Computer Science

A new framework improves machine learning models for uneven data distributions.

A look at mixing music, blending technical skills with artistic vision.

GSANs improve data processing in complex structures like graphs and simplicial complexes.

A new framework improves accuracy in node classification with limited labeled data.

Efficient low-rank training enhances CNN models for resource-limited environments.

Enhancing scientific data documentation is vital for fair ML practices.

Learn how conversational QA models are changing user interactions with AI.

A new model that improves graph learning by focusing on node pairs.

This study assesses the performance of language models on modified math problems.

Explore how the x-elm approach enhances multilingual language processing.

Enhancing dialogue agents by integrating cultural understanding for better interactions.

Learn how conversational QA models are changing user interactions with AI.

Code prompts enhance reasoning performance in large language models like GPT 3.5.

A new method enhances how we identify synonyms and antonyms.

A look at how machine translation reflects and reinforces gender bias.

Enhancing LMMs to reason and ask questions for better accuracy.

Examining proof systems, their methods, and their connection to satisfiability solving.

New methods improve efficiency in matrix updates and algorithms.

An exploration of efficient higher-order functionals and their implications in computing.

Examining how pigeonhole principles and Ramsey theory shape search problems in computer science.

Quantum pseudorandom state scramblers enhance random state generation in quantum computing.

Examining the complexities of reconfigurable routing in modern data center networks.

Learn how omniprediction shapes forecasting in various industries.

A deep dive into the world of CSPs and their solutions.

MatSciRE streamlines data extraction from material science articles to aid battery research.

A new model predicts material behavior efficiently using machine learning techniques.

Exploring methods to make AI in finance more understandable and trustworthy.

A novel approach guarantees mass conservation in fluid dynamics models.

A new system streamlines PanAir processes for efficient aircraft analysis.

A look into time slot allocation and its effects on train competition.

A novel SPH approach improves simulation for plates and shells under deformation.

Exploring the integration of machine learning in water electrolysis technology.

Exploring methods to study overlapping curves in geometry and algebra.

New techniques improve diameter calculations for unit-disk graphs, aiding efficient network analysis.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

Discover the vital role receivers play in effective communication dynamics.

Exploring methods for fair resource and task distribution based on preferences.

Learn how to design effective trade mechanisms for small market participants.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Creating a balanced platform for organizations to share and benefit from data insights.

This article explores using game theory to enhance communication through language models.

Learn how Transaction Fee Redistribution Mechanisms can lower costs for blockchain users.

How network structures affect opinion sharing and belief accuracy.

A new method improves segmentation of white matter lesions in preterm infants.

APIS dataset aids in analyzing stroke lesions using advanced imaging techniques.

A deep learning method enhances kidney problem detection in medical imaging.

Examining fairness and accuracy in detecting vulnerable road users by autonomous vehicles.

Efficient low-rank training enhances CNN models for resource-limited environments.

A system that tracks interactions between people and objects in homes.

SADIR improves 3D reconstruction by incorporating shape knowledge for better accuracy.

A system to create text transcriptions from manga for visually impaired readers.

A look at how machine translation reflects and reinforces gender bias.

Investigating the risks of jailbreak attacks on Large Language Models.

Examining the role of social practices in motion capture technology.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

Explore how transparency in smart home devices impacts privacy and user trust.

Examining the impact of sentiment analysis on Bengali identities and biases.

Examining how developers shape community interactions on Twitch.

Examining the factors leading to underproduction in open source projects.

Contrastive unlearning efficiently removes data influence while preserving model performance.

Examining the risks of integrating Foundation Models into Federated Learning systems.

CleanSheet advances model hijacking without altering training processes.

Phishing tactics are evolving with AI, posing new risks for organizations.

Leveraging AI to improve the analysis and security of smart contracts.

Recognizing hidden flaws improves software vulnerability prediction and security practices.

A new approach improves car security through efficient intrusion detection systems.

New methods enhance time synchronization security against delays from cyber attacks.

Learn how q-digests summarize data while ensuring security and privacy.

Introducing a new method for faster network analysis and reconstruction.

This work presents methods for generating trees to model graphs effectively.

A guide to choosing billboard slots that maximize advertising impact.

Discover the vital role receivers play in effective communication dynamics.

Examining the complexities and strategies for neural network learning in various data types.

Learn how cross-validation enhances the reliability of predictive models.

Creating a balanced platform for organizations to share and benefit from data insights.

A new system aims to improve pattern detection in large log databases.

A guide to choosing billboard slots that maximize advertising impact.

A new system improves schema matching accuracy using generative tags and advanced features.

This study presents methods to reduce regret in billboard advertising slot allocation.

A system to streamline data collection on superconductors for improved research accuracy.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Enhancing scientific data documentation is vital for fair ML practices.

This study enhances case law research through combined topic modeling and citation analysis.

Explores the connection between academic citations and scientific disruption.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

This work presents methods for generating trees to model graphs effectively.

This article studies maximal cliques across various random network models.

A look at hypergraphs and their significance in analyzing complex connections.

Exploring methods to improve search efficiency in trees with varying node costs.

Examining the complexities of reconfigurable routing in modern data center networks.

A study on point arrangements and their implications in combinatorics and group theory.

This article examines the connections in friends-and-strangers graphs and their implications.

Explore how character order affects BWT performance in data compression.

A new method to improve response times in language models by separating processing phases.

This paper discusses using wireless technology for monitoring seismic activity.

Examining the risks of integrating Foundation Models into Federated Learning systems.

A novel approach enhances efficiency in Kronecker Matrix-Matrix Multiplication for machine learning tasks.

Learn how q-digests summarize data while ensuring security and privacy.

Learn how ASA improves efficiency in scientific computing workflows.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A look into memory management techniques for improved performance in multi-threaded applications.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

This article analyzes succinctness in safety and cosafety languages using Linear Temporal Logic.

Discover how dependent variables can streamline reactive synthesis processes.

A look into Parametric Timed Games and their applications in real-time systems.

New methods improve the safety verification of Bayesian Neural Networks against attacks.

Examining challenges transformer models face in learning structural recursion.

New methods improve efficiency in automata learning for complex systems.

A study of deterministic Parikh automata and their role in processing infinite words.

A model creates realistic 3D shapes from various inputs rapidly.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

New method enables realistic 3D rendering from regular photos.

A new model enhances community search by integrating multi-dimensional edge attributes.

A look at how art and technology merge to create lifelike visuals.

This article presents a simpler way to render fabric details effectively.

A new method improves the creation of emotionally expressive talking-head videos.

This paper presents an AI method for efficient apartment building design.

Exploring the impact of hardware accelerators on Large Language Models.

A new framework enhances GPU performance for deep learning tasks.

A new method improves efficiency and design quality in logic synthesis using machine learning.

A low-power op-amp design for improved biomedical applications.

Learn how CNM and CIM optimize data handling for machine learning.

A look at advancements in THz communication technology for IoT.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

A look at mixing music, blending technical skills with artistic vision.

Study analyzes how users interact with two search methods for locating images.

A study reveals common ethical issues in mobile app reviews.

Different ways of showing examples can shape problem-solving skills.

Examining the role of social practices in motion capture technology.

Promoting thoughtful dialogue through reflective prompts on online platforms.

New teaching methods like Prompt Problems transform programming learning.

Explore how transparency in smart home devices impacts privacy and user trust.

Learn how conversational QA models are changing user interactions with AI.

Study analyzes how users interact with two search methods for locating images.

MatSciRE streamlines data extraction from material science articles to aid battery research.

This study enhances case law research through combined topic modeling and citation analysis.

Optimizing term selection enhances personalized recommendations in information retrieval.

A system to help MPs find relevant documents efficiently.

A method to identify new antisemitic terms in social media discussions.

Examining the role of dislocations in material properties and engineering.

A look at how differential privacy safeguards individual data privacy.

A detailed guide to subsethood and granules in information theory.

Innovative methods improve wireless communication speed and fairness among devices.

UAVs enhance VHF communication, improving coordination in military operations.

Exploring Age of Information and queuing systems for real-time updates.

Discover the essential aspects of linear codes in data protection.

Exploring the role of ACC codes in enhancing quantum error correction methods.

GSRCs improve data recovery and storage efficiency in distributed systems.

This article analyzes succinctness in safety and cosafety languages using Linear Temporal Logic.

A new approach simplifies the creation of robotic swarms for various tasks.

A look into tools for verifying optimized software through scheduling languages and deductive verification.

A new method enhances proof generation for SAT Modulo Monotonic Theories.

Introducing Origami, a protocol enhancing interactive proofs for lookups using folding techniques.

Discover how dependent variables can streamline reactive synthesis processes.

Examining proof systems, their methods, and their connection to satisfiability solving.

New methods improve the safety verification of Bayesian Neural Networks against attacks.

A new method improves segmentation of white matter lesions in preterm infants.

A new framework improves machine learning models for uneven data distributions.

A new estimator improves efficiency in nonparametric regression models.

A new framework optimizes model selection in memory-constrained environments.

Contrastive unlearning efficiently removes data influence while preserving model performance.

A new model predicts surface conditions for better environmental monitoring.

GSANs improve data processing in complex structures like graphs and simplicial complexes.

A new framework improves accuracy in node classification with limited labeled data.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

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

Examining the efficiency and fairness in real-time vehicle task assignment.

A new method to improve decision-making in multi-agent environments.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

Exploring DiSC-UCB algorithm for effective action selection in uncertain environments.

Exploring how social identity shapes choices in AI agents for urban transportation.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Robots can work better in teams by sharing their abilities.

Innovative methods to enhance task execution and reduce failures in crowdsourcing.

Examining energy use and impact of video streaming on the environment.

A unified approach to assess fish feeding using audio and video data.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

A new system that connects music and language for better understanding.

A new approach enhances scheduling for improved efficiency in industrial IoT.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

New methods enhance time synchronization security against delays from cyber attacks.

This study examines cost-effective synchronization of SDN controllers for AR and VR demands.

Utilizing Ensemble Deep Neural Networks for timely data collection in drone-assisted networks.

A tool to improve Wi-Fi signal analysis and human activity recognition.

Integrating sensing and communication for smarter applications in various fields.

A new approach enhances service delivery in fog computing for IoT applications.

Discover how the brain predicts outcomes and manages uncertainties in decision-making.

New algorithm improves crystal structure prediction using multi-objective strategies.

Assessing how prepared drivers are in conditionally automated cars.

Improved forecasting methods enhance power management and reliability.

Study reveals strong patterns in depthwise-separable CNNs linked to biological vision.

Learn how sign averaging improves optimization in noisy environments.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

This study examines how sound waves scatter off complex fractal shapes.

Innovative methods improve predictions of wave interactions with materials.

A novel approach guarantees mass conservation in fluid dynamics models.

A new system streamlines PanAir processes for efficient aircraft analysis.

This article presents a method to solve the NLS equation while conserving mass and energy.

Maximize data from pressure application in nondestructive testing.

This paper examines error bounds in hierarchical Bayesian models for high-dimensional parameters.

Learn how Chisholm approximants aid in estimating functions with two variables.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

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.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

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.

Exploring Age of Information and queuing systems for real-time updates.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

New methods streamline PageRank updates as networks change.

A closer look at the performance and challenges of large language models in practice.

Unlocking the potential of graph databases with advanced query optimization techniques.

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

A novel communication model to boost IoT device connectivity and efficiency.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

A look at how SAM improves program execution with session types.

A look into tools for verifying optimized software through scheduling languages and deductive verification.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

A flexible system for better training of large neural networks.

A look into how meaningfulness shapes programming language design and evaluation.

Examining challenges transformer models face in learning structural recursion.

Discover the role of monadic intersection types in improving programming language type systems.

A new method combines camera and Lidar data for more accurate object positioning.

Examining how cars can operate without precise location data.

A new system improves how robots estimate object rotations during slippage.

This article presents a new approach for rearranging test tubes using robotics.

Nano-UAVs collaborate to map and explore environments effectively.

This study explores how machines connect actions to their outcomes through video analysis.

FISOR enhances safety in offline reinforcement learning through strict constraints and unique learning methods.

Research highlights deep learning's role in soft robot navigation.

A new model tackles challenges in graph neural networks using power series.

A new method merges satellite images and mobile data for urgent event response.

New methods improve accuracy and efficiency in predicting network connections.

A new framework enhances anomaly detection in graph data using active learning techniques.

A look at hypergraphs and their significance in analyzing complex connections.

A new model enhances community search by integrating multi-dimensional edge attributes.

Automated tools often misjudge African American English, leading to unfair treatment online.

Explore potential weaknesses in IOTA's peer-to-peer technology and its resilience against attacks.

Leveraging AI to improve the analysis and security of smart contracts.

Recognizing hidden flaws improves software vulnerability prediction and security practices.

A study reveals common ethical issues in mobile app reviews.

A new approach simplifies the creation of robotic swarms for various tasks.

Understanding software licenses is essential to avoid legal risks in development.

A user-friendly tool for managing research data and code versions.

Examining the factors leading to underproduction in open source projects.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Exploring new methods in sound detection and localization using synthetic data.

A new system helps musicians experience sound on a virtual stage.

New method improves detection of fake audio segments in recordings.

Computers are learning to separate rhythm and harmony in music for creative applications.

Microsoft's MuLanTTS offers natural and expressive French text-to-speech capabilities.

New datasets and methods improve vehicle classification for better traffic management.

New methods improve accuracy and speed in speech recognition technology.

A new synthesizer improves the generation of realistic sound effects for media.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

This article examines how solar mini-grids improve life in rural Kenya and Nigeria.

A new method combines camera and Lidar data for more accurate object positioning.

Examining how cars can operate without precise location data.

Nano-UAVs collaborate to map and explore environments effectively.

A framework for stable, reliable power systems with renewable resources.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

Discover how neural networks improve the efficiency of model predictive control.

Optimizing search tactics for elusive targets using diverse searcher capabilities.