Computer Science

This study uses deep learning to find new biomarkers for age-related macular degeneration.

NCL improves interpretability and performance in machine learning tasks.

New model improves accuracy of ionospheric predictions for navigation systems.

A new method to fine-tune models while ensuring data privacy.

New method enhances spoken to signed language translation for better communication.

Exploring the balance of real and generated data for better machine learning performance.

Create smart agents easily using natural language prompts.

Optimizing routes for pickup and delivery tasks using reinforcement learning.

New method enhances spoken to signed language translation for better communication.

Using social media data to enhance Cognitive Behavioral Therapy techniques.

Examining how Japanese speakers omit sentence parts and its implications.

This article examines issues in meeting summarization and the need for improved evaluation methods.

Combining causal relationships with prediction improves sentiment analysis accuracy.

This article examines how LLMs can monitor critical infrastructure during disasters using social media data.

A new method enhances how users create spreadsheet formulas.

A look at the progress in paraphrase generation methods using knowledge distillation.

Examining the relationship between Gödel's theorems and Turing's computation models.

This article examines the role of multiple counters in finite automata.

Explore the functional closure properties of finite weighted automata and their significance.

Learn how clock synchronization impacts the efficiency of distributed systems.

Exploring the latest methods and obstacles in hierarchical agglomerative clustering.

Optimizing noise generation methods for better data privacy in streaming applications.

A detailed look at key mathematical problems involving noncommutative variables.

New methods to improve job scheduling efficiency across identical machines.

Visibility maps enhance fire safety by ensuring clear exit paths during smoke conditions.

A dataset helping improve car design through detailed aerodynamic analysis.

Discover the uses and benefits of hydrogels across various fields.

New models enhance hydrogel simulations for bioprinting applications.

Approaches for providing electricity to underserved populations worldwide.

Examining blood vessel growth and its impact on cardiovascular health.

GradNav helps scientists study molecular behavior more efficiently.

A look at how blood flow models aid in heart disease treatment.

This study reveals how grid peeling clarifies parabola shapes through structured removal of points.

Neural Slicer improves multi-axis 3D printing with curved layers for stronger designs.

New methods improve 3D model efficiency while retaining essential details.

This study explores methods to enhance road connectivity and reduce travel distances.

A method to analyze how clusters of points influence surrounding areas.

A novel approach using Voronoi diagrams enhances cell simulation accuracy and efficiency.

A new method improves distance calculations on triangle meshes for various applications.

Introducing a framework for solving complex packing challenges in various fields.

A new approach to balance miners and users in blockchain transactions.

This auction model aims for fairness and efficiency in item sales.

Analyzing how noise affects student and college matching in admissions processes.

Exploring effective mechanisms for placing service facilities based on user demand.

A new approach to rank preferences by emphasizing top choices.

Learn how sellers can maximize revenue through effective pricing strategies.

Exploring strategies for optimizing energy levels and rewards in Markov Decision Processes.

RetinaRegNet improves retinal image alignment for better eye health diagnostics.

NCL improves interpretability and performance in machine learning tasks.

Exploring the balance of real and generated data for better machine learning performance.

A new model enhances activity recognition by focusing on temporal relations among actions.

SPAM offers a smarter way to label video data efficiently.

TROT improves accuracy in recognizing human activities by leveraging temporal relationships.

SLAIM enhances real-time tracking and mapping using advanced neural networks and depth information.

New methods enhance image quality in satellite imagery.

A new dataset and framework for tracking soccer players using single-camera video footage.

A novel method to ensure fairness in AI systems using historical data.

Analyzing fairness in algorithms and its legal implications.

A look at joint intelligence education efforts across Europe.

RAGAR combines text and images to improve political fact-checking.

Examining disparities in access to generative AI tools across different communities.

Examining how transparency and incentives affect user data sharing on Amazon.

Addressing accountability and replicability in ML through improved research claims.

This article examines how electricity pricing influences carbon emissions in households.

A new approach to sharing trajectory data while maintaining user privacy.

This article examines how preprocessing steps can impact data privacy guarantees.

A framework offers improved verification for data accuracy in self-driving cars.

S3PHER empowers patients by enabling secure health data sharing with providers.

An overview of DeFi and its impact on financial services.

A method to optimize models while keeping their architecture confidential.

A new defense mechanism reduces label inference attack risks in collaborative machine learning.

A look at joint intelligence education efforts across Europe.

A study on efficient methods for testing intersecting properties in set families.

Research unveils faster approximation algorithms for subset convolution and NP-hard problems.

Examining difficulties in finding bases in labeled matroids based on abelian groups.

New methods improve task scheduling with varying interruption predictions.

A new algorithm enhances efficiency in finding longest increasing subsequences.

Introducing a new method for efficient routing in length-constrained graphs.

A deeper look into non-linear paging and its impact on memory systems.

A new algorithm improves online learning by adapting to incoming data effectively.

A new approach to sharing trajectory data while maintaining user privacy.

A new method enhances how users create spreadsheet formulas.

Data visualization simplifies data analysis and enhances decision-making for organizations.

A new method to identify meaningful patterns in complex data graphs.

Exploring how LLMs enhance graph data analysis and applications.

Learn about HTAP databases and their role in real-time data processing.

This study looks at using natural language for easier data visualization.

An overview of methods for tracking objects in noisy environments.

A practical approach to improve data handling in cultural heritage through CHAD-AP.

This study uses computational methods to analyze running titles in historical texts.

A new app helps those with epilepsy track and manage their health effectively.

A method to create machine-readable data before publication to improve research efficiency.

A new web application aids reintegration for those released from prison.

Study assesses representation of biomedical topics in science maps.

Exploring the role of microservices in knowledge discovery for patent applications.

Discover how automated methods enhance the identification of valuable datasets from government portals.

Examining difficulties in finding bases in labeled matroids based on abelian groups.

A new approach to rank preferences by emphasizing top choices.

Methods for robots to locate fast-moving targets with limited information.

A deep dive into listing signatures for XOR-CNF formulas and their complexities.

A look into how fire spreads across networks and its significance in social dynamics.

A new method improves efficiency in analyzing quantum states and holographic theories.

Exploring noise sensitivity and stability in random walks across different groups.

Exploring methods to assess program reliability on fast, small chips.

A look into optimizing renewable energy in connected devices.

A look at how quantum and cloud computing connect for future innovations.

A new method to improve user experience in collaborative document editing.

This study enhances federated learning by boosting model diversity while protecting privacy.

A method that reduces energy use in decentralized learning for IoT devices.

A framework to optimize computing resources for modern transportation systems.

Explore performance modeling to enhance efficiency in multi-GPU machine learning training.

LLAMP assesses network latency tolerance for high-performance computing applications effectively.

A look at how quantum and cloud computing connect for future innovations.

RAGAR combines text and images to improve political fact-checking.

A look at combining local SVMs with quantum computing for better data classification.

A look into governance for autonomous systems in today’s world.

A new approach to energy-efficient IoT networks through integrated data and energy solutions.

Efficient synthesis of multi-controlled phase gates enhances quantum computing performance.

Combining quantum computing and federated learning for enhanced data privacy.

New smart glasses monitor activities through inaudible sounds, promoting effortless health tracking.

This article examines the role of multiple counters in finite automata.

Explore the role of tilde-isometric words in string transformations and their applications.

Explore the functional closure properties of finite weighted automata and their significance.

A deep dive into how synchronous algebras recognize automatic relations.

Exploring the efficient application of finite automata in recognizing graph patterns.

A new algorithm enhances the reachability problem in vector addition systems with states.

This study focuses on how robots can plan despite making mistakes.

A look at edit distance and its role in finite state transducers.

A new method makes 3D anatomical learning accessible on mobile devices.

A method that simplifies and speeds up texture editing for images.

Examining the limitations of Fréchet Video Distance in video quality evaluation.

A new approach improves speed and quality in image editing.

A new approach to improve multi-object tracking via 3D data.

CBC3D offers improved mesh generation for surgical planning and simulations.

Learn2Talk merges 2D and 3D techniques for realistic facial animations.

DMesh offers a flexible way to represent and optimize 3D triangular meshes.

Comparing AMD/Xilinx Versal ACAP and Intel Stratix 10 NX in deep learning tasks.

New computing approach boosts performance and efficiency in embedded systems.

Innovative approaches to enhance DRAM performance and security against RowHammer vulnerabilities.

TDRAM improves DRAM cache performance and energy efficiency.

NeuraChip improves efficiency in processing graph data for various applications.

Introducing FLAASH, a system designed to speed up tensor contractions in machine learning.

Introducing a flexible memory framework to optimize deep neural network accelerators.

New systems enhance eye tracking with lower power and faster responses.

A new model enhances activity recognition by focusing on temporal relations among actions.

TROT improves accuracy in recognizing human activities by leveraging temporal relationships.

Exploring how machine learning improves human activity recognition from sensor data.

Exploring how AI influences subjective choices and trust in explanations.

Examining ChatGPT's effect on productivity and personal achievement in the workplace.

Study explores voter perceptions of fake voting credentials to combat coercion.

Innovative system enhances data integration and visualization for urban planning.

Explore how humans and AI work together effectively through agency, interaction, and adaptation.

DPN enhances click-through rate prediction through user behavior modeling.

A new method to improve recommendations using collaborative filtering and language models.

This article examines how LLMs can monitor critical infrastructure during disasters using social media data.

Shotit enables users to find videos quickly using images, streamlining the search process.

A framework enhances next-point-of-interest recommendations using large language models and contextual data.

MIMEA framework enhances alignment across diverse knowledge graphs.

User feedback, especially follow-up comments, improves evaluations of dialogue systems.

A fine-grained method to enhance online shopping recommendations based on user feedback.

New algorithms improve efficiency and accuracy in sparse signal recovery across various fields.

A new coding system enhances error correction in modern communication networks.

A look at emerging technologies for faster communication, focusing on mMIMO and RSMA.

A new method to enhance data transfer over high-frequency channels.

This research highlights new approaches to enhance wireless communication systems.

Stacked intelligent metasurfaces improve signal quality and efficiency in wireless networks.

A new algorithm improves online learning by adapting to incoming data effectively.

A look at the future of wireless networks through ISAC technology.

Examining the relationship between Gödel's theorems and Turing's computation models.

Learn how breaking down complex tasks helps robots navigate effectively.

Examining how hard work impacts success and personal growth.

New methods improve efficiency in weighted model counting, essential for AI and logic.

A systematic approach to quantify differences in DFA behaviors using regular expressions.

Examining how ontologies shape and connect diverse knowledge structures.

Examining new methods for managing distributed systems through innovative logical frameworks.

A look at how truth and classification shape our knowledge.

NCL improves interpretability and performance in machine learning tasks.

A new method to fine-tune models while ensuring data privacy.

Exploring the balance of real and generated data for better machine learning performance.

Create smart agents easily using natural language prompts.

A new model enhances activity recognition by focusing on temporal relations among actions.

Using social media data to enhance Cognitive Behavioral Therapy techniques.

TROT improves accuracy in recognizing human activities by leveraging temporal relationships.

This article examines how preprocessing steps can impact data privacy guarantees.

CBC3D offers improved mesh generation for surgical planning and simulations.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

Discover how LaSDI transforms complex simulations into efficient models.

Exploring PETScML's impact on scientific machine learning through second-order methods.

A novel technique accelerates the analysis of piecewise constant functions.

RAGAR combines text and images to improve political fact-checking.

A framework to optimize computing resources for modern transportation systems.

A new approach for agent-based modeling safeguards individual privacy while maintaining data accuracy.

New simulation approach using learning agents reflects real market dynamics.

A system that simulates battles to reveal soldiers' experiences.

A new approach reduces coordination in multi-agent systems for better navigation.

MA-COPP offers new insights into predicting outcomes in complex multi-agent settings.

This paper examines how permissions affect outcomes in multiagent systems.

Shotit enables users to find videos quickly using images, streamlining the search process.

A new framework for enhancing recommendations without prior data.

Pegasus-1 allows users to interact with videos using natural language.

GaussianTalker offers natural lip synchronization and high-quality visuals for talking head videos.

A new approach allows machines to identify comic characters without prior training.

Mimosa simplifies spatial audio creation for amateur video makers.

The AIS 2024 Challenge seeks to improve video quality assessments using deep learning.

GaussianTalker transforms digital interaction with lifelike talking heads.

A framework offers improved verification for data accuracy in self-driving cars.

A method that reduces energy use in decentralized learning for IoT devices.

ISAC networks are changing the landscape of wireless connectivity and sensing capabilities.

NCR devices enhance 5G service quality, extending coverage and connectivity.

A new model improves traffic speed prediction through causal analysis and data adaptation.

Discover how microservices and containers improve software performance and management.

A new approach to energy-efficient IoT networks through integrated data and energy solutions.

LLAMP assesses network latency tolerance for high-performance computing applications effectively.

Explore the benefits and challenges of multi-objective optimization using NSGA-III.

This article examines how diversity influences genetic algorithm efficiency, especially in the LeadingOnes problem.

A new method aims to reduce bias in machine learning for evolving data streams.

Examining the effectiveness of self-adjusting algorithms for optimization problems.

Explore the connection between thermodynamics and machine learning to simplify complex systems.

A novel approach using genetic programming to enhance loss functions for image classification.

A method for creating adaptable controllers for different robot designs.

This article explores multi-objective optimization and the MOEA/D approach.

Discovering how data-driven approaches enhance material behavior understanding.

This study analyzes heat transfer and fluid movement in porous materials using a finite element model.

This study reveals how grid peeling clarifies parabola shapes through structured removal of points.

Introducing a method to simplify boundary condition calculations for the Schrödinger equation.

Improving eigenvalue estimation through new SoftFEM techniques.

This work introduces a new method for estimating diffusion processes using multilevel Monte Carlo techniques.

CBC3D offers improved mesh generation for surgical planning and simulations.

New integrator enhances particle dynamics simulation for thermal transfer equations.

A new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

A new approach to caching offers better performance in dynamic environments.

A new technique for dynamic memory allocation improves efficiency in large language models.

Unikernels offer efficient solutions for Internet measurement, requiring fewer resources and quicker deployment.

A new system improves GPU checkpointing and restoration for enhanced performance.

ROSfs transforms data sharing among robots for enhanced teamwork.

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.

Explore performance modeling to enhance efficiency in multi-GPU machine learning training.

LLAMP assesses network latency tolerance for high-performance computing applications effectively.

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

New techniques reduce memory access and boost performance in deep learning models.

A new method improves machine learning training efficiency while protecting data privacy.

A look into network slicing and resource management in modern mobile networks.

A new system improves efficiency in analyzing graph data patterns.

New methods improve QR factorization for large, ill-conditioned matrices.

A new method enhances how users create spreadsheet formulas.

This article explores how invariants can improve smart contract security against attacks.

This research focuses on a new type system combining evaluation strategies in programming languages.

A new approach to error bounds using error credits for complex programs.

Learn the importance of validating distributed program traces against specifications.

Examining strategies to improve communication reliability between clients and servers.

A fresh perspective on memory models for better optimization in programming.

Exploring methods to assess program reliability on fast, small chips.

A look into how robots navigate environments using various technologies.

A new framework improves robot safety and navigation in unknown environments.

Strategies for effective control of multi-robot systems in uncertain environments.

A guide to rotation representations and their impact on machine learning.

A new approach to improve multi-object tracking via 3D data.

New approach improves robot object manipulation by measuring energy margins for robustness.

Learn how breaking down complex tasks helps robots navigate effectively.

A fresh approach to multi-robot coordination in rescue operations during emergencies.

This study explores machine learning methods for classifying different types of networks.

Koo connects users across languages, revealing unique interaction patterns.

This article examines the changing connections among Australian MP backgrounds from 1947 to 2019.

This article examines how LLMs can monitor critical infrastructure during disasters using social media data.

Examining how stance detection reveals public opinions on social media.

A new approach for agent-based modeling safeguards individual privacy while maintaining data accuracy.

Examining Twitter discussions reveals public attitudes toward COVID-19 vaccines.

An in-depth look into American gun culture and its online influences.

LogSD improves anomaly detection in log data by focusing on infrequent events.

A look at using language models to evaluate software requirements satisfaction.

This work presents a strategy for agents to independently diagnose and resolve issues.

Using AI to simplify PowerShell code creation for cybersecurity.

This article presents a method for generating test scenarios from natural language requirements.

This article explores installation challenges faced by novice software developers.

This article explores how invariants can improve smart contract security against attacks.

Exploring the concerns around code usage in AI model training.

Exploring AI's role in shaping music through advanced techniques and structures.

A new method enhances speech model performance and efficiency in noisy environments.

A new method combines traditional techniques with neural networks for better sound localization.

A novel approach to enhance acoustic sensing without compromising audio quality.

A new system improves realistic gesture creation using only speech audio.

Notochord enhances real-time MIDI music creation using AI for richer performances.

A method for more intuitive control over singing voices using natural language prompts.

New model emoDARTS improves accuracy in recognizing speech emotions using deep learning.

Exploring AI's role in shaping music through advanced techniques and structures.

Exploring total division in mathematical structures and its implications.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Introducing new methods to improve optical flow estimation using event-based cameras.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A new method to improve predictive models using uncertain data.

A new framework improves robot safety and navigation in unknown environments.

Strategies for effective control of multi-robot systems in uncertain environments.

Innovative strategies for efficient energy use in battery-less IoT devices.

A new mechanical system that adapts to vibrations for energy harvesting and vibration reduction.

Exploring modeling adequacy for inverter-based resources in managing subsynchronous oscillations.

Learn how breaking down complex tasks helps robots navigate effectively.

A new method enhances agreement among agents despite imprecise data and adversarial behavior.

Discover how energy communities empower local production and sharing.