Computer Science

A framework that improves the accuracy of soft sensors in industrial applications.

This article presents a structured approach to machine intelligence and understanding.

A new method improves activation functions in neural networks for better learning.

New methods improve prediction accuracy in ordinal regression tasks.

An overview of how communication systems form and evolve.

Research suggests a method for better estimating group sizes using diverse data sources.

A new method for summarizing meetings focuses on user-specific questions.

RACCER provides clear explanations for decision-making in reinforcement learning.

An overview of how communication systems form and evolve.

A new method for summarizing meetings focuses on user-specific questions.

A new method for linking known and unknown entities effectively.

A tool that assists designers in creating effective application menus using AI.

Learn how sentiment analysis categorizes feelings in online text data.

This article assesses GPT models' performance on programming-related MCQs.

This article reviews bias in language models and suggests a more logical learning approach.

A novel approach to enhance classification in unknown categories using synthetic samples.

A clear look at how debt swapping functions among banks.

A look at key concepts in graph theory and their implications.

Examining the complexities of finding outputs outside Boolean circuit ranges.

This article discusses reducing complex polynomials to simpler forms.

Discover methods to simplify Boolean formulas for better logical understanding.

Research on faster attention computations enhances language modeling efficiency.

Exploring the methods and applications of subset square colouring in graph theory.

Exploring how classical and quantum memory impact learning tasks and outcomes.

We enhance virtual screening speed using optimized data preparation and GPU architecture.

Shape optimization improves designs across various engineering fields through parameter-free methods.

New modeling technique improves accuracy and speed in simulating blood flow.

A new method improves vehicle communication and sensing efficiency.

A novel method to create accurate kidney vascular models for improved research.

This study examines how depreciating rewards affect decision-making in reinforcement learning.

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

GDL helps engineers efficiently tackle design problems using graph structures.

A new method to improve clarity in graph visualizations by repositioning vertices.

A new method for accurately matching complex 3D shapes quickly.

A study of symmetry in overlapping shapes reveals unique fractals and patterns.

An overview of Voronoi-like graphs and their practical uses.

A team works on covering complex polygons efficiently using convex shapes.

A novel method for analyzing shapes with consistency through graph neural networks.

Exploring the unique shapes and efficient pathfinding methods within portalgons.

Research advances methods for determining volumes of combined boxes in geometry.

A clear look at how debt swapping functions among banks.

A look into partial-information Q-learning in decision-making games.

This article examines cooperation and its impact on player dynamics in games.

A new method protects player privacy while sharing information in network games.

A system for fair decision-making in funding public goods.

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

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

A study on agents learning to cooperate in uncertain environments.

Learn how data augmentation improves medical imaging analysis and training.

FastSurf improves 3D image creation from videos, making it faster and more accurate.

A new framework enhances accuracy in finding people through text descriptions.

A novel method for estimating depth in dynamic scenes using single images.

A new method enhances dataset reduction for better performance in machine learning.

HyT-NAS creates optimized neural networks for edge devices, improving visual task performance.

A framework for unlearning specific features in generative models while maintaining image quality.

A method improving image segmentation with user inputs for better efficiency.

Examining the complexities of algorithmic bias and neutrality in our digital world.

Examining the utility and privacy issues of location tracking devices.

This article reviews bias in language models and suggests a more logical learning approach.

An overview of how personalisation can improve language models while addressing potential drawbacks.

An analysis of the reliability of Wikipedia references over time.

A bank's approach to detecting and addressing abuse through financial transactions.

A new method reveals influential entities quickly in changing markets.

A fresh look at community growth measurement for informed decisions.

New techniques improve detection of fake voices in voice recognition systems.

An analysis of the growing trend of multi-block MEV extraction on Ethereum.

Watermarked images in datasets hinder model accuracy and performance.

New framework improves attack efficiency on graph neural networks by targeting vulnerabilities.

SFU allows data removal while protecting privacy in machine learning.

A new approach enhances the effectiveness of adversarial examples in AI systems.

Explore how blockchain technology improves data sharing while ensuring privacy and security.

A new method leverages causality to guard against backdoor threats in deep learning models.

A clear look at how debt swapping functions among banks.

Introducing an efficient method for analyzing large data streams with reduced memory use.

Two new methods aimed at improving the compression of IoT-generated time-series data.

Explore effective strategies to achieve high scores in the game 2048.

Learn how direct access techniques enhance querying and aggregation in large databases.

Assessing the real-world performance of X-opt and 2-opt methods for TSP.

Examining the complexities of finding outputs outside Boolean circuit ranges.

This study addresses scheduling challenges with any-order interval selection and revocation of decisions.

Learn how direct access techniques enhance querying and aggregation in large databases.

This method simplifies outlier detection for clearer decision-making.

Explore the importance of validating data in machine learning pipelines.

This article discusses how ChatGPT can manage databases using simple language rules.

Discover a new approach to data integration using the Deep Tabular Transformer framework.

A method to improve data accuracy in knowledge bases by merging records and answering queries.

A new method for real-time analytics in rapidly changing data environments.

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

A method to retrieve visuals from scanned scientific literature.

An analysis of the reliability of Wikipedia references over time.

This article examines how knowledge moves through scientific communities over time.

FAIR principles improve data sharing in research, boosting collaboration and trust.

This study examines global patterns in scientific collaborations among continents.

A new method aims to clarify authorship in academic papers.

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

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

Research uncovers how information flows through complex networks using random matrices.

A look at key concepts in graph theory and their implications.

Explore how domatic numbers optimize networks through effective scheduling.

Assessing the real-world performance of X-opt and 2-opt methods for TSP.

New findings in Condorcet domains enhance understanding of voting systems.

Discover the significance and applications of Vizing's conjecture in edge-coloring.

Learn how inverse optimization helps modify costs effectively.

Learn how inverse optimization adapts existing solutions to changing cost conditions.

A new method to train models securely while preserving data privacy.

An analysis of the growing trend of multi-block MEV extraction on Ethereum.

We enhance virtual screening speed using optimized data preparation and GPU architecture.

A new framework enhances energy sharing among IoT devices.

A new approach to health data analysis focusing on privacy and accuracy.

A straightforward overview of preparing your scientific paper for publication.

A look at Julia and Python/Numba's performance compared to traditional languages.

This method allows devices to collaborate on models while keeping data private.

New methods improve solutions for complex optimization problems using quantum technology.

Quantum networking connects devices using qubits, offering potential for advanced communication.

An overview of quantum computing advancements and the Q-Map technique.

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

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

Discover how Ising machines improve generative model training.

BrainScaleS mimics brain activity to enhance research on neural behaviors.

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

A tool providing instant feedback on automata submissions for computer science students.

A new approach to visualize and analyze complex business processes.

Learn how DyVeRG tracks evolving connections in various fields.

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

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

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

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

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

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

A new method estimates object's physical characteristics using video without prior shape knowledge.

A new method for accurately matching complex 3D shapes quickly.

Exploring the hardware requirements for next-gen neural graphics applications.

A new method enhances light simulation efficiency in computer graphics.

Developing methods for machines to manipulate objects like humans.

This study presents LayoutDM, a model that enhances layout generation for web and app design.

A new method enhances image quality and consistency in 3D generation.

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

We enhance virtual screening speed using optimized data preparation and GPU architecture.

Exploring the hardware requirements for next-gen neural graphics applications.

A new system optimizes memory sharing in data centers for better efficiency.

Hybrid accelerator improves speed and efficiency for Transformer models.

DRAM technology faces challenges while researchers seek improvements in performance and reliability.

Gamora enhances the analysis of electronic circuits using advanced technology.

A new approach combines models and active learning for efficient hardware designs.

Focus on improving server efficiency for cloud services.

A tool that assists designers in creating effective application menus using AI.

Guidelines for creating effective AR interfaces in human-robot collaboration.

Study reveals effective filters for better eye-tracking accuracy.

This paper highlights the need for better tools in ocean imagery analysis.

Exploring how SARs can build trust through effective communication.

A study on GNSS and UWB systems to track human movement patterns.

Learn how to create visualizations that clarify complex data.

This article discusses efforts to improve math accessibility for visually impaired learners.

Research suggests a method for better estimating group sizes using diverse data sources.

A new method for linking known and unknown entities effectively.

Examining the complexities of algorithmic bias and neutrality in our digital world.

Using product reviews to understand personality enhances online recommendations.

A new method for suggesting complementary items in e-commerce.

A new dataset improves the way we recommend mobile apps to users.

A new method to prioritize user reviews enhances app development efficiency.

A framework using large language models to enhance conversational search effectiveness.

Exploring the security challenges and advancements in visible light communication systems.

Study reveals RIS's role in securing wireless communications amid interference.

A new method enhances the analysis of time-series data using entropy-derived features.

A new method enhances federated learning efficiency while ensuring privacy.

Study reveals effective THz communication strategies for industrial environments.

New techniques in hybrid beamforming enhance wireless data transmission efficiency.

Using sparse neural networks enhances prediction and stability in aluminum electrolysis models.

Research shows IRS can improve signal quality for multiple operators.

Discover the significance and applications of elliptic curves in various fields.

A look at key concepts in graph theory and their implications.

Learn how Verus helps ensure correctness in Rust programming.

An overview of clone algebras and their significance in mathematical operations.

Learn how direct access techniques enhance querying and aggregation in large databases.

Creating a versatile framework for seamless data type operations.

Using LTL and new methods to improve reinforcement learning in complex environments.

This article discusses efforts to improve math accessibility for visually impaired learners.

A new method improves activation functions in neural networks for better learning.

Introducing an efficient method for analyzing large data streams with reduced memory use.

New methods improve prediction accuracy in ordinal regression tasks.

This work focuses on improving machine learning models by incorporating conservation laws.

RACCER provides clear explanations for decision-making in reinforcement learning.

Innovative techniques reduce model size while maintaining performance in speaker verification.

A new method enhances dataset reduction for better performance in machine learning.

HyT-NAS creates optimized neural networks for edge devices, improving visual task performance.

A new framework for optimizing sparse tensor operations and automatic differentiation.

This method improves parameter estimation in mathematical models without initial guesses.

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

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

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

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

A new library enhances complex calculations in PIM architectures.

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

An overview of how communication systems form and evolve.

Robots learn to safely navigate environments shared with humans using advanced simulations.

A new method boosts efficiency in multi-robot search and rescue operations.

New insights show cooperation can occur without common belief.

Learn how new communication methods enhance vehicle safety and efficiency.

A new method improves agent cooperation in fully-cooperative games.

A new method enhances cooperation among agents in complex environments.

Trust shapes our relationships and interactions in personal and professional contexts.

MuLTI combines video and text efficiently for better real-world applications.

A new method improves speaker recognition by combining time and frequency features.

A new dataset for studying volumetric video in real-life scenarios.

A novel dataset bridges the gap in biomedical AI research.

This article explores the latest methods for audio representation and their implications.

A new model enhances tagging accuracy using social interactions and tag relationships.

Exploring copyright issues related to AI-generated images and protection methods.

Learn how images can be concealed within audio using advanced techniques.

A new framework integrates network functions for better performance and resource use.

A new algorithm improves task deployment in flexible communication networks.

A new framework enhances energy sharing among IoT devices.

A new system enhances AI performance in DareFightingICE using gRPC technology.

A new method combines MESH-PON with a two-tier approach to lower communication latency.

A new algorithm to reduce endorsement delays in Hyperledger Fabric blockchains.

Exploring the role of C-V2X in enhancing vehicle communication.

This article discusses strategies to save energy while minimizing data delays in WSNs.

A new method improves activation functions in neural networks for better learning.

A new framework improves agent diversity and performance in solving complex tasks.

A look into the latest innovations in gaze detection and optimization methods.

A new method enhances feature selection using sparse neural networks and dynamic neuron evolution.

Combining QD and Deep RL to improve diverse solutions in AI.

Quadratic neurons offer a new approach to enhance artificial neural networks.

Discover how word embeddings transform language processing tasks.

A new approach to assess self-adaptive systems under challenging conditions.

A study on improving models for chemical reactions using detailed and simpler approaches.

This work focuses on improving machine learning models by incorporating conservation laws.

New research shows Brownian motion may outperform Levy flight in specific scenarios.

New methods improve solutions for nonlinear algebraic Riccati equations and palindromic matrix pencils.

A detailed study on eddy currents and their implications in electrical engineering.

This article examines real similarity in matrices, focusing on Hurwitz and diagonal dominant types.

A fresh approach simplifies solutions to ordinary differential equations in science and engineering.

Introducing the Shape Hunting Algorithm for jet structure analysis.

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

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

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

A new framework for easier FPGA use in virtual environments.

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

New method improves resource allocation for users with changing needs.

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

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

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

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

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

Transforming building design to save energy and promote sustainability.

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

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

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

Reassessing how we classify and understand sequential circuits.

MD-Bench optimizes molecular dynamics simulations for improved performance and analysis.

Examining the utility and privacy issues of location tracking devices.

A new system enhances AI performance in DareFightingICE using gRPC technology.

Explore how edge service hosting improves user experience and reduces costs.

Learn how quantization improves model efficiency for smaller devices.

AwkwardForth enhances Uproot for faster ROOT file processing.

Innovative algorithms improve resource scheduling without precise network state knowledge.

Learn how range regularization enhances AI model compression and quantization.

A new method for efficiently generating complex programs.

Learn how Verus helps ensure correctness in Rust programming.

Creating a versatile framework for seamless data type operations.

A look at Julia and Python/Numba's performance compared to traditional languages.

A look at testing methods for reliable distributed systems.

NeuroQL integrates objective data and subjective opinions for better information access.

A new framework for optimizing sparse tensor operations and automatic differentiation.

A look into program equivalence, bisimulation, and their significance in computer science.

Engineers use models to enhance the reliability of autonomous robots.

A novel method enhances robots' efficiency in complex task planning for inspections.

New method streamlines time-optimal control for dynamic systems.

Streamlined method for creating effective indoor VPR databases using RGBD images.

A new method enhances learning in AI agents through auxiliary tasks.

Robots learn to safely navigate environments shared with humans using advanced simulations.

A dataset designed to improve navigation in narrow waterways for autonomous vehicles.

Guidelines for creating effective AR interfaces in human-robot collaboration.

A fresh look at community growth measurement for informed decisions.

Researchers analyze how DNA is organized in 3D to understand gene expression.

This article examines how knowledge moves through scientific communities over time.

PyPoll simplifies Twitter data analysis for researchers studying public discussions.

A new model aims to help users combat false claims online.

This article discusses achieving fairness in graph filtering while keeping effectiveness.

Analyzing how white supremacist messages transition from online to offline environments.

A competition showcases innovative methods for predicting city traffic using diverse data sources.

A new method for efficiently generating complex programs.

A new program aids software developers with disabilities in Brazil.

Research shows quantization can improve resource use and keep code generation models effective.

This method streamlines handling conflicts in software goals during development.

A new approach enhances hyperparameter tuning using event-driven monitoring and historical data.

A new method improves code generation for complex programming styles.

Understanding the key factors that enhance resilience in hybrid software teams.

A method to predict software vulnerabilities by transferring knowledge between programming languages.

New techniques improve detection of fake voices in voice recognition systems.

Innovative techniques reduce model size while maintaining performance in speaker verification.

New insights into identifying emotions in speech using sound and word data.

A study on capturing emotions in music through pianist performances.

Improvements in TTS technology enhance personalization and speech quality.

New models improve efficiency for mobile voice assistants.

ProVE enhances procedural audio generation, improving sound quality and user control.