Computer Science

This study explores cluster-based methods for better image generation.

A study on classifying UAVs using machine learning and time-series data.

New method enhances classification of X-ray sources in the universe.

This innovative technique streamlines image editing for various users.

A new method improves machine learning by combining logical rules with deep learning.

A method to connect neural networks with symbolic reasoning for better performance.

A new method enhances model focus on important features during image classification.

A look into how temporal knowledge graphs represent information over time.

Learn how eye tracking reveals reading habits and comprehension.

A new method for creating clear summaries from customer reviews.

An overview of targeted sentiment analysis and its significance in news media.

This study tests new methods for fact-checking misinformation in Turkish.

A new method to enhance language models despite noisy human feedback.

SyllabusQA offers insights for automated question answering in education.

This article explores attacks on LLMs and strategies for better protection.

A look into how temporal knowledge graphs represent information over time.

A detailed look into graph theory and its challenges.

An overview of ODEs in continuous computing and complexity challenges.

Research reveals significant findings on proof sizes for random logical statements.

Exploring how time impacts debts in financial systems and offering solutions.

Researchers push boundaries with new algorithms for polynomial factorization in computer science.

A new method improves calibration in multi-class classification efficiently.

An exploration of sumsets and their significance in computational mathematics.

A closer look at Waring rank and border Waring rank in mathematics.

An overview of upgradeable smart contracts and their security challenges.

DNABERT-S improves DNA analysis with innovative embedding methods.

A new method improves efficiency in studying microstructure changes in materials.

Exploring how time impacts debts in financial systems and offering solutions.

ProtChatGPT enables easier access to protein information through conversational AI.

Examining the role of technology in improving carbon markets for sustainability.

A closer look at sentiments and discussions during key cryptocurrency events.

A new model aims to reward NFT creators over time.

Researchers propose an objective method for studying complex branching networks in various biological systems.

A novel approach improves speed and accuracy in predicting crystal properties using machine learning.

A look at the minimum convex cover and maximum hidden set problems in polygons.

A concise look into the minimum enclosing ball problem and its applications.

Learn how to keep spanners efficient as points change in networks.

This study investigates storage needs for clustering large datasets efficiently.

This article examines point arrangements with integer distances across various geometrical structures.

This article presents a novel way to study geodesic disks and their intersections.

A look into how fairness affects job and opportunity matching.

New methods enhance decision-making for multiple agents in uncertain environments.

Learn how A/B testing can improve online advertising strategies effectively.

Examining the impact of data corruption on learning strategies in two-player zero-sum Markov games.

Learn how intent markets are changing trading in decentralized finance.

A look into zero-sum games with state constraints and one-sided information.

Examining how strategic interactions impact machine learning model performance.

A look at federated learning and its impact on business decision-making.

Researchers propose an objective method for studying complex branching networks in various biological systems.

This study explores cluster-based methods for better image generation.

LAST-Straw dataset enhances automated phenotyping in strawberry farming.

This research focuses on creating realistic satellite images using semantic layouts.

LONEStar tests innovative optical navigation techniques using images of celestial bodies.

This innovative technique streamlines image editing for various users.

Introducing a practical approach to identify intracranial hemorrhages using minimal labels.

Study questions the necessity of disentangled representations for abstract visual reasoning tasks.

SyllabusQA offers insights for automated question answering in education.

Exploring the intersection of encryption and technological advancements in cybersecurity.

This paper discusses how digital platforms shape income for Venezuelan workers amidst economic turmoil.

This article discusses using LLMs to enhance adult literacy education and prediction accuracy.

A new LMS aims to improve student performance using data analysis.

A new method aims to enhance bus management and service reliability.

A new benchmark aims to measure and mitigate AI-related dangers.

AI's capability to turn designs into code is reshaping web development.

A look into PUFs and their role in IoT security.

This article examines cross-chain bridges' vulnerabilities and suggests security improvements.

A look at how data analysis can maintain individual privacy.

This article explores attacks on LLMs and strategies for better protection.

Examining privacy dangers in Federated Learning and large language models.

An overview of upgradeable smart contracts and their security challenges.

Exploring the intersection of encryption and technological advancements in cybersecurity.

A new method to label unknown IoT devices using network activity analysis.

Research highlights challenges in covering ordered items using directed graphs efficiently.

A look into matching algorithms and their performance in stochastic block models.

Researchers push boundaries with new algorithms for polynomial factorization in computer science.

A look into strategies for the Canadian Traveller Problem in graphs with blockages.

This article discusses privacy solutions for Max Cover and Set Cover problems.

Learn how to keep spanners efficient as points change in networks.

Learn how triangles in networks reveal connections and enhance analysis.

This study investigates storage needs for clustering large datasets efficiently.

Understanding various dimensions to assess data quality effectively.

ReMatch improves schema matching by utilizing retrieval-enhanced language models for better accuracy.

A new method improves data cleaning while maintaining fairness in machine learning models.

Model lakes could streamline the selection and management of machine learning models.

A new method enhances the accuracy and speed of query execution time predictions.

OCEL 2.0 improves how organizations record and analyze event logs.

A new method for creating tailored summaries from complex data graphs.

This paper discusses integrating Open Data portals with NGSI-LD for improved data discoverability.

A novel approach to assess piano music difficulty using sheet music images.

Leveraging language models to streamline information extraction in virology.

This article examines citation manipulation and its effects on research evaluation.

Examining the rise of scientific misconduct and its impact on research quality.

A new framework aiding research in the complex art market.

A new score measures publication impact by balancing citations and publication age.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

Discover new methods for modifying graphs into proper Helly circular-arc graphs.

Exploring how time impacts debts in financial systems and offering solutions.

A look into matching algorithms and their performance in stochastic block models.

A look at tiled graphs and their role in tracking maturity stages.

A fresh look at grouping points in graphs for balanced clusters.

Exploring the complexities and significance of digraphs in various contexts.

A clear look at the key ideas in graph theory and their connections.

An approach to optimize edge 2-coloring for improved graph performance.

Strategies for better resource allocation in serverless platforms.

GSL-LPA enhances community detection in large networks by maintaining connectivity.

Asyn2F improves asynchronous federated learning for better model training and data privacy.

A new method uses machine learning to detect errors in MPI programs effectively.

A new method enhances federated learning efficiency using client update strategies.

A new system enhances the serving of LLMs, tackling latency and memory issues.

Examining federated unlearning and its challenges in machine learning privacy.

A new framework improves real-time analysis of dynamic graphs using persistent memory.

Memristors mimic brain function, advancing artificial intelligence and neuromorphic circuits.

Exploring the synergy of silicon photonics and neural networks for efficient information processing.

Discover how Step CRNs simulate complex circuits using simple rules.

Researchers merge digital and analog methods for improved optical computing efficiency.

Innovative methods improve operations in silicon quantum dot arrays using shuttling techniques.

Discover how neuromorphic photonic computing can enhance AI efficiency and speed.

A new method enhances accuracy in thermodynamic computing systems.

An analysis of how ChatGPT shapes various sectors and its potential effects.

A new method reduces syntax errors in code generated by large language models.

A simplified look at automata and their mathematical foundations.

Explore the significance and applications of combinatorial theory in various fields.

A look into right-linear grammars and their logical implications.

Study the transition from rational subsets to bounded regular languages through automata.

This article discusses how robots can better understand human preferences in task execution.

This article discusses how data-driven methods improve control systems through simplified models.

A new method for robot planning improves adaptability in changing environments.

This innovative technique streamlines image editing for various users.

Exploring the hybrid base complex for better mesh organization.

A new approach improves the labeling of lung structures for better medical analysis.

A new system enhances projection mapping quality in well-lit spaces.

Enhancing computer animation realism through charged mass-spring systems.

A new method enhances caustics rendering using a Gaussian mixture model for improved visuals.

Learn how GKEDM improves Graph Convolutional Network performance.

Learn how VBD enhances simulations of soft materials in games and films.

A look into PUFs and their role in IoT security.

A new model enhances timing analysis for effective digital circuit design.

New parallel RTL simulation methods are speeding up complex hardware design processes.

A new method to create custom memory managers enhances application performance and efficiency.

Timing verification is essential for reliable digital circuit design in advancing technology.

AI-native EDA transforms circuit design processes with large circuit models.

TCAM-SSD allows faster data processing directly within storage devices.

New methods improve training speed and efficiency for large language models.

NOVA helps users evaluate their media beliefs against actual reports.

Discover how hybrid languages enhance programming through text-visual integration.

A new system uses AI to help reduce excessive smartphone usage.

Study examines effective communication strategies for robots seeking assistance in urban areas.

This study investigates ergonomic furniture for improved comfort in computer labs.

This study examines how older adults interact with voice assistants and their unique challenges.

Introducing an innovative tool to enrich the color design process.

Introducing an innovative color tool for motion graphics designers.

This article explores ways to enhance insurance product suggestions for customers.

SyllabusQA offers insights for automated question answering in education.

Exploring the intersection of encryption and technological advancements in cybersecurity.

An overview of the Hopfield network for effective audio signal recall.

An innovative approach to personalized news suggestions using language models.

A structured approach to enhance document retrieval based on specific themes.

A task to help content creators understand user questions better.

Terrorizer streamlines patent data by harmonizing various company names.

Examining how graph neural networks predict unseen data effectively.

New technologies like wake-up receivers are enhancing energy efficiency in battery-powered devices.

A look at how antenna systems enhance wireless communication.

A look into how Cell-Free Massive MIMO transforms mobile communication.

This article examines the dynamics of random fields and their geometric implications.

This study examines how specific structures affect the behavior of complex systems.

Examining how parts interact to create new outcomes in complex systems.

A look into how RIS and NOMA shape the future of wireless communication.

A detailed look into graph theory and its challenges.

A look at the journey of mathematics from its ancient roots to modern concepts.

A look at comparing nondeterministic probabilistic models and their importance.

An overview of three-valued logic and its applications.

Creating structured rules for complex logical systems with indeterminate truth values.

A new method for verifying complex program properties to enhance security.

Explore the fundamentals and applications of logic programming concepts.

A study on automated program generation using realizability and realization logic.

A dataset designed to test machine learning models under changing confounding factors.

This study explores cluster-based methods for better image generation.

A novel approach improves speed and accuracy in predicting crystal properties using machine learning.

Exploring how neural networks can predict accurately on unseen data.

This innovative technique streamlines image editing for various users.

A new method for effective data sampling from complex distributions.

A new method to enhance language models despite noisy human feedback.

This article discusses enhancing predictions using fractal interpolation in machine learning models.

A look at numerical computation and its applications in various fields.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A look into Appell and Lauricella functions and their impact on scientific calculations.

CBC3D offers improved mesh generation for surgical planning and simulations.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

Researchers improve drone operations for effective search and rescue.

New method improves learning speed and collaboration in multi-agent settings.

A new model examines the impact of discrimination on poverty and wealth inequality.

Study examines communication and teaching in agent systems under different governing models.

Exploring methods for secure information sharing in group discussions.

MO-COHDA transforms energy systems with efficient distributed optimization.

Exploring the dynamics of human-AI teamwork in optimization tasks.

Examining user behavior to enhance EV charging station efficiency.

New method improves speaker verification by merging audio and visual data.

A new method enhances speaker tracking using audio and visual data.

MusicAOG simplifies music creation and understanding through innovative graph representation.

Analyzing stress and depression can enhance our understanding of mental health.

A new model identifies funny moments in videos using visual, audio, and text data.

AesopAgent enables users to create videos from stories using advanced AI tools.

Examining how images impact learning in Wikipedia articles.

A method to reduce redundancy in multi-view data representations.

Hercules optimizes network resource allocation for diverse application needs.

Learn how congestion control improves vehicle communication and enhances road safety.

Exploring the challenges and implications of misconfiguration in O-RAN systems for future networks.

A new method to label unknown IoT devices using network activity analysis.

A look into the upcoming 6G network and its potential impact.

Advancements in AI and ML enhance location services in 5G technology.

This paper discusses hidden communication risks in software-defined networks.

Exploring network isolation and new virtual switch designs for secure cloud environments.

A novel approach improves efficiency in spiking neural networks without task dependency.

Researchers merge digital and analog methods for improved optical computing efficiency.

A fresh approach for assessing neural networks without extensive training.

This article discusses a new approach to on-device learning in IoT devices.

This study enhances draft tube design using machine learning for better hydropower efficiency.

ECToNAS streamlines the process of finding optimal neural network architectures.

A look at how lexicase selection handles multiple objectives in evolutionary computation.

Insights into energy use and efficiency in deep learning models.

A study on modeling elastic bodies under friction for improved engineering accuracy.

Learn about the Kaczmarz method for solving linear systems and its applications.

A faster approach for modeling light in biological tissues enhances medical imaging.

A new method simplifies complex multiscale problems using gradient descent.

Explore how Adam improves deep learning model training and outperforms gradient descent.

A new method improves solving complex equations using machine learning.

A new method improves efficiency in studying microstructure changes in materials.

Explore how the DEIM-FS algorithm improves tensor decomposition efficiency.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

Compartmentalization offers a way to boost security in monolithic operating systems.

A new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

A new framework improves real-time analysis of dynamic graphs using persistent memory.

A new system enhances the output and cost-effectiveness of large language models.

Streamlining the calibration process for more accurate simulations in distributed computing.

Study reveals how AMD's Zen+ architecture executes instructions for better software optimization.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

A look at innovative methods in cybersecurity using cyber deception.

Key insights on improving transaction processing in online systems.

A system that optimizes calculations for sparse matrices using blocked storage.

Discover how hybrid languages enhance programming through text-visual integration.

A new method reduces syntax errors in code generated by large language models.

CatCode aims to improve evaluation of LLMs in coding and language tasks.

A new method for verifying complex program properties to enhance security.

A look into denotational interpreters and their role in program analysis.

This study improves code models using compiler intermediate representations for better multilingual performance.

Introducing a new language for clear and efficient access permissions.

Session types enable structured communication between system components for improved reliability.

A study on classifying UAVs using machine learning and time-series data.

Researchers improve drone operations for effective search and rescue.

Robots learn to manipulate objects using touch for improved adaptability.

New framework improves object recognition in complex environments for autonomous vehicles.

New datasets improve depth estimation models for various environments.

DUFOMap offers efficient real-time mapping for dynamic environments.

Study examines effective communication strategies for robots seeking assistance in urban areas.

World models aid self-driving cars in predicting road events for safety.

Exploring how YouTube Shorts changed content creation and viewer engagement.

GSL-LPA enhances community detection in large networks by maintaining connectivity.

Introducing Directional Graph Attention Network for improved node learning in complex graphs.

A new method for comparing temporal graphs efficiently.

Introducing a model that improves traffic predictions through innovative spatial techniques.

A new model improves link prediction in multiplex social networks.

This article examines how LLMs analyze online opinions about long COVID treatments.

A novel approach to understanding how information travels through social networks.

DyPyBench offers a diverse set of projects for dynamic analysis in Python.

Learn how execution taints and memoization can enhance mutation analysis efficiency.

This study investigates how well LLMs can generate architectural decisions.

A new method reduces syntax errors in code generated by large language models.

A new method enhances the testing of visual entailment systems by focusing on object relationships.

A new method uses machine learning to detect errors in MPI programs effectively.

A review of deep learning's role in predicting software performance configurations.

A study reveals the complexity of detecting vulnerabilities that span multiple code units.

New method improves speaker verification by merging audio and visual data.

A study on using transformers for effective music tagging and representation.

A new method enhances speaker tracking using audio and visual data.

A novel approach to assess piano music difficulty using sheet music images.

PP-MeT aims to enhance accuracy in transcribing multi-speaker meetings.

This research presents a model for improving speech clarity across different conditions.

Exploring advancements in automated audio captioning and its impact on accessibility.

Research introduces an effective method for improving speech clarity in noisy settings.

A look into the role of quantum circuits in computing and future prospects.

Explore the unique properties and applications of elliptic surfaces in mathematics.

Grobner bases simplify computations in solving polynomial equations, impacting fields like cryptography.

CGPO enhances decision-making in uncertain scenarios with mixed actions.

Explore solutions for agents moving through shared spaces without collisions.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

This method improves tracking of solutions in changing systems of equations.

A novel algorithm improves computation of polynomial equations using Gröbner bases and Hensel lifting.

This article discusses strategies to control harmonic oscillators while minimizing energy use.

A new method improves parameter tuning in power systems using automatic differentiation.

Learn how CPP addresses uncertainties in optimization for better decision-making.

A new method enhances control of complex systems using data-driven techniques.

UXsim offers insights into traffic management and simulations.

Adapting control strategies for renewable energy integration.

A new converter system enhances energy management in modern applications.

A framework improves energy trading strategies for balance responsible parties.