Computer Science

A method to identify and recreate concepts from images without human input.

Learn how to classify incomplete data in knowledge graphs using Naive Bayes classifiers.

ProtoSAM offers effective segmentation with minimal data, showing promise in medical imaging.

A study on travel time prediction for Islamabad's busy routes.

Using unlabeled videos to improve action recognition in lengthy videos.

A project to improve text recognition for Spanish documents using TrOCR.

A tool designed to generate rap lyrics with reduced offensive language.

Exploring new ways AI can collaborate with musicians through interpretation.

A model analyzes user interactions and sentiments in climate change discussions.

Exploring how machines can follow human directions in real-world spaces.

This article discusses how LLMs can automate health insurance processes through smart contracts.

Exploring recent developments in machine translation and the benefits of user interaction.

A new framework controls in-context learning to prevent misuse in AI models.

A project to improve text recognition for Spanish documents using TrOCR.

A tool designed to generate rap lyrics with reduced offensive language.

A study on how stereotypes affect language models using the GlobalBias dataset.

Explore the complexities of counting induced subgraphs in various graph properties.

This article discusses deducibility in the Lambek calculus and its complexities.

A deep dive into the behavior of Boolean functions and their approximate degrees.

An overview of graph polynomials and their relevance in various fields.

Exploring strategies for multiplying Boolean matrices using different formulas.

An overview of algorithms and their limitations in constraint satisfaction problems.

An exploration of the complexities in Snake Cube puzzles and their variations.

A look into polynomials, ROABPs, and their relationship with complexity.

TeVAE model efficiently identifies anomalies in vehicle powertrain tests using time-series data.

A competition focuses on using ML for airfoil design simulations.

This method enhances shape representation and performance prediction in design.

New approach enhances decision-making by adapting insights from low-cost environments.

FAR-Trans dataset offers insights for improving investment recommendations based on real transaction data.

Anvil simplifies design optimization by integrating CAD, CFD, and AI techniques.

A look at how network theory reveals galaxy relationships in the Coma Supercluster.

This method improves vortex separation in turbulent flows for better analysis.

Examining Cech persistence diagrams for better data analysis and machine learning applications.

Combining k-center and k-median for advanced data analysis.

A new method improves matching of non-rigid 3D shapes amid noise and distortions.

A look at disk graphs and their role in complex networks.

New algorithm improves bipartization solutions in disk graphs.

An exploration of the complexities in Snake Cube puzzles and their variations.

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

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

Learn how two-stage contracts address agent behavior and principal challenges.

Payments among agents can influence auction outcomes and cooperation among players.

Language models enhance communication for better decision-making.

Optimizing job scheduling can enhance customer satisfaction and business performance.

A deep dive into Proof-of-Stake mechanics and participation strategies.

A study on effective matching strategies considering preferences and constraints.

An overview of online matroid embeddings and their applications in decision-making.

IdentityChain combines privacy and compliance for secure identity management.

New method reduces radiation in DSA imaging while improving image quality.

A method to identify and recreate concepts from images without human input.

CTSLAM enhances robotic localization and mapping using flexible data integration.

ProtoSAM offers effective segmentation with minimal data, showing promise in medical imaging.

Exploring how machines can follow human directions in real-world spaces.

Using unlabeled videos to improve action recognition in lengthy videos.

A new merging algorithm improves 3D instance segmentation accuracy significantly.

This study examines how well models represent diverse cultures.

A study on how stereotypes affect language models using the GlobalBias dataset.

Explores how language models portray emotions linked to diverse religions.

Examining the role of red teaming in testing AI systems for risks.

This paper evaluates LLM performance in a Theory of Computing course.

A new benchmark aims to assess AI safety risks effectively.

A survey reveals rising support for AI rights alongside concerns about its dangers.

Exploring new roles and ethical responsibilities for software engineers.

Regulations guide the safe and fair use of AI technologies across various sectors.

A look at federated learning combining differential privacy and blockchain for data security.

A new framework controls in-context learning to prevent misuse in AI models.

This study reveals how non-adversarial attacks impact knowledge graph embedding algorithms.

A new framework evaluates methods for anonymizing biometric data to enhance privacy.

Examining deep learning's impact on watermarking techniques and security challenges.

New methods aim to secure machine learning models against backdoor threats.

A new method for efficient data deduplication in federated learning.

A new model improves data privacy while enhancing machine learning accuracy.

Discover efficient methods for the minimax path problem in weighted graphs.

Explore the complexities of counting induced subgraphs in various graph properties.

New routing strategies improve efficiency in transportation networks.

Researchers link spatial search, state transfer, and sampling in quantum computing.

A fresh approach to connect terminal nodes efficiently in directed rooted networks.

EFVFL provides a stable method for efficient communication without sharing private data.

This research presents optimal methods for two devices to share resources effectively.

Combining CDAWG and SLG for effective pattern matching in compressed text.

A look into the rise and applications of graph databases.

A look at key data pipeline tools and their roles in data engineering.

Streamlining data preparation and ML code to enhance accuracy and efficiency.

Discover how the Semantic SQL Transducer improves data clarity and management.

ACoNE offers an efficient model for generating explainable query embeddings.

A look into how anomaly detection improves business efficiency and identifies issues.

Ensuring buyer privacy is crucial as data markets grow.

Discover how process mining improves efficiency and decision-making for organizations.

GraphMuse streamlines the analysis of symbolic music data with advanced machine learning techniques.

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.

This article examines the link between GHZ states and graph theory.

A new method to manage workloads efficiently by optimizing core usage.

A look into how stochastic drift influences decision-making and optimization.

New techniques improve reliability in data transmission using graph structures.

An overview of graph polynomials and their relevance in various fields.

Exploring the functions and applications of tree automata in computer science.

A faster approach for estimating contextuality in multi-qubit systems.

A novel approach improves how scientists reconcile gene and species trees.

A guide to various Kubernetes setups and their functionalities.

New method enhances efficiency in solving optimal control problems with PDEs.

A new method to manage workloads efficiently by optimizing core usage.

Explore the fundamentals of Federated Learning and its importance in data privacy.

A formal approach to ensure reliability in stateful dataflow systems like Apache Flink.

A study comparing hierarchical inference and traditional methods in edge devices.

Recent developments improve speed and efficiency in quantum circuit simulations.

A new framework for efficient training of language models across multiple computers.

A look at federated learning combining differential privacy and blockchain for data security.

An overview of advancements in quantum computing and circuit design.

A survey reveals rising support for AI rights alongside concerns about its dangers.

Exploring the digital shift and its impact on maritime cybersecurity.

New methods in reinforcement learning leverage RRAM for improved efficiency and performance.

New neural networks using memristors enhance efficiency and adaptability.

Examining the role and impact of kill switches for smart contracts.

Exploring how online imagery shapes our self-perception and connections.

This article explores mailbox communication and its role in finite-state machines.

Learn how automata theory enhances the performance of language models.

Exploring how history-determinism and fair simulation relate in automata theory.

Exploring Generalized Timed Automata's impact on system decision-making and time management.

Exploring the functions and applications of tree automata in computer science.

Exploring the complexities of transforming NFAs into DFAs in computer science.

Exploring state complexity in automata theory and its implications for language processing.

An examination of randomness and complexity in sequences of symbols.

An overview of deep learning methods for 3D modeling from images.

This study examines avatar interaction methods to improve VR experiences.

Examining how feedback during collisions shapes user experience in crowded VR spaces.

Exploring the integration of neural networks in geometry for improved surface representation.

This article presents a method to align diverse character movements effectively.

AirSketch turns hand movements into clear sketches using ordinary cameras.

New VR simulator aids in training self-driving cars for real-life scenarios.

A new method enhances image representation by identifying discontinuities during processing.

A study revealing security flaws in popular mobile payment applications.

A unified TEE design improves CPU and NPU collaboration for secure computing.

A novel approach to optimizing digital circuit designs using deep learning methods.

FlexCross improves network data processing speed and flexibility, meeting modern demands.

Combining visuals and language enhances hardware code generation accuracy.

ARCO enhances deep learning model performance through intelligent hardware and software collaboration.

A new technique improves energy use in tree-based machine learning.

Learn how weight block sparsity boosts AI performance and efficiency.

A study on cognitive biases affecting quality evaluations in crowdsourced tasks.

HexTiles uses hexagons to present geospatial data more effectively.

New tools aim to improve accuracy in scientific citation attribution.

Exploring the role of virtual agents in supporting alcohol use counseling.

A robotic system effectively measures object positions that change appearance.

This study examines avatar interaction methods to improve VR experiences.

Examining how feedback during collisions shapes user experience in crowded VR spaces.

Examining the role of red teaming in testing AI systems for risks.

A system to help Microsoft sellers find relevant content for business opportunities.

Assessing the effectiveness of retrieval methods over time is crucial for modern searches.

New approaches propose better handling of ties in rankings across various fields.

CADC method improves recommendation system efficiency by managing large datasets effectively.

Researching mental health through social media user posts.

Exploring efficient methods for patent analysis using automation.

SEE offers an efficient approach to identify fake news using raw evidence from the internet.

This study analyzes issues in argument retrieval models and dataset quality.

New techniques improve reliability in data transmission using graph structures.

Enhancing mobile networks for better energy savings and performance.

Learn how to protect sensitive commitments from eavesdroppers.

A new approach for better connectivity using satellites and aerial networks.

Learn how quantum random codes enhance error correction in quantum computing.

An overview of group codes for effective information transmission.

New methods enhance LDPC decoding performance in 5G networks.

Exploring how information shapes structures in nature, culture, and technology.

A look into higher categories and their role in complex relationships.

A look into MDPs and their role in decision-making under uncertainty.

This article explores mailbox communication and its role in finite-state machines.

Explore how termination checkers help programs complete their tasks without infinite loops.

Explore how Markov Decision Processes aid in managing uncertain outcomes with risk considerations.

Advancing the transfer of proofs across different mathematical systems efficiently.

A method connects classical and intuitionistic logic through higher-order transformations.

A guide to managing binding contexts and their importance in logical reasoning.

This research improves machine learning model reliability via calibration and recalibration techniques.

FreeCG enhances molecular modeling by improving efficiency and accuracy.

A look at federated learning combining differential privacy and blockchain for data security.

New methods enhance solving complex fractional partial differential equations.

A method to help robots gauge object shapes and positions.

An overview of symplectomorphism neural networks and their importance in Hamiltonian systems.

New generative model improves drug candidate creation using deep learning techniques.

A system to help Microsoft sellers find relevant content for business opportunities.

A user-friendly tool for building Petri Nets and simulating complex systems.

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.

This article discusses a method for safe spacecraft docking in complex orbits.

Payments among agents can influence auction outcomes and cooperation among players.

Examining how social media influences opinion formation and polarization.

A guide to popular physics engines for reinforcement learning research.

A new method allows agents to adapt quickly when failures occur.

Discover how StockAgent uses AI to simulate stock trading and analyze market behavior.

This study examines how LLMs change information through interactions.

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

New AI model improves chest X-ray interpretation for better diagnoses.

A new method to generate engaging social media content using AI.

Discover how AI is transforming music generation with BandControlNet.

A novel approach improves deepfake detection using audio-visual analysis.

A new method enhances stuttering detection by combining audio, video, and text data.

A study on improving sound source localization by better using audio and visual information.

TemporalStory improves image generation for storytelling by enhancing coherence and context.

A new tool to assess replication in AI-made music.

A new approach to enhance mobile network performance using machine learning.

A method to predict internet service degradation using early network metrics.

AR and VR demand better networks for a seamless user experience.

Study reveals how 5G data patterns can expose user activity.

Exploring solutions for timely data transmission in modern communication networks.

Tackling data contamination for better cybersecurity and anomaly detection systems.

FlexCross improves network data processing speed and flexibility, meeting modern demands.

Cell-free networks improve wireless communication, offering better connectivity and performance.

Examining the impact of periodic activation functions on learning efficiency and generalization.

This paper introduces a framework for gray-box optimization to improve problem-solving techniques.

Using Genetic Programming to enhance DNA sequence analysis and predictions.

Assessing LLM capabilities using grid-based games like Tic-Tac-Toe and Connect Four.

Learn how active inference enhances self-driving car capabilities.

OIDD enhances soft robot design for better adaptability and performance.

An overview of using the Categorical Compact Genetic Algorithm for better optimization.

A hybrid model improves image restoration using Spiking and Convolutional Neural Networks.

A look into how temperature changes during dunking scenarios.

Explore Grassmannians and their role in geometry and curvature analysis.

This article examines behaviors in multiagent systems and methods to control them.

New methods enhance solving complex fractional partial differential equations.

New methods improve analysis of materials using hyperspectral imaging.

New methods improve efficiency in modeling contact mechanics challenges.

An overview of symplectomorphism neural networks and their importance in Hamiltonian systems.

New method enhances efficiency in solving optimal control problems with PDEs.

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.

ConvBench offers a new way to assess convolution algorithm performance effectively.

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.

Explore how termination checkers help programs complete their tasks without infinite loops.

A formal approach to ensure reliability in stateful dataflow systems like Apache Flink.

Exploring the use of case studies to enrich programming language learning.

Combining programming and traditional methods enhances understanding of electromagnetic theory.

A hands-on course to understand type systems in programming using Stella.

A study on teaching cybersecurity in computer programming courses.

A new method simplifies programming with efficient software generation and improved specifications.

A new framework improves communication reliability in multiparty message-passing protocols.

CTSLAM enhances robotic localization and mapping using flexible data integration.

A method to help robots gauge object shapes and positions.

RoboCAS offers realistic scenarios to evaluate robot task performance.

Understanding how robots can learn about their environments independently.

A new approach to safely capture unauthorized drones using Reinforcement Learning.

Robotic systems draw insights from animal navigation for better performance and efficiency.

New method improves tiny drones' ability to explore challenging environments.

New strategies combine mapping and behavior prediction for self-driving vehicles.

Examining how curvature improves understanding of community structures in various networks.

Leveraging social media to enhance vehicle cybersecurity and mitigate emerging threats.

Examining how news articles shape opinions in online spaces.

Study reveals changing patterns of toxicity on Reddit and Wikipedia over time.

Study examines influencer strategies for sponsored content across different countries.

Social media shapes how users interact with political content and influences polarization.

Exploring how online imagery shapes our self-perception and connections.

A novel benchmark to evaluate graph learning methods tackling heterophily and heterogeneity.

A new platform simplifies faculty performance tracking and data analysis.

A comprehensive study of disaster apps and user feedback for effective emergency management.

A hands-on course to understand type systems in programming using Stella.

A study revealing security flaws in popular mobile payment applications.

Streamlining data preparation and ML code to enhance accuracy and efficiency.

A new interactive system aims to streamline software debugging.

New models help developers, but backdoor attacks pose serious security risks.

A study on how ML models grasp programming language syntax.

Exploring new ways AI can collaborate with musicians through interpretation.

CADE improves audio detection against evolving spoofing threats using continual learning techniques.

A new method helps robots find fallen objects using sound.

New voice command systems enhance drone control without the need for hands.

New techniques allow for better emulation of guitar amplifiers and effects.

A new framework enhances ASR performance using limited data and resources.

A new method improves audio generation efficiency using innovative attention techniques.

Discover how AI is transforming music generation with BandControlNet.

CTSLAM enhances robotic localization and mapping using flexible data integration.

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.

A method to help robots gauge object shapes and positions.

Understanding how robots can learn about their environments independently.

Strategies for optimizing energy supply and battery use in isolated microgrids.

This article discusses methods to improve control systems using goal-oriented data compression.

New approaches in sliding mode control enhance stability and energy efficiency.

Learn how two-stage contracts address agent behavior and principal challenges.

This article discusses a method for safe spacecraft docking in complex orbits.

New techniques help manage electricity in homes, saving costs and stabilizing the grid.