Computer Science

CQE improves video watch time predictions and user engagement on online platforms.

Learn about neural networks, their structure, and applications in various industries.

A new method enhances image quality while reducing computation time in diffusion models.

A new approach improves text-to-image tech efficiency and quality.

Analyzing how VPT, an AI agent, makes decisions in Minecraft gameplay.

Simplifying AI tools can empower artists to enhance their creative expression.

This study compares models for predicting emotions in Polish political texts.

Exploring new methods for accurate medical translation.

An overview of practices undermining trust in machine learning model assessments.

This study compares models for predicting emotions in Polish political texts.

Exploring new methods for accurate medical translation.

Dartboard improves retrieval in language models by maximizing relevant information.

New models enhance the identification of speakers in dialogue content.

GoldFinch offers efficient memory and processing for long text tasks.

New attention methods improve transformer models in efficiency and performance.

Elliptical Attention improves focus and performance in AI tasks.

A look into key probability distributions in computer science.

A look into minimal transversals and their significance in hypergraphs.

Examining query space and branching programs in quantum computing.

A method to prove time complexity using LiquidHaskell in real-world programming.

Research highlights complexities and algorithms related to the MMDS problem in graph theory.

An overview of matrix groups, orbit problems, and their computational implications.

An in-depth look at the challenges in P3-arrowing within graph theory.

This article discusses the complexities of choosing sensors and actuators in systems.

Mini-grids offer renewable energy solutions for rural communities facing power shortages.

This article discusses new methods for sewer pipe maintenance using machine learning.

A method to enhance centrifugal compressor performance through improved modal analysis.

This article explores how reinforcement learning can optimize microreactor operations.

Examining the current state of the Ethereum block builder market.

New methods improve circuit simulation and device modeling efficiency.

This study explores how predicting lane changes can enhance energy savings for CAVs.

A look at how GPS data enhances traffic flow mapping accuracy.

A new method for clearer visualization of point data using simple shapes.

This paper presents new scheduling methods for improving drone package deliveries.

A study on improving GPS data matching to road networks.

Understanding smooth manifolds through triangulations and their properties in topology.

Exploring algorithms for key geometric optimization challenges and their applications.

Learn how graph embedding can improve analysis of complex networks.

A look at systoles and their calculation on combinatorial surfaces.

This article examines distance functions and their significance as topological Morse functions.

A look into obliging games and how they function.

Learn new strategies for successful bidding in simultaneous ascending auctions.

A look into bidding mechanisms for goods and services.

This article discusses fair and efficient ways to allocate indivisible goods.

Exploring strategies for effective communication in product adoption.

Explore key strategies to succeed in Ranked Choice Voting and Single Transferable Voting.

This study investigates fair sharing of indivisible items to reduce envy and encourage honesty.

Exploring fair ways to share indivisible goods among people.

Introducing a new method for improving light field image resolution.

New methods tackle challenges in machine learning for improved performance.

A new method enhances image quality while reducing computation time in diffusion models.

A new approach improves text-to-image tech efficiency and quality.

Relational Representation Distillation improves model efficiency and accuracy in knowledge transfer.

Examining the significance of privacy through identity unlearning in machine learning.

New attention methods improve transformer models in efficiency and performance.

A new weight generator improves neural network training efficiency and quality.

An overview of practices undermining trust in machine learning model assessments.

Establishing a benchmark to evaluate fairness in graph learning methods.

Introducing a framework to help stakeholders agree on fairness in AI systems.

Examining how to foster trust in machine learning systems.

Examining the impact of colonialism on Bengali nationalism through digital platforms.

Integrating AI to enhance marketing strategies and campaign effectiveness.

A new system improves mobile location accuracy without draining battery life.

New index shows progress in AI model transparency among developers.

Examining the vulnerabilities and potential attacks on NeRF technology.

A new framework enhances data security for AI applications.

MaskedHLS offers a solution for building secure hardware protecting against power side-channel attacks.

The TGIF dataset aids in detecting advanced image manipulation techniques.

A new method enhances security in recommender systems through effective watermarking.

A new method enhances watermarking without sacrificing text quality.

A new algorithm streamlines modulus operations, beneficial for cryptography and prime calculations.

A new handshake design for secure IoT identity management.

A look into minimal transversals and their significance in hypergraphs.

Learn how low rank approximation simplifies large datasets for efficient data analysis.

New methods improve connectivity analysis for various embedded graphs.

Calibration ensures predictions align with actual outcomes across various fields.

A new method enhances text indexing performance across key dimensions.

Learn about speed-robust scheduling and its importance in task management.

Understanding matroids, their types, and challenges in intersection problems.

A look at spanning trees and perfect matchings in graph theory.

This paper discusses using language models to improve schema matching accuracy.

A new method enhances text indexing performance across key dimensions.

This framework enhances data science efficiency by converting Python code to SQL.

LITS enhances string indexing performance, overcoming limitations of traditional methods.

New tools allow intuitive data queries using natural language.

A new approach to analyzing unstructured data using advanced querying techniques.

A new indexing method boosts speed and reliability in transactional databases.

Generative AI is improving how data professionals write SQL queries.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A system that improves information retrieval by clarifying user questions.

This study focuses on generating citations with appropriate length for better quality.

Gymnasium simplifies research in reinforcement learning with versatile environments and support tools.

A new system to simplify writing literature reviews for researchers.

HALvest combines citation networks and texts for enhanced research insights.

The article explores gender differences in patent success, focusing on innovation types.

Access over 2 billion unique citation links for open research.

A look into minimal transversals and their significance in hypergraphs.

Exploring the significance and applications of leaf powers in graph theory.

A deep dive into graceful coloring and its significance in graph theory.

Introducing MRBM for improved biological process representation.

A look at competition in prize collection through route planning.

This article explores the normality of Boolean functions with 8 variables.

A look into the properties and importance of matching covered graphs.

A new method for analyzing complex relationships in different structures.

New counting techniques improve analysis of large genomic datasets.

A new method improves deep learning efficiency for edge devices.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

Octopus streamlines scientific processes through effective event-driven architecture.

A framework for assessing Federated Learning models in real-world scenarios.

Introducing a distributed key-value store to enhance data security in cloud environments.

Strategies for effective container image placement in cloud-edge networks.

Innovative methods are changing how we process and manage data efficiently.

Exploring the integration of quantum computing into machine learning for improved performance.

Exploring channel models for better 5G network planning in industrial environments.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

Research highlights methods to detect false information in automotive AI.

Exploring the role of neuromorphic systems in managing microgrid challenges.

Exploring Hyperledger Fabric's impact on electronic health records in South Africa.

Efficient scheduling of quantum circuits enhances hardware utilization and performance.

A look into obliging games and how they function.

Learn how reactive graphs adapt in response to user interactions.

A look into Omega-automata and their role in language studies.

New methods enhance the reachability of resource-aware systems.

Explore recent improvements in regex functionality and performance.

Exploring the patterns within language and sequences through palindromic constructs.

A novel approach to enhance query evaluation in dynamic data streams.

This article discusses the importance of regular grammars in graph structures.

This article explores common issues in data visualization design and their impact.

A new model generating stylized human motions from text and style sequences.

A new method improves 3D human modeling from minimal photos.

Introducing a method to create high-quality street views over long distances.

A new method predicts product sales during busy events using proxy data.

A new method improves character animation using data-driven motion transfer.

A new method for creating lifelike digital avatars from videos.

This article discusses uncertainty-aware models for better vector field analysis using deep neural networks.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

Trikarenos chip offers reliable performance in automotive and aerospace applications under high radiation.

CHOSEN framework enhances Vision Transformers for efficient FPGA use.

IICPilot simplifies backend design tasks for engineers using integrated circuits.

Graphitron simplifies FPGA-based graph processing with a user-friendly programming language.

SigDLA combines deep learning and signal processing for efficient IoT applications.

A new algorithm streamlines modulus operations, beneficial for cryptography and prime calculations.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

AeroHaptix enhances drone control through innovative tactile feedback.

Researchers improve speech decoding using EEG to help those with speech impairments.

Research shows robots can replicate human head movements for better interaction.

A study reveals effective stress management for parents using personalized mobile app recommendations.

This article explores common issues in data visualization design and their impact.

Introducing a framework to help stakeholders agree on fairness in AI systems.

A look into assessing mental wellness chatbots for effective user support.

A look at how technology and musicians collaborate in a unique performance.

A study on enhancing LLM accuracy through intent-driven retrieval methods.

ClaimCompare helps identify related patents affecting invention uniqueness.

This article discusses using neural networks to identify low-quality passages in search results.

A look into how generative IR systems can transform information seeking.

A new framework enhances the identification of proteins for biological research.

BootRet improves document retrieval accuracy with dynamic identifier updates.

EndoFinder aids doctors in making informed polyp decisions during colonoscopy.

A new method enhances security in recommender systems through effective watermarking.

This article introduces minimax quantiles for better statistical estimates.

Combining radar and communication tech enhances user acquisition in wireless networks.

Exploring conditional mean estimation in quantized signal systems and its applications.

A simple look at how data storage systems work.

Two new estimators enhance accuracy in analyzing item response data.

Explore how the stochastic block model helps identify communities in networks.

CliNR offers an efficient approach to minimize errors in Clifford circuits with fewer resources.

A look at Markov random fields and their role in analyzing complex relationships.

A new approach to understanding how groups share and develop knowledge.

Discover how game comonads connect logical properties with mathematical structures.

Exploring the implications of the infinite pigeonhole principle in various fields.

Strategies for effective container image placement in cloud-edge networks.

This article discusses the development of winning policies across families of MDPs.

This article discusses type safety in Pure Subtype Systems and recent advancements.

A new approach to temporal logic that supports infinite values and enhances reasoning capabilities.

Explore nominal algebra's role in managing names and binding in programming.

CQE improves video watch time predictions and user engagement on online platforms.

An overview of practices undermining trust in machine learning model assessments.

Examining how to improve certainty in AI predictions through conflictual loss.

Learn about neural networks, their structure, and applications in various industries.

MolTRES enhances chemical prediction by integrating knowledge and innovative training methods.

Machine learning enhances prediction of activity coefficients in chemical mixtures.

A new approach improves text-to-image tech efficiency and quality.

Establishing a benchmark to evaluate fairness in graph learning methods.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

New approaches to tackle complex linear systems efficiently.

A new framework for optimizing complex geodesic convex problems in various fields.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

Researching how robots work together in shared spaces for safe interactions.

Exploring how we carry lessons from caregivers into our behaviors.

DataStorm aids decision-makers by simulating various scenarios during health crises.

New methods enhance how multiple robots explore unknown mazes.

POGEMA framework enhances multi-agent navigation for efficient obstacle avoidance.

Discover how TaskGen improves task management for programs and agents.

A new method for guiding robotic sheep using robotic dogs in challenging environments.

A new framework improves agent-based modeling by integrating diverse expert insights.

The TGIF dataset aids in detecting advanced image manipulation techniques.

Learn how IP broadcasting and audio tagging reshape content delivery.

Integrating AI to enhance marketing strategies and campaign effectiveness.

X-Former improves how models combine image and text understanding.

Combatting misleading information through new methods and technologies.

A new system combining text and image analysis to fight misinformation.

New method RoE enhances multi-modal large language models' efficiency with dynamic routing.

Introducing 360VFI for improved 360-degree video quality and experience.

Teams of drones tackle wireless localization challenges in the AERPAW competition.

Science DMZs enhance data transfer for scientific research.

A framework for assessing Federated Learning models in real-world scenarios.

Strategies to improve IoT communication and reduce delays.

New methods improve wireless signal prediction and localization using neural networks.

Learn how NB-IoT connects multiple devices efficiently for various applications.

A study on various streaming technologies and methods for data formatting in real-time.

Examining issues impacting Internet connections and the concept of reachability.

A framework to improve airport operations during emergencies while maintaining regular flights.

Introducing SpikeVoice, an energy-efficient system for high-quality text-to-speech synthesis.

A novel method to improve efficiency in spiking neural network training.

Techniques for optimizing RNNs, focusing on Mamba and quantization challenges.

Research shows how variability enhances ANN controllers for better performance in diverse environments.

Exploring the role of neuromorphic systems in managing microgrid challenges.

A new approach using genetic programming to explain AI decision processes.

A novel method addresses complex optimization issues effectively.

Exploring the complexities of anomalous diffusion through advanced mathematical modeling.

A method enhances image clarity using advanced data processing techniques.

Science DMZs enhance data transfer for scientific research.

New methods improve efficiency and accuracy in handling stiff differential equations.

Examining methods to efficiently solve the generalized Stokes problem in fluid flow.

This article examines the application of neural networks in solving diffusion-reaction equations.

Exploring fluid interactions and their impact on various applications.

Explore the latest developments in micromagnetics and their impact on technology.

Exploring Rust's role in enhancing OS security and reliability.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

New framework for NPUs enhances resource sharing and reduces costs.

A novel method for analyzing cloud system performance through detailed simulations.

A new framework enhances task scheduling and timing in multi-threaded ROS 2 executors.

UBPF simplifies eBPF program management across diverse cloud environments.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

This article covers a system that manages communication between processes using sandboxes.

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.

Learn effective methods to estimate the energy footprint of software.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

A new framework estimates how deep learning models perform on various GPUs.

Simopt enhances FPGA design by leveraging simulation data for improved performance.

RASM improves wireless communication efficiency and reliability through innovative techniques.

A new method estimates power use and heat in CNN accelerators for better performance.

A new approach to calculate PageRank scores in changing networks.

Haskelite aids newcomers in grasping Haskell through clear evaluation traces.

This framework enhances data science efficiency by converting Python code to SQL.

Security agencies urge software leaders to adopt safer programming practices.

Techniques for better maintenance and performance of static analysis tools.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

Learn how reactive graphs adapt in response to user interactions.

A new approach to simplify handling custom scientific data formats.

A novel approach to ensuring the reliability of higher-order probabilistic programs.

Humanoid robots are changing how we approach work in various industries.

Teams of drones tackle wireless localization challenges in the AERPAW competition.

AeroHaptix enhances drone control through innovative tactile feedback.

This study examines how robots can understand secondary uses of tools.

Research shows robots can replicate human head movements for better interaction.

A new method enhances SLAM accuracy using LiDAR, IMUs, and encoders.

A new approach enhances legged robot movement across obstacles.

A new method improves robot walking safety and efficiency.

Establishing a benchmark to evaluate fairness in graph learning methods.

Examining how users migrate between online communities and why.

A new method reveals how to identify coordinated user behaviors on social media.

Examining how network clustering influences efficiency in decentralized systems.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A study on how timing influences social connections and interactions.

Examining media coverage of the Quran burning in Kristiansand across various platforms.

This article examines how network and identity shape hashtag popularity on Twitter.

A new method enhances chatbot training through automated query generation.

CoDAT ensures code comments stay updated and relevant for developers.

Learn effective methods to estimate the energy footprint of software.

Many users are unaware of risks in smart contracts like USDT.

PSVAE offers a faster method for creating high-quality synthetic tabular data.

Strategies for effective container image placement in cloud-edge networks.

Techniques for better maintenance and performance of static analysis tools.

Learn how transitioning to microservices can enhance software performance and flexibility.

New methods improve machine understanding of human emotions in speech.

Simplifying AI tools can empower artists to enhance their creative expression.

MusiConGen enhances user control in text-to-music generation.

Researchers improve speech decoding using EEG to help those with speech impairments.

J-CHAT provides a large, open-source dataset for enhancing spoken dialogue systems.

New methods enable musicians to create instruments from sound prompts.

Examining how codecs retain emotional tones in voice data.

Learn how IP broadcasting and audio tagging reshape content delivery.

Research highlights methods to maintain dialogue consistency in restaurant-related conversations.

New method improves classification accuracy and adaptability through error detection.

Discovering connections between complex reflection groups and linear differential equations.

Recent advancements in Real Quantifier Elimination and CAD improve problem-solving efficiency in mathematics.

Learn how math aids in understanding chemical reactions and their interactions.

A look into polynomial handling with Lean's features and challenges.

A new approach to event prediction using dynamic causal rules and dual history contexts.

BMLP improves datalog query evaluation using boolean matrices for better performance.

Evaluating MPC and RL for efficient battery control.

Exploring how reward design impacts learning in reinforcement systems.

Neural networks are enhancing control systems for managing complex reaction-diffusion processes.

Examining how network clustering influences efficiency in decentralized systems.

New frameworks for efficient modeling of complex networked systems in electrified vehicles.

This article explores how reinforcement learning can optimize microreactor operations.

Satellite IoT connects devices in remote areas, enhancing communication and data sharing.

Learn how NB-IoT connects multiple devices efficiently for various applications.