Computer Science

A new approach uses Graph Neural Networks for better user pairing in wireless systems.

Multi-robot systems improve efficiency and reliability across various fields.

New methods enhance robot teamwork despite time delays in control.

A new approach to align AI language models with societal norms through simulated interactions.

New method improves AI model adaptability and efficiency.

This article discusses improvements in Levin Tree Search using context models for problem-solving.

A new method combines similar datasets for better anomaly detection.

Combining global and local merging techniques to improve data quality management.

A new method reduces bias in NLP models using dynamic clustering and active learning.

An overview of approaches for generating question-answer pairs using language models.

A new approach to align AI language models with societal norms through simulated interactions.

A new incremental system improves coreference understanding in texts.

This article examines gender bias in translation models and methods to improve fairness.

Combining reference-based and reference-free methods for better summarization assessment.

A study on enhancing speech translation quality using various language inputs.

A look at fairness and bias in models for detecting online toxic comments.

A look into the Closest String problem and its applications in various fields.

Celebrating the life and impact of Ted Swart on his students and colleagues.

A breakdown of bucket elimination and its role in solving satisfiability challenges.

This article examines the difficulties in quickly simulating Hamiltonians in quantum systems.

A look at the role and efficiency of dictionaries in data management.

A look into the Steiner Tree problem and its applications across various fields.

An overview of quantum Kolmogorov complexity and its role in quantum correlations.

A new method improves the efficiency of NMPC using adaptive search space strategies.

This study presents innovative techniques for analyzing brain activity via fMRI.

A new method merges machine learning with finite element analysis for thermoelasticity.

This method simplifies design while enhancing manufacturing efficiency.

Researchers improve heat transfer analysis using GPUs and DSL for faster calculations.

New tools simplify FEM, making it easier to tackle complex shapes.

A new approach to maximize profits from battery storage in renewable energy markets.

A new method improves stock trading predictions using synergistic alpha factors.

A system to track fires and predict smoke spread for public health safety.

A look into the Closest String problem and its applications in various fields.

A new method enhances how we process complex data by recognizing symmetries.

AUC-opt aims to enhance the Area Under the ROC Curve for classification models.

A look into the Steiner Tree problem and its applications across various fields.

A new method enhances how we compare geometric graphs efficiently.

A novel approach to efficiently list paths on polyhedral surfaces.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

A new algorithm outperforms existing methods for point-in-polygon checks.

A model for enhancing user satisfaction through strategic information sharing.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

A systematic algorithm examines process behaviors, including silent actions for better analysis.

This article explores how language models enhance AI's strategic reasoning in games.

Learn how machine learning boosts online allocation efficiency.

Examining how delays impact strategies in competitive games.

A look into various voting methods and their fairness in decision-making.

New methods to improve welfare in ad auctions through better click prediction.

New methods in knowledge distillation enhance model training efficiency.

Maskomaly detects anomalies in images without prior examples.

This study enhances a classic method for detecting lines in document images.

PlaNeRF enhances 3D modeling from 2D images, improving geometry and image quality.

New models improve data storage and sharing for hyperspectral imaging.

New methods improve machine learning models' ability to handle unseen data.

A unified model enhances efficiency in generating radiology reports across multiple body parts.

Study shows potential of deep learning in predicting patient traits from laryngeal images.

A new approach to align AI language models with societal norms through simulated interactions.

A study reveals how Twitter's ranking system influences user feelings and political views.

Reforming public health to improve response to future health crises.

Examining the trust and ethics surrounding protestware in open source software.

This article explains the steps and importance of optimization in various fields.

Examines the challenges and solutions in risk assessment tools across various sectors.

Exploring the need for ethical and trustworthy AI development.

Exploring the benefits and risks of Large Language Models in shaping information.

Achieving interoperability among CBDCs to enhance transactions and trust in the financial system.

Exploring tools for clearer evidence evaluation in cryptocurrency crime investigations.

Research reveals the impact of selfish miners on DAG blockchain efficiency.

A new approach for secure messaging without revealing sender or receiver identities.

Examining the trust and ethics surrounding protestware in open source software.

This paper examines the dangers of relying on generated data for language model training.

A new protocol to protect user privacy in 5G network slicing.

PPA-AFL improves data privacy in collaborative machine learning across devices.

A look into the Closest String problem and its applications in various fields.

Learn efficient methods to estimate key graph parameters in sparse graphs.

New clustering models improve data analysis by handling overlaps and noise.

A new decoder improves quantum error correction speed and efficiency.

Strategies for minimizing tree diameter by adding shortcuts efficiently.

CardIndex combines indexing and cardinality estimation for faster, resource-efficient data handling.

A new approach to computing that prioritizes energy savings over strict accuracy.

This paper examines the importance of statistical indistinguishability in learning algorithms.

Combining global and local merging techniques to improve data quality management.

Learn efficient methods to estimate key graph parameters in sparse graphs.

Introducing Alpha+++, a refined algorithm for better process discovery.

CardIndex combines indexing and cardinality estimation for faster, resource-efficient data handling.

AdapterEM enhances entity matching across diverse data formats efficiently.

A new system allows engineers to query space debris information using plain language.

Improving data discovery through innovative profiling and join quality assessment techniques.

ITR improves graph storage and query speed significantly.

A new approach helps researchers find relevant datasets using natural language.

A new method enhances the search for physical archival materials.

This article examines how citation habits in NLP have evolved over time.

A study on improving peer review quality through innovative assignment evaluation methods.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

Exploring a novel model using group structures to analyze graph relationships.

A new method enhances routing and scheduling in time-dependent networks.

A look into the mechanics and applications of spiking neural networks.

New insights into Lee metric codes enhance data protection and error recovery.

A study on Hitting Set algorithms and their average performance.

Exploring methods to list minimal dominating sets in graphs and hypergraphs.

Learn how compact repair groups improve data recovery in decentralized storage systems.

A look at GNNs and their role in solving complex optimization problems.

A look into how smart cities manage resources while meeting strict limits.

GOC-Ledger simplifies digital asset management without consensus, offering speed and cost benefits.

Achieving interoperability among CBDCs to enhance transactions and trust in the financial system.

Exploring federated learning and the interior point method for effective model training.

A new system enhances GNN training speed using adaptive kernels for different graph sections.

A new decoder improves quantum error correction speed and efficiency.

New strategies enhance federated edge learning by reducing data transmission delays.

A framework to develop personalized policies using observational data while ensuring privacy.

New analog systems use light for faster, energy-efficient information processing.

Discover how quantum computing enhances clustering methods for better data analysis.

A new quantum algorithm speeds up power generation scheduling amid rising energy demands.

Examining how quantum computing enhances radar technology through ISLR optimization.

Memory-centric computing changes data processing by moving computation closer to data storage.

Exploring how the Zeno effect enhances Grover's algorithm for faster data searching.

Discover how dynamical Ising machines enhance problem-solving in complex optimization tasks.

TornadoQSim offers a modular framework for efficient quantum circuit simulations.

Introducing a new model for effective real-time systems verification.

A new method for learning timed automata focusing on timing constraints.

Examining how delays impact strategies in competitive games.

Analyzing the role of decisiveness in Markov chains and probabilistic models.

chemSKI uses graphs and local rules to model complex systems efficiently.

Learn about tree automata and their importance in processing tree structures.

A look into BNRA and the coverability problem for agent coordination.

This article explores the relationship between quotients and lattices in regular languages.

Focus on audience experience to create engaging animations.

A new method to speed up ray tracing rendering significantly.

New methods improve 3D reconstruction of reflective surfaces using neural rendering techniques.

Exploring the walk-on-boundary method for efficient boundary value problem solutions.

Introducing a reliable method for assessing NeRF performance and quality.

Discover how neural path tracing and IPUs enhance graphic rendering.

A new method improves realism in character interactions within virtual spaces.

A fresh approach to generate high-quality animations from limited examples.

Learn how dual-threaded processors enhance performance in various applications.

A new approach for running X3D model on FPGAs for efficient video analysis.

A new architecture improves MK polar code encoding for efficient communication.

A look at the benefits of heterogeneous SoCs for modern computing tasks.

RowHammer threatens data integrity in high-bandwidth memory systems.

An innovative hardware design for real-time learning in spiking neural networks.

A new tool enhances the efficiency of 3D CNNs on FPGA platforms.

Memory-centric computing changes data processing by moving computation closer to data storage.

A new approach to align AI language models with societal norms through simulated interactions.

Examining the AMS algorithm's impact on job-seeker evaluations and public opinion.

Study reveals how UXPs can better collaborate using AI tools.

This study focuses on enhancing communication to improve road safety at intersections.

ReSup improves emotion recognition by effectively handling noisy labels.

A new method enhances dialogue models for better interaction in mental health support.

Examining how AI systems influence human decision-making and agency.

A non-invasive mat system for tracking human activities through pressure sensing.

A new algorithm aims to improve fairness alongside relevance in ranking systems.

A new approach helps researchers find relevant datasets using natural language.

A new benchmark evaluates generative retrieval performance in changing information environments.

A new method addresses challenges in high-dimensional sparse data for recommendations.

Efficient audio recognition technology designed for low-power television devices.

A new method enhances the search for physical archival materials.

New models enhance the detection of fake news using diverse data techniques.

New methods enhance retrieval performance for lengthy texts in information systems.

Insights into industry connections and economic impacts in the Netherlands.

This article discusses the future of wireless energy and data transfer for IoT devices.

Research on efficient data recovery in distributed storage systems facing server failures.

A new feedback scheme improves communication efficiency in mobile networks.

New strategies enhance federated edge learning by reducing data transmission delays.

This article presents tools to interpret the training of error-correcting codes.

Discover how RIS technology enhances wireless communication systems.

A new architecture improves MK polar code encoding for efficient communication.

Combining global and local merging techniques to improve data quality management.

Explore the challenges and solutions for concurrent programs in weak memory models.

A study on the Responsibility-Sensitive Safety model for self-driving vehicles.

Learn how refactoring improves code structure and maintains program behavior.

A systematic algorithm examines process behaviors, including silent actions for better analysis.

Exploring term rewriting in parallel computation for efficient data processing.

This paper examines the relationship between transductions, logic, and automata in language theory.

Introducing Concurrent Valuation Algebras for better data organization and system modeling.

A new method to improve interpretability in GAMs by tackling concurvity.

Exploring how neural networks recognize symmetries in data through equivariance.

Synthetic data generation enhances smart home energy management systems.

This study presents innovative techniques for analyzing brain activity via fMRI.

New methods enhance robot teamwork despite time delays in control.

Analyzing limitations and corrections in influence functions for better model performance.

Assessing privacy risks in deep learning against various attacks.

New method improves AI model adaptability and efficiency.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

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.

Multi-robot systems improve efficiency and reliability across various fields.

A look into how smart cities manage resources while meeting strict limits.

Generative agents are improving AI's ability to tackle complex tasks through dual-process thinking.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

Federated learning improves model training while keeping user data private.

This study examines synchronization in networks with changing connections over time.

Combining Bayesian methods with differentiable models can enhance agent-based modeling.

Learn how sellers can enhance auction outcomes with support information.

Introducing a modular method for zero-shot visual question answering.

A new method to better organize task steps with video insights.

Improving metrics for assessing deblurring methods using a new dataset.

A new method enhances vision-language models through real-time feedback for better performance.

New models enhance the detection of fake news using diverse data techniques.

Occ-BEV enhances vehicle perception through multi-camera 3D modeling and data integration.

A look into J-UNIWARD's message hiding technique and its minor calculation error.

A new approach tackles language and vision biases in VQA systems.

A new approach uses Graph Neural Networks for better user pairing in wireless systems.

This study explores how network operators adapted during the Russia-Ukraine conflict.

Digital twins improve the management of satellite and drone communication networks.

A new framework enhances the detection of cyber attack paths.

T800 offers an efficient security solution for vulnerable IoT devices.

New models improve air-to-ground communication using federated learning and generative neural networks.

Generative models help address challenges in satellite communication by creating synthetic data.

Improving communication systems for connected and autonomous vehicles to boost traffic flow.

Explore NE-MOEA, a non-elitist method for solving multi-objective problems efficiently.

A new method predicts neural network performance using only weight parameters.

Exploring methods to enhance artificial intelligence using brain-inspired approaches.

Combining graph rewriting with GNNs for dynamic data analysis.

New neural networks learn transformations directly from data, improving efficiency and understanding of symmetries.

A novel method for training neural networks that combines classification and reconstruction.

A look at how evolutionary algorithms perform when faced with various constraints.

A study on how cell-like creatures evolve through natural selection in a virtual environment.

Explore the continuous AAA algorithm and its benefits in various fields.

A look at using least-squares methods to understand heat equations.

A look at the new -Chebyshev functions and their applications.

A novel approach improves solution finding for nonlinear differential equations across various fields.

A new method enhances the calculation of transport coefficients in molecular dynamics.

A new method enhances accuracy in eigenvalue problems by analyzing multiple situations.

Advancements in understanding particle interactions in non-traditional environments.

Exploring the walk-on-boundary method for efficient boundary value problem solutions.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

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.

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

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

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.

Learn how CPU-GPU systems improve fluid dynamics simulations.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

Explore the challenges and solutions for concurrent programs in weak memory models.

Exploring term rewriting in parallel computation for efficient data processing.

Colored e-graphs improve logical reasoning by reducing memory use and increasing speed.

This paper presents a formal model for secure computations in C language.

A superoptimizer improves SIMD instruction performance in LLVM, boosting program efficiency.

A new graph representation enhances how machine learning analyzes programming languages.

FreeCHR offers a uniform approach to Constraint Handling Rules across programming languages.

A new method for creating invariants in challenging loop structures.

Multi-robot systems improve efficiency and reliability across various fields.

This study evaluates drone performance amid actuator failures.

New methods improve safety in robotics and autonomous vehicles.

CYRUS improves player positioning using machine learning to handle noisy sensor data.

AcroMonk mimics brachiation, showcasing a simple yet effective robotic design.

New IBVS method enhances docking accuracy for unmanned aerial vehicles.

Generative agents are improving AI's ability to tackle complex tasks through dual-process thinking.

Robots learn delicate object handling through model-free reinforcement learning.

A study reveals how Twitter's ranking system influences user feelings and political views.

Examining how hurricanes shape discussions on climate change through social media.

Efficient summarization of Stack Overflow posts using deep learning techniques.

Study reveals patterns of family interactions in U.S. cities amidst rising populations.

How political beliefs shaped conversations during the COVID-19 pandemic.

This article examines methods for identifying and classifying hate speech on social media.

Exploring how memes reflect views on Singapore's Total Defence policy.

Discover the significance of node role discovery in analyzing network dynamics.

This study examines the role of human values in software engineering and user experience.

Efficient summarization of Stack Overflow posts using deep learning techniques.

Examining the trust and ethics surrounding protestware in open source software.

Learn how ART and LSH-ART improve software testing efficiency and fault detection.

A study on the Responsibility-Sensitive Safety model for self-driving vehicles.

Overview of edge-to-cloud tools and their applications.

WELL simplifies bug localization using weakly supervised learning methods.

An exploration of software ecosystems, their types, and developer interactions.

A novel method improves speech recognition tasks using less labeled data.

This article examines recent improvements in creating written audio descriptions.

Efficient audio recognition technology designed for low-power television devices.

SCHmUBERT offers a fresh approach to creating symbolic music with AI.

A new model enhances confidence scores in speech recognition systems.

New techniques improve understanding of dysarthric speech in communication systems.

A novel unsupervised approach enhances voice isolation in audio mixtures.

A new benchmark for evaluating machine learning models in understanding speech across languages.

A method combining symbolic reasoning and neural networks for better decision making.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

Synthetic data generation enhances smart home energy management systems.

This study evaluates drone performance amid actuator failures.