Computer Science

MetRoBERTa enhances how transit agencies analyze customer feedback for better services.

New methods boost efficiency in training text classification models across languages.

A new AI framework ensures safe aircraft operation in crowded urban areas.

A new approach improves segmentation with minimal data.

This study presents a method for better anomaly detection using dimensionality reduction.

Exploring the potential of self-supervised learning in music information retrieval.

Discover how the Green Metaverse aims for energy efficiency and sustainability.

This article discusses advanced learning methods for SDN security.

New methods boost efficiency in training text classification models across languages.

Study reveals how chatbots recall conversations affects user engagement and privacy.

A new method improves text creation reflecting specific emotions efficiently.

A new method combines human insights and AI for better trading signals.

CLEVA offers standardized evaluations for assessing Chinese language models effectively.

A new method improves AI's ability to understand emotions in dialogue.

A new method improves speech recognition speed and accuracy while reducing resource use.

Research explores Slot Induction to enhance machine understanding of human language.

A look at qualitative and quantitative methods in understanding probability.

Methods to improve learning models amidst data shifts in various fields.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

Research focuses on efficient algorithms for k-factors in graph theory.

This article examines the complexity of counting the Brouwer degree in polynomials.

Research reveals complex low-energy states in fermionic Hamiltonians, challenging current quantum theories.

New methods enhance the verification of quantum random sampling outcomes using trapped ion systems.

Introducing a fresh approach to calculating VC dimension for better model training.

Virtual instruments improve the accuracy of optical measurements using advanced ray tracing techniques.

Discover the impact of Piecewise Linear Activations on deep learning models.

New techniques enhance the analysis of viscoelastic beams for engineering applications.

This study evaluates how reproducible Jupyter notebooks are in biomedical research.

A look at how SHAP and CEN improve data analysis insights.

A new method improves analysis of complex genetic data.

FCS-Net enhances identification of genetic features linked to diseases.

Innovative carbon capture technologies adapt to variable energy demands for a sustainable future.

A novel approach to accurately describe and adjust distortions in 3D data.

A look at how distance measures impact various fields through curve comparison.

A study on efficiently spacing points in two-dimensional space.

Examining how committees can effectively handle candidate failures in elections.

This paper presents a novel approach for comparing complex scalar data.

Research on edge crossings in topological graphs reveals important structural insights.

A novel method improves realistic 3D models from limited data.

Explore methods to create clear right-angle crossing drawings with minimal bends.

Examining strategies for balancing energy management and decision-making in game theory.

Exploring how general models adapt to specific tasks through collaboration.

Explore how contracts can be structured to influence agent behavior effectively.

A look at how campaigns use data to influence district fairness.

Examining how committees can effectively handle candidate failures in elections.

Examining the impact of shared randomness on costs in network congestion games.

Examining the importance of equitable product presentation in digital marketplaces.

Introducing VISER, a new approach for games with uneven information distribution.

New model enhances low-dose PET imaging for better medical diagnoses.

A new approach enhances object detection in aerial images, focusing on small clustered items.

IDiff-Face method improves synthetic data for better face recognition.

Examining the impact of pre-training deep learning on brain health assessments.

A new method enhances landmark identification in medical images for better diagnosis.

A new approach improves segmentation with minimal data.

This study presents a method for better anomaly detection using dimensionality reduction.

New dataset and model improve product recognition in live commerce.

Analyzing how step count data can expose personal information and privacy risks.

An investigation into online practices affecting children's safety on digital platforms.

AWAIRE offers a fresh approach to verify IRV election results without detailed records.

A tool that analyzes smart device privacy policies for better user awareness.

An analysis of how taboo topics are handled on collaborative platforms.

Users express privacy worries with smart device automation systems.

This study introduces a method to reduce bias in machine learning models.

Examining fairness in machine learning to reduce bias in critical sectors.

Research shows machine learning significantly improves SQL injection detection rates.

This article discusses advanced learning methods for SDN security.

An investigation into online practices affecting children's safety on digital platforms.

Exploring fairness in DLTs, particularly through the lens of DAG-based systems.

Synthetic data sharing improves health research while protecting privacy.

AWAIRE offers a fresh approach to verify IRV election results without detailed records.

A new approach to detect malware in PDF files with fewer features.

GIFD offers a fresh approach to keep data safe during machine learning.

Explore the key concepts of graph connectivity and their applications in various fields.

Learn how 3D Hilbert encoding organizes data in three dimensions for various applications.

Matchings are key in connecting elements and optimizing resources in various fields.

Learn effective methods for scheduling jobs to improve efficiency and reduce wait times.

Examining the ongoing difficulties of Hamiltonian and Longest Cycle problems in directed graphs.

Discover the significance of the Hitting Set Problem in various applications.

Explore a new method for efficient storage of sparse matrices to enhance performance.

This study introduces a new method for detecting frequent subtrees in tree data.

A new method for predicting difficulty in multi-hop question answering.

This framework helps developers find and fix bugs in machine learning models efficiently.

Understanding provenance helps ensure scientific findings are accurate and reproducible.

A model to improve data transparency in dashboards through provenance information.

A model to simplify data regulation compliance for organizations.

New system simplifies formatting rules with user examples.

OpenMP simplifies parallel programming, promoting efficiency and speed in complex computing tasks.

Research shows column-stores improve recursive query performance significantly.

This study evaluates how reproducible Jupyter notebooks are in biomedical research.

A look at how academics present co-authors on online profiles.

Introducing a structured approach to improve peer review processes in academic publishing.

Examining the relationship between handwriting changes and emotional expressions in diary entries.

A guide to enhancing knowledge acquisition from scientific papers using ORKG.

Hope shapes our lives, encouraging resilience and positive actions.

CRUISE-Screening simplifies the literature review process for researchers.

Introducing a multi-representation approach for better understanding scientific literature.

Matchings are key in connecting elements and optimizing resources in various fields.

Examining the Identity and Membership Problems in Heisenberg matrices.

An overview of counting logic and its impact on graph analysis.

This article discusses properties of directed graphs and their dicoloring methods.

Learn how agents explore unknown graphs while minimizing travel costs.

A look into minimizing transportation costs using graph theory.

Introducing a teaching language for discrete mathematics with a focus on functional programming.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

Exploring fairness in DLTs, particularly through the lens of DAG-based systems.

Using blockchain to streamline the trading of land development rights.

QMCPACK improves software practices for reliable scientific results in high-performance computing.

An overview of issues in carbon emissions and renewable energy agreements.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

Web 3.0 changes online interaction, giving users more control over their data.

A new attack shows risks to patient data safety in federated learning systems.

A new system promotes user cooperation and reduces selfish behavior in networks.

A new method enhances optical computing by improving training efficiency and performance.

A new framework, SerIOS, improves hardware security in optoelectronic systems.

Learn the basics of how quantum computing works.

Exploring the potential and challenges of optical neural networks using light for computation.

Optical computing uses light to offer faster processing and energy efficiency.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

A new method enhances qubit mapping by focusing on single-qubit gates.

New quantum methods aim to improve particle track reconstruction efficiency at the LHC.

A look into omega-regular reward machines for better AI learning.

Innovative methods for testing complex pushdown reactive systems to ensure reliability.

EduSAT simplifies learning Boolean concepts with practical tools and interactive features.

An overview of matching patterns with variables in computer science.

A look into static analysis, CFL reachability, and their implications in computing.

A new approach to computing reachability probabilities in complex systems with infinite states.

Exploring the interactions and behaviors in layered cellular automata systems.

This work introduces innovative techniques for managing complex reactive programs effectively.

A new method enhances gesture communication for avatars with unique hand shapes.

Discover how VR technology connects users to ocean exploration and education.

This article outlines a modern approach to converting 2D designs into detailed 3D representations.

A novel approach to accurately describe and adjust distortions in 3D data.

A study evaluates open-source and commercial tools for heart image rendering.

A model to improve data transparency in dashboards through provenance information.

A new model that synthesizes human motion across various tasks efficiently.

Simplifying 3D modeling with intuitive language-based controls.

This article examines how checkpoints improve software recovery during fault injection testing.

New SRAM design improves efficiency and security for modern devices.

Post-Quantum Cryptography develops new methods to protect data from quantum attacks.

Web 3.0 changes online interaction, giving users more control over their data.

Study reveals how chip orientation influences SRAM-based PUF performance.

Exploring the use of FPGAs in analyzing heart signals for improved diagnosis.

SEER automates efficient hardware design from high-level software programs.

A new framework combines reinforcement learning and optimization for better task scheduling.

Study reveals how chatbots recall conversations affects user engagement and privacy.

This study reveals how drivers handle merging situations on the road.

New visual tools aid engineers in optimizing deep learning model performance.

Learn how automation is changing data video production for everyone.

Discover how VR technology connects users to ocean exploration and education.

A new system identifies misleading designs in mobile applications to protect users.

Web automation becomes easier with a system that learns from user actions.

A framework that enhances algorithm performance comparison through visual insights.

A new method enhances user recommendations by analyzing diverse behaviors.

A new framework aims to improve recommendation accuracy for multimedia content.

A new method combines classical and modern models for better code search accuracy.

Industry and academia unite for better biomedical data processing.

A new method to improve image quality ranking in fashion e-commerce.

A new method for predicting difficulty in multi-hop question answering.

Discover how serendipity can improve user recommendations.

A framework to improve user interaction in recommendation systems.

New algorithms improve beam selection speed and accuracy in wireless networks.

New decoding techniques improve the performance of polar codes in communication systems.

Learn essential methods to protect user data while maintaining its usefulness.

A look into the relative fractional independence number and its significance in graph analysis.

New method improves channel estimation for advanced wireless tech.

A look at the Independent Fluctuating Two-Ray model for wireless communication.

Leveraging deep learning to improve error correction in telecommunications.

A new approach enhances drone swarm communication using mobile relay drones.

Exploring the potential of qudits in quantum computing and their advantages.

New methods for improving reasoning in N3 with existential rules are explored.

This paper examines the challenges of using game comonads to represent logical systems.

A look at qualitative and quantitative methods in understanding probability.

This paper examines consistency in modal logic using generic theories.

Research focuses on enhancing reasoning skills in language models using formal logic.

This article examines ultimate positivity and its significance in linear systems.

An overview of counting logic and its impact on graph analysis.

New model enhances low-dose PET imaging for better medical diagnoses.

Utilizing self-supervised learning to enhance analysis of partial differential equations.

A new approach enhances object detection in aerial images, focusing on small clustered items.

An overview of how information geometry can enhance machine learning techniques.

Research shows machine learning significantly improves SQL injection detection rates.

A new AI framework ensures safe aircraft operation in crowded urban areas.

Exploring the potential of self-supervised learning in music information retrieval.

Exploring the complexities and solutions of machine unlearning for user data privacy.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

CDL aids in studying permutations and arrangements in computer and social sciences.

A study reviewing different formulations for cutting shapes efficiently.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

GraphCC enhances congestion control through real-time optimization and machine learning techniques.

Simulations help analyze how diseases spread and improve public health responses.

A look at how influence spreads through social networks.

Research improves convergence rates for average consensus in various networks.

HAMDPO improves multi-agent learning for diverse environments and tasks.

Using large language models to enhance agent-based simulations of social interactions.

Examining how individual actions shape group behaviors in animals.

Introducing a structured approach to improve peer review processes in academic publishing.

A new method enhances gesture communication for avatars with unique hand shapes.

AVQA connects audio and visual elements in videos to answer questions.

A new method for creating realistic 3D facial animations quickly and efficiently.

New methods improve the detection of hidden messages in video files.

A method to translate skull images into realistic animal representations using text prompts.

New methods improve event detection in streaming videos using language and historical data.

A novel approach improves detection of harmful memes using targeted questioning.

Explore the emotional ties between music and images with the EMID dataset.

GraphCC enhances congestion control through real-time optimization and machine learning techniques.

A new approach to improve URLLC performance with efficient power use.

Study analyzes CrUX dataset to improve web user experience metrics.

Using language models to streamline complex network management tasks.

A look at machine learning's role in combating cyber threats.

Web 3.0 changes online interaction, giving users more control over their data.

A new method enhances UAV participation in federated learning while protecting privacy.

A new method enhances task distribution and routing in edge computing environments.

Discover the impact of Piecewise Linear Activations on deep learning models.

Researchers use deep learning to improve turbulence models in fluid dynamics.

A framework that enhances algorithm performance comparison through visual insights.

Combining DNNs and SNNs with homomorphic encryption to ensure data privacy.

FeatGeNN innovates feature generation, enhancing machine learning model performance.

Exploring the potential of Natural Evolution Strategies in variational inference models.

Introducing reversible SNN nodes for efficient training and memory use.

A new model integrates U-Net and Spiking Neural Networks for efficient image tasks.

Utilizing self-supervised learning to enhance analysis of partial differential equations.

New techniques enhance the analysis of viscoelastic beams for engineering applications.

A new method tackles checkerboard patterns in fluid dynamics simulations.

A new method enhances the analysis of relaxation data for clearer results.

A new approach uses machine learning to simplify complex solid material analysis.

Learn how modern techniques improve thin shell structure analysis and design.

Methods to improve learning models amidst data shifts in various fields.

New method improves speed and accuracy for complex diffusion equations.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

A look at new systems improving insulin delivery and blood sugar monitoring.

A look into the advancements and challenges in modern storage systems.

A clear overview of work systems, their components, and management challenges.

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.

Industry and academia unite for better biomedical data processing.

Study analyzes CrUX dataset to improve web user experience metrics.

Explore a new method for efficient storage of sparse matrices to enhance performance.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

Learn how to measure the effectiveness of digital advertising campaigns.

Research shows column-stores improve recursive query performance significantly.

A look into best practices for improving system reliability under load.

A framework to accurately measure energy use in deep learning systems.

A systematic method for creating and manipulating non-wellfounded syntax in programming languages.

Web automation becomes easier with a system that learns from user actions.

Streamline causal analysis using Tetrad combined with Python and R.

A new type system aims to prevent data races in programming.

A new tool empowers users to understand AI decisions through counterfactual explanations.

Introducing a teaching language for discrete mathematics with a focus on functional programming.

Modular design enhances the efficiency and scalability of program synthesis.

SEER automates efficient hardware design from high-level software programs.

A new modular system enhances vehicle state estimation accuracy.

A new method enhances robot movement modeling using inverse dynamics.

Learn how world models aid in finding anomalies for autonomous vehicles.

Real-time HD map tech enhances self-driving vehicle safety and efficiency.

A new environment aims to improve locating missing people at sea with drone swarms.

A new library enhances human-robot interaction by focusing on intention recognition.

A new system enables robots to navigate accurately indoors without GPS.

Radar's role in 3D object detection for automated driving is evolving rapidly.

This study examines how background affects language use in England and Wales.

New methods aim to tackle online toxicity using prompt learning techniques.

Focusing on training data selection can strengthen node classification systems.

A quick algorithm identifies fake accounts before they can cause harm.

Examining how reliable news can unintentionally support false narratives.

Introducing a method to improve node clustering in complex networks.

Simulations help analyze how diseases spread and improve public health responses.

A look at how influence spreads through social networks.

A new method combines classical and modern models for better code search accuracy.

A new framework improves deep learning model transparency for security analysis.

Exploring quantum annealers for optimizing software testing techniques.

A method focusing on validating requirements effectively during software development.

Examining how initial contributions impact the long-term success of OSS projects.

A look at license incompatibilities in PyPI and how developers can address them.

Examining how GitHub's Copilot impacts code security for developers.

A new tool enhances WeChat testing efficiency by adjusting wait times during replay.

Exploring the potential of self-supervised learning in music information retrieval.

Using audio signals to identify respiratory health risks.

A new method improves speech recognition speed and accuracy while reducing resource use.

This study enhances wildlife monitoring using audio feature embeddings for better sound classification.

Urhythmic enhances voice conversion by focusing on speech rhythm.

Research enhances percussive fingerstyle techniques for guitarists using real-time sound retrieval.

This article explores a new model for speech intent and slot identification.

As voice cloning technology advances, reliable detection methods are crucial.

This article examines conditional obligations and their significance in ethical reasoning.

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

LogicMP improves neural networks by integrating logical reasoning for better predictions.