Computer Science

This article presents a method for effective learning through single goal exploration.

A new framework improves robot task planning in dynamic environments.

A new system targets hate speech in memes effectively.

Curled-Dreamer enhances decision-making in reinforcement learning using contrastive learning methods.

Discover methods for automatic rule mining in data sets.

Study reveals effective methods to identify hallucinations in large vision-language models.

Exploring how GNNs can model interactions in complex systems.

MAT-SED uses a novel Transformer model for effective sound event detection.

Dialogue separation helps viewers hear conversations clearly amidst background noise.

A new system targets hate speech in memes effectively.

A study on how characters' actions reveal their goals in stories.

HiLight model enhances text classification efficiency without complex structure encoders.

Study reveals effective methods to identify hallucinations in large vision-language models.

Prompto simplifies working with multiple Large Language Models for researchers.

Research explores how density matrices can aid in understanding metaphorical language.

A new method enhances stock market predictions after earnings reports using AI.

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.

This study explores physics-informed machine learning for improving gold flotation process predictions.

A novel approach using EEG data may improve early detection of Alzheimer's.

Efficient vehicle routing and scheduling methods for timely deliveries.

CryoBench helps enhance cryo-EM method evaluation with diverse datasets.

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 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 look at how information compression aids decision-making in complex game environments.

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.

MicroSSIM enhances image quality assessment in microscopy for better scientific outcomes.

Curled-Dreamer enhances decision-making in reinforcement learning using contrastive learning methods.

New model improves hyperspectral imaging data handling and quality.

Self-TPT simplifies prompt tuning for vision-language models, improving speed and efficiency.

A model designed to improve medical image classification with limited data.

A new method improves online shopping search results through combined text and images.

R-Adapter enhances efficiency and robustness in model fine-tuning for image and text tasks.

A new method improves image resolution using self-similarity analysis.

New method for drawing districts focuses on community ties and representation.

A study on wealth estimation models across Sub-Saharan Africa.

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.

Shuffling attacks reveal vulnerabilities in AI fairness assessments using methods like SHAP.

TCT offers a new way to secure Ethereum smart contracts.

This study assesses LLMs' effectiveness in finding vulnerabilities across programming languages.

An overview of blockchain's role in smart systems and the challenges it faces.

Malacopula challenges the reliability of automatic speaker verification technologies.

New method Hound enhances protection against side-channel attacks.

ByCAN automates the reverse engineering of CAN messages for improved vehicle communication.

A new framework improves privacy and efficiency in federated learning.

Exploring advanced techniques for uniform sampling in complex geometric shapes.

A new algorithm improves efficiency in quantum circuit compilation using Pauli strings.

Efficient vehicle routing and scheduling methods for timely deliveries.

A new model to improve public transport planning by considering vehicle capacity and passenger behavior.

Learn efficient methods for generating random numbers in programming.

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.

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.

PATopics streamlines access to pharmaceutical patents for researchers, chemists, and companies.

Learn how Class-Incremental Learning improves authorship attribution systems.

A new framework utilizes machine learning for efficient literature review in astronomy.

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 model to improve public transport planning by considering vehicle capacity and passenger behavior.

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.

Combining federated learning and blockchain for secure model sharing.

A guide for developers on memory power usage in high-performance computing.

FlexMod improves federated learning by optimizing resource allocation for diverse data types.

Research highlights traffic patterns and congestion near UNCC using iterative methods.

Introducing a new method for improving federated learning efficiency through tailored submodels.

A new method for improving consensus in distributed systems using machine learning.

A new framework improves privacy and efficiency in federated learning.

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

A look at quantum walks and their implications in computing efficiency.

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.

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.

New methods improve NeRF's speed and efficiency for high-quality image rendering.

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.

New methods improve NeRF's speed and efficiency for high-quality image rendering.

Innovative quantum adder designs improve performance in noisy environments.

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.

This study reveals how personal beliefs influence perceptions of AI predictions.

Blind individuals face unique obstacles with AI tools and find ways to adapt.

This study examines how color choices improve text navigation and reader preference.

Auptimize enhances audio cue placement for better user interaction in XR.

Exploring the appeal of Reddit for seeking personalized recommendations.

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 new method improves online shopping search results through combined text and images.

PATopics streamlines access to pharmaceutical patents for researchers, chemists, and companies.

Learn how Class-Incremental Learning improves authorship attribution systems.

A new method enhances video recommendations by focusing on long-term user happiness.

Exploring the appeal of Reddit for seeking personalized recommendations.

A new framework utilizes machine learning for efficient literature review in astronomy.

A comprehensive review of ontologies in Materials Science and Engineering.

Learn how businesses enhance sales through effective bundle recommendations.

Movable antennas adapt to improve communication performance in various environments.

A look into VOFDM's benefits for dynamic communication environments.

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.

A look at nested conditions and their impact on graph transformations.

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.

A fresh look at carbon exchange dynamics through innovative data methods.

Exploring advanced techniques for uniform sampling in complex geometric shapes.

This article presents a method for effective learning through single goal exploration.

Exploring how models move from memorization to effective generalization.

Curled-Dreamer enhances decision-making in reinforcement learning using contrastive learning methods.

Exploring how GNNs can model interactions in complex systems.

R-Adapter enhances efficiency and robustness in model fine-tuning for image and text tasks.

This study explores physics-informed machine learning for improving gold flotation process predictions.

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.

A new method enhances coordination and communication among multiple drones during exploration.

A look at how information compression aids decision-making in complex game environments.

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.

A new system targets hate speech in memes effectively.

ViMo technique transforms everyday videos into realistic 3D movements.

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 overview of blockchain's role in smart systems and the challenges it faces.

ByCAN automates the reverse engineering of CAN messages for improved vehicle communication.

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.

A study on the effectiveness of QGANs versus Markov models in eye tracking.

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.

A look at the reflective block Kaczmarz algorithm and its applications.

Explore the role and applications of finite trigonometric sums across various fields.

A new approach to enhance accuracy in hyperbolic conservation laws using jump filters.

A new method combines SINDy and Bayesian optimization to analyze DDEs efficiently.

Innovative methods enhance understanding of water flow dynamics.

Scientists blend traditional models and deep learning for ice thickness predictions in Greenland.

This article presents a new method for simulating quantum systems with changing forces.

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

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 guide for developers on memory power usage in high-performance computing.

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 algorithm improves efficiency in quantum circuit compilation using Pauli strings.

TCT offers a new way to secure Ethereum smart contracts.

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.

A new method enhances coordination and communication among multiple drones during exploration.

A new framework improves robot task planning in dynamic environments.

New methods allow robots to move freely in changing environments.

A new method improves robot navigation in uncertain environments.

Exploring techniques for enhancing robot hand coordination and task efficiency.

The EyeSight Hand mimics human dexterity with advanced touch sensing technology.

Stable-BC enhances robot performance in unexpected situations through improved behavior stability.

A new system enhances vehicle control in rough terrain using two methods.

A new system targets hate speech in memes effectively.

This study examines the influence of link weights on synchronization in multilayer networks.

Examining how behaviors spread using hypergraph models.

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.

Denum improves log compression by focusing on numeric tokens for efficiency.

A new method to enhance code generation in LLM4Code models.

Top Pass enhances code generation by improving candidate ranking for quicker solutions.

A new tool that connects user feedback with software development tasks.

This study assesses LLMs' effectiveness in finding vulnerabilities across programming languages.

A new method using GANs to improve deep learning testing.

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

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