Computer Science

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

Exploring how predictive heterogeneity affects machine learning performance and outcomes.

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

A new method enhances machine learning from visual data.

A novel approach to understanding urban areas through road infrastructure analysis.

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

A new framework improves tracking of entity changes during actions.

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

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

An analysis of keyphrase generation models and their effectiveness.

Analyzing patient experiences and conditions shared on social media platforms.

New methods improve understanding of word meanings across languages.

A new approach enhances question answering using images and external knowledge.

A study on sentiment analysis for 14 African languages using Twitter data.

ChartSumm provides a large dataset for summarizing charts efficiently.

A new approach to handle diverse data formats effectively.

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.

Investigating better learning methods through parameterized PAC learning.

An overview of how pseudorandomness shapes algorithms and cryptography.

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.

The STST model enhances stock price predictions using advanced technology.

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.

A method to reduce movement of mobile sensors while covering essential targets.

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.

An overview of first-price auctions and the complexities of finding equilibria.

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

A new method improves detection of adversarial attacks in video data.

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

Exploring privacy risks in self-supervised learning due to unintended memorization.

MedGen3D framework generates realistic 3D medical images and masks for improved diagnostics.

GazeSAM uses eye-tracking tech to speed up medical image segmentation.

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

Ray conditioning improves realism in multi-view image creation without 3D models.

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.

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

Exploring how nuclear arms control can inform AI treaty verification.

Organizing cybersecurity guidelines for better implementation in healthcare organizations.

Exploring the shift towards Circular Societies for sustainable consumption and production.

Examining the challenges of accountability in complex algorithmic supply chains.

A new method improves detection of adversarial attacks in video data.

Exploring privacy risks in self-supervised learning due to unintended memorization.

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

A new method enhances cloud IAM security while ensuring privacy.

SHATTER framework improves security for smart home systems against cyber threats.

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

A method to protect cyber-physical systems by verifying critical commands efficiently.

Organizing cybersecurity guidelines for better implementation in healthcare organizations.

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 the complexities of transposition in genome arrangements.

A look at maximizing profit in item selection while considering costs and budget constraints.

New techniques in Reed-Solomon codes improve data recovery efficiency.

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

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.

KmerCo streamlines K-mer counting for efficient DNA analysis.

Reducing graph size improves learning efficiency in complex networks.

Innovative system improves search efficiency across diverse data types.

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 framework to categorize unconventional topics in science and technology.

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.

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

Learn how serverless computing can enhance online game experiences for millions of players.

DataFlower boosts serverless workflows by improving data handling and function execution.

Explore how Blockchain and IOTA enhance IoT and edge computing technologies.

Explore how groups can outsmart individuals through collaboration.

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

A new approach to prevent interleaving in text editing.

A new Sobel operator improves edge detection speed and accuracy using GPU technology.

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.

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 study on merging visual and tactile feedback for realistic interactions.

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.

CXL offers improved memory performance for modern server processors.

New architecture improves AI efficiency for low-power edge devices.

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.

This study examines user behavior with the AppTracker mobile app.

An analysis of keyphrase generation models and their effectiveness.

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

Advertisers shift to cohort-based identity to protect privacy while personalizing ads.

This framework combines search and recommendation systems for better user experiences.

A new approach enhances question answering using images and external knowledge.

This article discusses a new method for extracting information from handwritten documents efficiently.

ViT-Triplet and STIR enhance image retrieval accuracy and efficiency.

Introducing multivariate distributions for improved document relevance.

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.

This paper discusses efficient exploration methods in reinforcement learning without prior reward knowledge.

Exploring how robots can work together in uncertain conditions.

New techniques in Reed-Solomon codes improve data recovery efficiency.

Learn how to identify and measure bursts using specialized techniques.

This paper explores the integration of radar and communication systems without interference.

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.

Counterfactuals explore possible outcomes of different scenarios.

A look at how continuations streamline program compilation and control flow.

Learn how graded calculus improves resource management in programming.

This study examines how algorithms and cardiologists prioritize ECG features in heart diagnosis.

AI techniques enhance control of convection cells in heated fluids.

Researchers enhance GNNs for efficient mesh-based physics modeling.

A new method improves detection of adversarial attacks in video data.

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

Exploring how predictive heterogeneity affects machine learning performance and outcomes.

A new method enhances machine learning from visual data.

Analyzing patient experiences and conditions shared on social media platforms.

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 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 for optimizing robot tasks in warehouse operations.

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.

Innovative system improves search efficiency across diverse data types.

A new model combines image compression and machine perception for improved efficiency.

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.

Exploring the future of quantum networks and their communication potential.

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 model predicts future data using real-time analysis without extensive historical data.

FlowTransformer improves intrusion detection systems using transformer models.

A new approach for efficient stochastic optimization in various fields.

Addressing the challenges in sharing Genetic Algorithms for better research collaboration.

A new method improves mixed-integer problem-solving efficiency.

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

Researchers enhance GNNs for efficient mesh-based physics modeling.

Researchers develop data-driven methods to analyze chaotic behaviors in weather and fluid dynamics.

A new method enhances efficiency and accuracy in complex simulations.

Introducing a method that keeps values within desired limits for better numerical solutions.

A look into the Tracy-Widom distribution and its significance in random matrices.

A method using advanced kernels improves image quality from scattered data.

A new approach for efficient stochastic optimization in various fields.

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.

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.

PSqueeze helps identify root causes in online service systems efficiently.

Discover the benefits of Compressed Packed Memory Array for data storage.

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.

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

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

Combining EAI and AR to improve teamwork between humans and robots.

Researching soil behavior aids robots in safe Martian navigation.

A method for robots to rearrange objects using complex language instructions.

New methods improve force control in robots using deep reinforcement learning.

A study on efficient quadrotor movement planning methods and their performance.

A new method enhances robot safety while maintaining speed in collaborative environments.

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.

A look into the role of betweenness centrality across various networks.

Examining how research collaborations shape writing styles over time.

DeepIM offers a fresh approach to maximizing user influence in social networks.

A study on code quality in fake news tools.

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

A new method improves code similarity detection in COBOL despite limited data.

A new method enhances cloud IAM security while ensuring privacy.

This article examines AI safety and the role of software engineers.

Kaiaulu simplifies data analysis for software development researchers.

JaxPruner simplifies research on sparse neural networks, enhancing performance and flexibility.

A method to simplify learning from programming videos by extracting key steps.

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.

Research reveals new ways to manipulate sound using neural networks for music production.

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

Introducing absement, a method to measure speech sounds dynamically over time.

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.