Computer Science

Introducing a score-based solver for complex high-dimensional problems.

A new model improves robot action prediction and adaptability in diverse tasks.

Exploring new methods to enhance decision-making in learning agents.

SimuCourt evaluates agents' abilities to make informed legal decisions.

A look at the importance of aligning AI systems with human values.

A new method enhances molecule-caption translation using Large Language Models.

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

A new method improves real-time weather predictions for Italy, focusing on wind speed.

A new method improves event argument extraction in complex documents.

A new dataset to assess planning skills of language models in real-life tasks.

A new framework merges large and small models to prioritize user data protection.

SimuCourt evaluates agents' abilities to make informed legal decisions.

Study reveals significant data overlap affecting language model evaluations in code generation.

A look at the importance of aligning AI systems with human values.

A new method enhances molecule-caption translation using Large Language Models.

LLM-based agents show promise in improving Root Cause Analysis for cloud incidents.

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.

Research explores the separation of quantum and classical proofs in complexity classes.

This article examines if transformers can simulate weighted finite and tree automata.

Learn to tackle complex graph problems using periodic sets and tree decomposition.

This article examines links between Depth-3 circuits and SAT problem-solving techniques.

This paper presents a novel framework using quantum neural networks for unitary matrix approximation.

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.

New dataset and framework improve object detection in SAR imaging.

Innovative methods improve predictions of crack development in engineering materials.

A look at how ICLRNN enhances neural networks for real-world applications.

A new approach to handle complex changing domains in numerical simulations.

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

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.

This study introduces methods to enhance furthest-neighbor queries in simple polygons.

This study reveals methods for detecting unusual gaps in object movement data.

Innovative methods enhance efficiency in packing unequal circles into containers.

This work presents a new method for computing Reeb spaces in complex data sets.

Examining the link between asset pricing factors and market performance using random portfolios.

An improved algorithm for cycle packing in unit disk graphs.

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.

New methods improve strategies in extensive-form games for better outcomes.

Analyzing how winner-pays-bid auctions stabilize seller revenue.

Learn how SPIs can improve negotiation results for all parties.

A new model aims to reward NFT creators over time.

Examining how default settings shape behavior in resource extraction.

A new model improves chest X-ray classification for lung diseases.

New models improve machine visual reasoning through object relationships.

Introducing CRNL, a method for analyzing both structured and unstructured data.

A fresh approach enhances robots' ability to learn from instructional videos.

New methods improve cancer detection using AI without needing extensive labeled data.

A look into video semantic segmentation and its advanced techniques.

Using synthetic training data to enhance efficiency in detecting terminal strips.

ComFe enhances understanding of image classification by focusing on key features.

How to protect users while using advanced language model systems.

iScore helps educators evaluate how well language models score written summaries.

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

A look at balancing fairness and accuracy in AI decision-making.

Analyzing the EU's sanctions on Russian media and their mixed effectiveness.

Examining user experiences and developer challenges in VR safety measures.

This study reviews interoperability in the Metaverse and its critical role.

This study examines how project risks affect job satisfaction in Pakistan's IT sector.

New methods enhance DNN robustness against adversarial attacks by considering example vulnerabilities.

This paper reveals how OpenVPN can still be detected by ISPs.

Investigating techniques to enhance security in BusyBox used in IoT devices.

A new automated method helps developers create security test cases for RESTful APIs.

Exploring privacy-preserving techniques in machine learning and their significance.

PhenoAuth offers a new approach to secure IoT device authentication.

A novel approach enhances data recovery while addressing privacy concerns in federated learning.

WaterMax improves watermarking in AI-generated text, ensuring quality and traceability.

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

A new protocol for safe digital asset exchanges among multiple parties is introduced.

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

A look into optimizing communication networks with binary tree structures.

Examining the complexities of message delivery in connected graph networks.

Strategies to optimize inventory placement for better order fulfillment in e-commerce.

An exploration of sumsets and their significance in computational mathematics.

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

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

Exploring the best database for an EV charging network.

ACORN allows for efficient searching of mixed data types, improving performance significantly.

This study reveals methods for detecting unusual gaps in object movement data.

Quokka introduces write-ahead lineage for improved fault recovery in data processing.

A novel system leverages LLMs for effective query rewriting.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

A new method for managing data flow while respecting user privacy choices.

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.

Researchers develop new ways to analyze web data from Common Crawl archives.

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.

A new method simplifies the study of random geometric graphs for deeper insights.

An overview of contraction perfect graphs and their significance in graph theory.

Businesses face challenges in facility placement with fluctuating customer demand and congestion.

Exploring piecewise-constant lifting for improved integer programming solutions.

Addressing challenges in federated learning due to diverse devices and data.

A look at how model parallelism assists in training large neural networks.

A novel approach enhances data recovery while addressing privacy concerns in federated learning.

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

A tool for measuring data shuffling performance in stream processing frameworks.

Braid enhances scientific research by managing complex workflows effectively.

A new framework to improve learning in Federated Incremental Learning while ensuring data privacy.

A new method enhances DNN efficiency on limited-resource devices.

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.

Examining user experiences and developer challenges in VR safety measures.

A look at new techniques for scalable quantum computing using integrated photonics.

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

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 article explores how q-deformed coefficients enhance our understanding of word patterns.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

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.

MeshAC creates adaptive 3D meshes for accurate material simulations at multiple scales.

New method improves avatar movements using augmented reality and virtual reality data.

pARam simplifies customization of items using XR technology and parametric designs.

A novel approach improves shape representation in complex 3D data.

Examining how social media shapes discussions on morality and political issues.

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.

New methods improve deep learning efficiency on structured hardware.

New methods enhance performance of language models by optimizing memory usage.

Study reveals how drivers prefer communication while distracted.

Exploring the role of social robots in enhancing sleep quality and health.

New method detects SIIDs by assessing input/output channel availability.

Using AR to lessen smartphone distractions shows promise for improving focus.

LightSword offers a new way to improve cognitive skills in seniors through engaging gameplay.

Examining how pedestrians respond to automated vehicles in shared environments.

Exploring how AVs can express emotions to enhance safety and comfort for pedestrians.

DeepSee aids scientists in visualizing ocean data for better research outcomes.

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.

A new method helps AI models find answers in lengthy texts more effectively.

A new approach to enhance recommendation systems by improving accuracy and diversity.

ACORN allows for efficient searching of mixed data types, improving performance significantly.

A framework to evaluate biases in recommendations generated by large language models.

Examining methods for effective image searches in histopathology.

Exploring the potential of IRSs in THz communications for enhanced signal performance.

Analyzing ranking methods influenced by adversarial comparisons.

A new method to improve machine learning model performance through structured feature partitioning.

A look at how hotplug coded caching enhances performance while protecting user privacy.

A novel decentralized approach improves learning performance in resource-limited IoT networks.

New methods to speed up decoding of non-binary polar codes for better communication.

Explore how retrodiction connects past events to current understanding in various fields.

A new method for optimizing beam patterns in mmWave systems.

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

A guide to using hesitant fuzzy soft sets in complex decision-making scenarios.

Understanding how Graph Neural Networks model complex relationships in data.

This article examines the structure and applications of intuitionistic modal logic L.

An overview of complex reachability problems in linear systems.

A new approach to simplify data access agreements.

A guide to defining execution strategies in real-time system analysis.

This article simplifies cubical categories, making their importance clear in math and computer science.

New methods enhance decision-making in reinforcement learning through better outcome predictions.

A new model improves chest X-ray classification for lung diseases.

New models improve machine visual reasoning through object relationships.

Introducing a score-based solver for complex high-dimensional problems.

A benchmark dataset enhances machine learning for better tornado detection.

A new method improves event argument extraction in complex documents.

A new model improves robot action prediction and adaptability in diverse tasks.

Exploring new methods to enhance decision-making in learning agents.

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.

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.

A new communication strategy for multi-agent systems enhances efficiency and adaptability.

This piece discusses the importance of trust in personal and social contexts.

A new approach to understanding crypto market dynamics through advanced modeling techniques.

Exploring how deep learning helps us study the emergence of language.

A new logic improves the study of agent interactions in complex systems.

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.

CoAVT integrates audio, visual, and text data for enhanced understanding.

Create talking avatar videos easily with Virbo's innovative system.

A new method enhances network data insight without hardware costs.

T-DFSA enhances real-time data updates for IoT devices, ensuring timely and accurate information.

This method boosts mmWave localization efficiency using self-supervised learning techniques.

A look into optimizing communication networks with binary tree structures.

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

Drones improve communication during emergencies by providing vital support when networks fail.

This study presents a framework for managing satellite communication resources for mobile users.

Analyzing the EU's sanctions on Russian media and their mixed effectiveness.

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.

EMBGO improves search for optimal solutions in complex numerical tasks.

Introducing a score-based solver for complex high-dimensional problems.

A method for simplifying concrete modeling in nuclear plants enhances safety and efficiency.

A new approach improves solutions for particle movement in fluids with changing boundaries.

Introducing an innovative scheme for creating smooth curves from irregular points.

Improving methods for solving Navier-Stokes equations with noisy data.

A detailed look at techniques for locating sound origins and their applications.

New strategies improve speed and efficiency in constructing reduced-order models for complex systems.

Learn how ADMM efficiently solves distributed optimization problems.

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 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.

Research focuses on optimizing transformers for small devices with limited resources.

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 automated program generation using realizability and realization logic.

A new system enhances monitoring of WebAssembly applications without impacting performance.

A new memory allocator offers enhanced safety and performance for software development.

A framework simplifies peephole optimizations for better performance in Java applications.

Learn how programming frameworks enhance differential privacy for data analysis.

A new model improves robot action prediction and adaptability in diverse tasks.

Exploring the role of social robots in enhancing sleep quality and health.

New methods enhance robots' multi-task learning and adaptability in complex environments.

A new robotic system aims to improve feeding for those with mobility challenges.

A new control system enhances legged robot movements and performance.

New hierarchical agent improves robotic manipulation with better precision and learning.

A new method enhances robots' abilities to move efficiently on uneven surfaces.

A new method aims to improve safety in mobile robots by addressing uncertainties.

This article examines how differences impact group opinion formation.

A new framework improves item suggestions by balancing social influence and user preferences.

Examining user responses to misinformation and effective correction strategies.

This article examines how British MPs and journalists shape political discussions on Twitter.

Introducing a multiscale method to improve fairness in electoral district drawing.

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

Learn how GKEDM improves Graph Convolutional Network performance.

This article examines how biases influence judgments about news headlines.

Study reveals significant data overlap affecting language model evaluations in code generation.

LLM-based agents show promise in improving Root Cause Analysis for cloud incidents.

Research explores methods to differentiate human-written code from AI-generated code.

Investigating techniques to enhance security in BusyBox used in IoT devices.

This article examines OSS documentation's impact on software adoption decisions.

A new automated method helps developers create security test cases for RESTful APIs.

Learn how to fix vulnerabilities effectively in open source software.

A tool for measuring data shuffling performance in stream processing frameworks.

A new method improves voice recognition using fewer labels and resources.

New methods enhance linking text descriptions to sound events.

Innovative methods improve how robots process sound direction while in motion.

Learn about real-valued beamforming and its benefits for microphone arrays.

MusicAOG simplifies music creation and understanding through innovative graph representation.

A new framework for combining spherical microphone and loudspeaker arrays in sound studies.

A new framework for improving sound detection in humanoid robots through microphone array design.

Discover how MIMO systems improve sound analysis in various environments.

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.

Learn about WebPie, a simple language using dependent types for safe programming.

A study on the impact of ambulance offload teams in reducing delays.

T-DFSA enhances real-time data updates for IoT devices, ensuring timely and accurate information.

A look into the challenges and solutions for integrating digital engineering tools.

A new method aims to improve safety in mobile robots by addressing uncertainties.

Exploring how fuzzy logic improves mobile robot movement and decision-making.

Exploring how Smart Digital Twins are reshaping various industries through deep learning.

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

A new approach to secure CAVs against risks and improve transportation safety.