Computer Science

This article discusses improving GNNs for analyzing financial transaction patterns.

New benchmarks improve robots' ability to assist in household tasks.

Progressive Fourier Neural Representation enhances video processing while retaining quality.

A new dataset and model improve remote sensing image analysis.

A framework to merge traditional and modern dimensionality reduction methods for model interpretability.

This article offers insights into teaching constraint programming more effectively online.

A new method enhances automatic speech recognition systems for better accuracy and adaptability.

NeuroGraph offers new data for machine learning in brain research.

A new dataset and model improve remote sensing image analysis.

A fresh approach to assess the quality of generated text in large language models.

Introducing NADO as an effective method for controlled text generation.

AgriBERT uses NLP to improve food analysis in agriculture.

Contextual biasing enhances ASR systems, improving accuracy in specialized tasks.

Essential steps for effective AI research paper submission.

A semi-automated method for better machine translation data creation.

A tool that helps researchers efficiently summarize academic papers.

Examining the significance of counting computations in complexity and cryptography.

Exploring the complexities of learning free fermion distributions in quantum mechanics.

Investigating the isomorphism problem in power graphs and its implications.

Explore the role of lattices in mathematics and their applications in computer science.

Examining how input changes affect symmetric Boolean functions and their complexity.

New findings highlight differences in randomized and deterministic algorithms.

A deep dive into the complexities of checking paths in graphs using context-free grammars.

New algorithms improve efficiency in approximating treewidth for complex graph issues.

A method to trade ETFs based on internal bar strength signals.

New methods improve the simulation of dynamic electromagnetic materials and their applications.

A new method improves deep learning training for high-resolution scientific data analysis.

A new method enhances image creation from radio telescope data.

Combining peridynamics and gradient elasticity enhances understanding of dislocations in materials.

Using invalid data enhances generative model accuracy and creativity.

Study examines BERT’s ability to predict ratings across different product types.

A new IDE aims to improve reproducibility in computational experiments.

Research unveils methods to test if crease patterns can be folded flat.

This article explores challenges and solutions in finding optimal observation paths.

A look at techniques to improve curvature estimation from noisy point cloud data.

Robots efficiently create shapes using color codes and specific movement strategies.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

This study focuses on minimizing network lengths connecting specific points in geometry.

This research examines methods to eliminate crossing segments using flips.

New model improves how knowledge graphs represent concepts and entities.

New method improves character movement in animation and gaming.

A look at how to reduce bias in expert evaluations during voting.

A novel prediction market model that gathers insights without needing verified results.

A guide on managing outsourced machine learning tasks through effective contracts.

Combining DNN surgery and edge computing enhances mobile device processing capabilities.

A look at how data collaboration can improve research outcomes.

A novel approach enhances defenses in federated learning systems against adversarial attacks.

Exploring imitation learning within mean-field games and its unique complexities.

DH-PTAM combines stereo and event cameras for enhanced mapping.

New benchmarks improve robots' ability to assist in household tasks.

A new method improves supervised learning with effective masking techniques.

Progressive Fourier Neural Representation enhances video processing while retaining quality.

A new dataset and model improve remote sensing image analysis.

A new approach enhances pooling configurations in convolutional neural networks.

Examine how sundial shapes reveal cultural and technological insights.

New method improves character movement in animation and gaming.

This article offers insights into teaching constraint programming more effectively online.

Examining how race and gender affect medical treatment and language used.

Examine how sundial shapes reveal cultural and technological insights.

This study reviews privacy policies across the USA, UK, and India.

A guide on managing outsourced machine learning tasks through effective contracts.

Discussing the vital need for AI regulation and its implications for society.

A look at how data collaboration can improve research outcomes.

This work discusses model families for decision support in dynamic situations like COVID-19.

Mobile apps often lack clarity in data collection, impacting user trust.

This article examines client-side scanning and its implications for privacy and security.

RQM enhances privacy in federated learning while maintaining model efficiency.

Machine learning techniques are reshaping cryptographic approaches to Learning With Errors.

This study reviews privacy policies across the USA, UK, and India.

Ethereum must adapt its network to meet new demands and improve transaction speed.

FDINet offers a new defense against model extraction attacks in cloud-based services.

New protocols improve privacy and model integrity in federated learning.

Research unveils methods to test if crease patterns can be folded flat.

This study investigates how negative feedback can enhance graph traversal efficiency.

Investigating the isomorphism problem in power graphs and its implications.

A new deterministic algorithm for (degree + 1)-list coloring in distributed systems.

A new method to handle interactions in temporal graphs effectively.

New graph structures improve the study of genomic diversity and data processing.

Exploring page counts in deque and rique layouts for complete graphs.

Learn how synthetic data can protect privacy in longitudinal research.

Essential steps for effective AI research paper submission.

This system simplifies data management for diverse users with varying skills.

A fresh approach simplifies handling large tables for quick question responses.

New method improves image captions with more detail and diversity.

Examining fairness across hiring, healthcare, lending, and renting using simulated data logs.

A new framework simplifies data retrieval for language researchers on TalkBank.

A new method automates BI modeling to improve accuracy and accessibility for users.

CurvPy makes curve fitting and data analysis easier for everyone.

A dataset offering insights into how the Russo-Ukrainian war is reported worldwide.

A new system allows users to search Iconclass using both text and images.

A fresh look at how disruption is measured in science today.

A look at reproducibility issues in speech processing research.

FAIR EVA improves data management practices for researchers and institutions.

This article examines the current state of software citation in scientific studies.

Analyzing research papers for accuracy through statistical methods.

This study aims to clarify repository duplications across multiple registries.

Exploring the optimal connection strategies for groups of points in trees.

Learn how model-based diagnosis identifies and fixes system issues effectively.

New hybrid methods improve solutions for complex combinatorial problems using quantum computing.

A large-scale dataset and advanced algorithm for vehicle routing efficiency.

Modeling complex biological interactions using strong regulatory graphs for better insights.

Learn how addition sequences improve efficiency in computing powers.

Explore odd colouring and its applications in graph theory.

This article examines new methods for improving periodic timetabling through split cuts.

RQM enhances privacy in federated learning while maintaining model efficiency.

New method allows easier GPU access for older software.

Optimizing agent-based models for better performance in biological simulations.

MimiC enhances federated learning by addressing the dropout issue for better model accuracy.

A new technique enhances efficiency in Machine Learning models for faster predictions.

A look at how data collaboration can improve research outcomes.

FLGo platform streamlines federated learning for researchers with flexible tools.

This article explores the environmental impact of high-performance computing systems.

Research highlights the benefits of the reducing-width Ansatz design in QNNs.

Exploring the potential of quantum neural networks in chemical and pharmaceutical research.

Using Quantum Boltzmann Machines to improve anomaly detection in cybersecurity.

Researchers are developing methods to streamline the HHL algorithm for quantum computers.

A new compact design for programmable linear optical processors enhances performance and reduces energy use.

Researchers study memristive devices to create human-like working memory in technology.

Explore how AI tools assist in coding for high-performance computing tasks.

Examining design pathways to enhance chiplet communication speeds and efficiency.

Exploring efficient methods for creating winning strategies in two-player games.

A study on learning methods for broadcast protocols in complex systems.

Analyzing the properties and implications of generalized Sem enov arithmetic.

A look into document spanners and their role in text information extraction.

A new approach improves SAT solver efficiency through better communication between modules.

A look into the complexities of ensuring distributed systems operate correctly.

Discover efficient methods for string handling using DAWGs and suffix trees.

A look into how synchronizing automata enable systems to reset states effectively.

New method improves character movement in animation and gaming.

New methods improve the visualization of complex scientific data.

New method improves color manipulation for artists and designers.

Introducing a new glove design for accurate hand tracking using ultrasonic sensors.

A new method for smooth transitions between triangle meshes in computer graphics.

MySemCloud improves word clouds by enhancing meaning and layout for better understanding.

A new method enhances visual effects by simplifying actor-background separation.

New method blends human shapes to predict movements accurately.

A new platform assesses deep learning accelerator performance for safe autonomous vehicles.

MRFI offers a flexible approach to simulate faults in neural networks, enhancing reliability.

A new hardware architecture improves scene text detection efficiency and accuracy.

This framework streamlines electronic design processes for engineers.

Exploring energy harvesting systems and intermittent computing for sustainable IoT solutions.

Examining the rise of spiking neural networks in artificial intelligence.

A look at techniques to speed up Graph Neural Networks in complex datasets.

Explore the significance of locomotion technology in enhancing VR experiences.

A new approach to changing emotions in speech amidst real-world noise.

This study reviews privacy policies across the USA, UK, and India.

This study examines how demographics shape views on conversational AI safety.

This article examines how contributors argue and disagree in Wikidata discussions.

New benchmark assesses language models' understanding of human thoughts and feelings.

Language models enhance collaboration and understanding in scientific simulations.

Introducing a new glove design for accurate hand tracking using ultrasonic sensors.

Examining the role of advanced technologies in modern building processes.

Essential steps for effective AI research paper submission.

A tool that helps researchers efficiently summarize academic papers.

New methods improve the visualization of complex scientific data.

A new method improves predictions in session-based recommendation systems.

A new model enhances document retrieval and integration efficiency.

A new framework enhances local recommendations by using contextual data.

Discover new methods improving the efficiency of document retrieval systems.

A new method enhances multi-criteria recommendations using graph neural networks.

Exploring how RIS and edge computing enhance IoT device performance.

A study on optimizing data fusion using non-orthogonal multiple access techniques.

A fresh approach to train models using corrupted datasets.

New methods enable handheld devices to connect with multiple satellites for better communication.

A new method enhances multi-criteria recommendations using graph neural networks.

A look into Beyond Diagonal Reconfigurable Intelligent Surfaces and their impact on wireless communication.

Examining the impacts of federated learning on model generalization and data privacy.

Examining the connection between uncomputable sets and their infinite subsets.

A visual approach to grasping programming concepts using string diagrams.

A new approach to verify neural networks' global behaviors for reliable performance.

Exploring efficient methods for creating winning strategies in two-player games.

Learn how model-based diagnosis identifies and fixes system issues effectively.

A deep dive into EAMs and their role in programming languages.

Analyzing the properties and implications of generalized Sem enov arithmetic.

Explores the link between the chase algorithm and sequent calculus in query answering.

A look at how algebraic simplifiers enhance software reliability.

A look at how AdaGrad improves optimization in machine learning tasks.

AI technology is transforming how doctors diagnose autoimmune diseases using immunofluorescence slides.

This article discusses improving GNNs for analyzing financial transaction patterns.

A new method improves supervised learning with effective masking techniques.

Progressive Fourier Neural Representation enhances video processing while retaining quality.

Discover how Deep Fusion improves training efficiency for large language models.

A framework to merge traditional and modern dimensionality reduction methods for model interpretability.

A new approach enhances learning in partially observable environments.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

Optimizing sparse tensor operations for improved performance and efficiency.

A deep dive into testing practices for interval arithmetic libraries.

This article examines how unpredictability affects social behavior and norms.

Loopy adapts its shape through local interactions, mimicking biological systems.

Drone swarms offer efficient solutions for transporting heavy loads in various industries.

Two methods enhance robot teamwork without needing global information.

This work reveals the benefits of decentralized communication in games with many agents.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Examining the critical impact of data on AV decision-making processes.

A new strategy to manage MAPs in 5G networks for better service.

A new dataset and model improve remote sensing image analysis.

Research shows effective ways to compress cataract surgery videos for better storage management.

Research explores BERT's potential in bar-level music analysis.

A new model improves melody harmonization by considering emotional factors.

A new method improves video compression while maintaining quality and efficiency.

A new framework reduces manual labeling costs in food image segmentation.

This framework streamlines data processing for better recommendation systems.

A new method speeds up video encoding while maintaining quality.

Learn how BLE and PRP enhance indoor positioning solutions.

Ethereum must adapt its network to meet new demands and improve transaction speed.

This study examines ray-tracing models for industrial wireless communication efficiency.

Combining DNN surgery and edge computing enhances mobile device processing capabilities.

Self-Supervised Intrusion Detection offers real-time security improvements for IoT systems.

DOF-ID enhances threat detection without compromising data privacy.

P4Green aims to cut energy use in data centers with programmable technology.

Drones equipped with LoRa technology enhance search-and-rescue operations in challenging environments.

New methods improve efficiency and accuracy in training transformers with low-precision arithmetic.

New methods tackle challenges in neural networks using memristor technology.

Understanding machine learning models is crucial for trust and accountability.

QNNRepair improves the accuracy of neural networks after quantization.

The ELM neuron model simplifies understanding complex brain functions with fewer parameters.

CIMulator aids in optimizing memory devices for better AI performance.

A new neuron model improves local learning in neural networks.

Explore the differences between ANN and SNN in processing data.

Generalized SBP operators enhance numerical modeling of complex problems.

New modeling methods promise clearer images for better medical diagnostics.

This article presents an efficient method to minimize integral functionals in various fields.

RNA velocity aids in understanding how cells evolve by analyzing gene expression.

A new method improves temperature estimation in materials without direct measurement.

Innovative technique improves efficiency in fluid flow and wave analysis.

A novel framework improves accuracy and efficiency in modeling binary-fluid interactions.

A new approach enhances thermal flow calculations in solar receivers.

This framework simplifies the development of Linux kernel schedulers.

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

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

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.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

New methods improve the visualization of complex scientific data.

Optimizing agent-based models for better performance in biological simulations.

New policies enhance performance in complex cloud environments.

Exploring the benefits of using different-sized arithmetic units in computing systems.

New methods enhance MPI Alltoallv communication for improved FFT performance.

An overview of transaction workloads and their role in financial systems.

Discover how FPGA technology improves high-precision matrix multiplication.

A new approach improves performance in diverse computing systems.

This article discusses resource leaks and the benefits of automatic inference techniques.

A visual approach to grasping programming concepts using string diagrams.

Learn how the Actor-Reactor Model enhances reactive programming.

Explore how AI tools assist in coding for high-performance computing tasks.

A new method enhances verification tools for non-linear arithmetic in complex programs.

A look at how algebraic simplifiers enhance software reliability.

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

Rockmate automates memory optimization for training large deep learning models efficiently.

DH-PTAM combines stereo and event cameras for enhanced mapping.

New benchmarks improve robots' ability to assist in household tasks.

Analyzing the stability of robots with asymmetric stiffness matrices in contact tasks.

A new platform assesses deep learning accelerator performance for safe autonomous vehicles.

RoboCat learns and adapts to perform various tasks efficiently.

New research enhances wheeled robots' ability to navigate uneven landscapes effectively.

Introducing a new approach for managing mechanical systems using sliding mode control.

Introducing a new glove design for accurate hand tracking using ultrasonic sensors.

New method creates large, detailed graphs for diverse applications.

Examining online discussions and misinformation related to the Russia-Ukraine conflict.

A look at ERRA’s approach to explainable recommendations.

A new method enhances multi-criteria recommendations using graph neural networks.

A study of Chicago's taxi rides reveals neighborhood connectivity and travel trends.

A new method for detecting fake news through focused analysis.

Exploring how position and language affect persuasion in online conversations.

A fresh approach improves identification of fake accounts on social media.

Mobile apps often lack clarity in data collection, impacting user trust.

This article discusses resource leaks and the benefits of automatic inference techniques.

An overview of what makes software systems complex and why definitions matter.

Research focuses on developing predictive tools that explain their decisions.

New views help code reviewers manage personal data in software efficiently.

A new approach helps researchers create reproducible datasets from software repositories.

A proposed framework aims to tackle flaky tests in software development.

A method to detect systematic failures in multimodal models before real-world use.

A new model improves sound diffraction in virtual environments.

Contextual biasing enhances ASR systems, improving accuracy in specialized tasks.

This study presents a new system for detecting pronunciation errors in language learners.

The Q A system uses self-supervised learning for innovative music rearrangement.

A new method enhances text-to-speech quality and emotional expression.

Techniques to reduce model size while preserving performance are emerging.

New model mimics analog phasing effects with improved learning techniques.

A new model reduces size while improving multilingual speech recognition.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

An overview of complex projective hypersurfaces and their significance in mathematics.