Computer Science

New method enables robots to learn skills directly without simulations.

Addressing bias and enhancing creativity in generative models.

A look at how geometric relational embeddings help analyze relational data.

Exploring unsupervised domain adaptation techniques for improved automated driving safety.

Research on user simulators to boost proactive AI communication and user trust.

New framework enhances machine learning predictions by incorporating expert insights.

This article discusses the need for cultural awareness in AI systems.

A new method enhances the identification of fake news through debiasing techniques.

Examining new methods for understanding node embeddings and their significance.

Structured resources to clarify scientific terms for readers and researchers.

Research on user simulators to boost proactive AI communication and user trust.

Exploring the importance of translating documents for better context and clarity.

A new method enhances the identification of fake news through debiasing techniques.

Exploring the role of language models in geotechnical engineering tasks.

Study explores how LLMs enhance CAD libraries and improve design tasks.

Study compares code prompts and text prompts across various language tasks.

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.

Examining the challenges of Boolean queries and sum-product problems.

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

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.

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.

New algorithms for efficient geometric set cover addressing MMGSC and MPGSC challenges.

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.

Recent improvements in algorithms enhance efficiency in solving parity games.

Examining how outside collaboration threatens blockchain systems' security.

A novel approach to enhance pose detection despite occlusion.

MixPro improves image model training, enhancing performance and robustness for Vision Transformers.

A new method uses text to improve image colorization accuracy.

MRSN enhances video action detection by integrating actor-context and actor-actor relations.

New methods improve accuracy in detecting copied video content.

Exploring unsupervised domain adaptation techniques for improved automated driving safety.

A new benchmark aims to improve cyclist safety through close pass detection.

This paper discusses a new method for robots to perceive shapes using light.

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.

The Participation Game transforms how we view AI in human conversations.

Toxic speech affects volunteer editors and Wikipedia's overall success.

A new method to evaluate gender bias in image and text generation models.

Machine learning improves detection of XSS and CSRF attacks in web applications.

This project enhances beehive health monitoring using sensors and real-time data logging.

Explore the benefits of Quantum Line Networks for secure key exchange.

A new framework uses machine learning to verify the security of cryptographic protocols.

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

A new approach to secure data analysis in businesses.

Exploring methods for organizations to share sensitive data while protecting privacy.

HyMo enhances smart contract security by detecting vulnerabilities effectively.

Research advances group-based digital signatures for secure communication against quantum attacks.

A study on how LDP affects fairness in machine learning.

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.

Examining the challenges of route finding with uncertain blockages.

Discover how distance oracles improve pathfinding even with edge failures.

A look into scheduling flexible tasks in computing systems for optimal performance.

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 new approach to handle diverse data formats effectively.

Examining the challenges of Boolean queries and sum-product problems.

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.

Study evaluates BERT models on noisy and clean texts for better classification.

A look into the h-index and its variations in measuring research influence.

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.

Research focuses on improving methods for analyzing graph cycles and paths.

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

Understanding locks and their impact on multi-threaded applications.

Introducing a framework to simplify DL and HPC kernel development for various CPU systems.

Researchers enhance particle simulations using various programming models for better performance.

Two innovative methods aim to enhance agent training in complex environments.

A new technique improves performance tuning for parallel computing applications.

Exploring quantum computing methods to improve network communication and problem-solving.

A look into scheduling flexible tasks in computing systems for optimal performance.

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.

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.

A new logic merges counting and structural properties for better reasoning.

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.

A novel method generates realistic 3D models from single images quickly.

A new method improves hand-object poses for animators, focusing on contact areas.

A new method combines low-resolution speed with high-resolution detail for facial animations.

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.

Exploring the benefits of Neural Architecture Search for Intel's Movidius VPU.

RARES provides a reliable solution for protecting IoT and CPS devices against attacks.

New techniques for deploying machine learning models in power-constrained devices.

This article discusses the need for cultural awareness in AI systems.

Exploring user feedback and mixed-initiative techniques in search technology.

Efficiently testing human-robot interactions with predictive scenario generation methods.

New dataset aids in understanding driver cognitive load to enhance road safety.

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

A new system helps visitors share stories about artworks based on emotions.

MinMaxLTTB streamlines time series data visualization for enhanced analysis.

Exploring the impact of deep learning on modern virtual architecture.

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.

A method combining pre-training and user behavior modeling enhances news recommendations.

Learn how equivalent queries can clarify neural retrieval models' decision-making process.

New system aids in detecting illegal activities during live-streams for safer online sales.

Discover how new methods enhance ranking systems while ensuring safety and efficiency.

A method combining accurate recommendations with clear explanations for users.

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

Exploring methods for organizations to share sensitive data while protecting privacy.

Examining data detection strategies in massive MIMO systems using 1-bit ADCs.

Strategies to reduce energy consumption while maintaining performance in communication networks.

Learn how WFL improves data use without compromising privacy.

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

A simple guide to monomial codes and their role in data transmission.

Exploring how predictive heterogeneity affects machine learning performance and outcomes.

An overview of how relations shape data analysis in computer science.

A novel method for verifying hyperproperties using CHC encoding.

A look into arboreal categories and their role in mathematical structures.

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

Introducing cut-restriction for simpler proof analysis across logical systems.

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

New methods improve efficiency in program analysis using the Zones abstract domain.

Exploring how quantitative algebras apply distance measures to traditional algebraic structures.

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

Explore how reinforcement learning can transform trading strategies in the financial market.

DiscoGen improves gene regulatory network analysis by cleaning noisy data for better inference.

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

Examining new methods for understanding node embeddings and their significance.

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

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

Addressing bias and enhancing creativity in generative 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.

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 work connects lattice theory and multi-agent systems for better information management.

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.

A new approach to optimize video quality and reduce data usage.

Research uses dubbed films to enhance connection between sight and sound in machine learning.

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.

FlowTransformer improves intrusion detection systems using transformer models.

New protocols enhance data transfer in smart grids for efficient energy management.

New method enables robots to learn skills directly without simulations.

A new type of spiking neuron enhances AI learning and speed.

A new method improves the identification of neural network parameters post-training.

DoE2Vec offers a fresh approach to optimization problem analysis using machine learning.

An innovative approach to creating interpretable graphs through algorithmic search.

Researchers focus on quantization to enhance neural network efficiency.

This article discusses methods to quantify uncertainty in neural network predictions.

A new method aims to create tailored models for diabetes control using genetic programming.

This paper explores mathematical models of brain function and neural networks.

Challenges and strategies for Israel's natural gas amidst rising renewable energy demands.

Techniques for accurate image reconstruction in medical imaging using non-uniform data.

Learn how materials move within our body for proper functioning.

A new method improves accuracy in solving complex mathematical problems.

A method to enhance movement precision in mechanical systems while avoiding obstacles.

A look at slope limiters and their role in numerical methods.

Exploring improvements in training methods for physics-informed neural networks.

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.

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.

Learn how macro design affects compilation times in Common Lisp projects.

Innovative methods enhance code search efficiency across multiple programming languages.

This article explains the challenges of polyglot programming and presents a new analysis method.

New method enables robots to learn skills directly without simulations.

This paper discusses a new method for robots to perceive shapes using light.

Active probing enhances interactions between autonomous vehicles and human drivers.

A new framework enhances UAV search missions in disaster zones.

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

A small humanoid robot learns soccer skills using deep reinforcement learning.

A new method improves bipedal robots' walking and positioning in dynamic environments.

A new method improves how robots learn to manipulate objects using language instructions.

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.

Graph Trend Filtering enhances the analysis of noisy graph signals effectively.

A study examining poverty's complexities in rural India through innovative data approaches.

Examining the challenges of accountability in complex algorithmic supply chains.

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.

A technique using execution traces to enhance software debugging and bug fixing.

This article examines how ChatGPT aids in collecting software requirements.

A study shows how small changes can enhance commit message quality for students.

A study on code quality in fake news tools.

This paper reviews trends and research in code quality within computing education.

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 study examines how different TTS systems improve S2ST model performance.

Research reveals how backchannels enhance machine communication.

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.