Computer Science

New model generates realistic full-body motion from limited tracking data.

A new approach combining seeing, language understanding, and reasoning for better AI.

Introducing methods for safe exploration in reinforcement learning to minimize risks.

A new method enhances SQL query accuracy from natural language inputs.

A system to extract and organize medical data using knowledge graphs.

IBBT enhances robot path planning by handling uncertainty efficiently.

Exploring new methods for efficient imitation learning in machines.

A new method enhances model efficiency in learning with limited data.

Research aims to forecast memorization behavior in language models for better privacy control.

A new approach combining seeing, language understanding, and reasoning for better AI.

A new method enhances SQL query accuracy from natural language inputs.

A system to extract and organize medical data using knowledge graphs.

A look at Token Classification and Question Answering for document processing.

This study focuses on predicting when news articles were published using content analysis.

This model improves predictions of eye movements and enhances reading comprehension analysis.

This article highlights the importance of personalization in improving language model performance.

New algorithm offers efficient solutions for 2-MAXSAT challenges in optimization.

A new method enhances secure communication using quantum principles.

An exploration of the Metropolis-Adjusted Langevin Algorithm's performance in sampling.

A comparison of HMC and MALA for efficient sampling from complex distributions.

An overview of quantum circuit complexity and its real-world applications.

An overview of constant-rate multi-mode systems and their applications.

Exploring the complexities of power series and related mathematical problems.

Exploring the challenges of proving unprovable statements in logic and math.

Study reveals how QRS patterns indicate heart attack severity.

A look at improved methods for designing chemical compounds with specific properties.

Study shows machine learning improves predictions for drop coalescence in microfluidics.

A novel method improves resource allocation in simulations of changing physical systems.

This article discusses a new formulation for accurately predicting pressurized crack behavior in materials.

Explore asset allocation methods to mitigate risks during persistent inflation.

A new method enhances efficiency in arranging VLSI modules.

This study explores MMW radar's ability to detect small objects in various conditions.

Learn how Voronoi diagrams optimize floodlight placement for effective illumination.

This article discusses the complexities of imprecise polylines and their applications.

A look at the nearest neighbor problem for polygonal curves and Fréchet distance.

Examining how to prevent collisions in modular robotic systems.

An analysis of crease-free folding in convex polygons and its implications.

Introducing hyperbolic quadtrees for efficient data organization in unique geometries.

A new model improves route optimization for the Traveling Salesman Problem using deep learning techniques.

A look into making clustering results easier to explain and understand.

A look at game strategies balancing long-term goals and short-term results.

A look at strategies to control epidemic spread in interconnected systems.

Joker games combine competition and cooperation, allowing players to influence each other's actions.

This paper presents a new method for fair clustering based on group size.

A discussion on fairly assigning items to players while ensuring honesty.

A new reward mechanism enhances player engagement in educational mobile gaming.

Learn how pricing and advertising work together to boost sales.

Exploring how autonomous agents can work together effectively despite differing abilities.

A new method improves hyperspectral image quality by reducing noise effectively.

New model generates realistic full-body motion from limited tracking data.

New techniques simplify the creation of realistic 3D avatars from basic video footage.

A look at the frequency-guided diffusion model in medical imaging.

New deep learning networks improve accuracy in medical image segmentation.

Researchers enhance whale whistle extraction using advanced data methods.

NUMSnet revolutionizes medical image analysis with efficient segmentation methods.

Researchers develop DeformableFormer to enhance pancreatic tissue sample assessment.

Examining individual fairness in Bayesian models compared to traditional neural networks.

An analysis of Reddit's changes during the COVID-19 pandemic.

AI tools are reshaping map creation, raising concerns about accuracy and trust.

This study examines how DRL improves student knowledge and problem-solving skills.

SynthPop++ creates synthetic populations for better data-driven decisions.

This study addresses fairness in selecting optimal options among diverse subpopulations.

Analyzing dataset use in voice biometrics reveals significant bias and privacy concerns.

Smart education reshapes learning through technology, improving experiences for students and teachers.

Learn about the dangers of model poisoning attacks and their impact on federated learning.

A study examining vulnerabilities in connected vehicle systems under resource-limited attacks.

This article discusses methods to enhance the security of small embedded devices.

This paper examines the security gaps in GNSS authentication methods and their implications.

A deep look into how the Conti ransomware group operates and profits.

A new method enhances secure communication using quantum principles.

Techniques to safeguard sensitive data while maintaining system performance.

A new approach combines neural networks with steganography for better data hiding.

New algorithms optimize sorting for string data in various applications.

Learn how Voronoi diagrams optimize floodlight placement for effective illumination.

Explore edge coloring techniques under memory constraints and their real-world applications.

This work presents a new method for solving the 2-ECSS problem more efficiently.

A novel method improves finding vertex-disjoint paths in graph theory.

This article examines a method for generating simple path graphs with limited hops.

New methods improve matching efficiency in dynamic graphs for real-time applications.

A look into subgraph hitting in sparse and geometric intersection graphs.

A new method enhances SQL query accuracy from natural language inputs.

A detailed analysis of language models in data integration tasks.

Exploring how large language models can improve data querying.

This study focuses on automating database tuning using past performance data.

New methods improve matching efficiency in dynamic graphs for real-time applications.

ARM-AE uses auto-encoders to quickly find high-quality association rules.

A new approach to improve data quality for machine learning models.

A database designed to extract key information from handwritten documents.

A platform for open sharing and peer feedback in scientific research.

This article discusses the importance of synthesizing research in HCI.

Structured resources to clarify scientific terms for readers and researchers.

EffOCR offers improved accuracy and flexibility in digitizing historical documents.

An open-source tool offering various string manipulation capabilities for diverse fields.

A study examining how reference lists in scholarly articles have changed over time.

A new search engine improves access to historical changes in web content.

Examining how research collaborations shape writing styles over time.

An overview of integer partitions and their sampling methods using the Boltzmann distribution.

A new algorithm reduces complexity in automata networks, aiding biological insights.

Explore winning strategies in games with entailing moves.

Exploring strong and weak spatial mixing in tree colorings and their algorithmic implications.

This study investigates edge counts in triangle-free graphs with various constraints.

Explore the role of high dimensional expansion in modern science and technology.

New algorithms enhance graph connectivity analysis for practical applications.

Researchers use graphs to simplify quantum experiments and generate entangled states.

Learn about the dangers of model poisoning attacks and their impact on federated learning.

Pipeline MoE improves efficiency in large language models with reduced communication needs.

This research presents a method to enhance communication in federated learning.

A look at GACER and GPU resource management for deep learning tasks.

A new method enhances data compression for scientific studies, improving efficiency and storage.

Discover the benefits of Hyperdimensional Computing and its HDC Compiler for efficient tasks.

Federated Learning offers a way to improve healthcare data use while protecting patient privacy.

Understanding locks and their impact on multi-threaded applications.

A new approach uses ReRAM to enhance finite state automata in machine learning systems.

A new architecture combines neural networks and security features using RRAM technology.

New methods leverage quantum systems for faster string matching.

New Ising machines improve problem-solving speed and efficiency for complex logical challenges.

Exploring how quantum computing improves robotic motion planning efficiency.

Combining traditional tech with new methods for efficient probabilistic computing.

SuperNeuro revolutionizes simulations for neuromorphic computing, enhancing AI and robotics research.

Exploring the role of light in next-gen wireless connectivity.

A look into the complexities of rational relations in computer science.

An overview of constant-rate multi-mode systems and their applications.

Exploring the unique properties of cellular automata on a heptagonal grid.

Algebraic series bridge mathematics and computer science, revealing structural relationships.

Recent improvements in algorithms enhance efficiency in solving parity games.

Recent developments in VASS address coverability and reachability challenges.

A comparison of fixed and reconfigurable communication systems in modern computing.

A look into history-deterministic vector addition systems and their applications.

This method provides consistent normal orientations for point clouds using winding numbers.

Pointersect simplifies point cloud rendering, enabling new applications across various fields.

Learn how new methods create realistic 3D videos from simple recordings.

Generate diverse 3D scenes from a single image without needing extensive training data.

A web app simplifies ultrasound image visualization for medical professionals.

Combining neural networks with physics to improve material behavior predictions.

Learn how to build a ray tracing engine using Java and TornadoVM.

A method to create realistic 3D avatar textures from one image.

This article discusses methods to enhance the security of small embedded devices.

ReRAM shows promise in improving neural network performance and efficiency.

Exploring the role of FPGAs in real-time processing and machine learning.

A new memory system combines RAM and ROM for enhanced performance in devices.

Introducing a versatile tool using reinforcement learning for improved hardware Trojan detection.

New Ising machines improve problem-solving speed and efficiency for complex logical challenges.

New tools and devices improve machine learning processing efficiency.

Learn how DSA improves data management in modern processors.

Combining VR and robotics shows promise for upper limb rehabilitation after stroke.

A new method enhances SQL query accuracy from natural language inputs.

This research compares voice and text methods for relevance assessments in information retrieval.

This model improves predictions of eye movements and enhances reading comprehension analysis.

AI tools are reshaping map creation, raising concerns about accuracy and trust.

This article discusses the importance of synthesizing research in HCI.

AI tools simplify mixing, offering new options for amateurs and professionals alike.

This study examines how DRL improves student knowledge and problem-solving skills.

This research compares voice and text methods for relevance assessments in information retrieval.

A new method for evaluating document relevance using adjusted depth pooling.

A new method for efficient and accurate document summarization.

New techniques enhance how systems predict answer types using knowledge graphs.

A look into the NeuCLIR Track and its findings in neural CLIR.

A new method enhances recommender systems by combining semantic and structural insights.

Structured resources to clarify scientific terms for readers and researchers.

Researchers develop a benchmark for assessing media bias detection tools.

Techniques to safeguard sensitive data while maintaining system performance.

New techniques are improving error correction in communication systems.

Explore the properties and applications of Sidon spaces in mathematics.

A look at improving signal strength for mobile users using Bayesian optimization.

XL-MIMO technology improves network service quality in crowded environments.

Study shows benefits of combining NOMA with double RIS for better wireless signals.

This study examines the effect of delayed feedback on finite-state channel capacity.

Machine learning improves signal detection and channel estimation in OFDM systems.

A look into how data types organize and manipulate information.

A look into the complexities of rational relations in computer science.

This article explains interval temporal logic and its significance in representing time.

This study examines how DRL improves student knowledge and problem-solving skills.

Addressing safety concerns in cyber-physical systems for reliable vehicular operation.

A fresh method tackles complex polynomial equations in cryptography.

Examining decreasing measures to prove strong normalization in lambda calculus.

Exploring the significance of trees in addressing complex problems in computing.

A groundbreaking model enhances molecular representation for drug development.

Hybrid zonotopes simplify the study of neural networks using ReLU activation functions.

New methods improve conductivity imaging using deep learning and traditional approaches.

New deep learning networks improve accuracy in medical image segmentation.

GPT-4 shows promise in enhancing neural architecture search efficiency and effectiveness.

Exploring new methods for efficient imitation learning in machines.

GCNH improves learning from complex graph structures, tackling heterophily effectively.

Team Jumbo-Visma revolutionizes energy predictions for riders using data models.

A new framework enhances geophysical studies through machine learning integration.

Researchers enhance simulation performance using GPUs for complex materials.

clotFoam transforms blood clot formation research through powerful simulations.

This article discusses how data assimilation improves scientific modeling in glaciology and groundwater studies.

Introducing a method for effective time series classification using the LLT technique.

Learn how NUBO helps researchers optimize costly evaluations using Bayesian techniques.

A new method improves solutions for complex differential equations using Haar wavelets and radii polynomials.

Blendstrings provide smooth, accurate function representations in various fields.

Exploring how stubbornness affects decisions in teamwork among artificial agents.

This project examines training agents in complex environments for effective resource management.

Exploring how autonomous agents can work together effectively despite differing abilities.

Exploring how robots can work together in uncertain conditions.

A new method enhances mesh refinement in simulations using swarm reinforcement learning.

Explore how groups can outsmart individuals through collaboration.

Research on sweepers reveals effective approaches to find evaders using teamwork.

Examining how White student presence affects Black students' access to advanced courses.

This study examines how multimedia aids understanding for novices and experts.

A new approach combines neural networks with steganography for better data hiding.

A new method uses text to improve image colorization accuracy.

Learn how to generate engaging titles and select covers for your videos.

A new model enhances image and text understanding with external knowledge.

AffectMachine-Classical generates real-time classical music to help manage emotions.

Researchers develop methods to tackle multimodal misinformation effectively.

A new model improves viewer engagement with automated movie comments.

NTNs and C-DSS promise improved connectivity for users everywhere.

New methods aim to improve internet access using Multi-Connectivity and satellite networks.

A new algorithm improves task management for edge devices in machine learning.

Learn how cloud services enhance AI performance and resource management.

Enhancing satellite communication through modified routing algorithms.

Innovative methods enhance learning efficiency across connected devices.

A look at how blockchain and AI can improve air traffic management.

New approaches to enhance communication between space assets using time-varying graphs.

ReRAM shows promise in improving neural network performance and efficiency.

A new method enhances trustworthiness in machine learning predictions for engineering.

B2Opt streamlines black-box optimization, improving efficiency and results with fewer evaluations.

New methods using graphs and machine learning improve sea surface temperature predictions.

Bubbles may hold the key to innovative music generation.

Exploring new benchmark tasks for Uncertain Quality-Diversity algorithms in robotic applications.

Researchers develop a new method using EEG data for Alzheimer's diagnosis.

New method enables robots to learn skills directly without simulations.

Examining sampling complexities in Bayesian hierarchical models promoting sparsity.

New methods improve efficiency and accuracy in stability analysis of nonlinear systems.

New methods improve wave equation solutions in physics and engineering.

New methods improve conductivity imaging using deep learning and traditional approaches.

A method to effectively approximate complex functions using trigonometric polynomials.

An overview of essential concepts in physics and molecular chemistry.

Research introduces a deep learning method to improve MRI image clarity.

This technique improves ultrasound images by using sound wave interactions.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

Discover how ZNS devices simplify SSD data management and improve efficiency.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

New techniques improve DNN efficiency and robustness for small devices.

A new technique improves performance tuning for parallel computing applications.

A look at SecDivCon, a method to protect embedded devices from common vulnerabilities.

A new benchmark suite evaluates PyTorch models for better performance insights.

A new GPU-based GEMM design offers speed and real-time error correction.

Learn how DSA improves data management in modern processors.

Testing FT-BLAS against leading libraries shows strong performance and effective fault tolerance.

Exploring how hardware acceleration improves edge computing performance.

A new method for program synthesis improves efficiency using dual reasoning approaches.

Introducing an efficient approach to simulating complex quantum circuits with non-Clifford gates.

A new approach to efficiently manage resources in software development.

Learn about logical atomicity and safe data structures in concurrent systems.

A deeper look into the role of samplers in probabilistic programming.

Introducing a type system to ensure correct strategies in programming.

A new framework enhances performance in hyperdimensional computing.

A method to help robots learn tasks by observing users.

Combining VR and robotics shows promise for upper limb rehabilitation after stroke.

IBBT enhances robot path planning by handling uncertainty efficiently.

A new method enhances robot learning by combining language with actions.

A new robot combines rolling and jumping using a pendulum system for enhanced mobility.

New simulator AutoVRL enhances AGV training through safe and efficient methods.

A method to improve LLMs in planning tasks using classical planners.

A study on how EEG signals can aid wheelchair movement for people with disabilities.

A new method enhances urban traffic efficiency using connected and automated vehicles.

A platform for open sharing and peer feedback in scientific research.

Study reveals how social media can help support those affected by gang violence.

This article examines how tweets reflect political views using advanced analysis techniques.

Examining new methods for understanding node embeddings and their significance.

Analyzing the impact of homophily and node distinguishability in GNN performance.

Examining how COVID-19 regulations fueled protests and shaped online discourse in China.

Discover how trees can enhance small farmers' earnings and protect the environment.

A novel model improves accuracy in identifying rumors online by integrating post and author analysis.

This article reviews the performance of top AI code generation tools.

A method to generate varied comments for code snippets to aid developers.

Addressing safety concerns in cyber-physical systems for reliable vehicular operation.

Introducing a method to improve software bug fixes through iterative refinement.

A new method to quickly provide answers for incomplete bug reports.

Artificial intelligence tools are changing how developers write and test code.

A study of common errors in ML stack traces to aid developers.

A new method streamlines DFD creation from Java microservices, improving security analysis.

AI tools simplify mixing, offering new options for amateurs and professionals alike.

Bubbles may hold the key to innovative music generation.

A look at new methods improving audio captioning for better accessibility.

Analyzing dataset use in voice biometrics reveals significant bias and privacy concerns.

A new method enhances speaker verification systems for overlapping voices.

Innovative methods for effective speech segment representation in processing tasks.

Enhancing TTS systems for better storytelling through effective pause placement.

AffectMachine-Classical generates real-time classical music to help manage emotions.

This article examines how ML and XAI improve symbolic computation methods.

New simulation methods enhance our understanding of spacecraft and debris interactions.

Exploring the complexities of power series and related mathematical problems.

Score enhances Scone's knowledge management through automated rules for decision-making.

A look into the complexities of testing polynomial identities.

An overview of circuit polynomials and their significance in point arrangements.