Computer Science

AGI is reshaping farming through technology, improving practices and sustainability.

New methods improve robot training for real-world tasks using Real-Time Intrinsic Stochasticity.

A new method uses symmetry and demonstrations to help robots learn faster.

Angler helps practitioners prioritize fixes in machine translation models effectively.

This article discusses a systematic approach to music annotation.

A structured approach to music representation and performance analysis.

Discover the advancements of Proximity Forest 2.0 in time series classification.

Integrating RDF Knowledge Graphs to improve AI chatbox accuracy and reliability.

A new framework enhances biomedical knowledge alignment using large language models.

Angler helps practitioners prioritize fixes in machine translation models effectively.

A new dataset enhances technology for sign language communication.

This study examines gender biases in language models related to job roles.

This study improves bilingual speech models using strong language support.

Evaluating ChatGPT's performance across different languages and tasks reveals significant limitations.

This study shows how language instructions improve AI behavior in games.

A study comparing newer language models to older ones in bias reduction.

Explore the vital role of string attractors in data compression and retrieval.

Learn about the LSRS problem and its importance in various fields.

A look into Unique Games and the impact of hypercontractive graphs.

Examining new techniques for efficiently finding shortest paths in distributed systems.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

New algorithm offers efficient solutions for 2-MAXSAT challenges in optimization.

A new method enhances secure communication using quantum principles.

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

A study on portfolio optimisation with transaction and holding costs integrated.

WakeNet enhances wind farm efficiency through advanced modeling techniques for turbine wakes.

A look at methods improving nonlinear optimization under constraints.

Exploring temperature control and modeling in Friction-Stir Processing.

A new method enhances imaging of delicate nanomaterials while reducing damage.

Study reveals how QRS patterns indicate heart attack severity.

A look at improved methods for designing chemical compounds with specific properties.

Study shows machine learning improves predictions for drop coalescence in microfluidics.

Exploring methods that clarify deep learning model decisions.

A new method improves speed and accuracy in penetration depth estimation for robotics.

This article focuses on enhancing the layout of nearly planar graphs for better visualization.

A mathematical method for analyzing complex data shapes and structures.

Combining clustering with topological analysis reveals hidden structures in high-dimensional data.

Learn how Voronoi diagrams optimize floodlight placement for effective illumination.

This article discusses the complexities of imprecise polylines and their applications.

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

Effective sensor allocation is key in combatting diverse attack strategies.

Zalando enhances profitability with a structured bidding approach in online advertising.

e-Uber merges ride-sharing with energy-sharing for electric vehicle drivers.

A look at strategies to reduce false information online.

A look at methods to increase device participation in federated learning.

Studying fair distribution of food donations among charities based on entitlements.

Exploring two-player games and their implications in computer science.

Analyzing battlefield transfers in competitive situations for mutual benefits.

New method enhances accuracy in medical image segmentation.

Introducing a straightforward approach for effective keypoint detection in computer vision.

New methods improve 3D modeling using RGB-D data and dynamic voxel grids.

A groundbreaking approach improves medical image segmentation without the need for retraining.

A study on driver behavior while following lead vehicles in varied scenarios.

A new method enhances face inpainting, preserving identity and quality.

A new challenge aims to streamline the search for 3D animal models using text descriptions.

Resource-efficient CLIP reduces computing needs while maintaining strong performance in image-text tasks.

AGI is reshaping farming through technology, improving practices and sustainability.

This analysis identifies feasible combinations of fairness measures for AI systems.

This article examines how technology professionals approach ethical considerations in their work.

A new system optimizes decision-making through personalized support tailored to individual needs.

A study comparing newer language models to older ones in bias reduction.

Investigating how large language models can aid teachers in generating questions.

Study reveals racial bias in NFT prices, with lighter-skinned characters valued higher.

A framework for fair decision-making in algorithms across various fields.

A novel approach to enhance network security through improved activity prediction.

A new quantum secret sharing protocol enhances secure communication among multiple parties.

A node-private algorithm for analyzing graph components protects individual privacy.

Exploring ABS's approach to safeguard privacy while delivering essential statistical information.

Using ISFETs enhances security for integrated circuits against reverse engineering.

Addressing security risks in advanced non-volatile memory technologies.

A new framework enhances security for IoT devices in the age of 6G.

CIM systems improve efficiency but expose vulnerabilities to side-channel attacks.

A node-private algorithm for analyzing graph components protects individual privacy.

Discover efficient methods for clustering large datasets through new parallel computing techniques.

Learn about the LSRS problem and its importance in various fields.

A framework for fair decision-making in algorithms across various fields.

Discover how PCFGs and LLMs are transforming language technology.

This paper presents a new algorithm for improving network reliability estimates.

A new algorithm improves how people are assigned to public service centers.

Focusing on robust algorithms to tackle adversarial inputs in data environments.

Integrating RDF Knowledge Graphs to improve AI chatbox accuracy and reliability.

A new method for ranking numbers in large data streams improves accuracy and efficiency.

A new approach improving performance in column-stores through hybrid materialization techniques.

DIALITE streamlines finding and analyzing open data tables for better insights.

Semantic overlap improves data search by considering meaning rather than exact matches.

A new method enhances SQL query accuracy from natural language inputs.

A detailed analysis of language models in data integration tasks.

Exploring how large language models can improve data querying.

Creating a hub for climate data to address changing weather patterns.

A method to enhance search access using narratives instead of keywords.

A new model enhances citation prediction using hierarchical graphs.

A platform for open sharing and peer feedback in scientific research.

This article discusses the importance of synthesizing research in HCI.

Structured resources to clarify scientific terms for readers and researchers.

EffOCR offers improved accuracy and flexibility in digitizing historical documents.

An open-source tool offering various string manipulation capabilities for diverse fields.

A look at random geometric graphs and their balanced spanning trees.

Exploring how walks in graphs influence various fields of study.

This article examines random colouring methods for sparse graphs and their implications.

Discover the unique properties and applications of automatic sequences in mathematics and computer science.

A look at methods to multiply polynomials quickly, focusing on FFT.

A look into automata networks and how update modes influence interactions.

Learn about hypergraphs, their supports, and practical applications in various fields.

An overview of integer partitions and their sampling methods using the Boltzmann distribution.

Vers enhances distributed computing through decentralized data handling and robust security.

This study highlights improvements in weather forecasting through better data management.

Explore how subtyping enhances communication in computer systems.

Improving data compression techniques for multi-byte data on GPUs.

A look at advanced techniques enhancing recommendation systems.

This research examines how to improve blockchain efficiency for numerous IoT devices.

Hybrid DLT combines public and private features for secure data management.

A look at Byzantine Fault Tolerance for secure computing.

Using ISFETs enhances security for integrated circuits against reverse engineering.

Addressing security risks in advanced non-volatile memory technologies.

Exploring multi-core quantum computing and its impact on problem-solving speed.

Exploring the role of LSTM networks in improving quantum computing accuracy.

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.

This article explores Kleene algebra with tests and its applications in program verification.

A new benchmark to test ML systems on regular language classification.

Discover the unique properties and applications of automatic sequences in mathematics and computer science.

New logic framework enhances understanding of past events and automata relationships.

A look into the properties and performance of probabilistic pushdown automata.

A look into automata networks and how update modes influence interactions.

A look into the complexities of rational relations in computer science.

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

New methods improve 3D modeling using RGB-D data and dynamic voxel grids.

Factorized Inverse Path Tracing improves efficiency and accuracy in rendering materials and lighting.

Enhancing text-to-image technology through rich text formatting for better clarity and detail.

SepicNet improves sharp edge detection in 3D scans significantly.

Discover how Photon Field Networks transform volume visualization with speed and clarity.

DDS offers improved clarity and control in image edits using text prompts.

A new approach to simulate how textiles behave during collisions.

Explore the essentials of XR technologies and their requirements.

Addressing security risks in advanced non-volatile memory technologies.

New approaches to improve efficiency in deep neural networks.

A look into improving computations with sparse matrices using SpChar.

Introducing LightRW, an FPGA accelerator boosting performance for graph algorithms.

New circuits improve speed and efficiency in computing tasks.

A new method improves efficiency in large language models while maintaining accuracy.

RAELLA enhances PIM technology for more efficient DNN inference.

ATHEENA simplifies Early-Exit networks implementation on FPGA, improving performance and efficiency.

Angler helps practitioners prioritize fixes in machine translation models effectively.

Using synthetic data improves hand detection in industrial settings.

This article examines how technology professionals approach ethical considerations in their work.

A new system optimizes decision-making through personalized support tailored to individual needs.

New methods improve understanding and analysis of human motion.

Immersive 3D application aids in understanding flooding scenarios for better decision-making.

Exploring the impact of AVs on cities and policies.

Excessive time spent on media can harm well-being and personal relationships.

A new framework enhances biomedical knowledge alignment using large language models.

A new method to analyze evolving labeled networks effectively.

DESMIL improves user recommendations by adapting to changing interests effectively.

This study examines the benefits of retrieval in enhancing language model performance.

Discover the role of sentence encoders in categorizing documents without training data.

A new framework enhances machine understanding in Conversational Question Answering.

A new system makes entity alignment in knowledge graphs more efficient.

This framework improves how users find charts by considering their intentions.

Exploring ABS's approach to safeguard privacy while delivering essential statistical information.

A look into complete arcs and their role in coding theory.

A study on optimizing data collection in sensor systems with dynamic processes.

Exploring Single User Massive MIMO technology for faster wireless communication.

Reconfigurable intelligent surfaces enhance reliability and quality in wireless networks.

A new method enhances how drones connect to communication networks during flight.

GSPARC improves error control in short block lengths for modern communication systems.

Learn how polar codes enhance data transmission in modern communication systems.

Introducing SolverX, a fast solver for robotic control problems using piecewise-affine systems.

A look into how query algorithms analyze properties in databases.

Explore how subtyping enhances communication in computer systems.

An overview of fixpoint equation systems and their significance in mathematics and computer science.

Learn how paraconsistent logic helps manage contradictions in reasoning.

Examining weakly Markov categories and weakly affine monads in mathematical structures.

This paper studies the complexities of order-invariant logic and its two-variable fragment.

The study highlights how adaptive learning impacts metacognitive skills in students.

New method enhances accuracy in medical image segmentation.

Examining how kernel interpolation performs in noisy data scenarios.

A groundbreaking approach improves medical image segmentation without the need for retraining.

A new method enhances face inpainting, preserving identity and quality.

This analysis identifies feasible combinations of fairness measures for AI systems.

Discover how qEUBO improves decision-making through user preferences.

A new method integrates human preferences to enhance image generation.

Angler helps practitioners prioritize fixes in machine translation models effectively.

A look at methods improving nonlinear optimization under constraints.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

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.

This study shows how language instructions improve AI behavior in games.

A new framework enhances understanding of human-driver interactions to improve autonomous vehicle safety.

A new approach integrating Bayesian Optimization with multi-agent systems for better teamwork.

A new method protects privacy while ensuring accurate consensus among agents in networks.

This article discusses how chaotic dynamics can enhance mobility models for self-driving vehicles.

New algorithm enhances privacy while optimizing resource allocation in federated optimization.

A study on optimizing HOT lanes to reduce traffic congestion and improve efficiency.

Learn how CMARL can improve inventory management for retailers.

This article discusses a systematic approach to music annotation.

A structured approach to music representation and performance analysis.

New model transforms sounds into clear images, bridging audio and visual information.

A novel approach to generate audio captions using pre-trained language models.

New method improves multimedia retrieval by combining various data types effectively.

A new method bridges food images and recipes from various cuisines.

A method to boost object recognition accuracy in videos using advanced processing techniques.

Promptify simplifies the process of writing prompts for text-to-image models.

Learn how edge computing and data spaces enable secure data exchange for various applications.

A study on optimizing data collection in sensor systems with dynamic processes.

Drones improve efficiency and privacy with decentralized learning techniques.

Hybrid DLT combines public and private features for secure data management.

A new method enhances how drones connect to communication networks during flight.

Exploring how devices communicate within the body for better health outcomes.

Drones improve computing and communication in vehicle networks, offering innovative solutions.

Explore the essentials of XR technologies and their requirements.

Automation in factories improves efficiency through evolutionary algorithms and program code generation.

An overview of neuromorphic computing and spiking neural networks and their potential.

RLOR enhances deep reinforcement learning for adaptable operations research solutions.

Improving Spiking Neural Networks through innovative knowledge sharing techniques.

Investigating how learning consumes energy and strategies for improved efficiency.

TreeC offers a simple and effective method for managing energy systems.

A new neuromorphic controller improves drone stability and efficiency through innovative design.

DECN improves evolutionary algorithms for solving complex optimization tasks.

This article discusses a straightforward method for solving singular integral equations.

A new method improves fluid flow simulation efficiency in porous media.

Using advanced radar technology to locate buried landmines effectively.

New implicit Active Flux methods improve numerical solutions for scalar advection equations in networks.

This paper addresses numerical methods for calculating integrals over complex fractal shapes.

A look into coupled-cluster theory and its role in quantum chemistry.

New methods improve predictions of fluid behavior in complex systems.

A guide to using `elsarticle.cls` for efficient formatting.

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 study on the efficiency of Java's execution methods.

Learn how to handle cold-start issues in serverless cloud services effectively.

This article discusses the importance of computational performance in concept drift detection.

A new approach improving performance in column-stores through hybrid materialization techniques.

Data preprocessing is key to efficient deep neural network training.

Innovative techniques for optimizing sparse matrices in high-performance computing.

New techniques improve DNN efficiency and robustness for small devices.

A new technique improves performance tuning for parallel computing applications.

A study on the efficiency of Java's execution methods.

A look at choreographic programming's role in creating efficient distributed systems.

Explore how subtyping enhances communication in computer systems.

A straightforward tool for validating GSOS rules in programming languages.

Understanding kind inference and its impact on programming languages and resource management.

A new programming model improves safety in local-first applications.

A study on the relationship between structural subtyping and parametric polymorphism in programming languages.

NPS enhances microprocessor performance by improving program sampling accuracy and efficiency.

A study on driver behavior while following lead vehicles in varied scenarios.

New methods improve robot training for real-world tasks using Real-Time Intrinsic Stochasticity.

A new method uses symmetry and demonstrations to help robots learn faster.

Introducing SolverX, a fast solver for robotic control problems using piecewise-affine systems.

Robots improve their movements by learning from human demonstrations.

This paper examines how Edge AI can enhance energy efficiency in autonomous driving.

RoboBEV benchmark evaluates BEV systems against real-world challenges.

PPCNet enhances efficiency in robotic bin-picking tasks through advanced path planning.

This method improves analysis of random processes on graphs, especially rare events.

A new method to analyze evolving labeled networks effectively.

Examining how switching networks influence genetic mutation spread.

Study reveals racial bias in NFT prices, with lighter-skinned characters valued higher.

ChatGPT-4 transforms how we analyze political discussions on social media.

A new method improves analysis of interactions in complex networks.

A framework to better capture diverse signals in graph data.

Explore how signed networks influence group dynamics and polarization.

Examining the adoption of OSS in public organizations and its unique challenges.

Maintainers are crucial to the health of open source software libraries.

Examining the tax issues in international software collaboration.

Understanding kind inference and its impact on programming languages and resource management.

A new approach to symbolic execution improves bug detection efficiency in software.

Learn how example selection impacts programming with large language models.

This study investigates how developers consider costs in cloud application development.

A method to enhance software testing through automated synthesis of metamorphic relations.

This article discusses a systematic approach to music annotation.

A structured approach to music representation and performance analysis.

This study improves bilingual speech models using strong language support.

New model transforms sounds into clear images, bridging audio and visual information.

A novel approach to generate audio captions using pre-trained language models.

A new approach enhances the adaptability of speech recognition technology.

A look at advancements in speech recognition models for efficiency and accuracy.

A novel approach to measure speech recognition performance without manual transcription.

This article examines how ML and XAI improve symbolic computation methods.