Computer Science

A new method improves image similarity across diverse datasets.

A new model enhances search and recommendations for users with limited data.

ShadowNet combines classical shadows and neural networks to enhance quantum system learning.

PDFTriage enhances LLMs' ability to answer questions from structured documents.

A system improving deep learning performance in web applications through real-time code generation.

This article examines how AI can assist in diagnosing sepsis more effectively.

A voice assistant simplifies health communication for older adults and providers.

Two innovative subsampling methods enhance the performance of Knowledge Graph Completion.

ProToD enhances task-oriented dialogues by anticipating user needs for improved efficiency.

PDFTriage enhances LLMs' ability to answer questions from structured documents.

A voice assistant simplifies health communication for older adults and providers.

Two innovative subsampling methods enhance the performance of Knowledge Graph Completion.

This research examines effective methods for identifying covariate drift in text data.

This article discusses the importance and obstacles in fact verification systems.

CulturaX offers a multilingual dataset of 6.3 trillion tokens for better language technology.

Research delves into how AI interprets fairness and morality in language.

Exploring nonnegative matrices and their role in optimization and communication.

Research advances algorithms for finding irreducible factors of multivariate polynomials.

New techniques improve randomness extraction from polynomial sources, enhancing cryptographic security.

A look into how quantum circuits compute and their limitations.

This article examines the difficulties in reversing generative models in AI.

Research develops methods to verify data integrity through agreement tests.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Explore the basics and advantages of quantum and probabilistic computers.

New models improve identification of Ponzi schemes in cryptocurrency.

This study presents an effective approach to analyze nonlinear rods in various applications.

Introducing Importance-aware Co-Teaching for enhanced design optimization.

A novel method for improving design optimization using multiple models.

Analyzing causal relationships is key for accurate energy consumption predictions in building design.

Quantum computing enhances engineering efficiency, especially in analyzing structures and materials.

A marketplace approach to streamline electronic contracts for cloud services.

This article discusses modern methods for minimizing energy in engineering systems.

This study explores the relationship between graphs, crossings, and signed permutations.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look into improved clustering methods using multi-swap local search.

This article reviews effective search strategies for different terrains and their implications for autonomous systems.

A method to separate two groups of points with limited lines.

A method to compare smooth curves in various applications.

A study on upward point-set embeddings in directed graphs with special focus on bends.

Examining how drones and trucks reshape delivery methods for efficiency.

Discover how agent cooperation enhances resource allocation and system performance.

Robots learn human goals through active inverse learning for safer interactions.

A new system improves avatar movement accuracy and resource management in virtual worlds.

A study on how LLMs make decisions in social dilemmas.

A new algorithm simplifies decision-making in online selection problems.

A new model for stablecoins aims to enhance reliability and encourage investment.

Using game theory, robots coordinate movements in narrow areas to avoid collisions.

This article examines how players coordinate and trust in communication games.

A cost-effective method for capturing high-quality HDR images using polarization technology.

RingMo-lite improves remote sensing image analysis with efficiency and accuracy.

A framework using random masking enhances prediction of vehicle and pedestrian movements.

A system that provides real-time health monitoring for honey bee colonies.

New method improves movement predictions in 3D environments using contact points.

A new method improves image similarity across diverse datasets.

A new method uses LiDAR data for better 3D object detection.

New methods aim to enhance imaging of fetal heart conditions.

Examines how recommendation systems shape user perspectives and public discussions.

Examining how social media influenced information sharing in the pandemic.

Research delves into how AI interprets fairness and morality in language.

A study on how LLMs make decisions in social dilemmas.

AI initiative aims to modernize court transcription and translation practices.

Research reveals connections between individuals in photos from the Emmy Awards.

Examining how dark patterns complicate Amazon Prime's cancellation process.

A new tool helps first-year students develop essential abstraction skills in computer science.

This method enhances recommendations while protecting user data privacy.

Introducing a framework for better application isolation and resource sharing.

Exploring differential privacy methods for secure data insights.

A study on learning Gaussian mixtures while protecting individual data privacy.

New models improve identification of Ponzi schemes in cryptocurrency.

A new method to enhance CAN bus security using Graph Convolutional Networks.

This article discusses techniques to analyze specific areas within integrated circuits.

Learn about the risks of using plugins on LLM platforms.

Exploring the intersection of art and math in graph threading.

A study on learning Gaussian mixtures while protecting individual data privacy.

Group testing offers a streamlined approach to identify defects in various fields.

A new algorithm aims to keep changes minimal in matroid intersections.

A new algorithm simplifies decision-making in online selection problems.

Research advances algorithms for finding irreducible factors of multivariate polynomials.

Exploring federated learning techniques to enhance communication efficiency while preserving user privacy.

A look into methods for aligning graphs and their importance in various fields.

A new approach to manage RDF data across edge devices efficiently.

This article discusses a framework for managing privacy in multi-analyst scenarios.

A new algorithm offers improved data clustering performance with simplified parameters.

A study on user understanding of negation in data patterns.

Examining schema change issues in live programming and local-first software.

This system improves how users move computational notebooks between devices.

Addressing data inconsistencies and query complexities in database systems.

Learn how new techniques enhance the verification and discovery of denial constraints.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

Exploring how citation patterns reveal true research impact beyond traditional metrics.

Open data enhances collaboration and knowledge sharing in mathematical research.

A new metric, Academic Midas Touch, measures research impact through citation analysis.

Novelty and diversity in research paper recommendations can foster interdisciplinary collaboration.

New approaches enhance the accessibility of cultural heritage resources for all users.

Introducing a new index for fair measurement of research journal impact.

Techniques to streamline searching satellite images using clustering and dimensionality reduction.

Proposing six standards for effective graph clustering without distance information.

A new algorithm simplifies decision-making in online selection problems.

A model combines deep learning and rule-based systems for clear decision-making.

Hyperbolic neural networks enhance tree structure representation in data science.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Explore the game dynamics of Cops and Robbers on graph structures.

A fresh approach for using neural networks with complex data structures.

Methods to balance task distribution among resources for optimal performance.

A new approach to manage RDF data across edge devices efficiently.

Exploring ways to improve data sharing while ensuring user privacy.

Exploring Julia's capabilities in the Gray-Scott diffusion-reaction model for HPC.

A new caching system enhances resource use and adapts to changing workloads.

A new method improves data visualization with minimal memory use.

New tools are improving the analysis of large property graphs.

A look at the computing continuum's features, challenges, and potential for users.

FedGKD enhances federated learning for Graph Neural Networks by optimizing task feature extraction.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

Underlayer networks improve communication and efficiency in modern manufacturing.

This study connects presence and reaction time in Mixed Reality.

This study explores new ways to assess blockchain applications using machine learning.

New technologies improve monitoring of driver alertness to enhance road safety.

An overview of prompt types that enhance language model performance.

A call for ethical practices in technology for all backgrounds.

New methods enhance communication in multi-agent systems through choreographies and posets.

Learn the essentials of regex for effective string manipulation and data handling.

An overview of Topological Quantum Field Theory and its connections to mathematics and physics.

Explore how agents can operate effectively in unpredictable environments through synthesis.

This article examines methods to classify words using non-deterministic automata.

Explore automatic and conditional complexity in strings and their applications.

Exploring how robots can work together effectively using hierarchical task management.

A look at simplified structures for efficient text handling.

MolSieve helps researchers analyze complex molecular dynamics simulations efficiently.

New method improves surface extraction from neural unsigned distance fields.

A look into improving human motion generation from text descriptions.

A new method improves data visualization with minimal memory use.

A new approach to surface modeling using neural networks.

A new method improves view synthesis by separating reshading and pixel relocation.

A new dataset enhances 3D modeling of hands holding objects from videos.

A new method enhances detail and quality in 3D modeling through LoD-NeuS.

Using large language models to streamline hardware design verification processes.

Introducing Spatz, a new compact processing unit designed for modern computing demands.

New framework enhances performance of encrypted data processing using GPUs.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Using GPUs to speed up reservoir simulations can improve efficiency and reduce computation times.

A new architecture enhances energy efficiency and speed in large integer multiplication.

TroLL combines logic locking with hardware Trojans, posing serious security risks.

A study on machine learning attacks and effective countermeasures in network systems.

MolSieve helps researchers analyze complex molecular dynamics simulations efficiently.

This article examines how AI can assist in diagnosing sepsis more effectively.

A voice assistant simplifies health communication for older adults and providers.

A framework to create diverse natural language datasets for data visualization.

Discover how AI can improve planning and execution in data analysis.

Study explores how to improve AI decision explanations for better patient understanding.

Exploring gesture recognition to improve smartphone interaction through motion sensors.

Explore how dark patterns manipulate users online and the need for awareness.

A new model enhances search and recommendations for users with limited data.

This method enhances recommendations while protecting user data privacy.

Exploring effective ways to choose dense retrieval models for unlabeled data.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

This article discusses frame length bias in text-video retrieval and a new approach to address it.

This research addresses fairness in recommendations, enhancing visibility of cold items.

Learn how LLMs enhance sequential recommendation systems for better user suggestions.

Examining fairness metrics in grid layouts for recommender systems.

Movable antennas enhance wireless systems, improving data transfer speeds and performance.

A look at the significance and design of 2D-ZCAQs in communication systems.

A new method improves cross-complementary pairs for better communication performance.

Exploring nonnegative matrices and their role in optimization and communication.

A new approach to improve clustering accuracy and efficiency through Generalised Mutual Information.

Learn how robust tensor decomposition improves data analysis amidst noise and outliers.

A study on learning Gaussian mixtures while protecting individual data privacy.

JCAS merges communication and radar for enhanced mobile network performance.

Exploring how logical formulas aid machine learning.

Discover a new approach to improve evaluation efficiency in lambda calculus.

An overview of the external strategy in strong call-by-value programming.

Reversible programming languages pave the way for efficient computing solutions and quantum technology.

A look into how children deduce their muddy status through reasoning.

Explore innovative ways to define and verify while loops in Coq.

A study on the substitution lemma in lambda calculus with explicit substitutions.

A thought experiment illustrating how children share information and learn together.

A framework using random masking enhances prediction of vehicle and pedestrian movements.

Analyzing how selection bias affects personalized loan pricing strategies.

Exploring the synergy between quantum computing and machine learning for enhanced problem-solving.

A new method improves image similarity across diverse datasets.

Robots learn human goals through active inverse learning for safer interactions.

ShadowNet combines classical shadows and neural networks to enhance quantum system learning.

PDFTriage enhances LLMs' ability to answer questions from structured documents.

New methods aim to enhance imaging of fetal heart conditions.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

New method enhances predictions using Gaussian processes on unknown data structures.

New algorithm enhances saving and loading processes for complex simulations.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Examining how autonomous vehicles learn to drive together and compete effectively.

Introducing CRAMP, a method improving agent navigation in crowded environments.

This article discusses self-healing distributed optimization for effective network resilience.

Explore how multi-agent systems enhance manufacturing performance through real-time data management.

Managing EV charging to stabilize the power grid while ensuring driver privacy.

New evaluation methods for large language models in healthcare.

New AI methods enhance air combat training with hierarchical decision-making.

A marketplace approach to streamline electronic contracts for cloud services.

A new method improves image compression for diverse image types.

This article discusses frame length bias in text-video retrieval and a new approach to address it.

A new method improves how tech detects human behavior in group settings.

Learn how LP-CLIP enhances the robustness of multi-modal models like CLIP.

A ground-breaking dataset aids the study of K-pop lyric translation.

AVMIT offers researchers insights into how sound and vision relate in action recognition.

A new method improves detection of fake audio in voice recognition systems.

This study examines how cropping can improve video recall by focusing on visual saliency.

Learn how Wireless Sensor Networks can enhance home monitoring and automation.

MPTCP improves data communication speed and reliability using multiple network paths.

A new system improves avatar movement accuracy and resource management in virtual worlds.

Learn how new techniques improve mobile data transfer during handovers.

Learn how the REVEAL protocol secures wireless networks from MiM attacks.

Underlayer networks improve communication and efficiency in modern manufacturing.

A look at techniques to boost online service performance.

Two innovative DNS records improve security and speed for online services.

Exploring how robot swarms navigate obstacles in unpredictable environments.

Research delves into how AI interprets fairness and morality in language.

This study automates the classification of scientific texts with the right ontologies.

A new approach to optimize deep neural networks on resource-limited devices.

A new model enhances predictions for magnetic hysteresis in materials.

A new method enhances feature selection by modifying shadow features with noise.

A new approach using community assembly graphs to study lexicase selection in genetic programming.

A new approach enhances deep learning models for efficient use in wearable tech.

A new method simplifies predictions for elastoplastic materials experiencing cyclic stress.

This work discusses numerical methods for simulating open quantum systems and their effectiveness.

New methods improve wave handling in unbounded spaces using advanced absorbing boundary conditions.

A new method minimizes boundary resonance errors in multiscale material behavior analysis.

A new approach enhances SIR models for better epidemic analysis.

Examining how fluids swirl near surfaces and its engineering implications.

Explore how interest rates influence commodity market dynamics and pricing.

Exploring the impact of local discrepancy and functions on QMC techniques.

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.

This article reviews Linux API usage in various applications and highlights key findings.

A look at new systems improving insulin delivery and blood sugar monitoring.

A look into the advancements and challenges in modern storage systems.

Memory fragmentation affects computer performance, especially in demanding environments.

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.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

Research on predicting training time for machine learning models using FPTC.

This study explores new ways to assess blockchain applications using machine learning.

A novel approach estimates application-level power use without intrusive methods.

A clear look at queueing networks and their significance in various systems.

FP8 offers a compact solution for training large AI models with improved efficiency.

New engine improves efficiency in 3D point cloud processing with Sparse Convolution.

New methods enhance speed and efficiency in 3D rendering.

CXL improves device connections, enhancing memory sharing for better computing.

A look at how stochastic memoization improves probabilistic programming.

Exploring Julia's capabilities in the Gray-Scott diffusion-reaction model for HPC.

An analysis of CUDA and SYCL in protein database searches.

A new approach enhances the training of surrogate models in software development.

Examining schema change issues in live programming and local-first software.

New methods improve efficiency in analyzing complex software code.

Explore how red-black trees efficiently handle ordered sequences for parallel algorithms.

This study highlights programmatic approaches to improve math problem-solving efficiency.

A framework using random masking enhances prediction of vehicle and pedestrian movements.

Research aims to enhance cobot safety through innovative control methods.

Outram improves robot positioning with a new approach to LiDAR localization.

Researchers develop robots that learn table tennis through human-like demonstrations.

A new framework enhances efficiency in multi-robot coordination and task execution.

Discover how improved measurement techniques enhance robot perception and performance.

The Director system enhances robot behavior by streamlining task transitions and increasing adaptability.

This study explores motion prediction through fabric and rigid sensor technologies.

Examines how recommendation systems shape user perspectives and public discussions.

Examining how social media influenced information sharing in the pandemic.

An overview of fishing practices, data challenges, and sustainability in the Azores.

This study examines user interactions and opinions on vaccination in online forums.

Introducing a protocol for privacy-preserving link prediction in distributed graphs.

A decentralized method improves data collection with mobile devices.

A new method to generate urban flow data in cities without historical information.

A deep dive into advertising rules on Twitter reveals significant non-compliance.

Using large language models to streamline hardware design verification processes.

A novel approach to fixing software bugs using language models for donor code selection.

EditAS method enhances assertion generation for better unit testing outcomes.

Explore how Continuous Integration enhances software quality and team collaboration.

Testaro simplifies accessibility testing by combining multiple tools into one streamlined process.

EGFE enhances the process of organizing UI design elements for better code quality.

A focused approach to quickly identify software bugs through targeted testing.

LogShrink offers improved compression for costly log data storage.

A study examines the effectiveness of automated sound maskers in public spaces.

Graph neural networks improve speaker recognition accuracy by analyzing voice sample relationships.

A study evaluating emotion recognition in speech models across six languages.

AffectEcho model enhances emotional expression in AI-generated speech.

This study enhances G2P models by focusing on error-prone areas during training.

Discover methods that improve accuracy in formant tracking for speech analysis.

Researchers develop speech-based methods for more accurate Parkinson's disease assessment.

Meta-SELD enhances sound event localization in diverse environments.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

JABBA enhances time series data analysis through consistent symbols and parallel processing.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

Discover how agent cooperation enhances resource allocation and system performance.

Robots learn human goals through active inverse learning for safer interactions.

Exploring how robot swarms navigate obstacles in unpredictable environments.

New techniques improve power flow learning for efficient electricity delivery.

A new framework for assessing the stability of differential-algebraic systems under uncertainty.

Exploring how transformers adapt to predict outputs in unknown systems.

This research enhances methods for identifying parameters in ordinary differential equation models.

This article discusses self-healing distributed optimization for effective network resilience.