Computer Science

Exploring methods to enhance machine learning efficiency in healthcare settings.

Introducing DnX and FastDnX for better understanding GNN predictions.

A method for quickly measuring uncertainty in deep learning models.

Examining the potential and pitfalls of LLMs in educational environments.

A new method for identifying duplicate images in large datasets.

Combining infrared and visible images enhances pedestrian detection at night.

This article discusses how partial recommendations affect outcomes in machine learning systems.

Research focuses on identifying adversarial patches to enhance system safety.

Examining the potential and pitfalls of LLMs in educational environments.

Examining how user experiences shape future interactions with intelligent assistants.

Enhancing dialogue systems through diverse training data generation.

Research focuses on detecting hate speech in Arabic during COVID-19.

A new metric enhances ASR performance evaluation for medical transcription accuracy.

A look into two types of recall in language understanding systems.

A new method improves language model training while saving resources.

A new method for detecting unknown words using a regular webcam.

A look into the challenges of finding clusters in graphs.

A deep dive into circuit lower bounds and their significance in computational complexity.

New methods improve the accuracy of distinguishing quantum states in research.

Learn about the key aspects of quantum state synthesis and its applications.

A comparison of classical and quantum computing methodologies and their implications.

A concise overview of graphs, their types, and decomposition methods.

A look at runtime complexity and tuple interpretations in algorithm efficiency.

A look into the complexities of identifying hidden strings using queries.

A new approach that links design and simulation for better efficiency.

GDL helps engineers efficiently tackle design problems using graph structures.

An innovative approach to forecast stock price changes through image classification.

A new model improves groundwater predictions efficiently and affordably.

A new method combines GPUs and CPUs for efficient fluid-particle simulations.

NSTO simplifies structure design, offering speed and quality improvements.

A new method improves efficiency in analyzing material behavior across multiple shapes.

Combining mechanistic and data-driven methods for better modeling in chemical engineering.

This article discusses the limits of the Colin de Verdière parameter for graphs on surfaces.

This article discusses the use of GPU filtering to improve convex hull computation speed.

A new method improves matching 3D shapes using meshes and point clouds.

Discover the blend of fractals and advanced numbers for stunning visuals.

Researchers find significant counterexamples challenging conjectures in manifold topology.

An overview of 3-manifolds and their properties in mathematics.

Learn how filtration helps analyze data relationships and reveals insights.

This article discusses the difficulty of embedding graphs in structured forms.

Explore how Ethereum's shift to PoS changes validator rewards and performance.

A look into cooperative games, focusing on the assignment game and core concepts.

Examining how market operators can set effective prices with limited supplier data.

Improving methods for strategy discovery in complex extensive-form games.

Examining fair distribution strategies among agents with varying valuations.

This article discusses a new incentive system for users in sponsored content.

An analysis of competition, voter preferences, and party strategies in elections.

Exploring the role of Regulatory Markets in promoting safe AI practices.

New technologies enhance the detection of Fusarium head blight in wheat.

A new deep learning approach improves alignment of medical images for better analysis.

A method for quickly measuring uncertainty in deep learning models.

A new approach that links design and simulation for better efficiency.

A new method for identifying duplicate images in large datasets.

Combining infrared and visible images enhances pedestrian detection at night.

A new method enhances automatic report generation in radiology.

New dataset tackles real-world challenges in active speaker detection technology.

This study examines AI's role in shaping views on disputed territories.

Examining the potential and pitfalls of LLMs in educational environments.

Research highlights the impact of gender bias in tech tasks.

AR applications can improve face-to-face interactions with friends and pets.

Introducing the SCIENCE-index to promote collaboration among researchers through data sharing.

Discovering methods to enhance hate speech detection using human-written examples.

Key points on validating AI-based diagnostic devices.

A workshop to improve data visualization education and skills through collaborative efforts.

Explore how Ethereum's shift to PoS changes validator rewards and performance.

Research reveals a method to improve adversarial examples' effectiveness in fooling machine learning models.

A look at how data affects machine learning models' ability to resist adversarial attacks.

This study explores LiDAR spoofing attacks and their implications for self-driving cars.

Using blockchain and zero-knowledge proofs to improve trust and confidentiality in collaborations.

A novel approach addresses privacy concerns in retinal imaging while retaining clinical details.

Learn how to spot mobile apps that may invade privacy.

A look at how public datasets improve private data insights while maintaining privacy.

A look at how quantum channel certification secures the functioning of quantum systems.

New classical algorithm competes with quantum methods in machine learning tasks.

Understanding the complexities of exploring graphs with unlabeled nodes.

A look into cooperative games, focusing on the assignment game and core concepts.

Learn how sparse arrays optimize data storage and analysis in modern computing.

This article discusses a method for calculating metric dimension in chordal graphs using treewidth.

A look at how public datasets improve private data insights while maintaining privacy.

New data structures reduce space for finite groups while enabling quick multiplication.

A new system enhances the speed of materialized view updates using efficient memory strategies.

New method improves query answering using relational patterns in knowledge graphs.

This study analyzes termination algorithms for managing database rules effectively.

Exploring the importance of why-provenance in database query explanations.

Learn about handling transactions in databases for improved performance and reliability.

A look at GETT-QA's role in efficient information retrieval using knowledge graphs.

A tool that rewrites code to enhance data analysis performance effortlessly.

Exploring how machine learning enhances crime prediction for effective law enforcement.

A new method aims to clarify authorship in academic papers.

A study reveals the complex relationship between past discoveries and new research impact.

DBLP-QuAD provides 10,000 question-answer pairs for academic publications.

A new data set that connects research artifacts and publications for deeper insights.

A study on how well documents are accessed in mixed search systems.

A new data set enhances research with 1.9 million academic papers and improved citation networks.

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

OntoMath 2.0 organizes mathematical knowledge for better access and use.

A look into the challenges of finding clusters in graphs.

Learn how sparse arrays optimize data storage and analysis in modern computing.

New methods tackle storage constraints in time-dependent routing problems effectively.

New data structures reduce space for finite groups while enabling quick multiplication.

This article discusses odd coloring and its implications in graph theory.

A concise overview of graphs, their types, and decomposition methods.

An overview of quasirandom permutations and their significance in various fields.

This study presents methods for searching effectively with unreliable agents on an infinite line.

New sampling techniques enhance accuracy and efficiency in analyzing complex hidden systems.

Exploring AdaSAM's impact on machine learning model training efficiency and performance.

A new method helps users monitor decentralized applications running on cloud platforms.

Leveraging GPUs to enhance inventory management for perishable goods.

Examining normalization techniques and update frequency in federated learning performance.

This article discusses the use of GPU filtering to improve convex hull computation speed.

A novel communication library reduces deadlocks and enhances GPU training efficiency.

An innovative tool for learning about resource management in diverse computing systems.

Discover how Ising machines improve generative model training.

BrainScaleS mimics brain activity to enhance research on neural behaviors.

New methods aim to enhance tracking of tiny devices in the human body.

This study investigates how robots can coat surfaces using tiles efficiently.

New memory technology improves efficiency and speed using light and phase change materials.

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.

A new approach to visualize and analyze complex business processes.

Learn how DyVeRG tracks evolving connections in various fields.

This article discusses how languages grow using symbols and mathematical concepts.

Learn about automata types, their states, inputs, and outputs.

This study examines the relationship between automata and bicategories for deeper insights.

A guide to the concepts and applications of Temporal Logic in computer science.

A concise overview of finitary automata and the importance of reducing their complexity.

Researchers bridge DPO hypergraph grammars and hypergraph Lambek grammars for better language understanding.

Investigating ChatGPT's view on its own intelligence and implications for consciousness.

A new approach that links design and simulation for better efficiency.

Learn how secondary motion enhances realism in animated scenes.

A new method streamlines motion capture by estimating joint locations automatically.

Learn how animators create realistic breakage using advanced simulation techniques.

A new method combines sketches and text for improved 3D model editing.

A workshop to improve data visualization education and skills through collaborative efforts.

SECAD-Net simplifies the creation of editable CAD models from raw data using self-supervised learning.

Optimizing kitchen layouts to improve teamwork between humans and robots.

Exploring the role of deep learning in improving FPGA design efficiency.

An innovative tool for learning about resource management in diverse computing systems.

A framework for assessing soft error risks in FPGA systems early in design.

New simulation environment boosts Logic-in-Memory research and efficiency.

DiffPattern generates diverse and compliant layout patterns for integrated circuits efficiently.

A new model aids in studying DRAM caches and their role in memory systems.

A new model enhances DRAM cache performance analysis in computer systems.

Explore how FPGA enhances key-value store performance for modern applications.

This article explores how metacognition and motivation influence student learning success.

Examining how user experiences shape future interactions with intelligent assistants.

A new approach for efficient team document collaboration using markup and version control.

An interactive tool to fix type errors efficiently in Haskell programming.

Mixing problem-solving techniques boosts students' metacognitive skills and academic success.

Research reveals effective teaching methods for logic and probability skills.

Research shows effective teaching can improve problem-solving skills in students.

AR applications can improve face-to-face interactions with friends and pets.

This study enhances ranking evaluations through interleaving and statistical testing.

A comprehensive evaluation of tools for extracting data from academic PDFs.

Discover how the IMF model improves link prediction accuracy using diverse data types.

A method for creating Song Ci lyrics using machine learning and linguistic analysis.

Introducing an innovative app for personalized book suggestions in public libraries.

A new method reduces search bias and boosts content visibility.

A new system improves video retrieval using user-generated dialogues.

A fresh method to enhance location suggestions based on user history and preferences.

A look at how quantum channel certification secures the functioning of quantum systems.

Discover how quantum mechanics can conceal messages within normal communication.

New methods tackle storage constraints in time-dependent routing problems effectively.

This article discusses the role of multiple drones in gathering timely data.

How Automorphism Ensemble Decoding improves communication for future technologies.

Learn how model compression optimizes deep learning for practical applications.

Exploring time-entangled photons and their role in secure key generation.

New methods improve the accuracy of distinguishing quantum states in research.

This article explores how metacognition and motivation influence student learning success.

Mixing problem-solving techniques boosts students' metacognitive skills and academic success.

Research reveals effective teaching methods for logic and probability skills.

A look into Cyberlogic's role in managing secure digital transactions.

This article discusses methods for counting homomorphisms in hypergraphs.

Discover new techniques for studying infinite sequences with stream calculus.

Exploring new methods and interpretations in modal type theories.

A clear guide on Binary Decision Diagrams and their applications.

New technologies enhance the detection of Fusarium head blight in wheat.

Research highlights the role of weight structure in deep learning model performance.

Exploring methods to enhance machine learning efficiency in healthcare settings.

Introducing DnX and FastDnX for better understanding GNN predictions.

This article discusses how partial recommendations affect outcomes in machine learning systems.

This article presents a new method for interpreting neural network outputs through inversion.

Exploring AdaSAM's impact on machine learning model training efficiency and performance.

New tools enhance the accuracy of answering questions using table data.

EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.

Explore how Python and C++ work together for efficient data analysis.

Rang helps researchers document and recreate their computational environments for accurate analysis.

Combining machine learning and PDEs improves modeling of complex physical systems.

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 new method for consensus control prioritizes privacy while enabling effective communication among agents.

A new approach to inventory management combines adaptability with clear decision-making.

Introducing DEAM, a new model that enhances deceptive strategies in reinforcement learning.

Agents enhance task performance by discovering and utilizing communication channels effectively.

Explore how federated decision-making enhances privacy while allowing collective intelligence.

Exploring how robots can work together efficiently in complex environments.

This model offers a new approach to allocate healthcare resources fairly and efficiently.

EqMotion improves motion prediction by focusing on agent interactions and perspective changes.

GlueGen transforms how text and other inputs create images.

This study merges audio descriptions with images to evaluate low-light photography quality.

Generative AI tools are changing the way we create content across various fields.

A new method enhances federated learning model accuracy while protecting user data.

Learn the essentials for formatting documents for ACM conferences and journals.

A new model improves audio classification using advanced techniques.

New framework improves image generation from text descriptions through separation techniques.

Using user comments to improve the classification of mixed media content.

A study on improving detection systems for augmented-reality driving applications.

This study focuses on improving the movement of Mobile Access Points using AI.

A new method helps users monitor decentralized applications running on cloud platforms.

Examining how O-RAN can enhance connectivity in autonomous vehicles.

New algorithms enhance detection capabilities against IoT cyberattacks.

LogQA streamlines log analysis, offering direct answers to operators' queries.

A look at improving device access in mobile networks using smart techniques.

New methods for improving wireless data transfer without changing the receiver.

NeuroDM combines brain science and data mining for better insights and outcomes.

Discover how Ising machines improve generative model training.

Researchers explore machine learning using unique wave behavior in liquid systems.

New model improves control of prosthetic hands using sEMG signals.

Exploring privacy challenges and solutions in evolutionary computation algorithms.

BrainScaleS mimics brain activity to enhance research on neural behaviors.

A new method enhances search for neural networks by balancing performance metrics.

A new method enhances video resolution efficiently using deep learning.

This article presents a new method for interpreting neural network outputs through inversion.

This article explores numerical methods for solving the Cauchy problem effectively.

Exploring the designs and functions of low Reynolds number swimmers.

A method using Quasi-Monte Carlo for efficient volume and surface area calculations.

A method to simplify solving complex partial differential equations for various applications.

Learn how machine learning improves beam analysis in engineering.

A guide to adaptive sampling techniques for better data collection and modeling.

Learn about the retina's role and advances in vision science.

An innovative tool for learning about resource management in diverse computing systems.

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.

Exploring how digital twins enhance safety and trust in autonomous drone operations.

Research aims to improve search techniques using drones in SAR missions.

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.

AwkwardForth enhances Uproot for faster ROOT file processing.

Innovative algorithms improve resource scheduling without precise network state knowledge.

Learn how range regularization enhances AI model compression and quantization.

A new model aids in studying DRAM caches and their role in memory systems.

A new model enhances DRAM cache performance analysis in computer systems.

CXL memory offers a promising way to meet rising demands for speed and capacity.

Using machine learning to optimize storage formats for sparse matrices.

A method to improve performance and save energy in scientific applications.

An interactive tool to fix type errors efficiently in Haskell programming.

This article discusses a method for converting C code to Rust with a focus on ownership.

A look into the rules and strategies of chess.

A look at improving fexprs' performance through partial evaluation in Lisp programming.

Learn about handling transactions in databases for improved performance and reliability.

A new compiler optimization method enhances data access speeds in distributed systems.

A tool that rewrites code to enhance data analysis performance effortlessly.

SAFE-CSV simplifies and strengthens data processing for CSV files.

Researchers enhance robot performance in insertion tasks using compliance and contact formations.

Researchers develop new methods for robot safety in complex environments.

Robots learn grasping techniques via simple remote guidance from non-experts.

Researchers enhance team performance with adaptive workload allocation in human-robot systems.

New methods enhance model adaptability for dynamic environments using multiple data sources.

Robots adapt to changing environments using real-time motion planning methods.

New methods improve robot stability amidst unpredictable conditions.

A new method enhances time series alignment for better performance in various applications.

A study on managing rumor spread using user impressions.

A model exploring connections in directed networks using hyperbolic graphs.

Explore how federated decision-making enhances privacy while allowing collective intelligence.

A fresh approach to tackle rumors across different topics using advanced techniques.

Learn how DyVeRG tracks evolving connections in various fields.

A look into posts and user interactions on Truth Social.

DG-Trans provides a fresh approach to predicting traffic disruptions from incidents.

Study reveals how provenance affects perceptions of media credibility.

Research highlights the impact of gender bias in tech tasks.

Architectural blogs provide key insights for software design decisions.

A study on the usage and adoption of TypeScript features by developers.

This article discusses a method for converting C code to Rust with a focus on ownership.

Explore recent developments in automated tools for fixing software bugs.

A new method simplifies error checking in quantum circuits with automated assertions.

AB-BPM blends AB testing with reinforcement learning for better business processes.

Examining method chaining in Java, Kotlin, and Python.

New dataset tackles real-world challenges in active speaker detection technology.

A new metric enhances ASR performance evaluation for medical transcription accuracy.

A new method enhances Automatic Speech Recognition against adversarial challenges.

This study focuses on enhancing intent classification through speech improvement techniques.

This study examines how training techniques affect speech model performance.

New methods improve room acoustic estimations using sound analysis.

A new model improves sound experiences by incorporating visuals and personal factors.

Reducing model size for better speech recognition on smartphones and wearables.