Computer Science

Drones improve data gathering from sensors in various challenging environments.

Addressing bias in AI models to improve patient care in radiology.

Examines how different node types affect Graph Neural Networks' performance.

A computer model simulates how the prefrontal cortex manages tasks and memory.

This article discusses Egocentric Planning for robots to enhance task performance.

This research focuses on enhancing language model responses through dynamic temperature adjustments based on source relevance.

New dataset improves understanding of legal texts across multiple languages.

New method enhances Transformers' ability to handle varying sequence lengths efficiently.

A dataset for evaluating semantic similarity in Spanish song lyrics.

This research focuses on enhancing language model responses through dynamic temperature adjustments based on source relevance.

This study presents a method to convert hate speech into respectful language.

New dataset improves understanding of legal texts across multiple languages.

This article examines how media shapes public views on climate change.

A method to enhance recommendations through synthetic queries from user interaction data.

New method enhances Transformers' ability to handle varying sequence lengths efficiently.

Sen2Pro improves sentence embeddings by incorporating uncertainty, enhancing NLP tasks.

A look at the role and efficiency of dictionaries in data management.

A look into the Steiner Tree problem and its applications across various fields.

An overview of quantum Kolmogorov complexity and its role in quantum correlations.

A new method improves the efficiency of NMPC using adaptive search space strategies.

A look into how agents form expectations and reason about their environment.

A look into the challenges and applications of the minimum generating set problem.

Exploring methods to ensure reliability and clarity in AI decision-making.

Exploring complexity measures and efficiency in read-once branching programs.

A new computational approach enhances the modeling of mechanical responses in brain tissue.

New methods aim to automate labeling of financial numbers in reports.

A new approach to accurately predict stress in complex materials.

AircraftVerse offers a vast collection of aerial vehicle designs and performance metrics.

A method to improve predictions of human reactions using selective data sampling.

Streamline analysis of complex systems using data and advanced modeling techniques.

Researchers develop models to improve liver surgery outcomes through better blood flow prediction.

Researchers develop a generative model to improve protein folding predictions.

A look into the Steiner Tree problem and its applications across various fields.

A new method enhances how we compare geometric graphs efficiently.

A novel approach to efficiently list paths on polyhedral surfaces.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

A new algorithm outperforms existing methods for point-in-polygon checks.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the intricacies and challenges of disk packing in geometry.

Explore an optimization challenge in connecting locations using Steiner points.

Discover the role of communication in enhancing auction outcomes.

Discover new methods for fairly dividing resources among individuals and groups.

This study analyzes how players' risk levels affect rewards in competitive environments.

Analyzing how small groups protect against competition.

This article discusses designing systems for better decision-making in multi-agent environments.

An analysis of peer review rewards to improve quality and collaboration.

MEX framework enhances exploration and decision-making in online reinforcement learning.

A look at how principals and agents can work together effectively.

New techniques enhance image matching in medical analysis and diagnostics.

Study assesses privacy risks of generative models in medical data sharing.

A new model enhances accuracy in diagnosing brain tumors using deep learning techniques.

Framework aims to protect patient privacy in sharing synthetic medical data.

A fresh look at improving data processing with modular networks in AI.

This article discusses Egocentric Planning for robots to enhance task performance.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

A study on enhancing the detection of a unique coronary artery variant.

Addressing bias in AI models to improve patient care in radiology.

This research focuses on maintaining fairness in algorithms through continuous auditing methods.

A fresh framework for ensuring fairness in machine learning clustering.

A study on how YouTube videos spread across Reddit communities.

This study examines how AI can enhance tagging in mapping projects.

A method to limit harmful content exposure on digital platforms through graph analysis.

A look into the features, benefits, and challenges of Web 3.0.

Robot Patrol helps visually impaired individuals navigate indoor spaces safely.

Framework aims to protect patient privacy in sharing synthetic medical data.

A new method improves privacy and accuracy for high-dimensional data.

Exploring how quantum technology boosts safety in digital transactions.

Exploring generative AI's dual role in enhancing and challenging network security.

Learn how to use number systems for hiding messages.

A method to secure sensitive data in machine learning using information flow control.

This article discusses data privacy risks and detection methods in federated learning.

Learn how Sustainable Adaptive Security protects smart homes from emerging threats.

A look at the role and efficiency of dictionaries in data management.

A look into the Steiner Tree problem and its applications across various fields.

Learn about efficient methods for calculating Personalized PageRank Vectors in large graphs.

New algorithms improve speed and efficiency in handling sparse convolution.

A new algorithm efficiently updates shortest paths in changing networks.

A method to limit harmful content exposure on digital platforms through graph analysis.

A new method improves speed and accuracy in data searches using binary codes.

Learn how to make better decisions when faced with uncertainty.

Path queries play a vital role in extracting meaningful data from graph databases.

A method to improve data quality monitoring in business data pipelines.

Learn about methods to manage data inconsistencies effectively.

DashQL simplifies data analysis by combining SQL and visualization.

A new method improves spatial data partitioning for faster processing.

ScienceBenchmark offers a new benchmark for complex scientific databases.

A new method speeds up database queries using machine learning techniques.

This method balances fairness and project needs in team selection.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

A new index offers a detailed view of ongoing research contributions.

Investigating prompt-based methods for improving language models in research data retrieval.

Using Transformers to analyze and categorize research papers for better insights.

AI tools aim to improve access to LaTeX documents for visually impaired users.

A look at GNNs and their role in solving complex optimization problems.

Learn how stack and queue numbers shape graph arrangements.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

Exploring machine learning methods for network optimization challenges.

This article discusses directed 1-separations and their role in infinite digraphs.

A look into the properties and applications of extremal families in mathematics.

An overview of generalized polymorphisms and their role in Boolean function analysis.

This article examines methods to show certain number sequences are positive.

GPT-FL framework improves federated learning by using synthetic data.

A look into Narwhal and Bullshark for faster consensus and reliability.

A new approach predicts lossy compression performance for scientific datasets, improving data management.

Disaggregated memory systems optimize resource usage in high-performance computing environments.

Exploring how agents can improve decision-making through collaboration.

Exploring new methods to improve decentralized learning efficiency while ensuring data privacy.

A powerful platform designed for easy and fast data processing.

JOSS optimizes energy use in task-based applications by considering CPU and memory together.

TornadoQSim offers a modular framework for efficient quantum circuit simulations.

A new method enhances how we recognize actions in video using reservoir computing.

Explore how edge AI is transforming wireless communication systems for better efficiency and accuracy.

This study combines classical and quantum methods for improved image segmentation.

Exploring how RNS can boost efficiency and precision in deep learning.

Photonic networks harness light for faster AI processing and energy efficiency.

A new method improves prediction reliability in neural networks using spintronics.

This paper discusses flexible programming methods for dynamic qubit arrays in quantum computing.

This article explores the relationship between quotients and lattices in regular languages.

Explore how fractals and process systems relate through self-similarity and iterative processes.

A look at how different structures interact in formal languages.

A method for guiding autonomous systems while ensuring safety and compliance.

Examining the relationship between attributed and top-down tree transducers.

Discover how Wheeler automata enhance efficiency in data processing and pattern matching.

New techniques improve real-time monitoring for critical system performance.

Explore how invariants and home spaces help in system analysis.

New techniques enhance image matching in medical analysis and diagnostics.

This method simplifies CAD design by generating variations from text prompts.

New tool creates custom passive grippers for various object shapes.

A method to automate CAD model matching between different systems for better teamwork.

A new method enhances 3D object modeling from photos with improved accuracy.

GarmentCode simplifies garment design and pattern creation for better fit and creativity.

A new method enhances image generation using minimal object views.

A new method to improve information retrieval in academic literature.

SAFT enhances training speed and efficiency for noisy deep learning models.

Introducing a novel architecture for classical control systems in quantum computers.

Reassessing how we classify and understand sequential circuits.

A look at Mixed-TD for optimizing neural networks on hardware.

A new framework improves text generation speed through better memory allocation.

ColibriUAV enhances drone performance with advanced cameras and efficient processing.

Utilizing Large Language Models to optimize DNNs for small devices.

NetGAP automates network design for complex systems, enhancing adaptability and efficiency.

A new approach enhances activity recognition using wearable devices without extensive labels.

New framework enhances AI's ability to work with unfamiliar humans.

A tool for analyzing night-time light data to aid urban planning and research.

Social robots may provide companionship for those feeling lonely.

This article discusses the importance of timing in VR cognitive studies.

A study on how generative AI can capture the identity of cities.

Using AI to improve load safety checks in logistics.

DashQL simplifies data analysis by combining SQL and visualization.

This article discusses methods to reduce popularity bias in recommendation tools.

A dataset for evaluating semantic similarity in Spanish song lyrics.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

A method to enhance recommendations through synthetic queries from user interaction data.

GFN4Rec enhances user engagement through diverse and high-quality recommendations.

GenSpectrum Chat offers quick, clear answers about COVID-19 variants for everyone.

A new framework mimics user actions using language models for better technology interactions.

A new model improves text retrieval efficiency and effectiveness using pseudo-queries.

Discover the role of communication in enhancing auction outcomes.

A new framework enhances content delivery in busy urban areas.

Methods for secure messaging in the presence of potential threats.

Researchers are improving DNA storage methods for efficient data management.

Exploring the impact of RIS and NOMA on wireless communication efficiency.

A new method improves active user detection in IoT communications.

Improving signal recovery methods using Generalized Linear Systems in wireless communications.

This article discusses the role of RIS in improving wireless communication performance.

This article discusses designing systems for better decision-making in multi-agent environments.

A new framework for assessing safety in autonomous systems using runtime assurance.

A look into formalizing mathematical proofs related to regular primes.

New methods streamline the creation of communication protocols, boosting efficiency and correctness.

A study on induction methods and their limitations in proving properties of Lisp-like lists.

This article explores how bounded epistemic logic models knowledge limitations.

A look into how agents form expectations and reason about their environment.

Explore how fractals and process systems relate through self-similarity and iterative processes.

GC-Flow improves clustering in graph data through integrated classification and clustering techniques.

A new model enhances accuracy in diagnosing brain tumors using deep learning techniques.

A new method merges DNNs and GPs to enhance prediction accuracy and uncertainty estimation.

Addressing bias in AI models to improve patient care in radiology.

Effectively tuning hyperparameters is essential for improving RL algorithms.

Examines how different node types affect Graph Neural Networks' performance.

Framework aims to protect patient privacy in sharing synthetic medical data.

A computer model simulates how the prefrontal cortex manages tasks and memory.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

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.

Exploring privacy-preserving learning while tackling communication issues in federated reinforcement learning.

This article discusses designing systems for better decision-making in multi-agent environments.

A new method enhances market simulation accuracy by calibrating agent behaviors.

A new framework for effective collaboration between intelligent language models.

A look at how race and class affect education access.

A look at how principals and agents can work together effectively.

Exploring how agents can improve decision-making through collaboration.

A method using historical data for real-time basketball strategy development.

C-MCR simplifies multi-modal learning by connecting existing knowledge efficiently.

A new method for creating synthesizers that benefits musicians.

New benchmark reveals performance gaps in document processing models.

New model improves panoramic image analysis for real-world applications.

LoopBoxes helps children create music easily and collaboratively.

A look at biases in text-video retrieval and ways to enhance accuracy.

A novel method enhances audio classification by learning new sounds efficiently.

A new system improves viewing direction selection in 360-degree videos.

Drones improve data gathering from sensors in various challenging environments.

Programmable metasurfaces can improve signal transmission across different media.

Innovative smart surfaces improve wireless connections across various devices.

Exploring how IoT and robotics improve efficiency in healthcare and agriculture.

Combining Wi-Fi and LiFi can improve internet experiences.

Learn how joint optimization can enhance optical network efficiency.

Using wake-up radios enhances data collection efficiency in drone operations.

Farmers use machine learning and IoT for better crop yield predictions.

A computer model simulates how the prefrontal cortex manages tasks and memory.

This study explores training Ising machines for AI tasks using a novel method.

A new method improves the efficiency of NMPC using adaptive search space strategies.

A new method uses genetic algorithms to create synthetic data while protecting privacy.

New mutation operators improve performance of evolutionary algorithms in optimization problems.

A new neural network model combines efficiency and effective training methods.

This article discusses using ancestral data to enhance evolutionary algorithm performance.

How robot design influences learning abilities and task performance.

Recent work improves error management in numerical solutions for subdiffusion equations.

A new model offers a simpler way to build deep neural networks.

A new method for filling gaps in multi-dimensional data.

A robust approach to ensure accuracy in simulations of semilinear parabolic PDEs.

Learn how this method aids in creating predictive models from complex data.

Learn about convolution techniques in one and two dimensions.

ReSDF enhances the creation of signed distance functions using deep learning techniques.

A straightforward guide on gradient descent and its optimization methods.

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.

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.

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

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

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

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

New methods improve the visualization of complex scientific data.

A look at methods for verifying dynamic binding in programming.

LambdaBeam improves program creation by handling complex functions and loops efficiently.

Learn how algorithmic differentiation and checkpointing improve scientific model efficiency.

A new dataset of COBOL projects supports research in crucial systems.

A new tool helps users manage rounding errors in floating-point calculations.

A framework for monitoring blackbox components in networked applications.

New methods improve security in computer architecture through formal specifications.

This article discusses a combined method for effective automated code editing.

This article discusses Egocentric Planning for robots to enhance task performance.

A fresh approach to make robot navigation faster and smarter.

Exploring data quality's role in effective robotic learning through imitation.

New mixed reality tool empowers individuals with disabilities to control robots hands-free.

A new method improves the efficiency of NMPC using adaptive search space strategies.

A new deep learning method streamlines calibration for robotic-assisted surgeries.

RACECAR dataset offers unprecedented insights into autonomous racing with diverse scenarios and data.

A new approach to improve the performance of robot manipulators under disturbances.

A study on how news travels and influences among countries.

A guide to creating diverse and connected groups for events.

A study on how YouTube videos spread across Reddit communities.

A method to limit harmful content exposure on digital platforms through graph analysis.

New method improves machine learning performance across different data environments.

A new model improves classification of nodes based on their variable roles in hypergraphs.

A study on how museums acquire contemporary art and its impact on artists.

A look into the contextual stochastic block model and its implications for graph analysis.

A fresh approach to testing image captioning systems for better accuracy.

This study examines the relationship between microservices through logical coupling metrics.

This article examines how microservices affect development velocity compared to monolithic approaches.

A method to restore meaningful variable names in software analysis.

A new technique enhances bug detection in software development.

This study highlights the effectiveness of tailored language models using Stack Overflow data.

Learn how Sustainable Adaptive Security protects smart homes from emerging threats.

Improving code analysis through better understanding of developer practices and cloning.

C-MCR simplifies multi-modal learning by connecting existing knowledge efficiently.

FluentSpeech offers an automatic solution for smoother speech editing.

MDA enhances speech recognition by optimizing models for specific data areas.

Research shows brain signals can help predict tongue movements during speech.

U-DiT TTS system enhances natural speech generation through innovative architecture.

A new method aims to enhance ASR systems for dysarthric speakers.

Enhancing speaker identification by combining sound and spoken words in audio.

Virtual agents learn to mimic human gestures for better interaction.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

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.

Learn how hardware Trojans threaten power circuits and explore protection methods.

Learn how innovative control techniques can reduce energy use in various applications.

Dynamic Operating Envelopes help manage flexible energy resources for a reliable system.

A new method enhances UAV coverage by integrating movement and camera control.

Exploring privacy-preserving learning while tackling communication issues in federated reinforcement learning.

New methods improve the precision of flexible robotic manipulators.

A team of drones coordinates to track and jam malicious UAVs effectively.

A novel method enhances fault estimation accuracy in nonlinear engineering systems.