Computer Science

A look at DNAS and its impact on neural network design.

A comprehensive standard for assessing Text-to-Image models across multiple skills.

New method improves machine learning by efficiently managing task-related knowledge.

AGCL improves learning speed in reinforcement agents by structuring tasks.

A new approach enhances federated learning by reducing client drift and forgetting.

A new AI model enhances predictions of student learning outcomes.

OpenAL simplifies comparing active learning methods with realistic tasks and metrics.

Analyzing stability in complex systems influenced by randomness.

A new method enhances fact-checking of medical claims from social media.

A new framework assesses chatbot performance by analyzing social interaction quality.

A new method enhances language model understanding of word order.

A new approach in fashion models focuses on fine-grained attributes.

This article examines the link between weather and food tweets in Latvia.

A new approach combines human input and AI for better feature lists.

A new method combines human insight and machine learning for better text detection.

Researchers work to distinguish human and AI-written texts in academia and beyond.

This article examines improving learning algorithms by focusing on data distributions.

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.

Examining how recrystallization affects Zircaloy-4 in nuclear applications.

Antenna design improves through topology optimization for modern communication needs.

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.

TAS-Paths improves safety and efficiency in spectrometer motion planning.

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 into Bayesian games, their equilibria, and the role of mediators.

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.

New methods enhance PET image quality while reducing scan times.

New sensor technology improves data processing efficiency in modern cameras.

MONET dataset offers valuable images and data for object detection in rural areas.

A look at DNAS and its impact on neural network design.

A comprehensive standard for assessing Text-to-Image models across multiple skills.

MOST method locates multiple objects in images without extensive labels.

fRegGAN improves medical image translation by focusing on frequency content and misalignment.

A new method predicts how liquid drops behave on surfaces.

Examining the role of wellbeing in AI development and design.

Exploring the impact and future of IoT-based wearables.

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.

A look at the importance of protecting personal data in technology.

A look into the risks of software supply chain attacks and their impact.

A new method empowers users to protect their data privacy in federated learning.

AIIPot enhances IoT security by engaging attackers through interactive machine learning.

Analyzing information flow in hardware designs to improve security measures.

This report assesses ChatGPT and GPT-3 in finding Java code vulnerabilities.

This article evaluates re-identification risks in user representations and privacy measures.

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

This article examines improving learning algorithms by focusing on data distributions.

New methods improve efficiency for shortest paths in graphs with negative edge weights.

Explore the LCS problem influenced by distance limitations in character selection.

An overview of unswitchable graphs and their significance in graph structures.

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.

Learn effective techniques for extracting structured information from unstructured data sources.

Explore the role and mechanics of graph databases in modern applications.

Learn how the Yannakakis algorithm streamlines data processing using tree decompositions.

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.

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.

Learn how to build graphs and achieve specific properties in a semi-random game.

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.

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.

Exploring the technical hurdles and advancements in quantum computing systems.

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.

Explore the LCS problem influenced by distance limitations in character selection.

A new method to analyze inter-case dependencies in business processes using Petri nets.

A review of recent algorithms for determining emptiness in regular languages and automata.

Learn effective techniques for extracting structured information from unstructured data sources.

Explore the role and mechanics of graph databases in modern applications.

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.

Animation quality shapes user experience and control in virtual reality.

A simple method for natural character movements in animations and games.

Learn how vehicle damage enhances gaming engagement and realism.

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.

New methods help estimate power consumption in FPGA designs, focusing on Lattice iCE40.

This paper examines the advantages and challenges of Logic-in-Memory designs in digital systems.

Analyzing information flow in hardware designs to improve security measures.

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.

Animation quality shapes user experience and control in virtual reality.

Examining the clarity and impact of security advice in news articles.

A new framework assesses chatbot performance by analyzing social interaction quality.

OpenAL simplifies comparing active learning methods with realistic tasks and metrics.

A new framework enhances emotion detection using self-supervised learning.

Research shows EEG can effectively classify human moods with high accuracy.

A new dataset combines wearable and visual data for improved activity recognition.

A new method combines human insight and machine learning for better text detection.

UPL enhances recommendation accuracy and stability using implicit feedback.

A new framework explains bias in recommendations using user-item interactions.

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.

LEO satellites are transforming internet access and data delivery systems.

A flexible approach to set lower limits on Bayesian risk in parameter estimation.

Effective cancellation of OFDM signals is crucial for reliable wireless communication.

Innovative solutions address beam squint in 6G wireless communication technologies.

Investigating new measures to improve the Information Bottleneck method.

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.

Explore the role and mechanics of graph databases in modern applications.

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.

This research enhances tensor program tuning across hardware using transfer learning techniques.

A look at DNAS and its impact on neural network design.

This framework enhances speaker verification using unlabeled data and clustering techniques.

A comprehensive standard for assessing Text-to-Image models across multiple skills.

This article examines improving learning algorithms by focusing on data distributions.

A deep learning model streamlines peak detection in X-ray crystallography experiments.

A method using stereo cameras for accurate vehicle speed estimation.

A novel method improving particle collision event reconstruction using graph neural networks.

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.

Strategies for efficient resource management in a growing IoT landscape.

NRTS app enhances neonatal resuscitation training for healthcare professionals.

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.

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.

Examining methods to solve complex boundary value problems in mathematics and engineering.

PCA-Net combines PCA and neural networks for improved data analysis.

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.

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.

This research enhances tensor program tuning across hardware using transfer learning techniques.

Discover the role of QIR in quantum programming for better code safety.

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 new method improves point cloud registration efficiency with compressed SDFs.

Scientists improve control techniques for underwater robots in rough ocean conditions.

Researchers are training robots to skillfully handle small, slender objects.

New techniques improve safety and adaptability in robotic systems using dynamic parameters.

A simple method for natural character movements in animations and games.

Learn how vehicle damage enhances gaming engagement and realism.

Project aims to give natural language explanations for automated vehicle actions.

A new sensor enhances robot interaction with humans through dual functionality.

This study examines how income levels shape online interactions in community discussions.

This article examines the link between weather and food tweets in Latvia.

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.

This research identifies qualities that make Jupyter Notebooks popular and effective.

A look into the risks of software supply chain attacks and their impact.

A study evaluating AIGC tool performance in detecting AI-generated code.

A tool that analyzes public sentiment to guide API selection for developers.

A resource for developers to improve Python coding practices.

This report assesses ChatGPT and GPT-3 in finding Java code vulnerabilities.

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

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

This framework enhances speaker verification using unlabeled data and clustering techniques.

A new framework enhances emotion detection using self-supervised learning.

This approach links video actions and sound using physics for better sound effects.

A new method boosts speech recognition using visual data with existing models.

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.

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