Computer Science

Integrating LLMs in deductive coding streamlines content analysis for researchers.

A look at how CNNs improve handwriting recognition technology.

A new method automates shape adjustments in semantic segmentation masks for image synthesis.

AI improves summarization of medical conversations, enhancing efficiency and accuracy.

Exploring clarity and logic in legal outcomes through explainable AI systems.

A new method to clarify how GNNs make predictions through modal logic.

This article explores how perturbation analysis improves understanding of AI decisions with time series data.

Examining how individual beliefs can merge into a collective consensus.

Integrating LLMs in deductive coding streamlines content analysis for researchers.

Leveraging language models to generate clear explanations for programming solutions.

A new method enhances dialogue relevance using context-based prompts.

This study presents a model for classifying human values in written content.

AI improves summarization of medical conversations, enhancing efficiency and accuracy.

A new dataset highlights challenges in language understanding for NLI models.

Learn about Large Language Models and their applications across various fields.

A new approach improves translation customization for varied user needs.

This research compares the effectiveness of SAT and NP oracles for approximate model counting.

Analyzing the complexities of disease transmission in social networks through graphs.

Study reveals how noise affects random quantum circuits and their output distributions.

Learn how to manage changes in planar graphs effectively.

This article examines how universality connects various systems across disciplines.

A closer look at graph coloring without specific patterns.

Discover the nuances of modal logic and its applications.

Examining the complexities of defensive alliances in different types of graphs.

A new cloud service enhances medical image processing while protecting patient privacy.

Discover how Proof of Training combines AI and crypto mining for better performance.

Microgrids provide backup power and ensure stability through smart bidding and coordination.

A look into the dynamics of specialty insurance and its key participants.

Examining the balance between data sharing and patient privacy in biomedical research.

Discover how data is transforming the design of metamaterials for various applications.

PINNsFormer enhances accuracy in solving partial differential equations using advanced Transformer structures.

A study on deep learning algorithms for optimizing investment portfolios.

A new framework enhances data analysis by addressing multiparameter challenges.

New methods for faster solutions to TSP and MST problems.

Examining the role of flip-width in the complexity of geometric graphs.

A new approach to create quality meshes using grid-based techniques.

Exploring how to cover geometric graphs with star-forests efficiently.

This article explores how to estimate set sizes using point samples and polynomial volume functions.

A new algorithm for grouping similar movement paths in large datasets.

Effective algorithms for optimal facility placement in continuous client distributions.

This article discusses using tax schemes to influence agent behavior in multi-agent systems.

Examining how individual beliefs can merge into a collective consensus.

This paper presents a practical framework for better decision-making based on experience and learning.

A look into the factors shaping our content-sharing choices online.

This research focuses on better grouping strategies in social networks to enhance participant satisfaction.

Explore how MAIDs improve understanding of agent interactions in decision-making.

A look at the implications of data sharing between competing firms.

A new system helps retailers improve their online ad bidding strategies.

A look at how CNNs improve handwriting recognition technology.

A new GAN-based method improves image compression quality and efficiency.

A new method enhances learning for rare image classes.

A new method automates shape adjustments in semantic segmentation masks for image synthesis.

Short-term trajectory prediction is crucial for autonomous vehicle safety.

Introducing LWALM for effective pedestrian attribute recognition on resource-limited devices.

A new method improves accuracy in understanding relationships within images.

ProMIL improves classification in medical imaging by using a percentage-based approach.

A study analyzes social media reactions to COVID-19 vaccines in South Africa.

Learn about misclassification bias and methods to improve automated content analysis accuracy.

Exploring shared responsibilities and improving security for freelance developers.

A look into how AI-generated images challenge traditional views of art.

Learn how cobots can improve workplace safety and reduce MSD risks.

This article analyzes the tankie community and their influence on social media.

Explore how blockchain and computer vision can transform various industries.

E-bike usage is accelerating, impacting health and the environment.

Strategies to improve battery-less device performance amid energy threats.

A look at membership inference attacks and their implications for data privacy.

A new system to ensure safer workflows in cloud environments.

Black-box attacks reveal vulnerabilities in interpretable deep learning models.

An analysis of how SPDM affects the performance of computing devices.

Exploring shared responsibilities and improving security for freelance developers.

Examining how users perceive privacy risks in sharing sensitive information.

Exploring how public data can improve privacy-preserving machine learning models.

This article discusses strategies to reduce communication in distributed regression problems.

This research focuses on better grouping strategies in social networks to enhance participant satisfaction.

This research compares the effectiveness of SAT and NP oracles for approximate model counting.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

This article examines efficient quantum algorithms that improve performance and robustness.

A method to enhance the reliability of streaming algorithms against data corruption.

A deep dive into efficient packing strategies and their applications in logistics.

A new parallel algorithm improves correlation clustering efficiency and accuracy.

Exploring deep learning's role in visualizing changes over time.

IMPTC dataset captures vital data for safe automated vehicle navigation.

AI tools are transforming how we create and manage Knowledge Graphs.

cjdb offers a straightforward way to store 3D city models in PostgreSQL.

Learn how PG-Triggers can streamline data management in graph databases.

A framework combining results reuse and workload sharing boosts data analysis speed.

LearnedSort uses machine learning to enhance sorting speed and efficiency.

A new method improves how large language models are updated and used.

Researchers face challenges amidst an explosion of new scientific papers.

A system to categorize historical articles using roles and aspects.

This study enhances patent image classification using advanced deep learning techniques.

This article examines teamwork between schools and businesses in NLP.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

Exploring the characteristics and significance of -dicritical digraphs in graph theory.

This research examines optimal mixing time for independent sets using Glauber dynamics.

Strategies to quickly inform communities through network connections.

A look at visualizing graphs on complex surfaces, focusing on the Klein bottle.

Investigating how dimensions affect efficiency in online chasing tasks.

Learn about Markov chains and their vital role in various fields.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

Examining mutual exclusion and the impact of register types on algorithms.

This article discusses strategies to reduce communication in distributed regression problems.

A look at how knowledge updates through interaction models.

Optimizing sparse tensor operations for improved performance and efficiency.

SAGE improves Kubernetes application deployment efficiency and reliability in cloud environments.

Discover how federated learning enhances privacy while improving machine learning efficiency.

A new cloud service enhances medical image processing while protecting patient privacy.

A new approach to improve Federated Learning efficiency and model performance.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A new MIV-transistor design enhances performance in 3D integrated circuits.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

Examines safety and liveness concepts in quantitative automata for system verification.

Examining how word pairs can transform through conjugacy in rational relations.

Learn how backreferences enhance regular expressions for complex text patterns.

An overview of finite languages, DFA, and their analysis.

A study of time-sensitive interactions in negotiations among agents.

A look at handling message loss with priority considerations in computing.

Contextual metrics improve comparisons of process behaviors in varying situations.

An overview of automata, their types, and languages they recognize.

New technologies improve maintenance of solar panels for better energy output.

A new method enhances real-time rendering for glossy surfaces in dynamic lighting.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Developing systems for machines to create realistic, context-aware gestures.

HyperDreamBooth creates unique images from a single photo quickly and effectively.

New methods enhance personal image creation using simple prompts.

NEAT revolutionizes 3D modeling by utilizing neural networks for enhanced wireframe accuracy.

A study evaluates how well different visualizations reveal data changes.

A look into alternative number systems enhancing DNN performance and efficiency.

CIM technology enhances MCMC sampling speed and energy efficiency for complex data analysis.

A simple model improves prefetcher selection, boosting performance up to 25%.

The eGPU enhances soft processing capabilities within FPGAs for diverse applications.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Safety islands enhance HPC devices for critical applications like self-driving cars.

MARS framework optimizes deep neural networks on multi-accelerator systems.

A method to help robots adjust to new tasks using user insights.

Study reveals public attitudes toward COVID-19 apps shifted over time.

Exploring how AI tools influence creativity and narrative construction.

Examining how emotional prompts affect large language models' performance.

Developing systems for machines to create realistic, context-aware gestures.

This article explores the link between feature attributions and counterfactual explanations in AI.

Exploring the potential and obstacles facing Web3 and blockchain advancements.

This article discusses the issues and strategies for implementing Responsible AI values.

Study examines methods for detecting unusual patterns in social media behavior.

A systematic method to discover unforeseen risks and opportunities in various fields.

A new method improves how event sequences are analyzed and retrieved.

A new method enhances negative sampling in recommendations for better user experience.

A new method improves predictions from clinical notes using language models.

A new model enhances news recommendations by blending individual and collective user insights.

Improving LLMs by retrieving better examples for in-context learning.

Researchers develop methods to improve drug selection for individual cancer patients.

A new protocol aims to enhance data freshness in wireless communications.

This research compares the effectiveness of SAT and NP oracles for approximate model counting.

Full-duplex systems merge communication and sensing for improved wireless performance.

New DSP methods enhance optical networks while reducing costs and complexity.

A look at how the SOS technique simplifies complex optimization tasks.

Examining the role of information projections in hypothesis testing.

A look at phase retrieval's role in various scientific fields.

This study examines how irreversibility impacts cryptocurrency market efficiency.

Examining how probabilistic hyperproperties can enhance program security.

A look into distinguishing formulas for understanding system behaviors.

Exploring clarity and logic in legal outcomes through explainable AI systems.

A new method to clarify how GNNs make predictions through modal logic.

Examining mutual exclusion and the impact of register types on algorithms.

This article discusses using tax schemes to influence agent behavior in multi-agent systems.

A look into knowledge-wh and its connection to belief.

Examining how individual beliefs can merge into a collective consensus.

Exploring machine learning models for enhancing European options pricing accuracy.

Study investigates the impact of noise on matrix profile analysis of time series data.

Integrating LLMs in deductive coding streamlines content analysis for researchers.

A new method enhances aircraft classification based on environmental effects.

A new method enhances dialogue relevance using context-based prompts.

A new method improves prediction models using structured data.

A look at membership inference attacks and their implications for data privacy.

ProMIL improves classification in medical imaging by using a percentage-based approach.

Study investigates the impact of noise on matrix profile analysis of time series data.

Optimizing sparse tensor operations for improved performance and efficiency.

A deep dive into testing practices for interval arithmetic libraries.

MindOpt Tuner optimizes numerical software performance by automating hyperparameter adjustments.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

This article discusses using tax schemes to influence agent behavior in multi-agent systems.

Explores different types and implications of responsibility across various fields.

Explore how MAIDs improve understanding of agent interactions in decision-making.

A look into how groups and knowledge interact based on shared characteristics.

This paper examines how opinions and connections change in social networks.

A look at how to ensure fair representation in elections.

A guide to effective decision-making through expert advice aggregation.

Joint commitments and reputation are key to social cooperation.

A method for creating artistic line drawings from photographs with user control.

New dataset enhances video-text tasks for Indonesian speakers.

Research aims to combine audio and symbolic data for music similarity analysis.

New methods improve watermark removal while preserving image quality.

A new method enhances hate speech detection by combining text, images, and discussion context.

AI predictions improve service for extended reality users on advanced networks.

A new model enhances speech extraction using audio and visual information.

RetouchingFFHQ dataset enhances face retouching detection methods.

A new protocol aims to enhance data freshness in wireless communications.

Exploring strategies for equitable resource distribution in modern wireless networks.

The next generation of networks focuses on customizable solutions for diverse applications.

A study on how public DNS resolvers handle performance and reliability.

Exploring a new architecture for 6G mobile networks to improve user signaling and data management.

Exploring network slicing and energy efficiency in next-generation telecom networks.

TARA enhances communication rates for UAV-based wireless networks during critical situations.

A study on improving IPv6 research through categorized hitlists and target generation algorithms.

A look into alternative number systems enhancing DNN performance and efficiency.

A look at methods improving the training of language models effectively.

Exploring the potential of spiking neural networks in real-time processing.

Joint commitments and reputation are key to social cooperation.

Exploring the brain's ability to interpret sensory information and predict outcomes.

This article examines how setup and training affect neural network performance.

A new method for growing artificial neural networks inspired by biology.

New methods improve ensemble performance in automated machine learning.

Algorithm MGB efficiently tackles complex nonlinear PDEs for various applications.

Study investigates the impact of noise on matrix profile analysis of time series data.

A new projection method improves accuracy in simulating fluid flows.

Introducing LWALM for effective pedestrian attribute recognition on resource-limited devices.

New methods enhance the calculation of invariant subspaces in numerical linear algebra.

This research uses deep learning to find weak solutions to the Navier-Stokes equations.

Exploring the significance and applications of spherical curves in various fields.

The hybrid method improves gas flow simulations through effective computation techniques.

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.

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 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 fresh approach offers deeper insights into cancer driver genes and their interactions.

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

Optimizing sparse tensor operations for improved performance and efficiency.

A look at methods improving the training of language models effectively.

A study on an improved blockchain consensus protocol allowing node repairs.

New algorithms improve decision-making by addressing advice reliability in uncertain environments.

Examining the true capabilities and limits of quantum computers today.

Analyzing data transmission issues in modern cellular networks and possible improvements.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

Optimizing sparse tensor operations for improved performance and efficiency.

This framework simplifies the analysis of software costs and behaviors for better development.

A new approach integrating internal parametricity into type theory, enhancing reliability.

Learn essential functional design patterns for efficient software development.

A look at improving traffic data management through Application-Specific Natural Language.

Learn how constrained type systems improve data interaction in programming languages.

Contextual metrics improve comparisons of process behaviors in varying situations.

A new method to help beginners find useful programming examples easily.

This system improves how people work with robots, making tasks easier and faster.

Research reveals new insights into legged robot walking and adaptability.

New system enhances interaction in lower-limb rehabilitation for better recovery.

Bi-Touch system enhances robots' ability to manipulate objects with touch and vision.

A method to help robots adjust to new tasks using user insights.

A look at AEKF and MEKF for satellite orientation.

New modeling techniques improve the performance of adaptable soft robots.

Innovative safety measures for automated driving systems improve urban delivery logistics.

Study examines methods for detecting unusual patterns in social media behavior.

A look into the factors shaping our content-sharing choices online.

This paper examines how opinions and connections change in social networks.

Explore how dynamic graphs capture the evolving nature of relationships.

A study analyzes social media reactions to COVID-19 vaccines in South Africa.

Researchers face challenges amidst an explosion of new scientific papers.

Examining the role of asymmetry in human connections.

New metrics enhance the evaluation of patient data graphs for better health predictions.

A new system to ensure safer workflows in cloud environments.

Innovative safety measures for automated driving systems improve urban delivery logistics.

This study identifies key characteristics of datasets in Software Engineering SLRs.

A study examines how developers manage discussions and issues in open-source software.

This report analyzes how emoji reactions affect GitHub code reviews.

A look at improving traffic data management through Application-Specific Natural Language.

Crucible simplifies software modeling and testing through a graphical interface.

A method to improve safety in software development for critical systems.

SURT 2.0 improves speech recognition for multiple speakers in real-time settings.

MARBLE sets a standard for evaluating music AI models across multiple tasks.

A new method improves the accuracy of identifying bird calls.

New algorithms enhance audio processing performance across varying sample rates.

Research explores sound analysis to improve mosquito sorting for disease control.

Explore two innovative methods for altering vocal timbre using Digital Signal Processing.

A new method enhances speech recognition technology without losing previously learned knowledge.

A new model improves music transcription accuracy for multiple instruments.

Learn how simplifying regular expressions can enhance their clarity and efficiency.

Techniques to assess security properties of cryptographic protocols.

This article discusses enhancing machine learning models using polynomial data balancing and augmentation.

Learn about creative telescoping for calculating definite sums efficiently.

This article discusses the finite expression method for solving complex state transitions.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

A model for connected automated vehicles to improve traffic safety and efficiency.

Research reveals new insights into legged robot walking and adaptability.

Utilizing the Extended Kalman Filter for accurate quantum gate error estimation.

A new system helps retailers improve their online ad bidding strategies.

A machine learning method identifies and suppresses unknown disturbances in dynamic systems.

A novel method estimates system parameters through image analysis and deep learning.

This study simulates CubeSat behavior to improve control methods in space.

Addressing cybersecurity challenges in connected transportation technology.