Computer Science

A fall detection system using advanced sensors helps provide timely assistance to older adults.

This framework enhances how knowledge is combined in machine learning models for better performance.

A new tool simplifies learning about Vision Transformers and their operations.

Explore how interpretability illusions affect our view of neural networks.

A new deep learning model improves flight passenger traffic predictions for airlines.

A study on combining group and individual traits in natural language processing.

This article discusses the need for clarity in machine learning models.

This article explores using game theory to enhance communication through language models.

This framework enhances how knowledge is combined in machine learning models for better performance.

Automated tools often misjudge African American English, leading to unfair treatment online.

Explore how interpretability illusions affect our view of neural networks.

This tool uses advanced methods to verify statements about climate change.

A study on combining group and individual traits in natural language processing.

This research highlights challenges in aligning LLM outputs with human values.

This article explores using game theory to enhance communication through language models.

APT-Pipe automates prompt tuning for efficient text annotation using ChatGPT.

Examining how pigeonhole principles and Ramsey theory shape search problems in computer science.

Quantum pseudorandom state scramblers enhance random state generation in quantum computing.

Examining the complexities of reconfigurable routing in modern data center networks.

Learn how omniprediction shapes forecasting in various industries.

A deep dive into the world of CSPs and their solutions.

A look into how random choices impact querying functions and complexity measures.

A guide to quantum error correction methods, focusing on the surface code.

Examining recent improvements in communication protocols and their combinatorial implications.

Examining the role of wearable technology in monitoring chronic illnesses.

Exploring the latest developments in piezoelectric energy harvesting technology.

Studying adversarial impacts on automated stock trading agents in competitive markets.

A new optimization method for efficient district heating network design.

Using data analysis to identify promising startups before investment.

Graph Multi-Similarity Learning enhances drug discovery through flexible molecular relationships.

A new method improves stability in Smoothed Particle Hydrodynamics simulations of materials.

Research focuses on enhancing coiling methods to treat cerebral aneurysms safely.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

This article explores challenges and methods in visibility-based search for efficient route planning.

A new framework improves the clarity and scalability of graph visualizations.

This article explores using game theory to enhance communication through language models.

Learn how Transaction Fee Redistribution Mechanisms can lower costs for blockchain users.

How network structures affect opinion sharing and belief accuracy.

Examining the impact of strategic user interactions on service performance.

This study shows how AI can predict human decision-making in economic scenarios.

An overview of multi-agent learning and strategies for better cooperation.

This study offers solutions for distributing items based on shared preferences.

Strategies to enhance decision-making in cooperative environments with incomplete information.

A new approach enhances video object segmentation accuracy and efficiency.

New methods aim to enhance pneumonia diagnosis in children's lung health.

New tech helps users visualize products in their own spaces before buying.

S2TPVFormer enhances predictions by integrating spatial and temporal information for better scene understanding.

Conference discusses fairness across image upsampling techniques and racial representation.

A comprehensive dataset aids in great ape research and conservation efforts.

A new approach transforms human motion stylization for film and gaming.

A novel approach to fill gaps in medical imaging for better anatomical accuracy.

Explore SCORPION, a dynamic Cyber Range for cybersecurity training and skill development.

A framework for designing trustworthy AI systems using the MAST tool.

Research shows AI changes idea diversity but not individual creativity.

A study reveals why users often stick to misinformation spreaders on social media.

How perception shapes decisions in automated systems.

Identify and support at-risk students in programming courses for better outcomes.

Understanding the importance of AI auditing for fair and responsible technology use.

Examining the role of AI chatbots in mental health assistance.

Explore potential weaknesses in IOTA's peer-to-peer technology and its resilience against attacks.

Explore SCORPION, a dynamic Cyber Range for cybersecurity training and skill development.

Quantum pseudorandom state scramblers enhance random state generation in quantum computing.

This paper discusses the importance of randomness in cryptographic systems.

Creating synthetic data helps researchers study stress while keeping personal information safe.

Learn how Transaction Fee Redistribution Mechanisms can lower costs for blockchain users.

Discover how AMMs support trading in thin markets and enhance price stability.

An in-depth look at the security features of PoW and PoS.

A new method to color edges in specific sparse graphs with minimal colors efficiently.

Exploring methods to improve search efficiency in trees with varying node costs.

Recent improvements in k-Clique algorithms enhance efficiency in identifying connected groups.

Examining methods to compute with noisy data across various functions.

A study on point arrangements and their implications in combinatorics and group theory.

Learn how omniprediction shapes forecasting in various industries.

Learn how interactive coding enhances secure communication between parties.

A look into how random choices impact querying functions and complexity measures.

This study presents methods to reduce regret in billboard advertising slot allocation.

A system to streamline data collection on superconductors for improved research accuracy.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Learn how to minimize regret in billboard ad spaces.

Discover how Object Graph Programming simplifies data handling in software development.

VDMS upgrades streamline visual data processing for efficient query handling.

Explores the connection between academic citations and scientific disruption.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

New analysis reveals inaccuracies in claims about reduced innovation in scientific papers and patents.

Analyzing trends and key contributors in quantitative finance from arXiv papers.

Exploring methods to improve search efficiency in trees with varying node costs.

Examining the complexities of reconfigurable routing in modern data center networks.

A study on point arrangements and their implications in combinatorics and group theory.

This article examines the connections in friends-and-strangers graphs and their implications.

Explore how character order affects BWT performance in data compression.

A deep dive into the world of CSPs and their solutions.

A look at transit functions and their role in clustering systems.

Study on rotation operators and their performance amidst noise and various norms.

Recent improvements reduce analysis time in plasma experiments, enhancing efficiency in data collection.

A study on balancing privacy and efficiency in medical image processing.

A new system improves how self-driving cars communicate and cooperate on the road.

A system to automate monitoring of illicit activities on the dark web.

A look at enhancing ROOT with SYCL for efficient data analysis.

An in-depth look at the security features of PoW and PoS.

Learn how to improve transformer model efficiency with GPU-friendly design.

A new system improves the speed of language models in various applications.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

This article examines quantum forgery attacks on encryption schemes COPA, AES-COPA, and Marble.

New methods improve efficiency in automata learning for complex systems.

A study of deterministic Parikh automata and their role in processing infinite words.

Learn how multiparty session types facilitate clear communication in complex systems.

An overview of regular languages and how they can be combined.

New method determines separability of VASS reachability languages.

A new approach to measure responsibility in AI models using game theory.

A new method improves system design for safety-critical applications.

A look at tree transducers and their role in data transformation.

This article presents a simpler way to render fabric details effectively.

A new method improves the creation of emotionally expressive talking-head videos.

This paper presents an AI method for efficient apartment building design.

A new method accelerates rendering of volumetric materials, enhancing quality and speed.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

AR technology improves precision in laparoscopic liver resection.

A look at how sensor simulations boost safety in autonomous driving.

A new method simplifies creating personalized 3D avatars using everyday devices.

A low-power op-amp design for improved biomedical applications.

Learn how CNM and CIM optimize data handling for machine learning.

A look at advancements in THz communication technology for IoT.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

Harnessing energy efficiency in industrial systems for optimal performance and sustainability.

Examining the evolving relationship between DRAM producers and consumers.

Learn how ACADL simplifies modeling for AI hardware accelerators.

A new AI system transforms color choices in interior design.

This article explores LLM confidence and user perceptions.

Research shows AI changes idea diversity but not individual creativity.

A study reveals why users often stick to misinformation spreaders on social media.

How perception shapes decisions in automated systems.

Identify and support at-risk students in programming courses for better outcomes.

A new approach to enhance the accuracy of online crowdsourced annotations.

A structured approach to understanding decision-making and biases.

Learn how technology helps categorize music genres efficiently.

A new method, InfoRank, reduces biases in online recommendations.

This article investigates methods to predict the effectiveness of personalized search results.

A system to automate monitoring of illicit activities on the dark web.

Explores the Neural Pattern Associator for smarter shopping suggestions.

A new framework speeds up information retrieval for language models.

The QA-RAG model improves accuracy and efficiency in pharmaceutical compliance.

Self-BioRAG enhances medical question answering with improved accuracy and relevance.

Examining methods to compute with noisy data across various functions.

Research on LRCs focuses on improving data recovery and understanding performance limits.

This paper examines AMP's role in high-dimensional statistics, focusing on sparse and robust regression.

Innovative methods for estimating covariance matrices while protecting personal privacy.

This study examines methods to send data accurately amidst noise interference.

Learn how group testing can efficiently find defective items in various fields.

A look into Hume's problem with induction and the role of probability.

Learn how interactive coding enhances secure communication between parties.

Discover the role of monadic intersection types in improving programming language type systems.

A new framework for understanding agent interactions with resource constraints.

This article explores how cut-rank influences graph transformations and their applications.

Explore the art of misdirection in magic and daily life.

A deep dive into the world of CSPs and their solutions.

New methods aim to streamline interactive proofs in computer science, enhancing efficiency.

New method enhances neural networks against adversarial attacks using set-based inputs.

A new approach for safely analyzing program complexity through controlled data release.

Combining different representations enhances machine learning in protein studies.

Examining teaching methods to improve learning through various representations.

A new method improves feature selection efficiency in machine learning models.

Explore how interpretability illusions affect our view of neural networks.

A new deep learning model improves flight passenger traffic predictions for airlines.

A study on combining group and individual traits in natural language processing.

A new method enhances drug candidate evaluation by leveraging 3D molecular structures.

This article discusses the need for clarity in machine learning models.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

A look at numerical computation and its applications in various fields.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A look into Appell and Lauricella functions and their impact on scientific calculations.

A study of how individual actions shape economic stability and interactions.

A new method to forecast agent behavior despite incomplete observations.

This study presents methods to reduce regret in billboard advertising slot allocation.

This article examines how communication shapes social norms in autonomous agents.

Using liquid democracy concepts can enhance ensemble learning efficiency and accuracy.

An overview of multi-agent learning and strategies for better cooperation.

Learn how to minimize regret in billboard ad spaces.

A new method aids agents in quickly adapting to peers' behaviors.

A unified approach to assess fish feeding using audio and video data.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

A new system that connects music and language for better understanding.

Learn how to design posters that communicate messages clearly and attractively.

A new approach enhances service delivery in fog computing for IoT applications.

A genetic algorithm optimizes resource allocation for cloud containers, enhancing efficiency and performance.

A new method improves service availability and response times in fog computing.

A look at improving data transfer with TSN techniques.

Examining the complexities of reconfigurable routing in modern data center networks.

Learn how to enhance AI performance using GPU remoting and effective networking.

LEACH-RLC protocol enhances energy management in IoT networks through smart clustering.

Exploring the impact of large models on future wireless networks.

Study reveals strong patterns in depthwise-separable CNNs linked to biological vision.

Learn how sign averaging improves optimization in noisy environments.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

This research discusses the benefits of Evolvable Agents in distributed computing.

Learn how explainable benchmarking improves understanding of optimization algorithms.

Discover the energy-efficient world of Spiking Neural Networks and their unique learning methods.

Research highlights the importance of neuron interactions in sensory perception.

A detailed comparison of GMLS and RBF-FD methods for accurate surface derivative calculations.

A novel approach improves wave simulation in irregular landscapes for better predictions.

This article examines how rumors spread and ways to manage their impact.

A new method improves speed in solving symmetric eigenvalue problems using Riemannian techniques.

A new approach combines dynamic mode decomposition with time-dependent models for fluid dynamics.

A look into the fundamentals of motion in robotics.

Using deep learning for better basket option pricing accuracy.

A deep look at the LLBar equation and its impact on technology.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

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

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

Discover how DNA could change the future of data storage.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

New methods streamline PageRank updates as networks change.

A closer look at the performance and challenges of large language models in practice.

Unlocking the potential of graph databases with advanced query optimization techniques.

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

A novel communication model to boost IoT device connectivity and efficiency.

Strategies to handle resource allocation in evolving communication systems.

Discover the role of monadic intersection types in improving programming language type systems.

A novel approach to software testing using gray-box fuzzing and gradient descent.

A new method simplifies proving program properties using unrealizability logic.

Learn how Universal Composability and other theories enhance cryptographic security.

Learn how static analysis tools like C Analyzer improve software reliability.

This method enhances coding accuracy through reusable function learning and refactoring.

A new model supports efficient communication in choreographic programming.

Combining LLMs and formal verification to improve programming accuracy and efficiency.

GExp allows robots to learn and interact with their environments independently.

Exploring robot coverage for safety in hazardous environments.

A new framework enhances robots' ability to perform varied manipulation tasks.

Examining interactions between families and robots for better design and support.

Study examines how robotic coaches communicate mental well-being support.

A new drone system improves safety in power line inspections.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

This paper presents an innovative method for managing automated vehicle speeds in heavy traffic.

Automated tools often misjudge African American English, leading to unfair treatment online.

Explore potential weaknesses in IOTA's peer-to-peer technology and its resilience against attacks.

A study reveals why users often stick to misinformation spreaders on social media.

A new method forecasts the structure of dynamic graphs over time.

GraphTempo helps study changes in graphs over time, enhancing analysis efficiency.

Learn how to analyze evolving graphs for key historical events.

Researchers aim to detect and prevent AI-generated fake news through style analysis.

Researchers face challenges with data access in the Post-API era.

Learn key techniques for crafting better prompts for large language models.

A study on the roles of paid developers and volunteers in Rust projects.

A new method enhances incident management for cloud services using historical data.

A new method for evaluating deep learning model reliability using data preconditions.

A new modular approach improves efficiency and accuracy in identifying cyber attackers.

A study on improving automated tools for code simplification in software development.

A new method combines AI and static analysis for better code suggestions.

OMP GPT specializes in generating OpenMP pragmas for efficient coding in HPC.

Learn how technology helps categorize music genres efficiently.

A unified approach to assess fish feeding using audio and video data.

A new method improves the creation of emotionally expressive talking-head videos.

This study explores issues with using convnets for audio filterbank creation.

The CLAP model bridges audio and text processing for various applications.

A project aims to improve French speech processing using self-supervised learning.

New methods improve how machines recognize speech rhythm and emotion.

A new approach improves sound estimation in spaces with scattering objects.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

A look into the role of quantum circuits in computing and future prospects.

A low-power op-amp design for improved biomedical applications.

Examining how electric ride-hailing drivers manage pick-ups and charging decisions.

Exploring robot coverage for safety in hazardous environments.

Efficiently managing power generation with constraint screening and machine learning.

Exploring the risks of supply chain attacks in updated power infrastructure.

Exploring the potential of THz technology for faster data transmission.

A new drone system improves safety in power line inspections.

Exploring solutions for data-driven applications in distributed systems.