Computer Science

A novel approach improves detection of AI-written content.

A new technique improves detection of backdoor attacks in federated learning models.

Explainability in AI is crucial for trust in critical fields like healthcare.

Counterspeech challenges harmful online speech while supporting victims and fostering dialogue.

A new method for analyzing interactions between people in various settings.

A new model improves low-resolution images efficiently.

A new analysis explores sparsity's role in enhancing neural network generalization.

WavePaint offers a faster, resource-efficient method for restoring images.

A novel approach improves detection of AI-written content.

New techniques enhance emotional understanding in speech processing tasks.

This study introduces a dataset to evaluate word complexity for non-native Japanese readers.

Counterspeech challenges harmful online speech while supporting victims and fostering dialogue.

This article discusses methods to safeguard privacy in machine learning by modifying text data.

This article tackles data challenges for Nigerian Pidgin processing systems.

Research on predicting labeled data requirements for effective model performance in NLP.

Introducing a new model to enhance online shopping search results.

A look into how multi-vote systems influence electoral outcomes and voter satisfaction.

Exploring the complexities of integer packing within geometric shapes.

A look at comparing C-finite functions through inequalities and algorithms.

This study focuses on minimizing network lengths connecting specific points in geometry.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

Examining how interactions over time influence disease spread in communities.

A new wavelet-based quantum approach enhances efficiency in solving partial differential equations.

Exploring matroid connectivity and its implications for quantum computing.

Exploring the impact of geometric deep learning on drug design processes.

Examining how polymer flooding affects sand in poorly consolidated rocks.

Automating cancer data extraction to enhance research efficiency.

Exploring the hybridized discontinuous Galerkin method for fluid dynamics.

A novel approach using tridiagonal systems for effective noise reduction in data analysis.

This study examines low-porosity structures inspired by biological designs for energy absorption.

This study examines the role of ML in enhancing metal additive manufacturing processes.

Learn how companies utilize viral marketing to gain market share.

This study focuses on minimizing network lengths connecting specific points in geometry.

This research examines methods to eliminate crossing segments using flips.

New model improves how knowledge graphs represent concepts and entities.

Discover the complexities behind Olivier Longuet's unique Calissons Puzzle and its mathematical implications.

This study examines various methods to analyze resting-state fMRI data.

New algorithm estimates Chamfer distance faster and more accurately for large datasets.

This study optimizes the location of preferable and undesirable facilities.

A new framework enhances data analysis by addressing multiparameter challenges.

A look into how multi-vote systems influence electoral outcomes and voter satisfaction.

A method for drones to enhance communication efficiency and reduce interference.

A new framework combines federated learning and blockchain to enhance data protection.

Combining neural networks and logic to tackle Sudoku puzzles effectively.

Introducing CongestEXP, an algorithm improving player decisions in shared resource scenarios.

Learn how companies utilize viral marketing to gain market share.

This paper examines how false information affects player decisions in noisy games.

A new method aims to enhance peer reviews by collecting authors' self-rankings.

A new model enhances brain image segmentation efficiency and accuracy.

Introducing STTracker for improved tracking accuracy in 3D space using point clouds.

A new defense method tackles adversarial attacks on object detection in remote sensing images.

A new method enhances the analysis of social interactions in egocentric videos.

A new technique improves detection of backdoor attacks in federated learning models.

A new method for analyzing interactions between people in various settings.

MIST allows users to stream medical images at various resolutions efficiently.

A new model improves low-resolution images efficiently.

Explainability in AI is crucial for trust in critical fields like healthcare.

Counterspeech challenges harmful online speech while supporting victims and fostering dialogue.

This article discusses how interpretability in AI influences moral choices.

Study examines how explanations affect passenger safety and decision-making in autonomous vehicles.

New algorithms adapt AI behavior to evolving moral values.

Addressing fairness in machine learning models across multiple tasks.

Examining the role of AI chatbots in shaping educational assessments and learning.

A study on the healthcare challenges faced by nursing home residents in the Basque Country during the pandemic.

A new technique improves detection of backdoor attacks in federated learning models.

A new framework combines federated learning and blockchain to enhance data protection.

A deep dive into the security challenges of Ethereum's smart contract verification.

Research shows how machine learning can identify World War II cipher types.

DUBA is an advanced method for stealthy backdoor attacks on AI models.

IoTDevID provides a method for accurate identification of diverse IoT devices.

This paper discusses model extraction attacks and defenses in inference serving systems.

Empowering patients with control over their health data and ensuring privacy.

Exploring the complexities of integer packing within geometric shapes.

This study focuses on minimizing network lengths connecting specific points in geometry.

Learn how minimal separators impact various fields including computer science and network analysis.

A look into improving distribution approximations using moments and spectral properties.

New framework boosts performance in prophet inequality scenarios through sharding and Poissonization.

Discover efficient methods for string handling using DAWGs and suffix trees.

Analyzing treewidth reveals insights into complex graph structures and algorithms.

Research on memory-efficient algorithms for Dominating Set and Vertex Cover in planar graphs.

Learn how NARM identifies patterns in numerical datasets across various industries.

A new technique improves database analysis speed by reducing data movement.

Learn how minimal separators impact various fields including computer science and network analysis.

Automating cancer data extraction to enhance research efficiency.

Introducing a new approach to benchmark datasets in entity resolution for better evaluation.

An overview of methods to predict image beauty using diverse datasets.

A solution for accessing data across different blockchains seamlessly.

Discover how APRIL improves spatial queries performance and efficiency.

Analyzing research papers for accuracy through statistical methods.

This study aims to clarify repository duplications across multiple registries.

A new tool helps researchers collect text data from 4chan easily.

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.

This study focuses on minimizing network lengths connecting specific points in geometry.

Learn how graph sparsification simplifies structures while retaining key characteristics.

Innovative algorithms offer faster solutions for finding paths in undirected graphs.

Exploring the role of curvature in understanding network connections and community detection.

Examining how interactions over time influence disease spread in communities.

A look into colored mixed graphs and their relationships.

A look into codes in graphs and their roles in various fields.

Leveraging LLMs to clarify complex supply chain optimization results.

A method for drones to enhance communication efficiency and reduce interference.

This study evaluates CRNs' performance under adverse conditions, proposing a new runtime measure.

A novel approach to personalized recommendations in decentralized networks.

A solution for accessing data across different blockchains seamlessly.

Exploring the importance of reproducibility in generative AI systems.

FedInit improves device collaboration in federated learning by addressing client drift.

Addressing risks in hardware design through resilience and collaboration.

Invariant Dropout improves training efficiency by managing device performance variations.

Exploring the potential of DNA for advanced data storage and computation.

A new system mimics brain functions for efficient learning and processing.

Exploring thermodynamic binding networks for better detection of small molecules.

This study presents a deterministic method for efficient and accurate stochastic computing.

Molecular communication opens new ways to transmit information using tiny molecules.

New method reveals overlooked energy challenges in MAGIC design for memristors.

A look at how in-memory computing is changing data processing.

New methods improve the accuracy of nanodevices in medical applications.

Discover efficient methods for string handling using DAWGs and suffix trees.

A look into how synchronizing automata enable systems to reset states effectively.

Efficient techniques for improving Earley parsing in natural language processing.

New methods improve the handling of string constraints in programming.

New algorithm greatly improves efficiency in simulating labeled transition systems.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A new approach to evaluate the performance of probabilistic programs using VASS.

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

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

A new transformer-based method improves segmentation of 3D meshes for various applications.

A new approach improves digital stippling by merging techniques for better art.

SketchMetaFace helps beginners create 3D faces easily and quickly.

Transform simple text into captivating animated images effortlessly.

New algorithm estimates Chamfer distance faster and more accurately for large datasets.

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

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

Understanding Hardware Trojans and their impact on electronic device security.

Addressing risks in hardware design through resilience and collaboration.

Introducing Chiplet Cloud to support large language models efficiently and cost-effectively.

NeuroBlend optimizes neural networks for efficiency and speed on hardware devices.

New techniques in digitization improve efficiency in deep learning and data processing.

A look at how in-memory computing is changing data processing.

Discover how SNNs and FPGAs create efficient AI solutions.

A method to secure NoC layouts against unauthorized access is proposed.

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

Explainability in AI is crucial for trust in critical fields like healthcare.

A new approach simplifies board game creation using AI technology.

This paper examines biases in word embeddings using a Bayesian approach.

Study examines how explanations affect passenger safety and decision-making in autonomous vehicles.

FeedbackBuffet uses AI to provide tailored writing feedback for improvement.

SketchMetaFace helps beginners create 3D faces easily and quickly.

Examining how hybrid work impacts interactions and collaboration in the office.

MIST allows users to stream medical images at various resolutions efficiently.

Introducing a new model to enhance online shopping search results.

Filter bubbles limit diverse perspectives and impact decision-making in the digital age.

This research introduces a system for matching music to video content effectively.

A dataset transforming how businesses choose store locations across major cities.

Analyzing research papers for accuracy through statistical methods.

Learn about the Causal Video Summarizer and its benefits in video summarization.

This research highlights new methods for effective video summarization based on user queries.

Enhancements in diffusion models boost speed and accuracy in data creation.

A novel approach enhances the performance of one-bit massive MIMO systems.

Exploring the potential of molecular communication in science and technology.

A novel algorithm enhances data recovery from limited observations.

R-PMAC enhances data communication efficiency in industrial settings.

New methods improve communication in crowded networks using meta-learning.

New methods aim to enhance communication in diverse teams by clarifying context.

Reliability is crucial for effective wireless communication across important applications.

A look into implicative algebras and their role in logic and computation.

A look at comparing C-finite functions through inequalities and algorithms.

Exploring intuitionistic multiplicative linear logic and its significance in reasoning.

This paper presents a method for simplifying LTL specifications in reactive systems.

A look into how players share information in multi-player games.

A look into first-order logic enhanced by data management.

A look at how structured variable addition improves problem-solving efficiency.

This paper unveils a framework for Godel-Dummett logics using nested sequent systems.

A novel approach improves detection of AI-written content.

A new model enhances brain image segmentation efficiency and accuracy.

Enhancements in diffusion models boost speed and accuracy in data creation.

A new technique improves detection of backdoor attacks in federated learning models.

Explainability in AI is crucial for trust in critical fields like healthcare.

New model LinDiff improves speech synthesis speed and quality.

MIST allows users to stream medical images at various resolutions efficiently.

A new analysis explores sparsity's role in enhancing neural network generalization.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

New software enhances XCT imaging with machine learning and data consistency.

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.

New algorithms adapt AI behavior to evolving moral values.

Teaching machines to predict beliefs of others boosts teamwork and performance.

Exploring the potential of wireless networks enhanced by generative AI technology.

A new approach improves the execution of multiple trading orders efficiently.

MARBLER aids researchers in testing teamwork among robots in realistic settings.

A new text-based environment helps machines learn real-world tasks using scripts.

A new model improves predictions for systems with multiple interacting agents.

Miners enhance rewards through strategic connections and reduced latency.

This research introduces a system for matching music to video content effectively.

Discover the evolving Metaverse and its impact on communication and economy.

Transcripts enhance understanding of educational videos, addressing audio quality issues.

SEPT improves wireless transmission of 3D point clouds using deep learning.

This dataset aims to improve video news retrieval across five languages.

New methods enhance how models select frames for answering questions from videos.

A new method enhances video call quality while saving bandwidth.

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

Exploring Starlink's satellite traffic management and data flow.

Exploring the importance of XAI in enhancing O-RAN network efficiency.

Research shows low interference risk from indoor Wi-Fi 6E devices.

IoTDevID provides a method for accurate identification of diverse IoT devices.

Examining global DNS hosting and its effects on national control and security.

Digital Twin technology is reshaping wireless networks for better performance and reliability.

Examining the integration of O-RAN and V2X for improved vehicle communication.

This study examines the impact of character interactions on TV show ratings.

Exploring methods for solving inverse problems in 3D printing.

This study compares CMA-ES and GES for building better model ensembles.

A new method improves language models' adaptability to new languages with less data.

Using real-time data to improve disease outbreak predictions.

MOVE offers an innovative approach to balance multiple goals in optimization tasks.

This study examines resource sharing and energy transparency in software engineering research.

Exploring vulnerabilities in AI models due to deceptive imagery.

Discover how SNNs and FPGAs create efficient AI solutions.

A hybrid approach improves accuracy in radiation movement studies.

A new approach to improving fluid simulation accuracy through effective outflow management.

This article examines how acoustic waves travel in gases with changing density.

A high-order approach enhances understanding of two-layer water flows.

A framework to enhance image classification performance with limited data.

Exploring methods for solving inverse problems in 3D printing.

Discover recent insights into efficient optimization methods and their practical applications.

Streamline complex problem simulations using reduced order models and effective management strategies.

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.

A new approach improves performance in diverse computing systems.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

This study uses machine learning to enhance data storage efficiency through performance modeling.

New tools make it easier to run powerful language models on standard hardware.

This article reviews methods for detecting anomalies in vehicle CAN communication.

A new method enhances GPU setups for fluid dynamics simulations via machine learning.

Optimizing sparse tensor operations for improved performance and efficiency.

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

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

Rockmate automates memory optimization for training large deep learning models efficiently.

A solution for accessing data across different blockchains seamlessly.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

A look at improving efficiency in automatic differentiation for machine learning models.

Scenic 3.0 enhances modeling for systems like self-driving cars with 3D capabilities.

A new framework allows tailored synthetic data generation to meet varied organizational needs.

Combining AI and verification tools enhances router configuration accuracy and reduces manual work.

A new method for depth estimation using a single camera in robotics.

A new method improves robot pathfinding and target assignment efficiency.

Study examines how explanations affect passenger safety and decision-making in autonomous vehicles.

Study examines factors affecting roll stability in biomimetic underwater robots.

Study investigates NAO robot's influence on people's perceptions in social settings.

This article discusses the use of quadruped robots in pharmaceutical labs.

This article examines how ARMoD enhances interactions between robots and humans.

A new method improves object classification for autonomous ships by estimating uncertainty.

Exploring the growth and trends of digital fashion in Decentraland.

GDGESN improves the analysis of how information and diseases spread.

Using real-time data to improve disease outbreak predictions.

A new algorithm for the temporal vertex cover problem in dynamic networks.

This study examines the impact of character interactions on TV show ratings.

Examining gender imbalances in collaboration and leadership within the ballet industry.

SpreadDetect effectively tracks changes over time in complex data sets.

A novel method for analyzing connections in multiple networks simultaneously.

A method to find and fix errors in DNN model conversion.

A new method enhances code search through smarter query reformulation.

A new method leverages language models to enhance compiler bug identification.

Logs2Graphs enhances detection accuracy using graph-based methods for event logs.

A study on unit test generation effectiveness between ChatGPT and EvoSuite.

Flexible web tools transform the modeling landscape for developers and users.

Explore how NLP and LLMs transform programming tasks.

A study on the complexities of bugs across multiple programming languages.

New techniques enhance emotional understanding in speech processing tasks.

New model LinDiff improves speech synthesis speed and quality.

A new approach to audio compression reduces file size without losing quality.

Techniques to improve speech recognition amidst background noise.

HiddenSinger improves singing voice quality using advanced AI techniques.

New methods improve speech clarity for electrolarynx users.

Researchers blend visual and sound features to improve speech for electrolarynx users.

A study highlights how ageing affects automatic speaker verification performance.

An overview of complex projective hypersurfaces and their significance in mathematics.

New model improves how knowledge graphs represent concepts and entities.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

Explore the role of Gröbner bases in solving polynomial equations.

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.

A method for drones to enhance communication efficiency and reduce interference.

Research develops encrypted control for safer PAM applications.

A method to find and fix errors in DNN model conversion.

A new method enhances state estimation with efficient updates over time.

Learn how minimally reactive networks facilitate consensus among connected systems.

R-PMAC enhances data communication efficiency in industrial settings.

Creating safe and efficient air transportation in cities requires careful planning.

A look at how backward reachability helps manage complex systems safely.