Computer Science

New methods create CT scans from MRI images to ease patient stress.

A study leverages sensor data to enhance ALS symptom prediction.

Exploring efficient methods for patent analysis using automation.

A new method uses deep learning to enhance mammogram positioning evaluation.

Introducing Coupled Covariances Eigenproblem (CCE) for improved learning from asymmetric data.

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

New approach helps robots learn tasks by generating images of actions.

Introducing Toto, a model designed to improve time series forecasting for observability metrics.

Evaluating the true reasoning skills of large language models remains challenging.

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.

New approach helps robots learn tasks by generating images of actions.

A voice-driven model transforming audio interaction with technology.

A guide to creating and managing enterprise chatbots with a focus on key challenges.

A study reveals key connections in how large language models function.

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.

A look into key probability distributions in computer science.

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.

New model speeds up simulations of metal behavior in corrosive conditions.

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.

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.

Examining how groups work together in structured environments.

New methods create CT scans from MRI images to ease patient stress.

A new dataset supporting fish species and trait research with 60,000 images.

Interactive segmentation enhances accuracy in placenta imaging for better pregnancy outcomes.

A new method uses deep learning to enhance mammogram positioning evaluation.

A new method that enhances object detection using noisy crowdsourced labels.

AdaptiGraph enables robots to learn and adapt to different materials in real-time.

New approach helps robots learn tasks by generating images of actions.

A new method improves robot adaptability through innovative training techniques.

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 critical look at diversity in datasets and how to improve it.

Research reveals automated methods to track web censorship effectively.

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

Learn how to protect sensitive commitments from eavesdroppers.

A study revealing security flaws in popular mobile payment applications.

Exploring user-level differential privacy in large language model training.

Exploring the benefits of Federated Learning for anomaly detection in IoT networks.

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

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

A look at federated learning’s privacy and integrity challenges and solutions.

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.

Optimizing job scheduling can enhance customer satisfaction and business performance.

Explore the significance of graph algorithms in analyzing complex data relationships.

New methods improve approximate solutions for the Traveling Salesperson Problem.

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.

This paper discusses how technology can enhance urban transport systems.

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.

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.

Learn methods to maximize flow in networks and minimize transportation costs.

A new method enhances integer linear programming with cut removal and machine learning.

Recent developments improve speed and efficiency in quantum circuit simulations.

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

Exploring user-level differential privacy in large language model training.

Exploring the benefits of Federated Learning for anomaly detection in IoT networks.

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

Research highlights model robustness and defenses in decentralized federated learning.

A study on improving task assignment and job scheduling for better efficiency.

This article discusses the significance of hashing algorithms in blockchain technology.

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.

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

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.

A look into obliging games and how they function.

Learn how reactive graphs adapt in response to user interactions.

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 new approach enhances CSG modeling using fuzzy logic for smoother transitions.

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.

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.

This study examines how weather affects emotions expressed on Twitter in the UK.

A new method helps robots learn by observing human interactions.

Wearable device records internal sounds and health metrics for better monitoring.

A platform designed to support EFL students in improving presentation skills.

A new system to improve group thinking and decision-making in large settings.

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.

Examining how deep learning impacts reproducibility in biodiversity studies.

Automated methods for group membership annotation can enhance fairness in information retrieval systems.

A new method enhances image retrieval by integrating human corrections into AI systems.

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

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.

Discover how new proof systems improve SAT solving efficiency and capability.

Learn how contextual formulas adapt to changing situations in logical reasoning.

Learn how bisimulation can ease complex system verification.

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

This paper unifies approaches to nondeterministic iteration in programming with category theory.

E-graphs streamline program optimization by managing multiple equivalent representations.

New methods improve counting of minimal models in reasoning tasks.

Exploring methods for creating reliable controllers in various environments.

New methods aim to improve ECG data privacy and quality.

A competition focuses on using ML for airfoil design simulations.

An overview of advancements in quantum computing and circuit design.

A model predicts how fluids move around different shapes, improving flow analysis.

Evaluating the true reasoning skills of large language models remains challenging.

Examining the role of risk in machine learning for asset pricing.

A study leverages sensor data to enhance ALS symptom prediction.

Introducing Coupled Covariances Eigenproblem (CCE) for improved learning from asymmetric data.

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.

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.

Exploring how we carry lessons from caregivers into our behaviors.

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 look at methods to enhance image quality affected by haze.

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.

GeNet automates network design and management, making tasks easier for engineers.

Research reveals automated methods to track web censorship effectively.

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 new method uses biosignals to classify chronic lower back pain effectively.

GOMEA improves problem-solving speed using advanced evolutionary techniques.

Combining topology optimization and machine learning for efficient photonic component design.

Research on moment methods enhances understanding of particle behavior in gases.

This article discusses the importance of learning operators in Banach spaces for scientific computing.

New methods enhance stability and accuracy in complex matrix systems.

Examining reduced-order modeling and neural networks in wave propagation calculations.

Discover methods to solve complex algebraic equations efficiently using the ADI approach.

A look into shape optimization techniques and their real-world applications.

Exploring the discontinuous Galerkin spectral element method for nonlinear conservation laws.

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.

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.

A powerful tool for in-depth smart contract transaction analysis emerges.

This article outlines a new method to improve Verilog code generation using instruction tuning.

A method for ensuring software correctness through structured analysis.

Haskelite aids newcomers in grasping Haskell through clear evaluation traces.

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

AdaptiGraph enables robots to learn and adapt to different materials in real-time.

A new tactile skin model enhances robot manipulation skills.

New approach helps robots learn tasks by generating images of actions.

A new method improves robot adaptability through innovative training techniques.

Robots improve navigation by understanding both speech and images.

Learn how active inference enhances self-driving car capabilities.

A new method helps robots learn by observing human interactions.

OIDD enhances soft robot design for better adaptability and performance.

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.

Examining how economic factors influence film festival representation worldwide.

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 roles and ethical responsibilities for software engineers.

Learn how to replicate software functions through behavior modeling.

A tool to help developers assess and improve observability in cloud-native applications.

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.

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

A look at the progress in speech recognition technologies and methods.

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

A new method enhances sound creation for realistic 3D human models.

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

New method improves classification accuracy and adaptability through error detection.

Discovering connections between complex reflection groups and linear differential equations.

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

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

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

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

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

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

A systematic approach for safety analysis in complex systems under uncertainty.

A new method for heat pump control reduces costs and enhances energy efficiency.

This study investigates stability in forced Lur'e systems within engineering applications.

A new method enhances robot manipulation under uncertain conditions.

A clear look at how neural networks work and their significance in data representation.

A new model enhances the analysis of electronic loads in power grids.

This paper discusses methods for robots to make better decisions amid uncertain resource costs.