Computer Science

New techniques make constraint acquisition more user-friendly and efficient.

Robots enhance skills for searching and manipulating objects in complex environments.

New techniques enhance image anomaly detection and model understanding.

A new method enhances link prediction in networks with unseen relationships.

A novel method estimates system parameters through image analysis and deep learning.

A look into how AI-generated images challenge traditional views of art.

Learn how transformers improve decision-making in reinforcement learning.

A fresh way to train robots using human action videos.

A new framework enhances analysis and generation of Arabic poetry.

This study focuses on advancing signing avatars for better understanding in sign language.

New methods improve language model efficiency without sacrificing performance.

This research offers a way to create natural dialogues while respecting privacy.

This study presents methods for detecting fake news in the Bengali language.

AI tools are transforming how we create and manage Knowledge Graphs.

Assessing how language models generate accurate information using the FACTOR method.

Exploring the vulnerabilities of language models to prompt extraction attacks.

Analyzing the complexities of disease transmission in social networks through graphs.

Study reveals how noise affects random quantum circuits and their output distributions.

Learn how to manage changes in planar graphs effectively.

This article examines how universality connects various systems across disciplines.

A closer look at graph coloring without specific patterns.

Discover the nuances of modal logic and its applications.

Examining the complexities of defensive alliances in different types of graphs.

A deep dive into the challenges of computational problem-solving.

A new cloud service enhances medical image processing while protecting patient privacy.

Discover how Proof of Training combines AI and crypto mining for better performance.

Microgrids provide backup power and ensure stability through smart bidding and coordination.

A look into the dynamics of specialty insurance and its key participants.

Examining the balance between data sharing and patient privacy in biomedical research.

Discover how data is transforming the design of metamaterials for various applications.

PINNsFormer enhances accuracy in solving partial differential equations using advanced Transformer structures.

A study on deep learning algorithms for optimizing investment portfolios.

A new framework enhances data analysis by addressing multiparameter challenges.

New methods for faster solutions to TSP and MST problems.

Examining the role of flip-width in the complexity of geometric graphs.

A new approach to create quality meshes using grid-based techniques.

Exploring how to cover geometric graphs with star-forests efficiently.

This article explores how to estimate set sizes using point samples and polynomial volume functions.

A new algorithm for grouping similar movement paths in large datasets.

Effective algorithms for optimal facility placement in continuous client distributions.

A look at how to ensure fair representation in elections.

Study reveals dynamics of player interactions and equilibrium in competitive environments.

A new approach to secure billing in peer-to-peer energy trading.

A guide to effective decision-making through expert advice aggregation.

This article explores the link between feature attributions and counterfactual explanations in AI.

Joint commitments and reputation are key to social cooperation.

This article examines the trade-off between fairness and overall satisfaction in resource division.

Learn how to handle risk effectively in uncertain decision-making scenarios.

A new method improves tissue imaging by estimating sound speed using deep learning.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Innovative infrastructure improves safety at busy urban junctions.

IMPTC dataset captures vital data for safe automated vehicle navigation.

New techniques enhance image anomaly detection and model understanding.

New method reduces user input in model feedback for improved performance.

Learn how transformers improve decision-making in reinforcement learning.

GVCCI enables robots to learn from their environment for improved task performance.

Exploring shared responsibilities and improving security for freelance developers.

A look into how AI-generated images challenge traditional views of art.

Learn how cobots can improve workplace safety and reduce MSD risks.

This article analyzes the tankie community and their influence on social media.

Explore how blockchain and computer vision can transform various industries.

E-bike usage is accelerating, impacting health and the environment.

CAMP offers a detailed view of player contributions in cricket.

Exploring the potential and obstacles facing Web3 and blockchain advancements.

Exploring shared responsibilities and improving security for freelance developers.

Examining how users perceive privacy risks in sharing sensitive information.

Exploring how public data can improve privacy-preserving machine learning models.

SecureFalcon effectively identifies software vulnerabilities with high accuracy and speed.

A new approach to secure billing in peer-to-peer energy trading.

Research reveals harmful responses can emerge from safe questions during chatbot interactions.

Discover how Proof of Training combines AI and crypto mining for better performance.

False alarms greatly affect analysts' performance in identifying real cyber threats.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

This article examines efficient quantum algorithms that improve performance and robustness.

A method to enhance the reliability of streaming algorithms against data corruption.

A deep dive into efficient packing strategies and their applications in logistics.

A new parallel algorithm improves correlation clustering efficiency and accuracy.

Explore zip trees and their enhancements for efficient data management.

Learn how differentially private clustering protects individual data while analyzing trends.

A look at average distortion in voting rules and its impact.

Exploring deep learning's role in visualizing changes over time.

IMPTC dataset captures vital data for safe automated vehicle navigation.

AI tools are transforming how we create and manage Knowledge Graphs.

cjdb offers a straightforward way to store 3D city models in PostgreSQL.

Learn how PG-Triggers can streamline data management in graph databases.

A framework combining results reuse and workload sharing boosts data analysis speed.

LearnedSort uses machine learning to enhance sorting speed and efficiency.

A new method improves how large language models are updated and used.

A system to categorize historical articles using roles and aspects.

This study enhances patent image classification using advanced deep learning techniques.

This article examines teamwork between schools and businesses in NLP.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A tool for maintaining confidentiality and integrity in research data management.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

Exploring the characteristics and significance of -dicritical digraphs in graph theory.

This research examines optimal mixing time for independent sets using Glauber dynamics.

Strategies to quickly inform communities through network connections.

A look at visualizing graphs on complex surfaces, focusing on the Klein bottle.

Investigating how dimensions affect efficiency in online chasing tasks.

Learn about Markov chains and their vital role in various fields.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

SAGE improves Kubernetes application deployment efficiency and reliability in cloud environments.

Discover how federated learning enhances privacy while improving machine learning efficiency.

A new cloud service enhances medical image processing while protecting patient privacy.

A new approach to improve Federated Learning efficiency and model performance.

A novel approach improves data storage and performance in high-performance computing.

Discover how Proof of Training combines AI and crypto mining for better performance.

A new parallel algorithm improves correlation clustering efficiency and accuracy.

Improving efficiency in decentralized learning for smart devices.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A new MIV-transistor design enhances performance in 3D integrated circuits.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

Examining how word pairs can transform through conjugacy in rational relations.

Learn how backreferences enhance regular expressions for complex text patterns.

An overview of finite languages, DFA, and their analysis.

A study of time-sensitive interactions in negotiations among agents.

A look at handling message loss with priority considerations in computing.

Contextual metrics improve comparisons of process behaviors in varying situations.

An overview of automata, their types, and languages they recognize.

New models enhance decision-making with flexible discount factors.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Developing systems for machines to create realistic, context-aware gestures.

HyperDreamBooth creates unique images from a single photo quickly and effectively.

New methods enhance personal image creation using simple prompts.

NEAT revolutionizes 3D modeling by utilizing neural networks for enhanced wireframe accuracy.

A study evaluates how well different visualizations reveal data changes.

Discover how 3D knots create art that shifts with perspective.

A new method enhances facial animations by modifying existing styles.

CIM technology enhances MCMC sampling speed and energy efficiency for complex data analysis.

A simple model improves prefetcher selection, boosting performance up to 25%.

The eGPU enhances soft processing capabilities within FPGAs for diverse applications.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Safety islands enhance HPC devices for critical applications like self-driving cars.

MARS framework optimizes deep neural networks on multi-accelerator systems.

Neuromorphic computing offers new ways to process data inspired by the human brain.

Study reveals public attitudes toward COVID-19 apps shifted over time.

Exploring how AI tools influence creativity and narrative construction.

Examining how emotional prompts affect large language models' performance.

Developing systems for machines to create realistic, context-aware gestures.

This article explores the link between feature attributions and counterfactual explanations in AI.

Exploring the potential and obstacles facing Web3 and blockchain advancements.

This article discusses the issues and strategies for implementing Responsible AI values.

This study reveals how teachers in low-income schools seek support post-pandemic.

A new method improves how event sequences are analyzed and retrieved.

A new method enhances negative sampling in recommendations for better user experience.

A new method improves predictions from clinical notes using language models.

A new model enhances news recommendations by blending individual and collective user insights.

Improving LLMs by retrieving better examples for in-context learning.

Researchers develop methods to improve drug selection for individual cancer patients.

Research aims to combine audio and symbolic data for music similarity analysis.

Learn how query reformulation improves conversational search systems.

Full-duplex systems merge communication and sensing for improved wireless performance.

New DSP methods enhance optical networks while reducing costs and complexity.

A look at how the SOS technique simplifies complex optimization tasks.

Examining the role of information projections in hypothesis testing.

A look at phase retrieval's role in various scientific fields.

This study examines how irreversibility impacts cryptocurrency market efficiency.

Learn how to enhance mean estimates using Fisher Information and innovative techniques.

An overview of MDS and NMDS matrices and their role in data security.

Exploring new proof systems using automata for modal mu-calculus.

Learn how retroactive dynamic monitoring enhances network security and performance.

A study of time-sensitive interactions in negotiations among agents.

Learn how to handle risk effectively in uncertain decision-making scenarios.

A method to ensure graph transformations stop correctly using weighted type graphs.

RES extends Boolean systems, enhancing analysis of real number relationships.

A new algorithm enhances efficiency in solving mean payoff games.

This framework simplifies type theory definition and improves type checking in programming languages.

A machine learning method identifies and suppresses unknown disturbances in dynamic systems.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Discover how federated learning enhances privacy while improving machine learning efficiency.

New machine learning methods enhance traffic model accuracy and efficiency.

Research explores sound analysis to improve mosquito sorting for disease control.

Exploring deep learning's role in visualizing changes over time.

A new metric improves model prediction accuracy and clarity.

Robots enhance skills for searching and manipulating objects in complex environments.

MindOpt Tuner optimizes numerical software performance by automating hyperparameter adjustments.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

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

A look at how to ensure fair representation in elections.

A guide to effective decision-making through expert advice aggregation.

Joint commitments and reputation are key to social cooperation.

This study explores how cooperation emerges in repeated games through active inference.

A new method enhances efficiency in robot motion planning and collision detection.

Discover how IMP-MARL improves infrastructure management through collaborative learning.

Examining how information sharing affects decision-making in multi-agent systems.

Meta-Value Learning enhances cooperation among agents in competitive and collaborative environments.

A method for creating artistic line drawings from photographs with user control.

New dataset enhances video-text tasks for Indonesian speakers.

Research aims to combine audio and symbolic data for music similarity analysis.

New methods improve watermark removal while preserving image quality.

A new method enhances hate speech detection by combining text, images, and discussion context.

AI predictions improve service for extended reality users on advanced networks.

A new model enhances speech extraction using audio and visual information.

RetouchingFFHQ dataset enhances face retouching detection methods.

The next generation of networks focuses on customizable solutions for diverse applications.

A study on how public DNS resolvers handle performance and reliability.

Exploring a new architecture for 6G mobile networks to improve user signaling and data management.

Exploring network slicing and energy efficiency in next-generation telecom networks.

TARA enhances communication rates for UAV-based wireless networks during critical situations.

A study on improving IPv6 research through categorized hitlists and target generation algorithms.

A novel system for managing transactions in leaderless distributed ledgers without high fees.

Explore how Reverse Path Congestion Marking enhances data traffic management in networks.

Exploring the potential of spiking neural networks in real-time processing.

Joint commitments and reputation are key to social cooperation.

Exploring the brain's ability to interpret sensory information and predict outcomes.

This article examines how setup and training affect neural network performance.

A new method for growing artificial neural networks inspired by biology.

New methods improve ensemble performance in automated machine learning.

Explore how virtual plants adapt and evolve in simulated environments.

Neuromorphic computing enhances data filtering in high-energy physics experiments.

This research uses deep learning to find weak solutions to the Navier-Stokes equations.

Exploring the significance and applications of spherical curves in various fields.

The hybrid method improves gas flow simulations through effective computation techniques.

Exploring few-shot learning techniques to enhance medical imaging diagnostics.

A study on an improved blockchain consensus protocol allowing node repairs.

Improving weather forecasts through innovative data assimilation techniques.

Research reveals connections in the brain change before and during seizures.

FB-RK(3,2) enhances accuracy and efficiency in shallow water simulations.

Discover how ZNS devices simplify SSD data management and improve efficiency.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

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 new framework helps scientists communicate and design better experiments.

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.

A study on an improved blockchain consensus protocol allowing node repairs.

New algorithms improve decision-making by addressing advice reliability in uncertain environments.

Examining the true capabilities and limits of quantum computers today.

Analyzing data transmission issues in modern cellular networks and possible improvements.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Learn essential functional design patterns for efficient software development.

A look at improving traffic data management through Application-Specific Natural Language.

Learn how constrained type systems improve data interaction in programming languages.

Contextual metrics improve comparisons of process behaviors in varying situations.

A new method to help beginners find useful programming examples easily.

Learn how extensible data types enhance flexibility and safety in programming.

Introducing a system to better manage and process complex data streams.

Introducing efficient techniques for evaluating uncertain outcomes in programming.

A look at AEKF and MEKF for satellite orientation.

New modeling techniques improve the performance of adaptable soft robots.

Innovative safety measures for automated driving systems improve urban delivery logistics.

Robots enhance skills for searching and manipulating objects in complex environments.

GVCCI enables robots to learn from their environment for improved task performance.

A fresh way to train robots using human action videos.

DeepIPCv2 improves navigation using LiDAR, especially in low-light conditions.

Learn how cobots can improve workplace safety and reduce MSD risks.

Examining the role of asymmetry in human connections.

New metrics enhance the evaluation of patient data graphs for better health predictions.

This article analyzes the tankie community and their influence on social media.

Explore how differential privacy safeguards individual data during collective analysis.

Examining how ChatGPT affects public information creation and sharing.

This research introduces a method for detecting communities while ensuring data privacy.

Discover how hypergraphs enhance our analysis of complex relationships in various fields.

This article explores how moving between firms boosts inventor productivity and innovation.

Innovative safety measures for automated driving systems improve urban delivery logistics.

This study identifies key characteristics of datasets in Software Engineering SLRs.

A study examines how developers manage discussions and issues in open-source software.

This report analyzes how emoji reactions affect GitHub code reviews.

A look at improving traffic data management through Application-Specific Natural Language.

Crucible simplifies software modeling and testing through a graphical interface.

A method to improve safety in software development for critical systems.

Evaluating quality of requirements generated by ChatGPT versus human experts.

Research explores sound analysis to improve mosquito sorting for disease control.

Explore two innovative methods for altering vocal timbre using Digital Signal Processing.

A new method enhances speech recognition technology without losing previously learned knowledge.

A new model improves music transcription accuracy for multiple instruments.

A new method combines traditional and deep learning for efficient sound imaging.

New methods improve realism in audio technologies using physics-informed techniques.

Investigating how voice technology can prevent duplicate patient participation in trials.

A new dataset helps identify signs of depression and anxiety through speech analysis.

This article discusses enhancing machine learning models using polynomial data balancing and augmentation.

Learn about creative telescoping for calculating definite sums efficiently.

This article discusses the finite expression method for solving complex state transitions.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

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

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

A machine learning method identifies and suppresses unknown disturbances in dynamic systems.

A novel method estimates system parameters through image analysis and deep learning.

This study simulates CubeSat behavior to improve control methods in space.

Addressing cybersecurity challenges in connected transportation technology.

This article examines strategies for optimal decisions in constrained environments.

NCR technology improves signal quality and user experience in challenging environments.

Explore how differential privacy safeguards individual data during collective analysis.

A new framework enhances safety and efficiency in urban air transport.