Computer Science

A new approach enhances Named Entity Recognition with limited data.

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

A look at the benefits of local purchasing versus global options.

A fresh approach to assess both on-ball and off-ball player actions.

Learn how reversible watermarking safeguards deep neural networks against misuse.

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

Introducing I-STAR to adjust model isotropy for improved language processing.

This study focuses on improving image generation from text in multiple languages.

EfficientSCI enhances video reconstruction from compressed data, improving quality and speed.

A new approach enhances Named Entity Recognition with limited data.

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

Error correction in writing enhances communication and inclusivity.

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

New approach improves accuracy in connecting diverse datasets across languages.

New benchmark assesses language models' grasp of negation in various contexts.

Introducing I-STAR to adjust model isotropy for improved language processing.

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.

A look into how agents form expectations and reason about their environment.

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 new method improves efficiency in multi-objective optimization tasks.

Chemellia simplifies machine learning for atomic-level material studies.

GNSTODE offers new solutions for simulating complex particle interactions.

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.

Exploring techniques to reduce graphs while preserving key distance relationships.

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.

Learn how sellers can enhance auction outcomes with support information.

An overview of pricing methods in renewable electricity markets.

A study on effective grouping strategies based on friendship dynamics.

EfficientSCI enhances video reconstruction from compressed data, improving quality and speed.

New approach improves how AI recognizes unique combinations of attributes and objects.

New method enhances short PET image quality for Alzheimer's diagnosis.

A new method improves image rendering speed and quality.

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

ReSup improves emotion recognition by effectively handling noisy labels.

Addressing challenges of incorrect labels in deep learning models.

New approach improves accuracy in connecting diverse datasets across languages.

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

Addressing challenges in voice recognition of African names for better user experience.

Examining the role of trust in technology and personal interactions.

A new method enhances accuracy in gathering subjective evaluations by using pairwise comparisons.

A look at AI's ability to imitate human interaction through a popular online game.

New methods enhance forecasting accuracy for wheat yields in Kazakhstan.

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

Early CS education can enhance learning and perceptions among students.

RowHammer threatens data integrity in high-bandwidth memory systems.

This technique improves test case generation for deep learning applications.

Learn how reversible watermarking safeguards deep neural networks against misuse.

A new framework enhances the detection of cyber attack paths.

Examining the effectiveness and challenges of unlearnable datasets in protecting private information.

Federated learning improves model training while keeping user data private.

T800 offers an efficient security solution for vulnerable IoT devices.

A new method ensures privacy in speech classification without sacrificing performance.

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

A study on how to maximize influence in social networks using targeted strategies.

Learn how electric cars can manage energy during travel.

Learn how machine learning boosts online allocation efficiency.

New techniques enhance efficiency and expressiveness in graph analysis.

A new model addresses correlated customer arrivals to improve revenue management.

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

A study on Hitting Set algorithms and their average performance.

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.

Exploring how retrieval-augmented models improve accuracy in question answering.

Introducing BitE, a model that improves query optimization in databases using ensemble learning.

Path queries play a vital role in extracting meaningful data from graph databases.

A method to improve data quality monitoring in business data pipelines.

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.

A new index offers a detailed view of ongoing research contributions.

Investigating prompt-based methods for improving language models in research data retrieval.

Using Transformers to analyze and categorize research papers for better insights.

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 new framework for federated learning adapts to shifting data while ensuring privacy.

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

Satellites are changing computing with real-time processing capabilities in space.

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

A fresh approach to mathematics using pure data and finite sequences.

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

Examining the potential of Federated Learning in IoT and edge devices.

A new framework improves federated learning speed and efficiency while protecting privacy.

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.

A new method enhances how we recognize actions in video using reservoir computing.

Explore how edge AI is transforming wireless communication systems for better efficiency and accuracy.

This study combines classical and quantum methods for improved image segmentation.

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.

Explore how fractals and process systems relate through self-similarity and iterative processes.

A look at how different structures interact in formal languages.

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.

New techniques enhance image matching in medical analysis and diagnostics.

This method simplifies CAD design by generating variations from text prompts.

New tool creates custom passive grippers for various object shapes.

A method to automate CAD model matching between different systems for better teamwork.

A new method enhances 3D object modeling from photos with improved accuracy.

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.

Tsetlin Machines on FPGA enhance real-time learning with low power consumption.

SAFT enhances training speed and efficiency for noisy deep learning models.

Introducing a novel architecture for classical control systems in quantum computers.

Reassessing how we classify and understand sequential circuits.

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.

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

AMII model enhances communication for socially interactive agents through improved non-verbal behavior.

Discover the impact of serious games on education and training.

Using AI tools like GPT-4 to enhance educational practices.

Explore the significance of molecular physics in various scientific fields.

TIREx enhances reliability and collaboration in information retrieval research.

A new benchmark aims to improve information retrieval systems for Polish speakers.

Explore how SERP features influence website traffic and click behavior.

TransAct enhances Pinterest's recommendation system for better user experience.

This article discusses SANTA, a model designed to improve structured data information retrieval.

AI analyzes cooking methods to improve dietary choices and enhance food recommendations.

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

Learn about covering codes and their applications in data processing algorithms.

Innovative strategies improve efficiency in identifying infected individuals during health crises.

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

Learn about MSCS and their role in improving communication signal quality.

Federated learning improves model training while keeping user data private.

A new approach balances data size and quality for better multimedia experiences.

Exploring methods to improve wireless information transfer through relays.

An overview of the methods used to reconstruct sequences from substrings.

A new method enhances the analysis of multi-trace properties in computing systems.

A new framework enhances how complex queries are answered using eventuality reasoning.

A clear framework for understanding agent cooperation and strategic interactions.

Examining how delays impact strategies in competitive games.

A new approach to tackle geometric concepts through labeled structures.

This article explores the relationship between event structures and full graphs using data mining.

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

This work examines partial computable functions and their implications for computability theory.

New method enhances short PET image quality for Alzheimer's diagnosis.

A fresh approach to assess both on-ball and off-ball player actions.

New methods in learning algorithms leverage sampling and approximation for improved predictions.

New benchmark assesses language models' grasp of negation in various contexts.

Introducing I-STAR to adjust model isotropy for improved language processing.

This study focuses on improving image generation from text in multiple languages.

A new method enhances numerical feature encoding in recommendation systems.

A new framework for federated learning adapts to shifting data while ensuring privacy.

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.

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.

Limiting interactions among agents enhances decision-making in distributed systems.

A study on enhancing teamwork in agent-based systems using Bayesian networks.

Exploring privacy-preserving learning while tackling communication issues in federated reinforcement learning.

This article discusses designing systems for better decision-making in multi-agent environments.

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 method to enhance compressed 3D point cloud data using advanced neural networks.

C-MCR simplifies multi-modal learning by connecting existing knowledge efficiently.

A new method for creating synthesizers that benefits musicians.

New benchmark reveals performance gaps in document processing models.

New model improves panoramic image analysis for real-world applications.

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.

New techniques enhance power control in wireless communication systems.

New multi-channel communication standards boost road safety and efficiency.

A study on methods for classifying media types and estimating video quality.

A new framework enhances the detection of cyber attack paths.

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

This study shows how to adapt TTS technology to different accents efficiently.

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

New training method enhances hyperdimensional computing performance by integrating confidence levels.

This study focuses on recognizing Arabic dialects using advanced methods and limited data.

A new method improves speed and accuracy in data analysis using Bayesian Decision Trees.

This method improves performance in solving constrained optimization problems effectively.

New numerical methods maintain charge and energy in particle interactions under randomness.

Learn how thermal noise currents can reveal material conductivity properties.

Learn how adaptive tensor methods enhance data processing efficiency and accuracy.

This article discusses a method for solving linear elasticity using Isogeometric Analysis.

A novel approach improves modeling of fluid interactions with changing densities.

A look at discrepancy and its role in double-infinite matrices and numerical integration.

This article highlights a method to prove the existence of hyperbolic quasi-periodic invariant tori.

Exploring the Lattice Boltzmann Method's impact on fluid dynamics simulations.

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.

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.

New methods improve the visualization of complex scientific data.

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.

A look at methods for verifying dynamic binding in programming.

LambdaBeam improves program creation by handling complex functions and loops efficiently.

A new method enhances how robots learn tasks using examples and language.

New models improve drone flight safety and efficiency in close proximity.

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

New method improves accuracy in locating objects indoors.

Exploring the complexities of overtaking in autonomous driving.

GAN-MPC enables robots to learn effectively from varied demonstrations.

A new framework enhances control theory understanding in robotics through practical projects.

Research enables robots to understand and perform tasks based on human instructions.

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

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

Explore strategies to ensure safe routing in vulnerable networks.

Exploring the impact of urban design on accessibility and community vitality.

Explore how SERP features influence website traffic and click behavior.

A new method improves finding dense groups in social networks.

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

Explore key issues affecting GNN performance in link prediction tasks.

This technique improves test case generation for deep learning applications.

Learn about the ReCO process for efficient application integration.

Examining the role of trust in technology and personal interactions.

This new tool simplifies AI pipeline creation using low-code programming and natural language.

A look into how data augmentation boosts source code training methods.

An overview of the emerging field of quantum software engineering and its challenges.

AI helps developers manage and reproduce bug reports efficiently.

SourceP improves detection of Ponzi schemes in smart contracts using source code analysis.

A new model enhances audio perception and reasoning capabilities in AI.

NASS improves voice isolation in noisy environments, outperforming traditional methods.

Enhancing sound quality metrics using new loudness calculation methods.

AlignAtt enhances simultaneous speech translation with improved speed and quality.

A new method ensures privacy in speech classification without sacrificing performance.

This study shows how to adapt TTS technology to different accents efficiently.

AMII model enhances communication for socially interactive agents through improved non-verbal behavior.

Introducing a model that integrates various data types for complex tasks.

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.

A new method evaluates energy storage technologies' value for cleaner energy systems.

A new framework enhances control theory understanding in robotics through practical projects.