Computer Science

This article discusses using LLMs to automate ontology learning from unstructured text.

A study on how architecture affects model calibration in neural networks.

A framework for efficient adaptation of multimodal large language models.

Improving AI's ability to classify unseen categories through innovative methods.

Researchers explore PPG signals for easy diabetes monitoring.

Combining NLP and Sampling for smarter community governance.

Pure CFR improves decision-making in complex games with hidden information.

SyntheWorld provides high-quality synthetic data for remote sensing challenges.

This article discusses using LLMs to automate ontology learning from unstructured text.

A new benchmark for detecting errors in instruction-tuning datasets.

A new framework enhances the ranking of Chinese geographic addresses.

Combining NLP and Sampling for smarter community governance.

An analysis of how large language models assist in planning activities.

FlaMB e provides structured information for extracting procedural knowledge from biomedical papers.

New method promises quicker identification of speech disorders like aphasia.

A look at using models to build taxonomies efficiently.

A look into space-limited quantum computing and its implications.

Techniques for efficient testing of data distributions under memory constraints.

An overview of tree-controlled grammars and their role in language formation.

A new quantum algorithm improves the efficiency of large number factoring.

This article investigates how to discern between modified and original uniform distributions.

A look into reducing randomness in algorithms using regular ROBPs.

Exploring the impact of tensors on dynamic programming efficiency.

This research uses quantum systems to solve complex optimization problems like Max-Cut and MIS.

New methods enhance simulation efficiency for superconducting magnets and HTS materials.

A new approach to simplify simulations of processes with varying speeds.

Researchers connect video reactions with brain signals using advanced modeling techniques.

Introducing the Laminated Element Technique for improved material analysis.

How managerial responses in earnings calls affect stock prices.

New method speeds up uncertainty analysis while maintaining tensor grid benefits.

New framework boosts efficiency and accuracy in reduced-order modeling.

Discover how advanced simulators reshape trading strategies and market analysis.

Exploring the Fréchet distance and its impact on paths and graphs.

A new method for improving the clarity of hive plots in data representation.

Discover how Celtic knots can represent complex graphs creatively.

A new method enhances clustering accuracy by addressing outliers effectively.

A new method uses learning to enhance mesh quality in graphics and simulations.

An overview of geodesic and topological complexity in cube navigation.

A new approach to detecting malicious activities in cyber systems using modern data analysis.

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

Discover the strategies and rules of Baccara Chemin de Fer.

Pure CFR improves decision-making in complex games with hidden information.

A look into congestion games and how participants share resources effectively.

A look into symmetric strategy improvement and its challenges in directed graph games.

A look into safety games influenced by the Total Store Order memory model.

Examining Nash equilibria in network scenarios involving attackers and defenders.

Learn how to optimize digital twin migration for enhanced user experiences in vehicular metaverses.

Enhancing vehicle interactions through optimized migration and resource management.

A new approach simplifies creating accurate human body shape models.

A framework for efficient adaptation of multimodal large language models.

A new method simplifies the creation of transfer functions in volume rendering.

Improving AI's ability to classify unseen categories through innovative methods.

A new method trains models using generated images without human labels.

Research shows deep learning can improve inspection of synthetic fibre ropes.

New method enhances explainability in kidney stone image analysis.

SyntheWorld provides high-quality synthetic data for remote sensing challenges.

Introducing EOR to improve fairness in ranking systems across diverse candidate groups.

Combining NLP and Sampling for smarter community governance.

An examination of deepfake videos and their societal impact.

Exploring how mathematical tools affect society and ethics.

Understanding the impact of false financial information on individuals and the economy.

A new system helps patients optimize spinal cord stimulation settings for better pain relief.

Adaptive learning tools can improve student outcomes, but challenges remain.

Telematics transforms auto insurance by promoting safer driving through real-time feedback.

FedSecure speeds up satellite data analysis while ensuring privacy and security.

ChatGPT shows promise as a tool against online fraud in new research.

New method uses ultrasonic sounds to confuse speech recognition systems without detection.

An overview of broadcast protocols in distributed systems focusing on communication efficiency.

LDP-Auditor framework estimates privacy loss in Local Differential Privacy methods.

Exploring the threats posed by Rowhammer attacks on computer memory systems.

A new method improves identification of harmful packages in NPM and PyPI.

This study explores domain adaptation techniques for deep learning on encrypted data.

Introducing a novel algorithm to optimize sports tournament scheduling.

New methods improve the discovery of k-defective cliques in complex networks.

Learn about T-SaS, a method for improving model adaptability to data changes.

Investigating the complexities of edge coloring in circle graphs.

Techniques for efficient testing of data distributions under memory constraints.

This article investigates how to discern between modified and original uniform distributions.

A new method enhances clustering accuracy by addressing outliers effectively.

A look into how Kemeny rankings combine preferences efficiently.

Examining issues and solutions for learned query optimizers in database management.

Investigating the relationship between case characteristics and high-level business process issues.

A review of software methods for estimating item frequency in data streams.

Benne efficiently organizes data streams for real-time analysis and decision making.

StructRecon integrates molecular data for clearer research insights.

New methods assess how research challenges existing knowledge.

A look into semiring semantics and Ehrenfeucht-Fraïssé games in database applications.

A new approach to manage cloud resources effectively and quickly.

CRUISE-Screening simplifies the literature review process for researchers.

Introducing a multi-representation approach for better understanding scientific literature.

New methods assess how research challenges existing knowledge.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

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

Open data enhances collaboration and knowledge sharing in mathematical research.

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

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

Explore how threshold networks influence individual interactions through signed graphs.

Exploring challenges in determining zero terms within linear recurrence sequences.

Research reveals new bounds for signed double Roman domination in cubic graphs.

Investigating the complexities of edge coloring in circle graphs.

Explore how Fibonacci numbers can represent natural and negative integers.

This paper examines the size of independent dominating sets in planar triangulations.

This article discusses Kalai's conjecture and symmetry in polytopes.

Learn how ideas spread through networks using graph burning concepts.

Learn methods to create worst-case scenarios for concurrent programs.

This study investigates majority voting dynamics in social networks and their implications for elections.

FCCA improves model accuracy while ensuring user privacy in federated learning.

An overview of broadcast protocols in distributed systems focusing on communication efficiency.

Objcache improves data access and consistency for containerized applications.

A study on how CPUs and GPUs affect deep learning training efficiency.

A look into advanced recommendation systems using master-slave models for better user suggestions.

Grove provides a method for ensuring reliability in distributed systems.

New methods improve the precision of small satellite pointing using event sensors.

Researchers combine thermodynamics and linear algebra for efficient problem-solving.

Exploring security challenges in silicon photonic AI accelerators and detection methods.

Learn how to prepare and submit your scientific article effectively.

A framework designed for efficient memristor circuit simulation and energy estimation.

Hybrid systems combine analog and digital computing for better efficiency.

Learn about constant-depth circuits and their role in quantum memory systems.

This study improves SNN performance by factoring in axonal signal delays.

An overview of tree-controlled grammars and their role in language formation.

This article explores methods to differentiate binary strings using finite automata.

Explore how Fibonacci numbers can represent natural and negative integers.

A look at two types of limited automata and their language processing capabilities.

This paper investigates tree homomorphisms and their impact on regular tree languages.

Exploring finite automata's capabilities with translucent letters and their implications for computation.

This article explores the concepts and applications of weighted languages in computer science.

A look into pumping constants and their role in regular languages.

A new method simplifies the creation of transfer functions in volume rendering.

SMPLitex offers a new method to generate realistic 3D textures from single images.

Introducing a novel method for clearer data visualization in fusion energy and beyond.

AniPortraitGAN generates realistic 3D portraits from 2D images.

SyncDreamer enables creating multiple views from a single image easily.

DiffDance creates detailed dance sequences that match music effectively.

Introducing a framework for efficient 3D toonification while preserving original features.

SSIG provides a simpler method to compare floor plan similarities effectively.

A new method improves deep learning efficiency using analog processing and frequency-domain techniques.

Exploring security challenges in silicon photonic AI accelerators and detection methods.

A look into overcoming memory challenges in modern computing.

RRAM technology improves convolutional neural networks' speed and efficiency.

Exploring the benefits and design of upper body exoskeletons for mobility support.

Discover the role of compressed formats in enhancing AI performance.

A look into how P2LSG enhances stochastic computing efficiency.

A new approach enhances the HATS algorithm for efficient object classification.

SyntheWorld provides high-quality synthetic data for remote sensing challenges.

Exploring the integration of BCIs in the Metaverse for enhanced user experiences.

This article reviews the importance of reproducibility in child-robot interaction studies.

Explore how data visuals can evoke feelings of strangeness and unease.

Learn how to avoid common pitfalls in data visualization design.

Discover how AI is transforming the graphic design process.

A new label helps online shoppers consider nutrition and environmental impact.

A new tool helps individuals with motor disabilities create images easily.

Introducing EOR to improve fairness in ranking systems across diverse candidate groups.

Drifter enhances data quality for recommendation systems through real-time monitoring and alerts.

CRUISE-Screening simplifies the literature review process for researchers.

OutRank improves feature ranking for better recommendations and faster model searches.

Examining how ccTLDs shape the web's local presence.

Voice search technology evolves, addressing ASR errors for improved user experience.

ReOnto combines machine learning and ontologies to enhance relationship extraction in biomedical texts.

This method improves recommendations by linking user preferences across different domains.

This article discusses using LLMs to automate ontology learning from unstructured text.

A new method improves channel predictions for mobile communication environments.

A look into sum-rank metric codes and their practical significance.

Discover how NFC is changing device interaction and data sharing.

A method to identify human modifications in AI-generated writing.

Discover the potential of 6G and Integrated Sensing and Communication.

This article reviews methods to enhance communication in mmWave and sub-THz networks.

A method to improve communication across different languages and systems.

Learn methods to create worst-case scenarios for concurrent programs.

A look at gradings and their role in managing computational effects in monads.

A new approach streamlines verification for concurrent programs across various memory models.

A fresh approach to understanding agent interactions and knowledge in systems.

This article examines how to measure events in stochastic processes using Metric Temporal Logic.

Explores the relationship between minimal and constructive modal logics in reasoning.

A look at how relations simplify data organization and enhance analysis.

A new approach for selecting solvers in Pseudo-Boolean Optimization.

This article discusses using LLMs to automate ontology learning from unstructured text.

Introducing EOR to improve fairness in ranking systems across diverse candidate groups.

A study on how architecture affects model calibration in neural networks.

A framework for efficient adaptation of multimodal large language models.

A new method simplifies the creation of transfer functions in volume rendering.

Researchers explore PPG signals for easy diabetes monitoring.

Combining NLP and Sampling for smarter community governance.

Drifter enhances data quality for recommendation systems through real-time monitoring and alerts.

CDL aids in studying permutations and arrangements in computer and social sciences.

A study reviewing different formulations for cutting shapes efficiently.

New methods simplify complex polynomial optimization challenges for better solutions.

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

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

New algorithm enhances saving and loading processes for complex simulations.

A framework for analyzing complex data using graph structures.

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

A fresh approach to understanding agent interactions and knowledge in systems.

Research highlights smarter methods for assessing treatments for Opioid Use Disorder.

Motion prediction is vital for safe autonomous vehicle operation, enhancing traffic flow and decision making.

A new method improves analysis of complex systems by focusing on clusters.

Exploring innovative approaches to enhance robotic pathfinding in complex environments.

This method simplifies choosing algorithms and settings for machine learning tasks.

Assessing efficiency in MARL algorithms through communication and training methods.

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

A framework for efficient adaptation of multimodal large language models.

Using prototypes to enhance dataset comparison in computer vision.

A program that generates visually appealing typography tailored to context.

MusicLDM transforms text into original music, offering fresh avenues for creativity.

New methods enhance the accuracy of extracting singing melodies from mixed audio.

New methods aim to enhance audio captioning for better accuracy and efficiency.

New techniques enhance audio captioning quality assessment through automatic error detection.

This study explores voice quality classification methods and their significance in communication.

A new learning algorithm improves scheduling for mobile networks.

Examining how ccTLDs shape the web's local presence.

A look at how federated learning and model pruning enhance wireless network performance.

Exploring how user density impacts device connectivity in cities.

Introducing a novel approach to manage wireless network task scheduling effectively.

A review of software methods for estimating item frequency in data streams.

A new model improves detection rates for harmful online behavior.

A novel approach to improve security against harmful web traffic.

New algorithms enhance memory retrieval in Hopfield networks for better performance.

New strategies enhance neural networks' learning in real-world conditions.

This article explores GANs for creating stable Angry Birds structures.

Neural ODEs merge neural networks with dynamic systems for advanced learning.

This paper discusses methods for fitness approximation in genetic algorithms using machine learning.

Exploring the potential and challenges of Optical Neural Networks in computing.

A new method enhances job scheduling efficiency using deep reinforcement learning techniques.

Exploring the relational bottleneck and its role in understanding abstract concepts.

Examining how biological systems transport materials efficiently.

Study reveals shock wave behavior around circular cylinders at supersonic speeds.

Exploring a geometric method for eigenvalue approximation in banded Toeplitz matrices.

A look at non-harmonic Fourier matrices and the significance of their singular values.

A new method improves efficiency in solving partial differential equations.

An exploration of how material and shape affect wire behavior under stress.

Learn techniques to improve data accuracy in noisy environments.

A look into expanding circle maps and their significance in dynamic systems.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

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

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

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

Memory fragmentation affects computer performance, especially in demanding environments.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

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

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

Discover how DNA could change the future of data storage.

Exploring how edge computing improves static websites and their hosting.

Study reviews FLASH software performance on A64FX computer system for astrophysical simulations.

Research on improving energy efficiency in quantum circuit simulations using ARCHER2.

Discover the role of compressed formats in enhancing AI performance.

CGRAs and Morpher offer efficient solutions for machine learning tasks in smart devices.

A method that speeds up convolution operations in deep neural networks.

Learn how data arrangements impact performance and the role of evolutionary algorithms.

A new approach enhances the study of complex networks through efficient curvature computation.

Learn methods to create worst-case scenarios for concurrent programs.

A look at gradings and their role in managing computational effects in monads.

LoopTune optimizes machine learning code using deep reinforcement learning for better performance.

A new approach streamlines verification for concurrent programs across various memory models.

A fresh approach to ensure mixed quantum and classical programs are correct.

Learn how verified APIs improve SDN reliability and performance.

A new algorithm streamlines R1CS representation for enhanced ZKP clarity and efficiency.

A method to track application messages for safety and reliability.

A new approach enhances AAV maneuvers in tight orchard spaces.

A look into a unique mechanical design for complex movement.

This research unveils a system for efficient robot training across diverse tasks.

Introducing a flying robot that combines drone agility with blimp endurance.

This article reviews the importance of reproducibility in child-robot interaction studies.

New approach combines simulation and offline data for better robot testing.

ReLoc-PDR combines methods to improve indoor pedestrian navigation accuracy.

New methods improve the precision of small satellite pointing using event sensors.

This study examines how political views shape language on social media.

New methods improve the discovery of k-defective cliques in complex networks.

Research highlights smarter methods for assessing treatments for Opioid Use Disorder.

Using neural networks and dictionaries to identify COVID-19 symptoms online.

A new approach improves dynamic graph modeling for better predictions.

A new model enhances detection of cohesive groups in complex networks.

A new model enhances influence spread in social networks efficiently.

Strategies to handle key nodes in various networks effectively.

Investigating the relationship between case characteristics and high-level business process issues.

MLGuard offers a framework for safe and reliable machine learning applications.

A new approach helps DRL systems adapt quickly to changing environments.

A new method improves identification of harmful packages in NPM and PyPI.

A look at updating old programming languages for today's technology.

EdgeFL simplifies federated learning while ensuring data privacy and efficiency.

Exploring Moving Target Defense strategies to combat advanced cyber threats and uncertainties.

Learn how Dependency Matrices help visualize microservice interactions.

New technology aims to restore music quality lost in loudness compression.

New method promises quicker identification of speech disorders like aphasia.

New method uses ultrasonic sounds to confuse speech recognition systems without detection.

New methods improve the quality of synthesized speech using self-supervised learning.

A new method enhances the transcription of rare keywords in business conversations.

Federated Learning improves speech recognition while keeping user data private.

MusicLDM transforms text into original music, offering fresh avenues for creativity.

New methods enhance the accuracy of extracting singing melodies from mixed audio.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

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

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

SCoBots improve reinforcement learning by enhancing object relationship understanding.

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

A new approach enhances AAV maneuvers in tight orchard spaces.

New methods improve accuracy in locating signal sources across various fields.

Introducing a flying robot that combines drone agility with blimp endurance.

Enhancing GFM IBRs stability with novel control strategies for renewable energy integration.

A new technique improves real-time control of energy systems using reinforcement learning.

A look at how federated learning and model pruning enhance wireless network performance.

Robots use Bayesian methods to gather data safely in unpredictable environments.

This article examines how deep learning can enhance fairness in electricity pricing.