regarding COVID-19 news from global channels Waseem Ahmad1 · Bang Wang1 · Philecia Martin1 · Minghua Xu2 · Han Xu2 ## Abstract For a healthy society to function effectively, it's essential that the media communicate clearly and responsibly about public health issues. When people are well-...
9e77440973e9b95f	Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang, Jonghwan Mun, Bohyung Han ## Abstract We present a novel framework of knowledge distillation that is capable of learning powerful and efficient student models from ensemble teacher networks. Let’s unpack that. In machine learning, "kn...
b53e50c5199069f0	Federated Learning on Non-iid Data via Local and Global Distillation Abstract—Most existing federated learning algorithms are built on the foundation of the vanilla FedAvg scheme, where clients train local models and the server averages their parameters to form a global model. However, as data becomes more complex and...
3d5462bc4a9435d5	MOTIVES AND GRATIFICATIONS OF BOGOR STUDENTS IN USING THE INTERNET Abstract. Bogor City is home to 11 tertiary institutions: 2 polytechnics, 3 academies, 3 colleges, and 3 universities. These institutions vary in the type of education they offer—some focus on academic training, while others emphasize vocational or pro...
e432913a7ff8eeec	## Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, and Biqing Huang ### Abstract Named entity recognition (NER) is a core task in natural language processing: it involves identifying and classifying imp...
decf765451c3b6b7	A Parameterized Intuitionistic Type-2 Fuzzy Inference System with Particle Swarm Optimization Chun-Min Yu, Kuo-Ping Lin, Gia-Shie Liu and Chia-Hao Chang Abstract: The aim of this study was to develop a novel intuitionistic Type-2 fuzzy inference system (IT-2 FIS) which adopts a parameterized Yager-generating function...
0e543e8730bfcd18	## 1. Introduction Inverse problems are fundamental to science and engineering because they allow us to work backward from observations to uncover the underlying causes. For example, if you detect seismic waves at the Earth's surface, you might want to infer the structure of the Earth’s interior that produced them. Or...
3943703739eae6a8	## On The Weight Distribution of Fixed-Rate Raptor Codes Francisco Lázaro, Enrico Paolini, Gianluigi Liva, Gerhard Bauch Abstract—In this paper, we study a specific type of Raptor code—those constructed with linear random precodes and used in a fixed-rate setting, meaning they operate at a predetermined code ra...
d1c50dab5bf93eb7	Forecasting Gold Prices Based on Extreme Learning Machine Abstract: In recent years, investors have paid major attention to the gold market because of the potential for substantial future profits. Gold is the only commodity that maintains its value even during economic and financial crises. Gold prices are closely rel...
da682361425b1205	Study of Cyber Security with Nanotechnology ABSTRACT Cyber Security is one of the most critical aspects of modern information technology. Today’s world runs on interconnected digital systems—our lives are shaped by networks that power everything from personal communication to global finance. With so much depending o...
82630d487fca0497	Performance Evaluation of AODV Protocol for Energy Consumption and QoS in IEEE 802.15.4 Based Wireless Sensor Network Using QualNet Simulator Piyush Charan, Tahsin Usmani, Rajeev Paulus, Syed Hasan Saeed Abstract In recent years, wireless sensor systems have captured global interest—not just among researchers, but a...
0e2e36ce6a735a6b	HOW “TROLL” ARE YOU? MEASURING AND DETECTING TROLL BEHAVIOR IN ONLINE SOCIAL NETWORKS ABSTRACT The detection of state-sponsored trolls acting in misinformation operations is an unsolved and critical challenge for the research community, with repercussions that go beyond the online realm. In this paper, we propose a n...
d9f3c235fd41cdca	Abstract: Google Play Store has thousands of apps—and not just thousands, but tens of thousands added every single day. Imagine standing in a marketplace with millions of stalls, each selling a slightly different version of the same product. That’s the reality for both users and developers today. For a developer, thi...
b20834d767191d21	Fully Complex Deep Learning Classifiers for Signal Modulation Recognition in Non-Cooperative Environment Deep learning (DL) classifiers have significantly outperformed traditional likelihood-based or feature-based classifiers for signal modulation recognition in non-cooperative environments. But why is that? The answe...
a71b00e13c61441e	## Learning Anytime, Anywhere: Benefits and Challenges of M-Learning through the Cloud ### Abstract Imagine being able to carry your entire library, classroom, and even personal tutor in your pocket—anytime, anywhere. That’s the promise of mobile learning, or m-learning: a way of studying that uses smartphones and...
fcceff5ea1b1ab2e	Data Chunks Placement Optimization for Hybrid Storage Systems ## Abstract Imagine you're running a company that stores a huge amount of data—everything from customer records to product designs. You want the storage to be fast, reliable, and not break the bank. One smart solution is Hybrid Cloud Storage (HCS): a s...
8c9e62e0625c7327	Abstract: Image segmentation plays a crucial role in face image recognition, acting like a smart pair of digital scissors that carefully cuts out the face from the background by analyzing every single pixel in the image. The goal is to group pixels into meaningful regions—such as skin, eyes, hair, or background—so that...
e11d2d0e50168000	Efficient Implicit Neural Reconstruction Using LiDAR Abstract—Modeling scene geometry using implicit neural representation has revealed its advantages in accuracy, flexibility, and low memory usage. Previous approaches have demonstrated impressive results using color or depth images but still have difficulty handling ...
33435d7c4e89d1ee	Performance analysis routing protocol between RIPv2 and EIGRP with termination test on full mesh topology D. R. Prehanto, A. D. Indriyanti, G. S. Permadi ABSTRACT In any modern organization—especially institutions like colleges or companies—reliable data access is absolutely essential. Today, nearly every aspect of ...
0b4b1abbec8a663c	Randomized Two-Valued Bounded Delay Online Buffer Management Christoph Dürr Shahin Kamali Abstract Imagine you're running a busy network router that must decide in real time which data packets to send next. Each packet is the same size and arrives online—meaning you don’t know what’s coming next—but each has a deadl...
fa295f1a35fb296a	Emotion Detection From Social Media Posts Md Mahbubur Rahman, Shaila Shova ## Abstract In recent years, social media has transformed from a simple communication tool into a powerful platform where people freely express their inner thoughts, emotions, opinions, and even influence public discourse on business, poli...
999d6c9580551ac3	POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro ## Abstract Understanding what happens in a complex situation—and especially, what the consequences are for the people involved...
f5a14b814586cc7d	## Referenceless User Controllable Semantic Image Synthesis ### Abstract Despite recent progress in semantic image synthesis—where models generate realistic images from abstract input like segmentation maps—giving users full control over the style of the generated image remains a major challenge. Most current metho...
c563982ff10feccb	Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models Prafulla Kumar Choubey and Shubham Pateria Abstract This paper presents a set of machine learning systems designed for the Complex Word Identification (CWI) task in SemEval-2016. The goal of CWI is to automatically ...
b3958cbd952a9178	The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles ## ABSTRACT Transformers rely on a powerful mechanism called self-attention, which allows every element in the input—like a word in a sentence or a pixel in an image—to potentially interact with every other element. This creates a highly ...
60342654c35e2837	Keywords: Petri net, reversibility, reversible computation, decidability Reversible Computation vs. Reversibility in Petri Nets Kamila Barylska, Maciej Koutny, Łukasz Mikulski, Marcin Piątkowski Abstract Petri nets are a powerful and flexible formalism for modeling concurrent systems—systems where multiple p...
5a915356f34584a8	Combining ACSL Specifications and Machine Code Abstract. When developing programs in high‑level languages like C, developers typically trust that the compiler will correctly translate their source code into machine code—the low-level instructions that a computer's processor actually executes. For everyday software, th...
17e83cbfe83ce941	A Method to Detect and Avoid Hardware Trojan for Network-on-Chip Architecture based on Error Correction Code and Junction Router (ECCJR) Abstract—Modern technologies have transformed our lives, enabling computing and communication everywhere through the internet and digital devices. As technology advances, the number ...
57cc7ecfeefc50d5	## Comparison of Profit-Based Multi-Objective Approaches for Feature Selection in Credit Scoring ### Abstract Building a strong credit-scoring model is like assembling a high-performing team: you want the right members—those who contribute the most—while keeping the team lean and efficient. In machine learning terms,...
dd71365c1df02a90	Comparative analysis of anomaly recognition methods in real time Abstract The article discusses modern classes of algorithms used to detect anomalies in data streams: sliding window algorithm, metric algorithms, predictive-based algorithms, and algorithms based on hidden Markov models. During the research, it was pos...
2ea3623f16ffd75c	ABSTRACT When you shop online, you probably search for products using specific features—like “wireless earbuds” or “64GB storage.” Behind the scenes, e-commerce platforms rely on structured data to make this possible: they organize products using attribute/value pairs, such as `Brand: Apple` or `Color: Black`. This...
410abab1731747ba	Relphormer: Relational Graph Transformer for Knowledge Graph Representations ABSTRACT Transformers have achieved remarkable performance across many fields, including natural language processing, computer vision, and graph mining. However, the standard, or "vanilla," Transformer architecture hasn't worked well for Kno...
19552d3c4615e801	Open Source Languages and Methods for Cyber-Physical System Development: Overview and Case Studies Lena Buffoni, Lennart Ochel, Adrian Pop, Peter Fritzson, Niklas Fors, Görel Hedin, Walid Taha, Martin Sjölund Abstract: Industrial cyber-physical system (CPS) products are complex integrations of hardware, software, and...
edf7a11db94f772e	Universal Sentence Representation Learning with Conditional Masked Language Model Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve Abstract This paper introduces a new training method called Conditional Masked Language Modeling (CMLM), designed to learn high-quality sentence representations from large amounts...
3a079495c7596406	Requirements for Energy Efficient Edge Computing: A Survey Abstract. The Internet of Things (IoT) is undergoing rapid transformation today. One of the most pressing challenges in this domain is the high energy consumption of IoT devices—particularly sensor nodes and wireless gateways. Why does this matter? Because mos...
7d85adbb315a4376	Block Compressive Sensing Algorithm Based on Interleaving Extraction in Contourlet Domain Hongbo Bi, Ying Liu, Mengmeng Wu and Yubo Zhang Abstract: We propose a block image compressive sensing algorithm based on interleaving extraction in the Contourlet domain to improve the performance of image sparse representation...
4a03d0baa4ab3a5b	Authorship Attribution of Late 19th Century Novels using GAN-BERT Abstract Authorship attribution is the process of determining who wrote a given text—especially useful when the author is unknown or hidden behind a pseudonym. This becomes particularly meaningful in literature, where historical biases often obscured t...
fa6e69c8e6bb1245	## The AI Betrayal of Social Emotions ### Abstract We examine the growing trend in contemporary societies of appealing to sentiments and emotions across many areas of social life—especially under the influence of artificial intelligence (AI) tools and algorithms. This trend raises two major concerns. First, there is ...
3163d2ab9f9864e1	INFORMATION SECURITY RISK MANAGEMENT: AN INTELLIGENCE-DRIVEN APPROACH ABSTRACT Three deficiencies exist in the organisational practice of information security risk management: risk assessments are commonly perfunctory, security risks are estimated without investigation; risk is assessed on an occasional (as opposed t...
45d8215143d22244	DFGC 2022: The Second DeepFake Game Competition ## Abstract Imagine a high-stakes game of cat and mouse, but instead of spies, it’s artificial intelligence systems battling each other—some trying to create fake human faces so realistic they’re indistinguishable from real ones, and others trying to catch them in the a...
1d5d5614c4acb54b	USER REQUIREMENTS GATHERING FOR A NATIONAL 3D MAPPING PRODUCT IN THE UNITED KINGDOM K. Wong and C. Ellul ABSTRACT: One of the main barriers to the widespread use of 3D geographic information (3D GI) is a simple but critical gap: we don’t yet fully understand what users actually need. This is especially important for...
1ab0756241e815a1	Abstract—Biological neural networks are systems of extraordinary computational capabilities shaped by evolution, development, and lifelong learning. The interplay of these elements leads to the emergence of biological intelligence. Inspired by such intricate natural phenomena, Evolved Plastic Artificial Neural Networks...
b21eb0451ae57291	Non Correlation DWT Based Watermarking Behavior in Different Color Spaces Abstract—Digital image watermarking techniques fall into two broad categories: those that rely on correlation for watermark detection, and those that do not. In earlier work, we explored a DWT2-based CDMA image watermarking scheme—this is a *cor...
d8656349f9efb27a	A Chatbot Intent Classifier for Supporting High School Students ## Abstract ### INTRODUCTION: Imagine trying to teach a computer not just to read your words, but to understand what you really want when you ask a question. That’s the challenge of intent classification in Natural Language Processing (NLP). It...
7359152d9dd865c7	## 2 Related Work When we set out to solve a complex problem like safe reinforcement learning (RL), it's essential to understand what tools and ideas have already been developed. This helps us build on solid foundations and avoid reinventing the wheel. In this section, we’ll walk through the key areas of prior work th...
06747af302688b9b	QUANTITATIVE EVALUATION OF JOB AND RESOURCES FOR BETTER SELECTION TO IMPROVE MAKESPAN IN GRID SCHEDULING ABSTRACT Imagine you're running a massive, global computing network—like a digital power grid—where scientists, engineers, and businesses send complex jobs (think simulations, data analysis, or AI training) to be ...
703118433bbebeb6	Weighted network estimation by the use of topological graph metrics Loukianos Spyrou and Javier Escudero Abstract—Topological metrics of graphs provide a natural way to describe the prominent features of various types of networks. Graph metrics describe the structure and interplay of graph edges and have found applic...
11d1262de4fe3dad	## Mobile learning design for basic programming independent learning Hafiz Elmi, Ganefri, Dedy Irfan ### Abstract This study explores the design of a mobile learning system for self-directed learning in basic programming, built specifically for Android devices. Programming concepts can often feel abstract and invisi...