Computer Science

Exploring insights from game professionals about TTIG technology.

This paper discusses using light curtains for better robot navigation and object detection.

A new method enhances data protection for IoT networks.

Improving predictions and uncertainty management with Bayesian Neural Networks.

Examining how timing influences the validity of claims and evidence in fact-checking.

Learn how target networks improve reinforcement learning stability and performance.

New methods allow graph neural networks to learn securely from distributed data.

A look at how readability assessment has changed over time.

A new approach enhances the efficiency of multilingual speech recognition systems.

An analysis of bias measurement methods in language models and their shortcomings.

CARE offers a platform for enhanced collaborative reading and commenting on documents.

Examining fairness issues in language models across diverse languages and cultures.

Examining how timing influences the validity of claims and evidence in fact-checking.

New splits aim to fix issues in audio retrieval dataset.

A look at how readability assessment has changed over time.

This article assesses three models for summarizing text across different datasets.

An overview of coalition formation and stability in Prize Weighted Voting Games.

Discover the significance of algebraic circuits in problem-solving and computational efficiency.

A new algorithm improves efficiency in coloring graphs with three colors.

Exploring the intersection of quantum mechanics and machine learning.

Exploring how cardinality-minimality impacts reasoning in artificial intelligence.

A new approach to assess how similar processes behave in system verification.

Examining the complexities of CSP and SAT in computer science.

Exploring guidable local Hamiltonian problems in quantum computing and their significance.

A new approach to optimizing beam design through influence zones.

Local electricity markets enable efficient energy trading and management of renewable resources.

New designs in thermal cloaks improve heat flow management around obstacles.

Research reveals new findings about red blood cell shape and behavior.

This approach uses measurement data to simulate circuits, reducing errors.

We enhance virtual screening speed using optimized data preparation and GPU architecture.

Shape optimization improves designs across various engineering fields through parameter-free methods.

New modeling technique improves accuracy and speed in simulating blood flow.

LaplacianFusion enhances 3D human modeling through improved detail and adaptability.

A new way to visualize character interactions over time using broader time frames.

Explore the study of non-crossing paths and cycles in geometry.

A look into the significance and testing of convexity in geometry.

A look into depth measures in geometry and their significance.

Every polar zonohedron can unfold into a flat shape without overlapping.

New methods simplify clustering using coresets in geometric intersection graphs.

A look at the Wiener index and its role in optimizing network structures.

A look at how monitoring costs affect signaling games.

Participatory budgeting empowers citizens in budget allocation for community projects.

Examining independent agents competing over fronts in modern scenarios.

Analyzing decision-making in uncertain environments with hierarchical game strategies.

An overview of coalition formation and stability in Prize Weighted Voting Games.

An overview of demand response programs and their role in electricity management.

Researchers are examining privacy challenges in neural auction systems and potential solutions.

A new approach to crowdsourcing reviews through strategic player interactions.

COVERED dataset improves collaborative robots' understanding of environments.

A new model enhances medical imaging quality for better diagnoses.

A new method for quick assessment of earthquake damage to buildings.

A new method improves CNNs for image recognition efficiently.

Unlocking the potential of diffusion models in image editing through geometric insights.

A new method enhances control in text-to-image models.

A new approach to monitor driver behavior using roadside cameras shows promise for safety.

A new model improves image creation for training autonomous systems.

Examining fairness issues in language models across diverse languages and cultures.

A new approach to monitor driver behavior using roadside cameras shows promise for safety.

A look at ethical principles guiding cyber defense strategies.

Examining independent agents competing over fronts in modern scenarios.

Analyzing Alaska's special election reveals issues with voting methods and candidate support.

Exploring the ethical implications of assistive technologies for vulnerable populations.

This article examines the unique challenges faced by American Muslim women in domestic violence situations.

Learn how periodicity analysis reveals patterns in behaviors and activities over time.

Assessing vulnerabilities of synthetic data to privacy attacks for safer research.

Discussing methods to maintain individual privacy in machine learning models.

Investigating machine learning's role in protecting IoT devices from cyber threats.

Learn about encrypted control systems and their role in data protection.

A look at ethical principles guiding cyber defense strategies.

A new DNS resolver enhances user privacy and boosts performance.

Explainable AI enhances trust and understanding in cybersecurity systems.

A new system to improve vulnerability scoring and management in organizations.

This paper discusses flexible network designs and their impact on data transfer efficiency.

Garage offers safe and efficient data storage for small businesses and associations.

A look into algorithms that match items and requests in real-time environments.

A new algorithm improves efficiency in coloring graphs with three colors.

This article discusses a drone delivery system for rural and urban settings.

Learn how DAGs improve efficiency in parallel processing systems.

Explore the study of non-crossing paths and cycles in geometry.

This article examines Glauber dynamics for efficient sampling in the Hard-core model.

Learned indexes improve search speed and efficiency for geo-textual data.

A new dataset helps predict item returns for better retail strategies.

A method for quick sampling from multiple data sources without costly joins.

Revolutionizing how we access information from knowledge graphs.

A new method improves cardinality estimation for knowledge graphs, enhancing query processing efficiency.

Utilizing raytracing technology to improve data indexing on modern GPUs.

Automating model training on knowledge graphs for efficient insights.

Learn about the growing significance of data marketplaces in today's economy.

New datasets help identify and track software from NSF-funded research.

SAINE helps researchers easily find and categorize relevant scientific studies.

A survey reveals common challenges around authorship in academic collaborations.

A study on classifying DFT papers using topic modeling techniques.

A look at using style analysis for determining authorship of documents.

This study evaluates community detection methods and introduces a tool for better connectivity.

A method to retrieve visuals from scanned scientific literature.

An analysis of the reliability of Wikipedia references over time.

A guide to counting closure operators using isolated suborders in ordered sets.

Distance magic graphs reveal unique labeling properties and intriguing connections in graph theory.

Exploring key problems in semigroup and group theory and their significance.

Strategies for effective facility placement amidst uncertainty in various industries.

This article examines Glauber dynamics for efficient sampling in the Hard-core model.

Exploring the properties and real-world uses of graphs in various fields.

An algorithm for learning ordered multi-terminal binary decision diagrams efficiently.

Examining the complexities of CSP and SAT in computer science.

Discussing methods to maintain individual privacy in machine learning models.

Probabilistic computing uses p-bits for faster and more efficient problem-solving.

A mixed method that improves machine learning efficiency and user privacy.

Garage offers safe and efficient data storage for small businesses and associations.

Access large, labeled datasets for graph neural networks.

Learn how DAGs improve efficiency in parallel processing systems.

A novel approach to enhance machine learning in decentralized systems.

New system improves efficiency in training large-scale graph neural networks.

Probabilistic computing uses p-bits for faster and more efficient problem-solving.

Optical computing could reshape deep learning with its speed and energy efficiency.

New algorithms improve training efficiency for deep neural networks using in-memory computing.

New methods improve solutions for complex optimization problems using quantum technology.

Quantum networking connects devices using qubits, offering potential for advanced communication.

An overview of quantum computing advancements and the Q-Map technique.

A new framework integrates classical and quantum computing for efficient packing solutions.

Skyrmions may lead to new computing methods that are efficient and powerful.

Explore the structure and function of Asymmetric Causal Nets and their reversible forms.

This article explores the relation between special graphs and group theory.

A fresh approach to control biological systems using Boolean networks and P systems.

A new approach to assess how similar processes behave in system verification.

A deep dive into digit sums and automata theory.

A tool providing instant feedback on automata submissions for computer science students.

A new approach to visualize and analyze complex business processes.

Learn how DyVeRG tracks evolving connections in various fields.

Investigating ChatGPT's view on its own intelligence and implications for consciousness.

A new method enhances control in text-to-image models.

LaplacianFusion enhances 3D human modeling through improved detail and adaptability.

New method improves generator matrices for low discrepancy sequences in numerical applications.

A system that turns sketches into 3D clothing models effortlessly.

RemoteTouch enhances virtual interactions by simulating touch between participants.

New methods allow better control over image generation by separating content and style.

A new tool for easily comparing complex data sets.

MCS-T offers a new way to create realistic character movements using past data.

Probabilistic computing uses p-bits for faster and more efficient problem-solving.

A new design offers better security for memory access in computing systems.

A new approach enhances polynomial multiplication for secure data processing in modern devices.

Introducing efficient tiny classifiers for edge devices and tabular data.

New methods improve speed and energy use for transformers in language processing.

HitGNN streamlines the training of Graph Neural Networks using CPUs and FPGAs.

Gain competition attacks pose risks to optical NoCs, affecting performance and reliability.

Exploring efficient techniques for polynomial multiplication in homomorphic encryption.

Exploring insights from game professionals about TTIG technology.

Study reveals music can help ease cybersickness in VR experiences.

This system combines human input and AI for better event schemas.

Study reveals how winning or losing affects players' physical responses in esports.

A tool to help users influence machine learning decisions affecting their lives.

A new tool simplifies video editing for blind and low-vision creators.

A new method for real-time pupil detection enhances user interaction in various applications.

Inseq helps researchers analyze language model behavior and identify biases.

New splits aim to fix issues in audio retrieval dataset.

New methods allow graph neural networks to learn securely from distributed data.

A new tool analyzes tweets for timely disaster assistance.

A new dataset helps predict item returns for better retail strategies.

This study examines how language models predict emotional dimensions in text.

Access large, labeled datasets for graph neural networks.

Spacerini simplifies searching through large text datasets for researchers and students.

New methods offer better art suggestions by understanding user preferences and artwork themes.

Examining how street designs influence wireless network performance in urban areas.

Using bacteria to create tiny machines for smart drug delivery in cancer treatment.

Learn how Reverse Multi-Delimiter codes enhance data compression and access.

Intelligent reflecting surfaces improve performance in wireless sensing applications.

Techniques to manage interference in radar and communication systems for better performance.

A new method to enhance beam prediction efficiency using semantic information.

The importance of Age-of-Information metrics for timely updates in various applications.

A new approach combines EM and Arimoto-Blahut algorithms for better performance.

An overview of advancements in type theory, metatheorems, and their implications.

Exploring the significance and applications of strictly associative and unital categories in mathematics.

PyReason simplifies logical reasoning across various fields and applications.

Explore how agents interact and make decisions in complex environments.

Explore the structure and function of Asymmetric Causal Nets and their reversible forms.

A look into the Positivity problem and its implications in various fields.

A look into algorithms that match items and requests in real-time environments.

A look at the role of circular proofs and fixed points in logic and programming.

Using Physics Informed Neural Networks to tackle complex PDEs has shown promise.

A new model enhances medical imaging quality for better diagnoses.

An overview of SGD's role in solving linear inverse problems efficiently.

Improving predictions and uncertainty management with Bayesian Neural Networks.

Assessing vulnerabilities of synthetic data to privacy attacks for safer research.

Examining fairness issues in language models across diverse languages and cultures.

Discussing methods to maintain individual privacy in machine learning models.

A new hybrid model improves prediction of material properties using microstructure analysis.

A guide to the multi-GPU AMG preconditioner for solving large sparse systems.

Discover a method for efficient high precision calculations using lower precision arithmetic.

SurvLIMEpy enhances interpretability in Survival Analysis models through feature importance.

A new framework for optimizing sparse tensor operations and automatic differentiation.

This method improves parameter estimation in mathematical models without initial guesses.

EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.

Explore how Python and C++ work together for efficient data analysis.

Rang helps researchers document and recreate their computational environments for accurate analysis.

Exploring the advancements and applications of collaborative UAV technology.

Explore how agents interact and make decisions in complex environments.

A system enabling robots to work together safely in complex environments.

Exploring the significance of communication for learning in multi-agent systems.

Learn how UECB algorithm improves agent decisions in uncertain environments.

A new software agent helps users navigate privacy issues online.

Robot groups make collective decisions effectively in large environments.

Learn how advanced agents can improve wireless network performance.

Examining how images and text together enhance communication online.

BUONA-VISTA offers a fresh approach to evaluating video quality without human feedback.

A guide to streamline your academic paper submission.

Introducing CoVGT, a model advancing video question answering through dynamic reasoning.

This article presents an efficient method for assessing video quality using machine learning.

A new method enhances realism in generated images of people within complex backgrounds.

A robot that engages viewers during TV shows to boost interaction.

New approach improves speaker recognition using both voice and facial data.

Investigating machine learning's role in protecting IoT devices from cyber threats.

This paper discusses flexible network designs and their impact on data transfer efficiency.

A portable RFID solution improves item tracking with high accuracy.

A new DNS resolver enhances user privacy and boosts performance.

Machine learning enhances handover processes in ultra-dense mobile networks.

A new framework enhances communication efficiency in wireless networks using multi-agent reinforcement learning.

Learn how Proof-of-Location enhances security in IoT devices.

Learn how traffic simulation helps improve urban traffic flow and safety.

This article examines the role of crossover in evolutionary algorithms for better solutions.

Probabilistic computing uses p-bits for faster and more efficient problem-solving.

A new method for segmenting the hippocampus using efficient spiking neural networks.

This study shows how deep learning can estimate hardware performance accurately.

SpikeGPT combines Spiking Neural Networks with language processing for energy efficiency.

This article explores adapting EDAs for problems with multiple decision options.

A fresh approach to predicting market prices and returns using machine learning.

Pyribs offers a flexible framework for quality diversity optimization research.

Using Physics Informed Neural Networks to tackle complex PDEs has shown promise.

New methods improve accuracy in numerical simulations by preserving important invariants.

A look into the dynamics of interactions in systems influenced by randomness.

Research reveals effective strategies for managing saltwater intrusion in coastal aquifers.

New methods enhance efficiency in controlling systems over time.

New methods improve accuracy in solving initial value problems using radial basis functions.

New methods aim to improve analysis of high-dimensional data using statistical techniques.

Exploring a flexible method for solving complex equations effectively.

A new design offers better security for memory access in computing systems.

A novel OS design enhances speed and security for modern data centers.

A new approach to improve performance and resource allocation in WSCs.

An innovative tool for learning about resource management in diverse computing systems.

Businesses seek new ways to secure data in the cloud with confidential computing.

A new framework for easier FPGA use in virtual environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New method improves resource allocation for users with changing needs.

This article discusses adaptive modeling techniques for Cyber-Physical Systems using Validity Frames.

Exploring how digital twins enhance safety and trust in autonomous drone operations.

Research aims to improve search techniques using drones in SAR missions.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

MD-Bench optimizes molecular dynamics simulations for improved performance and analysis.

Examining the utility and privacy issues of location tracking devices.

A new system enhances AI performance in DareFightingICE using gRPC technology.

Explore how edge service hosting improves user experience and reduces costs.

Learn how quantization improves model efficiency for smaller devices.

AwkwardForth enhances Uproot for faster ROOT file processing.

Innovative algorithms improve resource scheduling without precise network state knowledge.

Learn how range regularization enhances AI model compression and quantization.

This method simplifies program creation with user-defined specifications.

Mizar gets a makeover with Rust, improving speed and uncovering bugs.

PyReason simplifies logical reasoning across various fields and applications.

A solution to enhance choreographic programming through automatic amendments.

Safe-DS makes writing data science code safer for everyone.

A new method improves robot learning from unclear demonstrations using probabilistic programming.

Two programming languages aim to clarify complex interactions in effectful programs.

A new method for flexible inference programming using algebraic effects.

COVERED dataset improves collaborative robots' understanding of environments.

This paper discusses using light curtains for better robot navigation and object detection.

A new automatic method improves LiDAR data alignment for forest mapping.

Exploring the advancements and applications of collaborative UAV technology.

New methods enhance soft robotics through integrated sensing and fluidic actuators.

CSIRO Data61 showcases robotics in complex underground environments.

Mobile robots can now lift heavy items using support from their environment.

Exploring how robots collaborate through imitation learning and communication.

A new method improves understanding of link predictions in complex models.

A new tool analyzes tweets for timely disaster assistance.

Examining how images and text together enhance communication online.

Examining independent agents competing over fronts in modern scenarios.

Thousands of Twitter users migrated to Mastodon, reshaping online interactions.

Introducing SHEEP for insights into relationships in signed networks.

Study reveals misinformation spread and user interactions on Twitter in 2020.

QuickCent offers an efficient way to measure node importance in large networks.

STACC enhances code comment classification for better software development.

Exploring how ChatGPT aids novice designers in software development.

New datasets help identify and track software from NSF-funded research.

Examining the security, privacy, and licensing issues of LLMs in coding.

New algorithms improve satellite efficiency for mission planning.

Pyribs offers a flexible framework for quality diversity optimization research.

A study on the effectiveness of assertion messages in unit tests.

Improving efficiency and clarity in data science notebook practices.

A new approach enhances the efficiency of multilingual speech recognition systems.

New splits aim to fix issues in audio retrieval dataset.

ProsAudit measures how well models grasp prosodic structures in speech.

An analysis of six speech recognition models focusing on speed and accuracy.

A new method enhances speech presence estimation in noisy environments.

A new approach enhances speech quality using probabilistic models.

Introducing UNA-GAN, a method for improving speech clarity in noisy environments.

D2Former model improves speech quality in noisy environments through innovative audio processing techniques.

Discover how everyday values shape human behavior and interactions.

A new approach enhances simulation of rigid body collisions with adaptable modeling.