Computer Science

Introducing VISER, a new approach for games with uneven information distribution.

A new method improves efficiency in discrete optimization using reinforcement learning.

TIP-Net improves heart imaging quality using SPECT technology.

New approach streamlines data integration for enhanced research efficiency.

A new method enhances anomaly detection for better software reliability.

The new model shifts focus to item popularity for better recommendations.

Language models exhibit new abilities as they grow and learn from diverse data.

A new method enhances language model predictions using smaller example groups.

An overview of how to assess GEC systems effectively.

Discover how advanced models enhance low-resolution images for better OCR performance.

This research uses machine translation to enhance factuality detection in clinical notes.

Language models exhibit new abilities as they grow and learn from diverse data.

A new method enhances language model predictions using smaller example groups.

Research explores balance in multilingual language models for fairness and privacy.

New methods improve how machines assess spatial relationships within images.

Research shows how AI can improve communication tools for those with complex needs.

This article examines the complexity of counting the Brouwer degree in polynomials.

Research reveals complex low-energy states in fermionic Hamiltonians, challenging current quantum theories.

New methods enhance the verification of quantum random sampling outcomes using trapped ion systems.

Introducing a fresh approach to calculating VC dimension for better model training.

Exploring the impact of random walks on algorithms and complex systems.

A fresh look at functions using discrete ordinary differential equations.

This article examines how travelers can navigate delays in public transport systems.

Introducing HCNN, a deep learning model designed for sparse tabular data.

A look into THB-splines and B ezier extraction for better design.

Introducing SA-ALAE, a model transforming engineering design generation.

This article presents a method for efficient 3D printed structures.

DiTTO combines machine learning with diffusion models for solving PDEs efficiently.

A framework combining pattern recognition and filtering enhances model reliability in complex networks.

Learn how a new approach improves error estimation in model reduction.

A model predicts motion of rigid bodies using images, addressing mass distribution challenges.

Learn how fine-tuning Llama 2 aids in financial news analysis.

A novel method improves realistic 3D models from limited data.

Explore methods to create clear right-angle crossing drawings with minimal bends.

A new algorithm improves the estimation of homology from noisy data points.

Learn how to estimate scalar curvature using a new intrinsic method.

This article examines min-k-planar drawings and their significance in graph representation.

A simpler approach to calculate Gromov-Hausdorff distances in metric spaces.

VoroMesh enhances 3D shape representation using Voronoi diagrams for improved reconstruction.

A look into how Fréchet distance assesses curve similarity across various fields.

Introducing VISER, a new approach for games with uneven information distribution.

This study analyzes the potential for MEV in Ethereum's Layer 2 networks.

A new method replaces randomness in decision-making with strategic games.

This article examines supply functions, market dynamics, and efficiency in electricity markets.

A new approach to set optimal prices without consumer envy.

A new algorithm enhances efficiency in solving fair parity games.

This article explores the complexities of multi-agent learning and its impact on stability.

Examining fair allocation methods for indivisible items among individuals.

Researchers improve object detection accuracy in traffic scenes using external knowledge.

Discover how advanced models enhance low-resolution images for better OCR performance.

A new method enhances motion prediction using auxiliary learning tasks.

This study improves traffic sign recognition using enhanced image techniques.

A new method improves shadow detection by separating layers.

A new network structure enhances object detection using RGB-D images.

Introducing a new approach to detect camouflaged objects effectively.

A new method using only text for visual storytelling generates engaging narratives.

Exploring the relationship between AI exposure and job risks in the workforce.

This framework combines fairness and robustness for responsible AI systems.

This study assesses how live polling quizzes affect Computer Science students' engagement.

New interventions seek to reduce bias in GNNs while maintaining accuracy in predictions.

Grad-CAM helps doctors trust AI in diagnosing medical conditions.

An exploration of how Saudi users perceive privacy in Google services.

A study reveals European attitudes towards AI, highlighting awareness, trust, and approval.

A study on using language models to classify political manifestos across various factors.

Introducing VISER, a new approach for games with uneven information distribution.

Research explores balance in multilingual language models for fairness and privacy.

A new approach enhances cybersecurity for cloud services by predicting VM threats.

This research improves sampling methods for studying cybercrime discussions online.

Phishing attacks using manipulated logos pose serious risks to users.

An exploration of how Saudi users perceive privacy in Google services.

Researchers reveal how malware can deceive antivirus through clever attacks.

ConRo enhances fraud detection by effectively identifying harmful sessions using deep learning.

Exploring new methods for efficient distance queries in graph algorithms using algebraic techniques.

Learn about VC-dimension and its role in analyzing graph structures.

An overview of the complexity in globally constrained Max-CSPs and their implications.

A new algorithm improves graph cuts for efficient data clustering.

Introducing a fresh approach to calculating VC dimension for better model training.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

A new method for counting independent sets in dense, regular bipartite graphs.

An overview of graph matchings, types, and their significance in various fields.

New approach streamlines data integration for enhanced research efficiency.

A look into existential rules and their significance in query entailment.

Optimizing databases with a focus on cost and performance.

A new system automatically fixes string data errors without user input.

KGrEaT assesses the quality and usefulness of knowledge graphs for various tasks.

New methods enhance table search efficiency using open government data.

Explore factors affecting data science project success and how to improve outcomes.

Exploring the challenges and solutions in searchable encrypted indexing.

A guide to enhancing knowledge acquisition from scientific papers using ORKG.

Hope shapes our lives, encouraging resilience and positive actions.

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 algorithm improves graph cuts for efficient data clustering.

Learn the significance of metric dimension in directed graphs and its applications.

An overview of graph matchings, types, and their significance in various fields.

Exploring the role of integral circulant graphs in enhancing quantum network efficiency.

This article examines random walks and their escape rates on unordered trees.

A look into the properties and significance of clique graphs in hexagonal lattices.

Learn about the systems behind lottery ticket designs and their significance.

Exploring various complexities and types of domino snake problems in combinatorial group theory.

New approach streamlines data integration for enhanced research efficiency.

A new framework enhances federated learning in multi-cloud settings.

A new framework enhances energy sharing in crowdsourced IoT environments.

A new approach enhances cybersecurity for cloud services by predicting VM threats.

PaLD offers efficient ways to analyze relationships in large datasets.

Megha enhances task scheduling efficiency in data centers through decentralized management.

Federated Learning enhances connected vehicle safety while protecting user data.

Investigating CXL memory's role in enhancing high-performance computing systems.

Learn the basics of how quantum computing works.

Exploring the potential and challenges of optical neural networks using light for computation.

Optical computing uses light to offer faster processing and energy efficiency.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

A new method enhances qubit mapping by focusing on single-qubit gates.

New quantum methods aim to improve particle track reconstruction efficiency at the LHC.

A new method enhances efficiency in generating permutations for optimization problems.

A look at the Bin Packing Problem and its impact on logistics efficiency.

A new approach to computing reachability probabilities in complex systems with infinite states.

Exploring the interactions and behaviors in layered cellular automata systems.

This work introduces innovative techniques for managing complex reactive programs effectively.

New methods enhance understanding of Max-Plus Linear systems in various applications.

Exploring new methods for converting non-deterministic automata to deterministic forms.

Exploring the impact of monus semantics on vector addition systems with states.

A new framework improves model learning by managing conflicts effectively.

Discover how agents use best-effort strategies in uncertain environments.

New methods improve feature tracking in climate research and molecular dynamics.

Exploring how visual cues improve teamwork between humans and robots.

A new method improves shape recovery through topological derivatives for better image reconstruction.

VALERIE22 dataset aids in developing safe automated driving through synthetic city images.

Dronevision revolutionizes 3D multimedia with a desk-sized display using flying drones.

A study on sensors vital for the performance of new drones.

A new approach uses maps to guide AI in creating artwork from simple sketches.

A new method for building 3D models from handheld camera images.

A new framework combines reinforcement learning and optimization for better task scheduling.

Ramulator 2.0 enhances memory research with a modular, fast simulation tool.

A new framework simplifies the design of machine learning accelerators for improved performance.

A new DSL enhances hardware design and verification, improving productivity and accuracy.

A new method enhances check-pointing efficiency in devices using ambient energy.

A dataset for predicting tensor computation performance on specialized hardware.

New robotic platforms are changing the way weeds are managed in farming.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

A novel method to simplify complex data visualization.

Innovative methods improve chatbots’ ability to mimic fictional characters.

This study examines mid-air haptic feedback in virtual reality for relaxation benefits.

Exploring the synergy between LLMs and ZTNs for better network management.

An exploration of how Saudi users perceive privacy in Google services.

A new method enhances user interface modeling for mobile apps.

A study links lunar patterns to cultural beliefs about rabbits.

A study on how user behaviors can measure robot interactions.

The new model shifts focus to item popularity for better recommendations.

Learn how clustering helps organize massive text data effectively.

ReCon aims to improve job matching by reducing congestion in recommendations.

A new approach to improve efficiency in assessing document relevance.

A new method enhances query intent classification in online shopping environments.

Investigating how large language models enhance personalized recommendations through dialogue.

SharpCF enhances recommendation systems while maintaining efficiency and accuracy.

SAMRec addresses data sparsity in recommender systems through effective training techniques.

Exploring hidden vulnerabilities in machine learning models and potential countermeasures.

Explore the latest developments in satellite communication and technology trends.

A new method to differentiate health conditions using ECG time series data.

Research shows how storage codes improve data recovery in cloud systems.

New method enhances group testing efficiency for pathogen detection.

A new method improves location accuracy using intelligent reflecting surfaces.

Exploring Beyond-Diagonal RIS for better wireless communication.

A look into methods for improving communication reliability amidst noise.

Understanding Petri nets and their equivalence through structure-preserving bisimilarity.

A look into existential rules and their significance in query entailment.

A look into the principles of Homotopy Type Theory and its impact.

An overview of key concepts in quantum computing, focusing on Sum-Over-Paths.

This paper examines methods for assessing the relatedness of concepts using DBpedia.

This article presents a new approach for handling noisy data in inductive logic programming.

This work introduces innovative techniques for managing complex reactive programs effectively.

A look at formal verification and safety architectures for automated driving.

A new method improves efficiency in discrete optimization using reinforcement learning.

Exploring hidden vulnerabilities in machine learning models and potential countermeasures.

A novel method to simplify complex data visualization.

New approach streamlines data integration for enhanced research efficiency.

This article examines weaknesses in test selection methods for deep learning systems.

This framework combines fairness and robustness for responsible AI systems.

Research highlights new ways to improve model defenses against adversarial attacks.

A new method enhances anomaly detection for better software reliability.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

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.

Introducing VISER, a new approach for games with uneven information distribution.

New methods improve territory protection against UAV threats.

Learn how Raft algorithms improve coordination in multi-agent systems.

AI agents must adapt to work effectively with new partners in various environments.

A study on how UAVs, workers, and cars can work together in disasters.

Analyzing how different agent abilities impact interactions and strategies.

Examining how symmetry enhances multi-agent reinforcement learning strategies.

A new approach enhances pathfinding for agents in shared spaces, reducing congestion.

Discover the impact of visual grounding in language and image interactions.

A new method enhances efficiency in video recognition using audio and visual data.

A new AI agent improves game testing efficiency and quality.

Dronevision revolutionizes 3D multimedia with a desk-sized display using flying drones.

A study on sensors vital for the performance of new drones.

A new framework improves item suggestions using different data types.

Discover EVE, a model improving understanding of images and text.

Research focuses on improving models that connect visuals and text through language understanding.

New methods improve data gathering in remote areas for virtual reality applications.

Federated Learning enhances connected vehicle safety while protecting user data.

A smartphone system allows divers to locate each other underwater without extra tools.

Early exiting improves speed and efficiency in signal classification.

An innovative approach to compress network traffic data efficiently.

SCC5G offers robust security features for critical communication over 5G networks.

This study reviews how IP addresses align with their registered locations.

Learn how entanglement enhances communication efficiency and security.

A new model integrates U-Net and Spiking Neural Networks for efficient image tasks.

SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.

Research on reservoir computing focuses on optimizing network designs for improved machine learning.

ReLiCA algorithm simplifies model creation using Cellular Automata rules and effective settings.

Examining how brain learning principles can enhance machine learning algorithms.

Exploring efficient models for similarity matching in machine learning.

Exploring the potential and challenges of optical neural networks using light for computation.

A groundbreaking approach to training neural networks without gradients.

Exploring BelNet's role in enhancing operator learning for complex problems.

This article presents a method for efficient 3D printed structures.

A look into solving complex fluid dynamics with the Weak Galerkin method.

DiTTO combines machine learning with diffusion models for solving PDEs efficiently.

Research on managing phase transitions using advanced numerical methods.

An overview of two methods for solving linear equations.

A new method improves fluid flow simulations using neural networks and finite element methods.

A new model helps predict and control disease spread in local areas.

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

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

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.

A look into best practices for improving system reliability under load.

A framework to accurately measure energy use in deep learning systems.

A study on the performance of three genetic algorithms in software refactoring.

A new method enhances agents' decision-making in changing environments.

A framework to identify sparse matrix structures using limited data.

This study examines how time limits affect software model optimization quality.

A new approach to modular reduction boosts performance in cryptography.

This article reviews benchmarks for assessing languages that integrate logic rules.

A fresh approach that combines ICL and code generation for improved predictions.

New tokenizer improves performance of language models for high-performance computing programming.

This work introduces innovative techniques for managing complex reactive programs effectively.

A new approach enhances data-based coordination languages for better performance.

Tau Prolog allows running Prolog code seamlessly in web environments.

Learn how refactoring deep learning code improves performance through automation.

A new DSL enhances hardware design and verification, improving productivity and accuracy.

A guide on Tydi's specifications for improved data transfer in design.

A new method helps robots understand complex tasks by breaking them into simpler steps.

A new method enhances motion forecasting using self-supervised learning strategies.

Exploring how visual cues improve teamwork between humans and robots.

New filtering method enhances robot state estimation using neural networks.

New methods improve how soft robots learn and adapt.

Science factories aim to automate research processes for greater efficiency and creativity.

This article introduces a quick and efficient system for robot localization using 2D images.

CLARI is a miniature robot that can change shape and navigate tight spaces.

A study on evolving rankings based on performance over time.

This article examines how beliefs develop in a world of misinformation.

New interventions seek to reduce bias in GNNs while maintaining accuracy in predictions.

UGT combines local and global graph information for better data analysis.

This research improves sampling methods for studying cybercrime discussions online.

A framework to assess GNNs' effectiveness in recommendation systems.

Examining how suspended Twitter accounts influenced political discussions and elections.

New methods identify linked accounts to reduce abusive content on social media.

This article examines weaknesses in test selection methods for deep learning systems.

BERTOps enhances log analysis for IT operations, aiding site reliability teams.

This study highlights Java developers' reuse of answers from StackOverflow on GitHub.

Examining the impact of refactoring on test code quality.

A workshop focused on improving the connection between Requirements Engineering and Testing.

A look at how startups tackle software development challenges.

A new method balances machine learning models for better performance.

QPLEX connects classical and quantum resources for efficient optimization solutions.

New methods improve sound representation in virtual and augmented reality.

FlexiAST allows models to adapt to various audio patch sizes efficiently.

Researchers are using machine learning to improve throat cancer diagnosis through speech analysis.

Polyffusion uses visual techniques to generate and control music effectively.

Researchers are using speech patterns to detect Alzheimer's earlier and more effectively.

Integrating metadata enhances performance in speech tasks like language identification.

This article discusses the Transducer model's real-time capabilities and recent improvements.

This study explores bias in audio models used for instrument recognition.

This article examines conditional obligations and their significance in ethical reasoning.

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

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.