Computer Science

A novel strategy improves decision-making using advanced language models.

MAPred combines sequence and structure data for better enzyme function predictions.

Automating line monitoring enhances safety and efficiency in critical care settings.

A new Bayesian approach enhances Gaussian processes for better prediction and uncertainty handling.

This article discusses a new model for analyzing spatio-temporal data.

This article presents a method to incorporate uncertainty in volume visualization for better scientific data analysis.

A new model for faster and effective low-light image enhancement.

A fresh approach to navigation inspired by animal strategies shows promise for artificial agents.

A study on using language models for translating Wikipedia categories from English to Vietnamese.

A novel strategy improves decision-making using advanced language models.

Exploring the challenges of prioritizing numbers over theoretical insights in linguistics research.

New system merges emotional support and symptom detection for mental health.

ARPA enhances Visual Word Sense Disambiguation by integrating language and image processing techniques.

An overview of trauma, its types, and detection methods using technology.

PEARL technique improves speed and efficiency of large language models.

A look into how language models influence our understanding of language.

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.

HyperCAN uses machine learning to model and predict metamaterial behavior effectively.

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.

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.

A deep dive into how players make choices in games.

Analyzing the balance between decentralization and efficiency in outsourcing computation tasks.

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.

A-BDD enhances ML training for self-driving cars in poor weather.

ARPA enhances Visual Word Sense Disambiguation by integrating language and image processing techniques.

New model improves accuracy in skin lesion segmentation for early cancer detection.

This article presents a method to incorporate uncertainty in volume visualization for better scientific data analysis.

A new model for faster and effective low-light image enhancement.

DEEPTalk enhances facial animations by capturing emotional expressions from speech.

HOIGen introduces a new method for recognizing unseen human-object interactions.

A new approach enhances crowd counting accuracy under adverse weather conditions.

This article examines how different contexts affect fairness testing results in AI.

An overview of trauma, its types, and detection methods using technology.

Examining the evolution of Anti-Kremlin channels during the Ukraine invasion.

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.

A look at the challenges in updating security methods for digital data.

A study on improving methods for assessing Membership Inference Attacks in language models.

Research explores AI's role in detecting phishing webpages more effectively.

New methods enhance face recognition while addressing privacy concerns.

MACPrint offers improved app recognition from WiFi traffic analysis.

Discover how injection attacks target popular password managers and user safety.

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

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

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.

Low-Code is transforming software development with easier tools for all.

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.

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.

FaasMeter offers solutions for monitoring energy use in Functions as a Service.

HiCCL improves communication efficiency between GPUs in high-performance computing systems.

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.

Leveraging Large Language Models for efficient assertion generation in electronic design verification.

Techniques like ancilla qubits enhance quantum circuit efficiency for NISQ devices.

Learn about quantum networks and their key concepts for secure communication.

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.

An overview of parameterized systems and their verification challenges.

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.

This article presents a method to incorporate uncertainty in volume visualization for better scientific data analysis.

A fresh take on shape reconstruction using the many-worlds perspective.

A new method for more realistic 3D face animations adjusting to personal speaking styles.

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.

Leveraging Large Language Models for efficient assertion generation in electronic design verification.

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.

Examining the evolution of Anti-Kremlin channels during the Ukraine invasion.

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.

A comprehensive review of ontologies in Materials Science and Engineering.

Learn how businesses enhance sales through effective bundle recommendations.

Local ultrametricity sheds light on data relationships in analysis.

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.

Explore the advancements and challenges in wireless VR technology for multiple users.

Exploring the significance of testing in 5G positioning advancements.

A data-driven method enhances confidence estimates in high-dimensional regression scenarios.

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 automatic software bug fixing focusing on privacy and security.

A review of recent improvements in model counting tools and their practical applications.

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.

This article examines how different contexts affect fairness testing results in AI.

A novel strategy improves decision-making using advanced language models.

MAPred combines sequence and structure data for better enzyme function predictions.

Automating line monitoring enhances safety and efficiency in critical care settings.

Improving optimization techniques for real-valued functions using a modified Mixed Newton Method.

A-BDD enhances ML training for self-driving cars in poor weather.

A new Bayesian approach enhances Gaussian processes for better prediction and uncertainty handling.

A new method enhances accuracy and speed in spine model calibration using machine learning.

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.

Explore the advancements and challenges in wireless VR technology for multiple users.

A new model for faster and effective low-light image enhancement.

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.

Discover how new methods improve 5G network performance.

Learn about quantum networks and their key concepts for secure communication.

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 fresh approach to navigation inspired by animal strategies shows promise for artificial agents.

A new algorithm improves motion tracking using Dynamic Vision Sensors by mimicking eye functions.

Place cells in the hippocampus are vital for memory and spatial awareness.

A new method improves data visualization through effective projection pursuit.

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.

This paper discusses improving digital twins for reliable risk assessment and decision-making.

This article discusses enhancing VPINNs efficiency using Least Squares and gradient descent.

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.

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 automatic software bug fixing focusing on privacy and security.

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.

IIT Bombay Racing builds an autonomous racecar for competitive racing without human intervention.

A new approach to enhance how robots understand and respond to users.

MAVs improve building inspections in areas without GPS signals.

A fresh approach to navigation inspired by animal strategies shows promise for artificial agents.

SpbTrack improves LiDAR tracking for enhanced safety and privacy.

Enhancing robots' decision-making skills for space exploration.

Improved depth estimation from endoscopic images enhances surgical precision.

The HADRON project aims to make drone usage easier for everyone.

Examining the evolution of Anti-Kremlin channels during the Ukraine invasion.

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.

This article examines how different contexts affect fairness testing results in AI.

This paper presents a modern architecture for managing digital contracts effectively.

BPMN Analyzer 2.0 quickly identifies and fixes control flow errors in business process models.

Low-Code is transforming software development with easier tools for all.

This research focuses on improving the quality of hybrid quantum software through analysability.

A framework to improve teamwork among diverse software engineering agents.

Learn how to support OSS projects through effective human infrastructure.

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

A new method for more realistic 3D face animations adjusting to personal speaking styles.

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 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.