Computer Science

New methods improve accuracy in predicting enzyme functions and reactions.

A fresh method reduces neural network size while preserving performance.

A look at the benefits of local models and LLMOps pipelines.

SPICED offers advanced detection of analog Trojans in integrated circuits.

A new method improves translation across multiple programming languages.

InfoIGL enhances graph neural networks' performance in varied data environments.

This research explores how small energy producers can join energy markets effectively.

Exploring the role of AI in improving medical report generation and diagnosis accuracy.

A study highlights key factors behind antiwork sentiments and their impact on mental health.

Learn how language models on devices improve speed and privacy.

A framework for better predicting human movement using machine learning.

A new method makes using large language models on mobile devices more efficient.

This framework improves lie detection in conversations during Diplomacy games.

A new method to enhance relation extraction accuracy in large language models.

This research presents a new method for LLMs to solve graph problems using code.

A study on AI's understanding of tables that combine text and images.

Channel allocation strategies for improving performance in Wi-Fi networks.

New techniques improve approximations for challenging CSP instances.

A guide to the concepts of tensor rank and subrank.

A look at simplicial complexes and their applications in mathematics and decision-making.

A look into quantum computing's role in decision-making with altered data.

Learn how quantum methods can improve path counting in directed graphs.

This research examines quantum entanglement classification using algebraic geometry tools.

Exploring advanced one-way functions to secure data against quantum threats.

New methods improve accuracy in predicting enzyme functions and reactions.

Creating open access to data empowers communities and drives progress.

New methods improve material behavior predictions using advanced neural networks.

New techniques improve efficiency in modeling complex systems.

Research explores AI's role in enhancing epidemic monitoring using diverse data sources.

A system to organize insights from social media posts effectively.

Using machine learning to predict rare events in chemical processes for enhanced safety.

New dataset enhances automotive aerodynamics research and design efficiency.

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

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

Discovering new methods for creating 3D shapes from cross-sections.

This article explores the concept and applications of weakly leveled planar drawings.

New methods enhance clarity in storyline drawings by minimizing curve crossings.

Learn about the construction and significance of monotone arc diagrams in graph representation.

Learn how graph morphing transforms visual representations seamlessly while maintaining clarity.

A new barcode method enhances data analysis by capturing geometric features.

Examining no regret strategies in two-player Stackelberg games for improved decision-making.

A new approach to CFR enhances speed for large games using GPUs.

Exploring how collaboration can improve outcomes in congestion games.

A look into the dynamics of matching markets and their implications.

Examining the vulnerabilities of navigational recommendation systems and how to enhance safety.

A study on enhancing navigational recommendations for better urban driving experiences.

Exploring the intersection of human feedback and multi-agent systems for better collaboration.

A look at how players adapt strategies in competitive scenarios.

Entity-Superpixel Annotation reduces costs and improves image labeling efficiency.

A novel approach to diagnosing glaucoma through biomarker relationships.

McGrids enhance iso-surface extraction for complex 3D modeling.

Enhancing image classification accuracy using pretrained autoencoder embeddings in SimCLR.

Exploring the role of AI in improving medical report generation and diagnosis accuracy.

DynaSurfGS enhances video-based object modeling with improved image quality and shape accuracy.

A novel approach to track interactions without templates.

A new system improves smart wheelchairs' ability to identify obstacles in real-time.

This article reviews time series analysis methods and their application in education.

Learn how custom chatbots can improve educational experiences in higher education.

Integrating future events enhances accuracy in energy forecasting methods.

Creating open access to data empowers communities and drives progress.

Study examines how group formation and discussions affect programming education outcomes.

Tutorials must meet diverse learner needs in bioinformatics education.

This study investigates how CLIP interprets faces and reflects social biases.

This paper addresses the need for fairness in AI systems.

SPICED offers advanced detection of analog Trojans in integrated circuits.

This article discusses privacy challenges and solutions in smart grid technology.

Combining flow and packet data revolutionizes network threat detection.

TART boosts model accuracy while defending against adversarial attacks.

A new approach using partial TEEs boosts Tor network security and user privacy.

This article discusses improving smart contract defenses against attacks in decentralized finance.

Learn how to manage risks in open-source projects effectively.

Celtibero provides strong protection against attacks in federated learning systems.

A look into additive spanners and their role in simplifying network connections.

Channel allocation strategies for improving performance in Wi-Fi networks.

A new method for finding shortest paths in changing directed graphs.

New algorithms improve data augmentation efficiency and model performance using tree structures.

New insights into scheduling job allocation and resource management.

A new approach improves efficiency in lattice basis computation using the generalized Euclidean algorithm.

New algorithms combine quantum computing and classical methods to speed up calculations.

A new method to detect odd-length cycles in graphs using advanced algorithms.

A new framework optimizes queries across relational and graph data.

A new method combines logic and machine learning for better SQL queries.

Using knowledge graphs to analyze event logs can improve process efficiency.

TAG improves how natural language questions are answered using databases.

Galley simplifies programming with sparse tensors, enhancing efficiency and performance.

Creating open access to data empowers communities and drives progress.

A new framework to assess the strength of claims using data-driven methods.

Learn the requirements for submitting your research to NeurIPS 2024.

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

Researchers develop techniques to produce lyrics without copyright issues.

A new method improves parsing of complex historical documents.

This study examines how language models enhance OCR outputs for historical newspapers.

This study examines the effectiveness of LLMs in musicology and their reliability.

This project enhances text correction in Bulgarian historical documents using OCR technology.

A new model improves how researchers manage citations and scholarly articles.

KOSs organize research information, aiding quick retrieval and management.

Channel allocation strategies for improving performance in Wi-Fi networks.

Ultrahomogeneous graphs showcase symmetry, impacting various fields like computer science.

Exploring the patterns and properties of binomial coefficients and their significance.

A new approach improves efficiency in lattice basis computation using the generalized Euclidean algorithm.

Explore the structure and applications of 2-quasi best match graphs in biology.

Understanding key concepts for monitoring connections in oriented graphs.

New findings reveal lower cop numbers needed for capturing robbers in string graphs.

New dataset ORBITAAL provides a detailed look at Bitcoin transactions from 2009 to 2021.

A look at the benefits of local models and LLMOps pipelines.

Learn to create efficient data structures for concurrent programming environments.

This study focuses on efficient request placement in edge computing for energy savings.

An innovative approach to enhance resource management in IoT systems.

A new method using ray tracing for efficient particle interaction in 3D spaces.

Celtibero provides strong protection against attacks in federated learning systems.

LIMO optimizes task allocation in fog computing for mobile users.

Rorqual enhances transaction processing in blockchain using Trusted Execution Environments.

Creating open access to data empowers communities and drives progress.

ARWFML allows easy creation of AR applications without deep technical knowledge.

New method enhances image generation quality with quantum technology.

An innovative approach to compress advanced models efficiently without losing performance.

Streamlined systems for improved interactions between humans and machines.

New methods enhance video transmission by predicting missing data effectively.

Researchers improve optical neural networks with ternary weights, enhancing performance and efficiency.

Acoustic levitation presents a new method for effective oil spill containment.

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.

Learn about tree transducers, their types, features, and applications in data processing.

New techniques enhance offline learning for Regular Decision Processes in complex environments.

McGrids enhance iso-surface extraction for complex 3D modeling.

DynaSurfGS enhances video-based object modeling with improved image quality and shape accuracy.

A new method using ray tracing for efficient particle interaction in 3D spaces.

Examining the role of complexity in effective data visualization design.

A new method makes 3D mesh manipulation easier for artists and developers.

Study investigates realism in virtual human emotion animations.

WebCrowds offers insights into crowd behavior for effective emergency management.

A new method enhances 3D scene style transfer using Gaussian Splatting.

Exploring the potential of SNNs for efficient processing.

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

Researching hardware designs to optimize CNNs for energy-efficient image processing.

Shared-PIM improves memory efficiency and speed for computing tasks.

New techniques reduce energy use in deep learning while maintaining accuracy.

Intel's Loihi-2 chip enhances sensor fusion with speed and efficiency.

A new method enhances data address translation for better system efficiency.

A new framework enhances neural network processing for scientific research.

Researchers engage with practitioners to address social challenges through collaboration.

SayRea provides tailored service suggestions based on user context and needs.

This study examines how anonymized voices affect empathy and trust in civic discussions.

New machine learning model improves EEG data analysis for mental workload evaluation.

A study reveals a method to accurately detect driver fatigue through brain activity.

An interactive artwork transforms landscapes based on viewer interaction, raising environmental awareness.

A look at how datasets relate and the importance of these connections.

Wandercode helps programmers navigate large codebases efficiently.

New approach improves off-policy evaluation by considering social influences.

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

CF-KAN enhances recommendation systems by overcoming forgetting and adapting to user preferences.

A framework for better predicting human movement using machine learning.

Improving user search experiences through advanced multi-modal frameworks.

A look at how Knowledge Distillation enhances recommendation systems' speed and efficiency.

A look at how datasets relate and the importance of these connections.

A method that updates paper recommendations based on citation timing.

This article discusses privacy challenges and solutions in smart grid technology.

A new approach enhances data security in mixed RF and UOWC systems.

Enhancing FSO communication through reconfigurable intelligent surfaces for improved performance.

Examining the challenges in hypothesis testing for different statistical distributions.

Coprime-BB codes enhance error correction in quantum computing for better performance.

A look into enhancing evidence calculations using Bayesian methods.

New method leverages image complexity for better AI training efficiency.

Research details a method to transmit power and data simultaneously.

Exploring the impact of positive equality-free logic on model-checking methods.

A deep dive into probabilistic programming for handling uncertainty in various applications.

This article discusses improving smart contract defenses against attacks in decentralized finance.

Explore how event structures model relationships between actions in computing.

This article discusses a method to improve SMT solving by using machine learning for quantifier selection.

Learn how to make sense of complex neural networks.

A study compares model-based and model-free reinforcement learning in analogical reasoning.

A look into proof theory and its significance in mathematics.

This article examines metaconsistency in statistical models for unpredictable systems.

New methods improve accuracy in predicting enzyme functions and reactions.

New approach improves off-policy evaluation by considering social influences.

This study improves active learning using derivatives for better predictions.

A fresh method reduces neural network size while preserving performance.

A novel approach to diagnosing glaucoma through biomarker relationships.

A look at the benefits of local models and LLMOps pipelines.

A new method improves predictions while managing costs in healthcare.

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.

A new framework combines machine learning and PDEs for efficient scientific modeling.

Learn how quantum emulators advance research and explore algorithm performance.

A new method enhances warehouse operations by combining task assignment and path finding.

A novel approach to locate multiple sources in 3D space using TDOA measurements.

VIRIS helps assess and reduce airborne disease risks in indoor spaces.

A framework to improve expert contributions in agent-based models.

MAPF-GPT offers an innovative approach to solving multi-agent pathfinding challenges using machine learning.

Exploring key factors that sustain social movements over time.

A new method to simplify simulations in agent-based models by combining similar agents.

Exploring the intersection of human feedback and multi-agent systems for better collaboration.

SynthDoc creates synthetic documents for machine learning in document reading.

This study presents a model to analyze emotional reactions to video content.

This article discusses the benefits of merging voice and facial recognition systems.

A new method for creating RGBA images easily and effectively.

Kangaroo improves video analysis by integrating visuals, sounds, and text effectively.

This paper presents a single-encoder model for improved image segmentation based on text descriptions.

New methods improve voice separation in noisy environments.

A new framework enhances image captioning accuracy and reduces errors.

Innovative loss function improves CQI prediction accuracy in dynamic 5G environments.

This article presents a machine learning approach for anomaly detection in telecommunication systems.

Exploring communication efficiency for IoT devices in wireless networks.

LIMO optimizes task allocation in fog computing for mobile users.

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

A study on improving efficiency in network slice management across multiple domains.

A look at enhancing resource allocation in edge networks using collaborative learning.

Exploring how Dynamic Spectrum Management shapes the future of mobile communication.

A new method simplifies how we assess model uncertainty in predictions.

Explore the complex journey of how we see colors.

Exploring polynomial neural networks and their applications in various fields.

Discover how neuromorphic computing mimics brain learning for efficient machine intelligence.

Innovative architecture enhances efficiency in deep learning through optical computation.

A new model improves accuracy of wind speed predictions in challenging landscapes.

Examining how SNNs compare to ANNs in energy consumption.

Analyzing the impact of quaternion-based components on image classification performance.

New methods improve simulations of fluid flows in porous media with uncertain parameters.

A look into how microbubbles enhance ultrasound imaging quality.

A new method improves accuracy in fluid dynamics for charged particles.

A new method for reducing parameters and speeding up training in neural networks.

New methods enhance nonlocal diffusion problem modeling across various fields.

New insights into diffusion models enhance their efficiency and adaptability in data generation.

A methodical approach to solving complex equations using contour integrals.

A method for solving complex equations by dividing them into manageable parts.

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 detailed look at CXL memory performance and optimization techniques.

A look at FIFO and Round Robin scheduling methods in computing systems.

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.

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.

DiOMP combines PGAS and OpenMP for efficient distributed systems programming.

This article examines AI's growing energy needs and its implications for power systems.

Analyzing energy consumption in supercomputers for enhanced efficiency.

A new method improves translation across multiple programming languages.

Learn to create efficient data structures for concurrent programming environments.

Galley simplifies programming with sparse tensors, enhancing efficiency and performance.

This paper presents a method to automatically create formal semantics using interpreters.

A new type system for Elixir improves error detection and code clarity.

MetaFFI enhances integration between different programming languages effortlessly.

Exploring new methods for efficient program generation.

A new method improves grammar inference for programming languages with better accuracy and readability.

Exploring the role of SLAM and RL in improving robot navigation.

A novel approach enhances object detection in 3D point clouds for self-driving cars.

New datasets and models improve LiDAR data quality in bad weather.

A novel approach improves how quadruped robots walk on varied terrains.

A new method improves the design of parts for interactable items.

RoboMNIST aids robots in recognizing various activities using WiFi, video, and audio.

This research showcases how robots learn complex tasks through real-world training.