Computer Science

A new method combines AI models to improve decision-making under uncertainty.

A new tool helps protect user data when interacting with language models.

This research showcases how AI improves job scheduling efficiency.

New methods improve scene representation using multi-spectral data.

A new approach to reinforce learning efficiency using heavy-ball momentum in actor-critic methods.

ELM demonstrates the efficacy of smaller, context-specific language models in education.

This study automates diagnosis extraction from unstructured echocardiogram reports to enhance patient care.

Introducing BMFT: a method to enhance fairness in machine learning without original training data.

ELM demonstrates the efficacy of smaller, context-specific language models in education.

This study automates diagnosis extraction from unstructured echocardiogram reports to enhance patient care.

Study reveals nationality impacts LLM responses to human profiles.

Research focuses on enhancing reliability in large language models using uncertainty quantification.

New methods enhance knowledge graph completion using frozen language models.

A new model enhances link prediction in knowledge graphs using textual descriptions.

Sumotosima simplifies ear health information for better patient understanding.

Research into Latin treebanks and morphological tagging enhances understanding of ancient texts.

A new method for resource estimation in quantum computing circuits.

A deep dive into quantum algorithms and their role in solving complex problems.

New polynomial methods simplify tree isomorphism verification.

Examining how adding players affects decision-making dynamics in voting scenarios.

New algorithms improve efficiency and accuracy in counting problems.

A look into conditional independence and its role in statistical modeling.

Using quantum annealing to group LEO satellites for better communication.

This research explores solutions to polynomial equations and their implications in mathematics.

A new GNN method offers faster evaluation of traffic policies for cities.

The HOPU method enhances predictions in turbulent flow through advanced computational techniques.

This study examines links between CVD and depression through biological factors.

A look at Lamb Waves and their role in structural health monitoring.

A project aims to improve fire department response time through data modeling.

A new neural network model improves predictions for turbulent combustion scenarios.

Engineers enhance design optimization using surrogate models and Thompson Sampling.

New activation functions improve neural networks for solving complex equations.

A guide to the smallest enclosing circle on a sphere with practical applications.

A method to simplify 3D models of indoor spaces using point cloud data.

DC3DO offers a new way to classify 3D objects with better accuracy.

New method improves analysis of complex data using Jacobi sets.

This article discusses critical geometric challenges in robotics and automation.

CPE-MFA offers a new method for efficient critical point extraction in large datasets.

A new approach using Cayley coordinates enhances volume calculations in molecular science.

A look into optimizing routes for watchmen to ensure complete area coverage.

Examining challenges of friendship manipulation in group settings and its impact on coalitions.

A study on adapting strategies in games with limited information.

A structured approach to allocate refugee families to suitable resettlement locations.

New learning algorithms improve agent interactions in shared environments.

Examining perpetual voting and how to ensure fair representation in decisions.

Introducing a method for efficient multi-pollutant permit auctions.

Discover how reward machines enhance player engagement and outcomes in game design.

Examining how adding players affects decision-making dynamics in voting scenarios.

Discover the latest developments in text-to-image models and their impact.

New methods improve scene representation using multi-spectral data.

New model significantly improves accuracy in cervical cancer image classification.

A new model enhances 3D perception by combining depth and semantic information.

This article presents a contactless method using an event camera for accurate measurements.

A fresh approach to accurately reconstruct glossy objects in 3D.

Combining camera and LiDAR data enhances the detection capabilities of autonomous vehicles.

Exploring privacy risks in masked image modeling and their implications.

Understanding algorithms' role in ethical AI decision-making.

Personhood credentials aim to enhance online trust while protecting user privacy.

This article discusses how Federated Learning can aid homelessness support agencies.

Using technology to enhance healthcare access in low-income regions.

This study analyzes personality traits of a language model across nine languages.

Exploring AI's potential to enhance transparency in jury selection and eviction processes.

New sampling methods aim to enhance accuracy and fairness in data collection processes.

Research introduces models for better predicting Alzheimer's disease development.

A new tool helps protect user data when interacting with language models.

Exploring the digital euro's design for secure and private offline payments.

Analyzing safety and security interactions through innovative attack-fault trees.

New methods enhance data privacy while preserving analysis accuracy.

CSI 2Q improves device identification using accessible WiFi data.

Exploring privacy risks in masked image modeling and their implications.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

SAGE-RT creates synthetic data to improve language model safety assessments.

New methods enhance data privacy while preserving analysis accuracy.

Learn how Thompson Sampling protects privacy while making informed choices.

Learn how to quickly estimate residual error for matrices and vectors.

Explore the significance and complexity of orthogonality dimension in graph theory.

Examining the Potential Hessian Ascent algorithm in spin glass systems.

A new algorithm improves the search for multiple shortest paths in directed graphs.

A method for estimating means despite the impact of outliers.

A groundbreaking quantum algorithm improves the search for attractors in gene regulatory networks.

Introducing ASPen, a system to improve data quality through advanced entity resolution techniques.

A new approach combines AI agents and LLMs for improved process analysis.

This article examines testing methods for ensuring accuracy in graph databases.

A new method for handling data inconsistencies in knowledge bases.

Learn how to format your scientific papers for clear presentation.

Exploring how blockchain technology can safeguard personal data privacy effectively.

A guide to aligning business practices with the EU Taxonomy for sustainability.

EHL* optimizes memory use while quickly finding shortest paths in complex environments.

This study focuses on labeling musical symbols in the Ricordi Archive manuscripts.

NeuroPapyri helps researchers analyze ancient Greek papyri using modern technology.

AI and experts work together to improve dating accuracy of Greek papyri.

Analyzing the rise of Gold Open Access and its effects on research quality.

A new online space for students to access educational resources easily.

A new system organizes mathematical models and algorithms for better research sharing.

A study of collaboration in Data Mining and Software Engineering.

Tabulapdf simplifies data extraction from PDF tables for users in various fields.

Exploring the unique properties of random spanning trees in graph theory.

New formulations improve decision tree accuracy and efficiency using mixed integer linear optimization.

This study evaluates changes in network connections and their impact on optimal paths.

Explore the dynamics of a strategic game played on graphs with unique rules.

Using quantum annealing to group LEO satellites for better communication.

Discovering methods to optimize binary matroids through effective algorithm design.

Study of connections in networks through random geometric graphs.

An overview of digraphs, their cycles, and the concept of period.

Exploring the digital euro's design for secure and private offline payments.

New methods help satellites share data and improve processing capabilities.

A method for simulating fluid flow in complex environments.

Streamline your CNN deployment using FPGA technology for better performance.

Enhancing data processing speeds in high-performance Particle-in-Cell simulations.

A look into efficient management of large language models at scale.

Exploring new methods for ensuring trust in network communication.

A new framework improves model accuracy by tackling data imbalance while ensuring privacy.

This article explores the TR-MAC protocol for improved wireless communication in multi-core processors.

Biocomputing uses biological materials for efficient and energy-saving computation.

New hybrid mapping method improves speed and accuracy for robots.

WINO offers faster and more efficient predictions for electric fields across varied wavelengths.

A new framework mimicking biological learning using chemical reactions.

Exploring effective ways to address the rise of fake news.

Machine learning streamlines solver selection for quantum optimization.

Y-Flash cells and Tsetlin Machine enhance machine learning efficiency.

Learn how to assess complexity in process models for better clarity and usability.

Explore how reconfigurable communication channels improve device interactions.

Discover how Cyber-Physical Systems improve efficiency across various industries.

Learn how configuration monitoring reveals system settings through behavior analysis.

A new method improves process models by incorporating expert rules.

Streamlined systems for improved interactions between humans and machines.

This article explores how attractors influence system behavior over time.

Discover how stochastic L-systems simulate realistic plant growth patterns.

New methods improve scene representation using multi-spectral data.

This method simplifies 3D shape unfolding into flat patterns for easier fabrication.

A fresh approach to accurately reconstruct glossy objects in 3D.

Students showcase their data art at a public exhibition, merging creativity with technical skills.

Methods to visualize uncertainties in degenerate tensor analysis for various fields.

New method improves analysis of complex data using Jacobi sets.

A unified approach to enhance vector graphics through combined techniques.

Improving methods for clearer analysis of 3D volumetric data.

Exploring the potential of quantum carry-lookahead modulo adders in computing.

A novel approach to enhance the design of multipliers and multiply-accumulators.

Streamline your CNN deployment using FPGA technology for better performance.

HiFuse enhances the speed and efficiency of heterogeneous graph neural networks.

Learn how dynamic techniques improve hardware performance and adaptability.

Y-Flash cells and Tsetlin Machine enhance machine learning efficiency.

A new method for improving timing in embedded systems using comprehensive design strategies.

Exploring the integration of LLMs in High-Level Synthesis for effective hardware creation.

A new method combines AI models to improve decision-making under uncertainty.

This study explores design choices of large language models in visualizations.

A study on how LLMs differ from humans in understanding bar charts.

WorldScribe offers real-time visual descriptions for visually impaired individuals to enhance their surroundings.

A study on safeguarding onion service users from phishing threats while ensuring privacy.

Students showcase their data art at a public exhibition, merging creativity with technical skills.

Learn about image scaling attacks and their implications for cybersecurity awareness.

Research focuses on improving context awareness in Vision-based Interfaces using scale, space, and time.

Exploring the Tri-Phase Offline Policy Learning-based Conversational Recommender System.

BM enhances search results by improving similarity and meaning recognition.

A user-focused method to predict video watch time for better recommendations.

A new method enhances recommendation systems by incorporating uncertainty.

A novel approach enhances speed and accuracy in recommendation systems.

A new system combines AI and web searches to detect misinformation more effectively.

Improving question-answering systems with weakly supervised learning and dense retrieval methods.

A structured method to create synthetic conversations using language models.

A new method combines AI models to improve decision-making under uncertainty.

Discover how the Koopman Operator aids in handling uncertainty in complex, changing systems.

New insights into uncertainty management improve satellite trajectory predictions.

Learn how graph signal processing analyzes data in various fields.

Improving maritime communication through integrated systems and robust designs.

A method for collaborative edge inference prioritizing privacy and efficiency.

Research introduces models for better predicting Alzheimer's disease development.

A new method enhances communication in Federated Learning through optimal update scheduling.

Exploring the explainability issues in Graph Neural Networks and potential solutions.

A new approach to electronic design that combines logic synthesis and physical placement.

PASP enhances decision-making by handling uncertainty through efficient grounding methods.

Using smart technology to optimize traffic flow in growing cities.

Exploring the use of LLMs in inductive logic programming.

An exploration of piecers' work and walking distances in 19th-century factories.

A look into the structure and relationships of intuitionistic modal logics.

An overview of algebra's role in relations and their applications in computing.

Examining how stability affects neural networks' effectiveness on unseen data.

A new method combines AI models to improve decision-making under uncertainty.

Learn how data-driven methods enhance decision-making through conditional expectations.

A study shows how dialogue systems enhance user understanding of AI models.

A new approach to reinforce learning efficiency using heavy-ball momentum in actor-critic methods.

Small language models improve healthcare by integrating diverse patient data.

Researchers introduce a new model to better understand neuron behavior.

Adversarial training enhances keyword spotting accuracy in synthetic and real speech.

A new tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

A new tool to improve predictions using deep learning and data assimilation techniques.

Analyzing the partitioning of a sphere into equal areas and its applications.

PySLSQP simplifies nonlinear programming with real-time visualization and automatic derivatives.

A new library enhances MPPI algorithms for robotics applications.

A new library improves methods for handling complex multiobjective optimization problems.

Introducing EmBARDiment, an AI agent that enhances user interactions in virtual reality.

New learning algorithms improve agent interactions in shared environments.

A new method enhances how robots share charging stations and other resources.

ASGM practices threaten ecosystems and community health worldwide.

AgentSimulator enhances simulation by focusing on resource behaviors and interactions.

Improving efficiency in x-ray experiments can advance scientific understanding across multiple fields.

Introducing a method for efficient multi-pollutant permit auctions.

Discover how reward machines enhance player engagement and outcomes in game design.

A new method to measure depth perception in 3D VR images.

A method for summarizing videos from different cultures and news sources.

A new method streamlines 3D scene editing using just one 2D image.

A new method targets multiple face authentication systems efficiently.

An innovative system automates sound generation for films and games.

Learn how Harmonizing Attention improves image blending by focusing on geometry and texture.

Enhancing image quality leads to better pupil size assessments.

Current benchmarks misjudge models' ability to connect audio and visual data.

Study reveals how handover processes affect train communication efficiency.

This article explains enhancing RPL routing with Tabu Search for better IoT performance.

This article discusses better decision-making in 5G networks during crises.

A new framework improves resource allocation for quick responses in edge computing.

Learn how optical networks have transformed modern communication and their ongoing advancements.

This article explores the TR-MAC protocol for improved wireless communication in multi-core processors.

A new method improves RPL performance in IoT networks using learning automata.

Study reveals improved methods for positioning accuracy in IoT devices.

Innovations in adaptive LIF neurons enhance performance in temporal and spatial tasks.

This article looks at enhancing the design of hand exoskeletons for better user support.

This study assesses KANs for effective fraud detection in various industries.

TACOS offers a solution to catastrophic interference in AI learning systems.

New activation functions improve neural networks for solving complex equations.

Polar-FFA improves learning in neural networks, enhancing accuracy and stability.

A look at improving train scheduling with continual learning agents.

Introducing LFLDNets, a new approach for efficient modeling of complex physical systems.

Exploring how switched systems operate and their importance in various applications.

This article presents an efficient approach to recover functions from unevenly distributed data points.

Examining how magnetic fields influence electrically conducting fluids and their practical applications.

This article reviews how neural networks assist in analyzing Bratu and Burgers equations.

This study focuses on optimal control for fluid dynamics governed by Stokes equations.

A study on phase separation in mixtures using dynamic boundary conditions.

A fresh approach to boundary value problems using dipole simulation method shows promising results.

This article examines a model for phase changes in materials like steel and ice.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

This article covers a system that manages communication between processes using sandboxes.

A new split OS design enhances cloud application performance and resource management.

Learn how explicit speculation boosts storage efficiency in applications.

CyberCortex.AI revolutionizes robot communication and efficiency in various fields.

FlexBSO enhances virtual storage efficiency, flexibility, and performance using advanced SmartNIC technology.

A look into memory allocation strategies and their importance in system efficiency.

A new approach to safeguarding system logs from unauthorized access and tampering.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

A method for simulating fluid flow in complex environments.

Enhancing data processing speeds in high-performance Particle-in-Cell simulations.

A study on improving GPU efficiency through targeted optimization techniques.

Exploring communication methods within multi-GPU supercomputers for enhanced performance.

New methods enhance the efficiency and accuracy of weather predictions.

TINA makes signal processing easier on neural network hardware.

A comprehensive tool for evaluating high-performance computing systems.

A new method helps identify performance issues in complex software systems.

A method for analyzing programs to detect errors and improve reliability.

Learn how custom derivatives enhance automatic differentiation processes in programming and machine learning.

A new method for resource estimation in quantum computing circuits.

Tyro enhances type error identification for programmers, especially beginners.

A new system helps blind users create personalized assistive technology.

Tywaves improves clarity and structure in debugging Chisel hardware designs.

Examining issues in Kotlin's type safety and potential solutions.

A new method improves verification of safety properties in finite instances.

A new method enhances learning from expert demonstrations using closed-loop control.

This paper explores Decision-Focused Learning for better action cost predictions in automated planning.

USVs can effectively track multiple targets using innovative search patterns and algorithms.

A new method improves how we recognize objects in 3D environments.

A new system helps indoor blimps navigate autonomously using visual localization.

GOReloc enhances robot positioning through object recognition and mapping.

A new framework enhances the modeling of soft robots for better predictions.

A fresh method enhances robot walking in dynamic environments using decision-making and machine learning.

Analyzing social media conversations on technology's impact and public sentiment.

This article examines how gender impacts collaboration and career growth in physics.

Learn how RED-CT improves language model applications in resource-limited settings.

Examining how disagreement shapes the effects of misinformation in society.

Study community formation in networks to gain insights into social behavior.

Examining how funding shapes knowledge in infectious disease research.

This study introduces a method to better classify cancer subtypes using omics data.

Social bots amplify false narratives and affect public opinion on social media.

Learn how to support OSS projects through effective human infrastructure.

This article examines issues of code hallucination in LLMs and their implications.

A new system for generating and assessing unit tests efficiently.

A method for analyzing programs to detect errors and improve reliability.

An overview of issues in crossover designs and data analysis in software engineering studies.

Research examines how analysis materials aid in validating security threats.

This article examines testing methods for ensuring accuracy in graph databases.

CRQBench aims to measure LLMs' code reasoning using real-world code review comments.

Adversarial training enhances keyword spotting accuracy in synthetic and real speech.

This piece discusses few-shot learning and its impact on audio tasks.

New technology links facial features to voice, aiding communication for those without a voice.

A new method enhances audio separation and generation without labeled data.

Addressing the challenges of fake audio and speaker verification.

Analyzing rage music features through machine learning for better genre classification.

Fake audio clips are a serious concern; effective detection methods are essential.

A new method improves the accuracy of detecting synthetic audio.

A new approach to event prediction using dynamic causal rules and dual history contexts.

BMLP improves datalog query evaluation using boolean matrices for better performance.

New methods improve spacecraft trajectory predictions through better uncertainty management.

Discover how active learning optimizes experiments in biological research.

This article discusses challenges in calculating three-loop form factors in particle physics.

A new approach to find ODEs using active data collection techniques.

Exploring the methods and challenges of polynomial factorization and verification.

A new method enhances symbolic regression using language models for better data analysis.