Computer Science

Deep learning techniques enhance electron microscopy images for better brain analysis.

A new method in machine learning enhances model adaptability across various data types.

Exploring methods to improve data translation without labeled pairs.

Vlogger simplifies video blogging, making it quicker and easier for creators.

A new method improves the prediction of molecular shapes using machine learning.

A new dataset enhances the connection between language and 3D environments.

A new method improves ECG analysis using machine learning with minimal labeled data.

Research improves force prediction in robotic surgery using visual data and machine learning.

A new method to monitor and predict the spread of online rumors.

Examining how social media fuels eating disorders and their impact on individuals.

T5LLMCipher shows promise in identifying AI-written content effectively.

A new dataset enhances the connection between language and 3D environments.

Examining and classifying racist language on Twitter, focusing on Ecuador.

A new dataset enhances chatbot interactions by incorporating user emotions and demographics.

A study on detecting offensive content across multiple languages.

Strategies to enhance QA models when labeled data is scarce.

This paper examines the decoding challenges of zero-rate codes in error correction.

SARRIGUREN improves SAT solving for dense clause instances with a unique counting approach.

Examining proof systems, their methods, and their connection to satisfiability solving.

New methods improve efficiency in matrix updates and algorithms.

An exploration of efficient higher-order functionals and their implications in computing.

Examining how pigeonhole principles and Ramsey theory shape search problems in computer science.

Quantum pseudorandom state scramblers enhance random state generation in quantum computing.

Examining the complexities of reconfigurable routing in modern data center networks.

MatSciRE streamlines data extraction from material science articles to aid battery research.

A new model predicts material behavior efficiently using machine learning techniques.

Exploring methods to make AI in finance more understandable and trustworthy.

A novel approach guarantees mass conservation in fluid dynamics models.

A new system streamlines PanAir processes for efficient aircraft analysis.

A look into time slot allocation and its effects on train competition.

A novel SPH approach improves simulation for plates and shells under deformation.

Exploring the integration of machine learning in water electrolysis technology.

Exploring methods to study overlapping curves in geometry and algebra.

New techniques improve diameter calculations for unit-disk graphs, aiding efficient network analysis.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

A novel approach to stabilize player strategies in congestion games with limited information.

This article proposes Decent-BRM to support solo miners over mining pools.

Discover the vital role receivers play in effective communication dynamics.

Exploring methods for fair resource and task distribution based on preferences.

Learn how to design effective trade mechanisms for small market participants.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Creating a balanced platform for organizations to share and benefit from data insights.

This article explores using game theory to enhance communication through language models.

New methods enhance MRI imaging by generating absent sequences for better diagnoses.

ProvNeRF improves 3D scene representation using limited images by analyzing point origins.

Deep learning techniques enhance electron microscopy images for better brain analysis.

This study introduces WAVES, a benchmark to evaluate watermarking techniques against various attacks.

A new method in machine learning enhances model adaptability across various data types.

Exploring methods to improve data translation without labeled pairs.

A method for breaking down 3D scenes into meaningful parts.

Vlogger simplifies video blogging, making it quicker and easier for creators.

Examining how social media fuels eating disorders and their impact on individuals.

An analysis of how people use LLMs for health-related information.

This article reveals how views affect information found online.

A look at how machine translation reflects and reinforces gender bias.

Investigating the risks of jailbreak attacks on Large Language Models.

Examining the role of social practices in motion capture technology.

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

Explore how transparency in smart home devices impacts privacy and user trust.

This article discusses the role of automated systems in safeguarding IT infrastructures.

New framework improves detection of software vulnerabilities using innovative techniques.

This study introduces WAVES, a benchmark to evaluate watermarking techniques against various attacks.

Learn about Zero Trust security and its impact on organizational safety.

New methods aim to protect AI models from attacks using optimized strategies.

Contrastive unlearning efficiently removes data influence while preserving model performance.

Examining the risks of integrating Foundation Models into Federated Learning systems.

CleanSheet advances model hijacking without altering training processes.

A look at algorithms for maintaining minimum cuts in changing graphs.

Research focuses on optimizing graph connections through terminals and Steiner nodes.

SARRIGUREN improves SAT solving for dense clause instances with a unique counting approach.

Learn how q-digests summarize data while ensuring security and privacy.

Introducing a new method for faster network analysis and reconstruction.

This work presents methods for generating trees to model graphs effectively.

A guide to choosing billboard slots that maximize advertising impact.

Discover the vital role receivers play in effective communication dynamics.

A new system aims to improve pattern detection in large log databases.

A guide to choosing billboard slots that maximize advertising impact.

A new system improves schema matching accuracy using generative tags and advanced features.

This study presents methods to reduce regret in billboard advertising slot allocation.

A system to streamline data collection on superconductors for improved research accuracy.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Enhancing scientific data documentation is vital for fair ML practices.

This study enhances case law research through combined topic modeling and citation analysis.

Explores the connection between academic citations and scientific disruption.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

This work presents methods for generating trees to model graphs effectively.

This article studies maximal cliques across various random network models.

A look at hypergraphs and their significance in analyzing complex connections.

Exploring methods to improve search efficiency in trees with varying node costs.

Examining the complexities of reconfigurable routing in modern data center networks.

A study on point arrangements and their implications in combinatorics and group theory.

This article examines the connections in friends-and-strangers graphs and their implications.

Explore how character order affects BWT performance in data compression.

A new framework enhances memory use in large-scale deep neural networks.

Loimos simulates disease spread in communities for better outbreak management.

A new co-scheduling algorithm enhances resource management in high-performance computing systems.

A new algorithm enhances communication speed in high-performance computing.

A new tool revolutionizes ocean simulations to improve climate predictions.

A novel approach ensures memory safety while sharing GPUs among applications.

A new library improves performance in memory-centric computing systems.

A new method enhances federated learning by reducing communication burdens and tackling client drift.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

This article analyzes succinctness in safety and cosafety languages using Linear Temporal Logic.

Discover how dependent variables can streamline reactive synthesis processes.

A look into Parametric Timed Games and their applications in real-time systems.

New methods improve the safety verification of Bayesian Neural Networks against attacks.

Examining challenges transformer models face in learning structural recursion.

New methods improve efficiency in automata learning for complex systems.

A study of deterministic Parikh automata and their role in processing infinite words.

A method for breaking down 3D scenes into meaningful parts.

This dataset advances evaluation methods for realistic 3D object rendering.

A model creates realistic 3D shapes from various inputs rapidly.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

New method enables realistic 3D rendering from regular photos.

A new model enhances community search by integrating multi-dimensional edge attributes.

A look at how art and technology merge to create lifelike visuals.

This article presents a simpler way to render fabric details effectively.

Exploring the impact of hardware accelerators on Large Language Models.

A new framework enhances GPU performance for deep learning tasks.

A new method improves efficiency and design quality in logic synthesis using machine learning.

A low-power op-amp design for improved biomedical applications.

Learn how CNM and CIM optimize data handling for machine learning.

A look at advancements in THz communication technology for IoT.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

A new dataset enhances chatbot interactions by incorporating user emotions and demographics.

Exploring how designers can effectively use large language models in their work.

This article reveals how views affect information found online.

Examining the barriers and resources for young adults seeking mental health help.

A look at mixing music, blending technical skills with artistic vision.

Study analyzes how users interact with two search methods for locating images.

A study reveals common ethical issues in mobile app reviews.

Different ways of showing examples can shape problem-solving skills.

This article reveals how views affect information found online.

Learn how conversational QA models are changing user interactions with AI.

Study analyzes how users interact with two search methods for locating images.

MatSciRE streamlines data extraction from material science articles to aid battery research.

This study enhances case law research through combined topic modeling and citation analysis.

Optimizing term selection enhances personalized recommendations in information retrieval.

A system to help MPs find relevant documents efficiently.

A method to identify new antisemitic terms in social media discussions.

Research reveals simplicity bias impacts predictions in random logistic maps.

This paper examines the decoding challenges of zero-rate codes in error correction.

Research on multidimensional circulant graphs boosts quantum error correction methods.

A look at how differential privacy safeguards individual data privacy.

A detailed guide to subsethood and granules in information theory.

Innovative methods improve wireless communication speed and fairness among devices.

UAVs enhance VHF communication, improving coordination in military operations.

Exploring Age of Information and queuing systems for real-time updates.

A look into initial semantics and its role in programming languages with variables.

This article analyzes succinctness in safety and cosafety languages using Linear Temporal Logic.

A new approach simplifies the creation of robotic swarms for various tasks.

A look into tools for verifying optimized software through scheduling languages and deductive verification.

A new method enhances proof generation for SAT Modulo Monotonic Theories.

Introducing Origami, a protocol enhancing interactive proofs for lookups using folding techniques.

Discover how dependent variables can streamline reactive synthesis processes.

Examining proof systems, their methods, and their connection to satisfiability solving.

This article discusses the role of automated systems in safeguarding IT infrastructures.

This study introduces WAVES, a benchmark to evaluate watermarking techniques against various attacks.

Robots acquire skills from human actions through imitation learning.

SpecSTG improves traffic predictions by integrating spatial and temporal data.

Exploring methods to improve data translation without labeled pairs.

Discover how smoothness can enhance hyper-parameter tuning in software analytics.

New methods aim to protect AI models from attacks using optimized strategies.

Multi-task learning enables machines to improve performance by sharing knowledge across tasks.

A framework for analyzing complex data using graph structures.

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

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

A look at numerical computation and its applications in various fields.

Examining the efficiency and fairness in real-time vehicle task assignment.

A new method to improve decision-making in multi-agent environments.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

Exploring DiSC-UCB algorithm for effective action selection in uncertain environments.

Exploring how social identity shapes choices in AI agents for urban transportation.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Robots can work better in teams by sharing their abilities.

Innovative methods to enhance task execution and reduce failures in crowdsourcing.

Vlogger simplifies video blogging, making it quicker and easier for creators.

Examining energy use and impact of video streaming on the environment.

A unified approach to assess fish feeding using audio and video data.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

Exploring the potential of upper mid-band frequencies for cellular networks.

Learn how Virtual WANs can enhance connectivity for businesses.

A new algorithm enhances communication speed in high-performance computing.

A new approach enhances scheduling for improved efficiency in industrial IoT.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

New methods enhance time synchronization security against delays from cyber attacks.

This study examines cost-effective synchronization of SDN controllers for AR and VR demands.

Utilizing Ensemble Deep Neural Networks for timely data collection in drone-assisted networks.

Discover how the brain predicts outcomes and manages uncertainties in decision-making.

New algorithm improves crystal structure prediction using multi-objective strategies.

Assessing how prepared drivers are in conditionally automated cars.

Improved forecasting methods enhance power management and reliability.

Study reveals strong patterns in depthwise-separable CNNs linked to biological vision.

Learn how sign averaging improves optimization in noisy environments.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

A novel approach for addressing elliptic PDEs with irregular boundaries.

A new method transforms how we study evolving surfaces.

A new approach to stability analysis using reproducing kernel spaces.

This study examines how sound waves scatter off complex fractal shapes.

Innovative methods improve predictions of wave interactions with materials.

A novel approach guarantees mass conservation in fluid dynamics models.

A new system streamlines PanAir processes for efficient aircraft analysis.

This article presents a method to solve the NLS equation while conserving mass and energy.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

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.

Learn how Virtual WANs can enhance connectivity for businesses.

A new algorithm enhances communication speed in high-performance computing.

Learn how to analyze computer system performance using hierarchical methods.

Exploring Age of Information and queuing systems for real-time updates.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

New methods streamline PageRank updates as networks change.

A closer look at the performance and challenges of large language models in practice.

A look into initial semantics and its role in programming languages with variables.

A look at combining behavior trees with Lingua Franca for improved automation.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

A look at how SAM improves program execution with session types.

A look into tools for verifying optimized software through scheduling languages and deductive verification.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

A flexible system for better training of large neural networks.

A look into how meaningfulness shapes programming language design and evaluation.

Robots acquire skills from human actions through imitation learning.

GDMP enhances robot movements and human assistance by improving interaction efficiency.

A new dataset enhances the connection between language and 3D environments.

New methods enhance robot learning for diverse environments using data approaches.

Research improves force prediction in robotic surgery using visual data and machine learning.

CathSim offers a cutting-edge simulator for training robots in endovascular procedures.

A new method combines camera and Lidar data for more accurate object positioning.

Examining how cars can operate without precise location data.

A new method to monitor and predict the spread of online rumors.

Examining how social media fuels eating disorders and their impact on individuals.

A new method to improve estimating data category prevalence.

A new model tackles challenges in graph neural networks using power series.

A new method merges satellite images and mobile data for urgent event response.

New methods improve accuracy and efficiency in predicting network connections.

A new framework enhances anomaly detection in graph data using active learning techniques.

A look at hypergraphs and their significance in analyzing complex connections.

New framework improves detection of software vulnerabilities using innovative techniques.

Discover how smoothness can enhance hyper-parameter tuning in software analytics.

Leveraging AI to improve the analysis and security of smart contracts.

Recognizing hidden flaws improves software vulnerability prediction and security practices.

A study reveals common ethical issues in mobile app reviews.

A new approach simplifies the creation of robotic swarms for various tasks.

Understanding software licenses is essential to avoid legal risks in development.

A user-friendly tool for managing research data and code versions.

Exploring how gestures and expressions enhance our understanding of spoken language.

Exploring new methods in sound detection and localization using synthetic data.

A new system helps musicians experience sound on a virtual stage.

New method improves detection of fake audio segments in recordings.

Computers are learning to separate rhythm and harmony in music for creative applications.

Microsoft's MuLanTTS offers natural and expressive French text-to-speech capabilities.

New datasets and methods improve vehicle classification for better traffic management.

New methods improve accuracy and speed in speech recognition technology.

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

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

This article discusses the role of automated systems in safeguarding IT infrastructures.

This article examines how solar mini-grids improve life in rural Kenya and Nigeria.

A new method combines camera and Lidar data for more accurate object positioning.

Examining how cars can operate without precise location data.

Nano-UAVs collaborate to map and explore environments effectively.

A framework for stable, reliable power systems with renewable resources.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

Discover how neural networks improve the efficiency of model predictive control.