Computer Science

This article sheds light on the critical role of uncertainty in AI.

This study uses ControlNet to improve image generation from abstract art descriptions.

New methods improve autism detection through analysis of children's home videos.

Analyzing neural systems at multiple levels enhances insights into behavior and decision-making.

A new approach enhances gradient calculations, improving transformer efficiency in machine learning.

A new model aims to translate brain activity into readable language.

A new method enhances model performance using shared knowledge across tasks.

HBIC approach improves analysis of complex medical datasets.

A new approach enhances gradient calculations, improving transformer efficiency in machine learning.

A new method enhances model performance using shared knowledge across tasks.

A new approach improves dysfluency modeling for therapy and language learning.

Research shows how LLMs enhance automatic speech recognition in Japanese language.

MedDec aids in understanding and improving medical decision-making through structured clinical notes.

This article covers the development of open large language models for the Lithuanian language.

Exploring how large language models learn from examples in various contexts.

A new method improves memory usage and training speed in large language models.

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

A simplified look at CSPs and the impact of additional constraints.

Introducing character complexity to improve quantum circuit analysis and algorithm design.

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.

Embedding indicators in structures can alert to overload situations, enhancing safety.

A framework for fair pricing in smart home cyber insurance.

A new neural network, STAResNet, offers improved solutions for electromagnetic field predictions.

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.

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.

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.

An overview of logistics challenges in competitive scenarios.

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 new approach enhances deep learning by focusing on neuron diversity.

This study uses ControlNet to improve image generation from abstract art descriptions.

New methods improve autism detection through analysis of children's home videos.

MCTR enhances multi-camera tracking by integrating data from different views.

AI systems enhance mammogram accuracy and trust through effective interpretability techniques.

New methods enhance action detection in videos through innovative training techniques.

A new method enhances neural networks' ability to handle geometric changes.

Research merges 3D modeling with machine learning for improved visuals.

Using causal ML can significantly improve agricultural decision-making and sustainability.

Examining how gender influences moral choices in online forums.

Examining the importance of fairness in AI systems impacting lives.

Examining how capital evolves with technology and its implications for society.

Learn how personalized models can enhance educational training efficiency.

Examining biases in outlier detection models to promote fairness.

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

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

Tamgram simplifies modeling of security protocols, boosting verification efficiency.

Examining context in machine learning for identifying software vulnerabilities.

New methods enhance privacy in sharing electricity usage data while maintaining its usefulness.

New framework utilizes large language models for effective software patching.

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.

Exploring random walks on the associahedron and their mixing times.

Exploring efficient methods for accurate log-concave sampling in complex data environments.

Learn about advancements in joint replenishment strategies for efficient inventory management.

Research focuses on efficient algorithms for dominating sets in complex networks.

Learn how to determine fair meeting spots using graph centers and centroids.

Exploring the complexity of dividing graphs into two connected groups.

A look into the complexities of identifying candidate keys in database design.

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

A novel method to enhance data discovery and analysis for better predictions.

A look into the complexities of identifying candidate keys in database design.

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 study of collaboration in Data Mining and Software Engineering.

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.

Study of connections in networks through random geometric graphs.

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

A look into Woodall's conjecture and its significance in planar graphs.

Learn how to determine fair meeting spots using graph centers and centroids.

Exploring the complexity of dividing graphs into two connected groups.

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.

Innovative methods enhance quantum circuit simulations, overcoming hardware limitations.

Research focuses on efficient algorithms for dominating sets in complex networks.

Explore the methods for consensus in systems facing faults and malicious behaviors.

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.

New techniques in NV magnetometry enhance magnetic field measurement accuracy and efficiency.

A new approach to building accessible virtual spaces using WebXR and A-Frame.

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.

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.

A new approach improves the design of surfaces that control light patterns.

Learn efficient methods for rendering glints on shiny surfaces using area lights.

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.

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.

This article discusses how avatars can boost self-awareness in virtual training.

Drowsiness detection methods enhance safety in driving, workplaces, and healthcare.

A platform designed for better understanding of AI decisions through tailored explanations.

Combining SONAR imaging and deep learning enhances clarity in underwater classifications.

Examining the importance of fairness in AI systems impacting lives.

Learn how personalized models can enhance educational training efficiency.

A new approach to building accessible virtual spaces using WebXR and A-Frame.

Researchers engage with practitioners to address social challenges through collaboration.

A platform designed for better understanding of AI decisions through tailored explanations.

Learn how low-rank approximation simplifies data analysis in various fields.

Leveraging advanced techniques to find new uses for existing drugs.

This article examines how token management in ColBERT affects document ranking.

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.

This work focuses on explaining decision-making in AI using Monte Carlo Tree Search.

Learn how dimension reduction simplifies complex data for easier analysis and interpretation.

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.

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.

New methods enhance computer understanding of whispered and normal speech.

This article sheds light on the critical role of uncertainty in AI.

This study uses ControlNet to improve image generation from abstract art descriptions.

A new approach simplifies the training of equivariant neural networks for better performance.

A new approach enhances gradient calculations, improving transformer efficiency in machine learning.

Exploring certified unlearning and its role in data privacy protection.

A new model aims to translate brain activity into readable language.

New method BaDLoss enhances protection against data poisoning in machine learning.

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.

AI is reshaping how music is composed and experienced.

A new method improves emotion recognition in conversations using multiple data sources.

Introducing RMARN: an innovative approach to connect text and 3D data.

A new method transforms text into detailed 3D scenes seamlessly.

A new approach to building accessible virtual spaces using WebXR and A-Frame.

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.

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.

A new approach improves accuracy in fluid flow simulations through complex materials.

A method to solve matrix equations for better image quality.

Learn how low-rank approximation simplifies data analysis in various fields.

Explore advancements in fluid flow simulations using SPH method for cavity flow.

Innovative approaches to enhance carbon dioxide transport safety and efficiency.

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 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.

Learn how to analyze heap memory for better program performance.

This paper discusses the importance of generating diverse code solutions.

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.

Examining how age affects trust in robots during caregiving tasks.

Research aims to improve models of finger movement for enhanced robotic design.

A new system using event cameras enhances robot navigation and mapping accuracy.

New methods stabilize robot camera images for enhanced perception.

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.