Computer Science

Examining how robots make decisions in human interactions.

A novel approach improves image segmentation using minimal labeled data.

This approach enhances image search accuracy with a novel retrieval system.

A framework to improve federated learning by separating data management from model training.

A deep learning approach improves tracking of live cell contours over time.

A new algorithm improves game decision-making using MCTS and PNS techniques.

This article examines how time and cause improve argument analysis frameworks.

An analysis of how well LLMs tackle arithmetic problems using different techniques.

A new method enhances model performance with diverse, context-aware prompts.

A new method enhances transformer efficiency by using earlier layer outputs for predictions.

An analysis of how well LLMs tackle arithmetic problems using different techniques.

This article discusses challenges and improvements for Vietnamese language models.

A model improving efficiency in handling lengthy text inputs in natural language processing.

Improving dialogue generation by focusing on quality cases.

KD-NAS creates smaller language models that are fast and efficient.

Examining the importance of timing in medication for better health outcomes.

A look into the challenges of finding clusters in graphs.

A deep dive into circuit lower bounds and their significance in computational complexity.

New methods improve the accuracy of distinguishing quantum states in research.

Learn about the key aspects of quantum state synthesis and its applications.

A comparison of classical and quantum computing methodologies and their implications.

A concise overview of graphs, their types, and decomposition methods.

A look at runtime complexity and tuple interpretations in algorithm efficiency.

A look into the complexities of identifying hidden strings using queries.

A new approach that links design and simulation for better efficiency.

GDL helps engineers efficiently tackle design problems using graph structures.

An innovative approach to forecast stock price changes through image classification.

A new model improves groundwater predictions efficiently and affordably.

A new method combines GPUs and CPUs for efficient fluid-particle simulations.

NSTO simplifies structure design, offering speed and quality improvements.

A new method improves efficiency in analyzing material behavior across multiple shapes.

Combining mechanistic and data-driven methods for better modeling in chemical engineering.

Exploring universal point sets for various classes of planar graphs.

Teams showcase their strategies in a complex graph coloring challenge.

This article discusses the limits of the Colin de Verdière parameter for graphs on surfaces.

This article discusses the use of GPU filtering to improve convex hull computation speed.

A new method improves matching 3D shapes using meshes and point clouds.

Discover the blend of fractals and advanced numbers for stunning visuals.

Researchers find significant counterexamples challenging conjectures in manifold topology.

An overview of 3-manifolds and their properties in mathematics.

Discover how positioning in games affects resource selection and player interaction.

Learn how to share costs fairly within a group to maintain stability.

A study on agents learning to cooperate in uncertain environments.

Learn effective methods to minimize bias in hiring candidates from various universities.

A fresh approach to matching people through connections and preferences.

Strategies to estimate measurements while facing denial-of-service attacks.

Explore how Ethereum's shift to PoS changes validator rewards and performance.

A look into cooperative games, focusing on the assignment game and core concepts.

Using CNNs to enhance the accuracy of rice disease classification.

Lana combines navigation and explanation for advanced robot-human interaction.

A novel approach improves image segmentation using minimal labeled data.

This approach enhances image search accuracy with a novel retrieval system.

Using Geometric Image Matching to improve optical flow performance.

A model predicting MRI settings enhances reliability in medical imaging.

A deep learning approach improves tracking of live cell contours over time.

This article discusses combining visual and audio data for better emotion recognition.

Exploring how intersectionality influences fairness in AI systems and its social implications.

Exploring how moral values and politics shape attitudes toward mask-wearing.

A look at the demographics within communities of interest across various fields.

This article discusses how homogeneous ensembles improve fairness in machine learning models.

This study examines AI's role in shaping views on disputed territories.

Examining the potential and pitfalls of LLMs in educational environments.

Research highlights the impact of gender bias in tech tasks.

AR applications can improve face-to-face interactions with friends and pets.

Exploring the benefits and challenges of homomorphic encryption in data processing.

A novel approach to sharing keys securely between mobile robots and their controllers.

New strategies for safeguarding deep neural networks against unauthorized use.

A new predictor safeguards automated driving from manipulated obstacles.

A new approach improves recommendation quality while safeguarding user privacy.

This new system protects digital signatures against the risks of quantum computing.

SSL-Cleanse addresses Trojan attacks in self-supervised learning models.

Explore how Ethereum's shift to PoS changes validator rewards and performance.

Learn effective methods to minimize bias in hiring candidates from various universities.

A flexible approach to optimizing with certainty in the presence of randomness.

Teams showcase their strategies in a complex graph coloring challenge.

A look at how quantum channel certification secures the functioning of quantum systems.

New classical algorithm competes with quantum methods in machine learning tasks.

Understanding the complexities of exploring graphs with unlabeled nodes.

A look into cooperative games, focusing on the assignment game and core concepts.

Learn how sparse arrays optimize data storage and analysis in modern computing.

A framework to improve federated learning by separating data management from model training.

A new system enhances the speed of materialized view updates using efficient memory strategies.

New method improves query answering using relational patterns in knowledge graphs.

This study analyzes termination algorithms for managing database rules effectively.

Exploring the importance of why-provenance in database query explanations.

Learn about handling transactions in databases for improved performance and reliability.

A look at GETT-QA's role in efficient information retrieval using knowledge graphs.

A tool that rewrites code to enhance data analysis performance effortlessly.

A new method aims to clarify authorship in academic papers.

A study reveals the complex relationship between past discoveries and new research impact.

DBLP-QuAD provides 10,000 question-answer pairs for academic publications.

A new data set that connects research artifacts and publications for deeper insights.

A study on how well documents are accessed in mixed search systems.

A new data set enhances research with 1.9 million academic papers and improved citation networks.

A new framework improves metadata quality in digital libraries for better access.

OntoMath 2.0 organizes mathematical knowledge for better access and use.

Exploring universal point sets for various classes of planar graphs.

Discover how positioning in games affects resource selection and player interaction.

A look into the challenges of finding clusters in graphs.

Learn how sparse arrays optimize data storage and analysis in modern computing.

New methods tackle storage constraints in time-dependent routing problems effectively.

New data structures reduce space for finite groups while enabling quick multiplication.

This article discusses odd coloring and its implications in graph theory.

A concise overview of graphs, their types, and decomposition methods.

Focus on improving server efficiency for cloud services.

A framework to improve federated learning by separating data management from model training.

Tetris enhances cloud-based stencil computations for scientific research accessibility.

A new approach to improve performance and resource allocation in WSCs.

RT-DBSCAN uses ray tracing to speed up clustering for large datasets.

New sampling techniques enhance accuracy and efficiency in analyzing complex hidden systems.

Exploring AdaSAM's impact on machine learning model training efficiency and performance.

A new method helps users monitor decentralized applications running on cloud platforms.

A new framework integrates classical and quantum computing for efficient packing solutions.

Skyrmions may lead to new computing methods that are efficient and powerful.

Discover how Ising machines improve generative model training.

BrainScaleS mimics brain activity to enhance research on neural behaviors.

New methods aim to enhance tracking of tiny devices in the human body.

This study investigates how robots can coat surfaces using tiles efficiently.

New memory technology improves efficiency and speed using light and phase change materials.

Explore recent TCAM developments, including efficient designs and energy-saving technologies.

A new approach to visualize and analyze complex business processes.

Learn how DyVeRG tracks evolving connections in various fields.

This article discusses how languages grow using symbols and mathematical concepts.

Learn about automata types, their states, inputs, and outputs.

This study examines the relationship between automata and bicategories for deeper insights.

A guide to the concepts and applications of Temporal Logic in computer science.

A concise overview of finitary automata and the importance of reducing their complexity.

Researchers bridge DPO hypergraph grammars and hypergraph Lambek grammars for better language understanding.

Investigating ChatGPT's view on its own intelligence and implications for consciousness.

A new platform enhances the design and movement of soft robots in varied environments.

A new approach that links design and simulation for better efficiency.

Learn how secondary motion enhances realism in animated scenes.

A new method streamlines motion capture by estimating joint locations automatically.

Learn how animators create realistic breakage using advanced simulation techniques.

A new method combines sketches and text for improved 3D model editing.

A workshop to improve data visualization education and skills through collaborative efforts.

SECAD-Net simplifies the creation of editable CAD models from raw data using self-supervised learning.

Focus on improving server efficiency for cloud services.

Exploring the role of deep learning in improving FPGA design efficiency.

An innovative tool for learning about resource management in diverse computing systems.

A framework for assessing soft error risks in FPGA systems early in design.

New simulation environment boosts Logic-in-Memory research and efficiency.

DiffPattern generates diverse and compliant layout patterns for integrated circuits efficiently.

A new model aids in studying DRAM caches and their role in memory systems.

A new model enhances DRAM cache performance analysis in computer systems.

Understanding thoughts of workers and unhoused individuals on AI-driven housing allocation.

Exploring how touch feedback aids in fine motor skill development.

A new tool for responsible group analysis in data-driven fields.

A new tool helps fix systematic errors in machine learning models.

A browser-based tool improves explainability and user trust in machine learning models.

Study reveals the impact of biased explanations on decision-making in recommendations.

This article examines reasons for regrettable health sharing on social media during the pandemic.

This article explores how metacognition and motivation influence student learning success.

A new approach improves recommendation quality while safeguarding user privacy.

Study reveals the impact of biased explanations on decision-making in recommendations.

Assessing the security of code generated by Large Language Models through LLMSecEval.

This study enhances ranking evaluations through interleaving and statistical testing.

A comprehensive evaluation of tools for extracting data from academic PDFs.

Discover how the IMF model improves link prediction accuracy using diverse data types.

A method for creating Song Ci lyrics using machine learning and linguistic analysis.

Introducing an innovative app for personalized book suggestions in public libraries.

New functions enhance neural network performance for complex data tasks.

A new approach to improve connectivity using UAV technology and decentralized learning.

Strategies to estimate measurements while facing denial-of-service attacks.

Combining sign-bit shaping and probabilistic amplitude shaping boosts wireless communication.

A look at self-supervised learning methods and their impact.

A look at how quantum channel certification secures the functioning of quantum systems.

Discover how quantum mechanics can conceal messages within normal communication.

New methods tackle storage constraints in time-dependent routing problems effectively.

Learn about -adic functions and their significance in mathematics and number theory.

An analysis of membership in hypergeometric sequences using polynomial relations.

This article explores how metacognition and motivation influence student learning success.

Mixing problem-solving techniques boosts students' metacognitive skills and academic success.

Research reveals effective teaching methods for logic and probability skills.

A look into Cyberlogic's role in managing secure digital transactions.

This article discusses methods for counting homomorphisms in hypergraphs.

Discover new techniques for studying infinite sequences with stream calculus.

New methods to predict outcomes without compromising patient privacy.

This article discusses the benefits of biophysical synapses in neural networks.

A novel method combines physical models and AI for better solar power predictions.

A model predicting MRI settings enhances reliability in medical imaging.

A new method enhances model performance with diverse, context-aware prompts.

A study on agents learning to cooperate in uncertain environments.

Study uses AI to create synthetic images of Rosacea for better diagnosis.

A flexible approach to optimizing with certainty in the presence of randomness.

EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.

Explore how Python and C++ work together for efficient data analysis.

Rang helps researchers document and recreate their computational environments for accurate analysis.

Combining machine learning and PDEs improves modeling of complex physical systems.

A new library enhances complex calculations in PIM architectures.

Discover how local graph clustering simplifies data analysis in large networks.

Waywiser simplifies assessment of spatial models for reliable predictions.

A look into LU factorization and its importance in solving linear equations.

Research reveals techniques for robots to estimate hidden agents' actions.

A new method for consensus control prioritizes privacy while enabling effective communication among agents.

A new approach to inventory management combines adaptability with clear decision-making.

Introducing DEAM, a new model that enhances deceptive strategies in reinforcement learning.

Agents enhance task performance by discovering and utilizing communication channels effectively.

Explore how federated decision-making enhances privacy while allowing collective intelligence.

Exploring how robots can work together efficiently in complex environments.

This model offers a new approach to allocate healthcare resources fairly and efficiently.

Lana combines navigation and explanation for advanced robot-human interaction.

GlueGen transforms how text and other inputs create images.

This study merges audio descriptions with images to evaluate low-light photography quality.

Generative AI tools are changing the way we create content across various fields.

A new method enhances federated learning model accuracy while protecting user data.

Learn the essentials for formatting documents for ACM conferences and journals.

A new model improves audio classification using advanced techniques.

New framework improves image generation from text descriptions through separation techniques.

A new method enhances peer selection for faster message delivery in P2P networks.

Enhancing gaming experience through better resource management in augmented reality games.

A study on improving detection systems for augmented-reality driving applications.

This study focuses on improving the movement of Mobile Access Points using AI.

A new method helps users monitor decentralized applications running on cloud platforms.

Examining how O-RAN can enhance connectivity in autonomous vehicles.

New algorithms enhance detection capabilities against IoT cyberattacks.

LogQA streamlines log analysis, offering direct answers to operators' queries.

This article discusses the benefits of biophysical synapses in neural networks.

NeuroDM combines brain science and data mining for better insights and outcomes.

Discover how Ising machines improve generative model training.

Researchers explore machine learning using unique wave behavior in liquid systems.

New model improves control of prosthetic hands using sEMG signals.

Exploring privacy challenges and solutions in evolutionary computation algorithms.

BrainScaleS mimics brain activity to enhance research on neural behaviors.

A new method enhances search for neural networks by balancing performance metrics.

Examining stable solutions for the backward heat conduction problem and its variants.

A look at strategies to improve DHN design for better performance and cost savings.

A study on source conditions in regularization for better problem-solving.

This article presents a new method for interpreting neural network outputs through inversion.

This article explores numerical methods for solving the Cauchy problem effectively.

Exploring the designs and functions of low Reynolds number swimmers.

A method using Quasi-Monte Carlo for efficient volume and surface area calculations.

A method to simplify solving complex partial differential equations for various applications.

A new approach to improve performance and resource allocation in WSCs.

An innovative tool for learning about resource management in diverse computing systems.

Businesses seek new ways to secure data in the cloud with confidential computing.

A new framework for easier FPGA use in virtual environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

This article discusses adaptive modeling techniques for Cyber-Physical Systems using Validity Frames.

Exploring how digital twins enhance safety and trust in autonomous drone operations.

Research aims to improve search techniques using drones in SAR missions.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

AwkwardForth enhances Uproot for faster ROOT file processing.

Innovative algorithms improve resource scheduling without precise network state knowledge.

Learn how range regularization enhances AI model compression and quantization.

A new model aids in studying DRAM caches and their role in memory systems.

A new model enhances DRAM cache performance analysis in computer systems.

CXL memory offers a promising way to meet rising demands for speed and capacity.

Using machine learning to optimize storage formats for sparse matrices.

A method to improve performance and save energy in scientific applications.

An interactive tool to fix type errors efficiently in Haskell programming.

This article discusses a method for converting C code to Rust with a focus on ownership.

A look into the rules and strategies of chess.

A look at improving fexprs' performance through partial evaluation in Lisp programming.

Learn about handling transactions in databases for improved performance and reliability.

A new compiler optimization method enhances data access speeds in distributed systems.

A tool that rewrites code to enhance data analysis performance effortlessly.

SAFE-CSV simplifies and strengthens data processing for CSV files.

Examining how robots make decisions in human interactions.

New methods improve data sharing among robots for better performance.

Lana combines navigation and explanation for advanced robot-human interaction.

A novel approach to sharing keys securely between mobile robots and their controllers.

Exploring how touch feedback aids in fine motor skill development.

Researchers enhance control systems for buoyancy-assisted robots like BALLU.

A new platform enhances the design and movement of soft robots in varied environments.

Essential instructions for authors to ensure successful paper submission.

Exploring how moral values and politics shape attitudes toward mask-wearing.

A look at the demographics within communities of interest across various fields.

This article examines reasons for regrettable health sharing on social media during the pandemic.

A study on managing rumor spread using user impressions.

A model exploring connections in directed networks using hyperbolic graphs.

Explore how federated decision-making enhances privacy while allowing collective intelligence.

A fresh approach to tackle rumors across different topics using advanced techniques.

Learn how DyVeRG tracks evolving connections in various fields.

This study explores how instrumentation affects the reliability of software testing.

A study on WebAssembly projects reveals key issues developers face.

A study on improving the recognition of self-admitted technical debt in software.

Assessing the security of code generated by Large Language Models through LLMSecEval.

Libraries connect various programming languages and tools for efficient software development.

Examining how models adapt to different code sources.

Research highlights the impact of gender bias in tech tasks.

Architectural blogs provide key insights for software design decisions.

New models improve the efficiency and accuracy of piano transcription.

New dataset tackles real-world challenges in active speaker detection technology.

A new metric enhances ASR performance evaluation for medical transcription accuracy.

A new method enhances Automatic Speech Recognition against adversarial challenges.

This study focuses on enhancing intent classification through speech improvement techniques.

This study examines how training techniques affect speech model performance.

New methods improve room acoustic estimations using sound analysis.

A new model improves sound experiences by incorporating visuals and personal factors.

DAP improves matrix computations on supercomputers through efficient task management.