Computer Science

Explore the varied applications of distributed ledger technologies beyond cryptocurrencies.

Examining how different methods influence predictions in ontology-based machine learning.

New methods enhance the tracking of single molecules in living organisms.

Examining the role of trust and distrust in artificial intelligence interactions.

Learn how PBSHM improves structure safety and monitoring efficiency.

A new method improves robot learning with few demonstrations.

This method enhances scene analysis under challenging conditions using RGB and thermal data.

Evaluating AI explanations requires clarity and accuracy, not just sounding reasonable.

Explore the varied applications of distributed ledger technologies beyond cryptocurrencies.

This study evaluates language models using newly created datasets for negation and role reversal.

A new tool enhances understanding of language model decisions using knowledge graphs.

Using Bloom's Taxonomy to create challenging questions for AI tools.

Examining the impact of biases in T2I image generation.

Using federated learning to predict emojis across languages while ensuring data privacy.

This study focuses on better methods for dialogue systems to access relevant knowledge.

A study comparing ChatGPT's summaries to human-generated texts.

This article examines the role of partial concepts in data learning.

New methods improve graph analysis in computer science and data applications.

Exploring innovative methods in distribution testing through parity trace analysis.

New approaches improve quantum function evaluation and reduce query requirements.

This study focuses on updating attention mechanisms for better LLM performance.

A look into how AI models provide explanations for their decisions.

A look at counting problems and methods for practical applications in computer science.

Explore how quantum query complexity shapes computing efficiency compared to classical methods.

Researchers create materials that manage stress through electric fields.

New methods are improving how we study materials under stress.

Learn how sparsification helps manage complex network systems efficiently.

Combining numerical methods and machine learning improves fluid-structure interaction simulations.

A new model improves data tracking in Lattice Quantum Chromodynamics.

This study examines Landau damping using numerical simulations to enhance understanding in plasma behavior.

This article explores how pathway modules assist in studying biochemical networks.

Examining how recrystallization affects Zircaloy-4 in nuclear applications.

Optimizing locations for facilities using cactus graphs can improve urban planning and logistics.

A look into 2-parameter persistence and its role in data analysis.

This study explores how path lengths in graphs on tori can be understood.

Explore the properties and characteristics of knots in mathematics.

A look at edge densities and distributions in maximal 2-planar graphs.

Exploring Voronoi diagrams through Hilbert geometry reveals new insights and applications.

A new algorithm streamlines the process of creating convex hulls in various applications.

Learn about secluded partitions and their role in data handling and algorithms.

A fresh approach to assessing player intelligence using human and machine perspectives.

New methods improve understanding of player strategies in complex environments.

Exploring the balance between openness and effectiveness in sharing information.

A new method encourages timely fine payments among traffic offenders.

A new method for data valuation using Shapley values in KNN models.

Introducing partitioning valuations for better understanding agency in economic scenarios.

Strategies for effective resource allocation in wireless networks facing malicious threats.

New methods improve welfare and revenue in complex systems.

A new framework enhances trajectory prediction accuracy for complex movements.

New methods enhance MRI image quality from incomplete data using dual-domain approaches.

Exploring self-supervised learning methods for efficient point cloud processing.

A novel dataset supports advancements in recognizing Russian text from images.

A new method improves synthetic medical image creation for better AI training.

New methods enhance the tracking of single molecules in living organisms.

AnyFlow improves optical flow estimation for low-resolution images, enhancing motion tracking accuracy.

TriVol offers a solution for high-quality image rendering from sparse point clouds.

Research assesses the academic quality of children's videos on YouTube Kids.

Using Bloom's Taxonomy to create challenging questions for AI tools.

Understanding phenotype definitions is key to improving health research and patient care.

A new approach to measuring and tracking personal health.

Examining the impact of biases in T2I image generation.

Study explores methods to predict low blood glucose events in diabetes patients.

Language models like ChatGPT provide crucial ratings for news sources' credibility.

Explore how Federated Learning transforms patient care and privacy in the healthcare sector.

This article examines the role of IDS in securing RPL networks.

Examining the balance between sharing visuals and protecting personal privacy.

Explore the varied applications of distributed ledger technologies beyond cryptocurrencies.

This study evaluates the impact of mobile attacks on RPL in IoT networks.

Businesses seek new ways to secure data in the cloud with confidential computing.

This article discusses a new method for accurate predictions while maintaining privacy.

A closer look at data collection practices and user privacy rights.

TorKameleon enhances user anonymity by masking traffic within normal media streams.

New methods improve graph analysis in computer science and data applications.

Optimizing locations for facilities using cactus graphs can improve urban planning and logistics.

Introducing a method that compresses data while allowing quick access to information.

Exploring advancements in testing for monotonic properties in Boolean functions.

Exploring innovative methods in distribution testing through parity trace analysis.

Learn how faster evaluations of polynomials can improve various fields.

Exploring efficient indexing for detecting close occurrences of patterns in strings.

This study focuses on updating attention mechanisms for better LLM performance.

Learn how Data Narrative Management Systems streamline data communication.

A novel approach to safeguard user data in streaming analytics.

Machine learning transforms data sharing by improving quality and accessibility.

This work discusses combining SQL with large language models for improved data queries.

An overview of stream processing and the Diba framework for efficient data management.

A new method improves the grouping of related news articles efficiently.

A new model improves data tracking in Lattice Quantum Chromodynamics.

A new method to align knowledge graphs using advanced learning techniques.

A new framework improves metadata quality in digital libraries for better access.

OntoMath 2.0 organizes mathematical knowledge for better access and use.

GLAM institutions face key challenges in making digital collections usable.

A new resource makes Australian parliamentary debates from 1998 to 2022 accessible for research.

An overview of Serbian language processing and its unique challenges.

Creating a hub for climate data to address changing weather patterns.

A method to enhance search access using narratives instead of keywords.

A new model enhances citation prediction using hierarchical graphs.

Discover effective strategies for efficient matrix multiplication.

Learn how faster evaluations of polynomials can improve various fields.

Explore the dynamics and applications of stable matching in various fields.

A look into how stack and queue numbers impact graph organization.

An overview of stable matching and its practical uses in various fields.

This article discusses the issues of replicability in scientific research and machine learning algorithms.

Examining bent functions and their role in secure encryption systems.

Learn about interval-edge coloring and its implications in graph theory.

NNQMD techniques are transforming material science research through enhanced atomic simulations.

Partitioning divides data into manageable groups, enhancing system performance.

A new middleware simplifies data synchronization for various application needs.

New methods enhance coflow scheduling to better meet critical deadlines in data centers.

A decentralized method for verifying device locations in smart city environments.

CosDefense effectively filters harmful updates, safeguarding federated learning performance.

Experts discuss challenges and advancements in scientific workflows.

This work enhances quantum circuit simulations using Tensor Cores and automatic precision selection.

Explore recent TCAM developments, including efficient designs and energy-saving technologies.

Exploring the technical hurdles and advancements in quantum computing systems.

Using ISFETs enhances security for integrated circuits against reverse engineering.

Addressing security risks in advanced non-volatile memory technologies.

Exploring multi-core quantum computing and its impact on problem-solving speed.

Exploring the role of LSTM networks in improving quantum computing accuracy.

A new approach uses ReRAM to enhance finite state automata in machine learning systems.

A new architecture combines neural networks and security features using RRAM technology.

A method for effective translation of recursive definitions between VDM and Isabelle/HOL.

Jumping automata process inputs non-consecutively, offering unique solutions for computational challenges.

A fresh approach to sequence classification using Context-Free Grammars and OWL ontologies.

A look into history-deterministic timed automata and their significance in system verification.

This study examines counting behavior in linear RNNs and their limitations.

A look at the relationship between words and automata in symbol sequences.

A look at max-plus automata and their importance in system performance analysis.

Explore the LCS problem influenced by distance limitations in character selection.

altiro3D makes crafting 3D visuals from 2D images easy and efficient.

LLMMaps provides visual insights into language model performance across various knowledge areas.

A new method boosts convolution efficiency in neural fields for visual data processing.

Learn how to create realistic explosion simulations using physics and computer graphics.

New method enhances color holography for realistic VR and AR experiences.

Introducing +msRNAer, a tool for better understanding COVID-19 spread.

A look into the significance and methods of modeling indoor spaces.

Physical models make biology more tangible and engaging for learners.

A new tool streamlining 3D CNN model deployment on FPGA devices.

Darkside transforms TinyML by boosting efficiency and performance in small devices.

Old data in FPGAs can pose serious security threats in cloud computing.

GreenScale optimizes computing systems for lower carbon emissions through smart scheduling.

A new library enhances complex calculations in PIM architectures.

MIRAGE cache design raises concerns amid evolving security threats.

An overview of stream processing and the Diba framework for efficient data management.

A new method for faster and more efficient multiplication in technology.

Examining the role of trust and distrust in artificial intelligence interactions.

A study on integrating AI-generated content into AR systems.

Evaluating AI explanations requires clarity and accuracy, not just sounding reasonable.

Learn how hybrid visualizations improve data understanding and communication.

This study focuses on recognizing human attention to improve robot assistance in work environments.

Examining how language models reflect human reasoning successes and errors.

Bridging the gap between technology and community involvement in AI.

A look into the structured process of academic writing and its challenges.

This study focuses on better methods for dialogue systems to access relevant knowledge.

Discover how visual search tools are changing online fashion shopping.

Combining LLMs with reliable data enhances accuracy in climate change information.

A look at the Archive Query Log and its significance in internet search behavior.

A new method improves assessment of search query effectiveness.

Language models like ChatGPT provide crucial ratings for news sources' credibility.

Learn about essential measures for assessing information retrieval systems and their effectiveness.

Discover how the FANS model improves online content recommendations.

A closer look at 5G-Advanced and its role in future networks.

New methods improve channel estimation for underwater communication using visible light.

A fresh approach for understanding dependent random variables using the Hellinger integral.

Exploring the potential of additive codes in improving error correction.

Factor graphs improve robot performance by managing sensor data and measuring redundancy.

Holographic MIMO enhances data transmission but faces challenges like mutual coupling.

A new method to improve mobile connections by reducing handovers.

New algorithms improve efficiency and accuracy in matrix recovery.

Examining how different methods influence predictions in ontology-based machine learning.

New methods improve graph analysis in computer science and data applications.

A look at Lilac, a new logic for ensuring correctness in probabilistic programming.

This article explores the concept of 'knowing how' and its significance across various disciplines.

Combining diverse logic systems to create innovative proof structures.

Evaluating inductive theorem provers with a comprehensive new benchmark of 30,000 problems.

A look into history-deterministic timed automata and their significance in system verification.

Methods for checking consistency in memory models of concurrent software.

Using importance sampling can enhance neural network training efficiency and performance.

A new method improves synthetic medical image creation for better AI training.

Learn how PBSHM improves structure safety and monitoring efficiency.

Learn how SNNs replicate brain processes for efficient computing.

This article examines how loss functions affect machine learning model performance.

A framework to guide pre-training decisions for graph neural networks.

New methods improve channel estimation for underwater communication using visible light.

A look at how function complexity affects model performance.

A new library enhances complex calculations in PIM architectures.

Discover how local graph clustering simplifies data analysis in large networks.

Waywiser simplifies assessment of spatial models for reliable predictions.

A look into LU factorization and its importance in solving linear equations.

A look at methods improving nonlinear optimization under constraints.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

A new framework enhances geophysical studies through machine learning integration.

Researchers enhance simulation performance using GPUs for complex materials.

New algorithms improve agent coordination in pickup and delivery tasks under delays.

A new method to improve learning in multi-agent systems through selective experience reuse.

MAGNNETO improves network traffic management through advanced techniques like MARL and GNN.

AI4GCC promotes collaboration among regions to combat climate change effectively.

Introducing MAG to improve coordination in multi-agent reinforcement learning.

A new method encourages timely fine payments among traffic offenders.

Examining the challenges and solutions of Byzantine faults in distributed systems.

New framework improves agent collaboration through action anticipation in complex environments.

Exploring new methods for evaluating light field images without reference images.

altiro3D makes crafting 3D visuals from 2D images easy and efficient.

A new method for efficient video compression using deep learning techniques.

Learn how video compression improves streaming quality and efficiency.

A new system improves the detection of fake news in online communications.

AIOZ-GDANCE promotes research in creating group dance movements based on music.

A system that generates fashion images using text, sketches, and poses.

Research improves machines' ability to locate objects that make sounds in videos.

A closer look at 5G-Advanced and its role in future networks.

A new method to improve mobile connections by reducing handovers.

This article highlights the impact of computational delays on Wi-Fi rate adaptation.

New method uses Wi-Fi signals to recognize multiple people’s activities simultaneously.

MAGNNETO improves network traffic management through advanced techniques like MARL and GNN.

Enhancing VR experiences through accurate user movement predictions.

A new multi-factor authentication scheme enhances security in integrated networks.

A look into efficient resource management for better user experiences.

Learn how SNNs replicate brain processes for efficient computing.

Exploring how mate preferences enhance diversity in Genetic Programming solutions.

This article discusses a new algorithm inspired by epigenetics for better optimization.

A comparison of Genetic Algorithm and CMA-ES in bridge design.

Learn how automation can simplify network design and reduce costs for internet providers.

SDM offers a way for networks to learn continuously without forgetting old information.

Deep-BIAS improves bias detection in algorithms using deep learning technology.

Exploring how brain functions can shape better AI systems.

Learn how isogeometric analysis improves design and analysis in engineering and physics.

Exploring the diffuse interface method for solving vector-valued surface PDEs.

Exploring discrete gradient methods for irreversible port-Hamiltonian systems in thermodynamics.

A multiscale model enhances insights into sea ice behavior and climate forecasting.

Learn how multi-view clustering improves data analysis through varied perspectives.

New selection formulas improve accuracy in Sinc approximation methods.

New methods improve predictions of time-evolving complex systems using multifidelity models.

Exploring the benefits of POD-MCI in nuclear reactor simulations.

Businesses seek new ways to secure data in the cloud with confidential computing.

A new framework for easier FPGA use in virtual environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New method improves resource allocation for users with changing needs.

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.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

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.

Learn how job-size testing can improve computer system performance.

New representation improves predictions for HPC applications across various hardware systems.

A study on the efficiency of Java's execution methods.

Learn how to handle cold-start issues in serverless cloud services effectively.

This article discusses the importance of computational performance in concept drift detection.

A new approach improving performance in column-stores through hybrid materialization techniques.

Data preprocessing is key to efficient deep neural network training.

Innovative techniques for optimizing sparse matrices in high-performance computing.

This article discusses the challenges and tools for translating VDM models to Isabelle/HOL.

Operads help ensure correct integration of code in software development.

A look at Lilac, a new logic for ensuring correctness in probabilistic programming.

Learn how to automate the expected results of programs using probability and recursion.

Gaze detection offers insights into attention and emotions across various fields.

This method simplifies the integration of Python and C++ for scientists.

A new method improves selective image editing using user demonstrations and AI.

A unified approach to resource management and information flow in programming languages.

A new method improves robot learning with few demonstrations.

This method enhances scene analysis under challenging conditions using RGB and thermal data.

New soft sensor enhances robot interaction through pressure measurement and location detection.

Factor graphs improve robot performance by managing sensor data and measuring redundancy.

This study focuses on recognizing human attention to improve robot assistance in work environments.

A study comparing innovative methods for training autonomous agents using random targets.

Robo3D evaluates 3D perception systems under challenging conditions for self-driving cars.

A new system improves communication between users and robots using voice commands.

Examining how opinions shift in groups with changing membership.

A look into efficient resource management for better user experiences.

New dataset reveals challenges of mixed-language social media communication in India.

This article examines how sharing information influences wealth distribution in society.

A look at how groups form and change through time and memory.

Examining how social connections influence epidemic control strategies.

A study on how age and language skills influence information searching online.

Study reveals how link recommendations shape social network dynamics over time.

A new method enhances QoS prediction using advanced algorithms and user interactions.

A multi-perspective approach to assess the accuracy of BPS models.

AI models now generate code, simplifying programming for developers.

A summary of key issues faced by developers using machine learning in software.

A review of advancements in Automated Program Repair methods and their future potential.

This study enhances the recommendation process for reviewers focusing on architecture issues.

Examining how poor architectural choices relate to concurrency issues in software.

New dataset enhances detection of software vulnerabilities using deep learning.

Research teams compete in improving speech quality amidst background noise.

A new model that improves speech recognition in multi-speaker settings.

New methods improve speech recognition accuracy and efficiency.

Recent methods improve speech recognition without relying on labeled data.

LMCodec compresses audio effectively while preserving quality for clear communication.

This article highlights how self-supervised learning helps improve speech recognition systems.

AIOZ-GDANCE promotes research in creating group dance movements based on music.

This study reveals patterns in sperm whale sounds and their potential meanings.

New variants of B ezout subresultants improve polynomial computation efficiency.