Computer Science

Revolutionizing how individuals manage energy consumption using AI technology.

Addressing challenges for safe machine learning applications in critical systems.

AI agents must adapt to work effectively with new partners in various environments.

A new approach to traffic prediction that incorporates human activity data.

Examining risks of re-identification in anonymized court rulings using language models.

A look into how instruction tuning enhances language model responses.

This paper discusses how robots can identify conversation partners using visual cues.

DiTTO combines machine learning with diffusion models for solving PDEs efficiently.

A study comparing language use on social media and in communities.

Revolutionizing how individuals manage energy consumption using AI technology.

A project aims to identify harmful LGBTQ+ comments in multiple languages.

A new approach to personalized mental health support through virtual characters.

Examining risks of re-identification in anonymized court rulings using language models.

Integrating metadata enhances performance in speech tasks like language identification.

A look into how instruction tuning enhances language model responses.

This study evaluates sentiment analysis techniques for Bangla using advanced language models.

Exploring the impact of random walks on algorithms and complex systems.

A fresh look at functions using discrete ordinary differential equations.

This article examines how travelers can navigate delays in public transport systems.

Introducing HCNN, a deep learning model designed for sparse tabular data.

A look at independent sets in claw-free graphs and their significance.

This guide examines methods for identifying kings in tournament settings.

This article explores the role of reaction systems in modeling biological interactions.

New algorithm improves analysis of genetic and geographic data in evolutionary studies.

This article presents a method for efficient 3D printed structures.

DiTTO combines machine learning with diffusion models for solving PDEs efficiently.

A framework combining pattern recognition and filtering enhances model reliability in complex networks.

Learn how a new approach improves error estimation in model reduction.

A model predicts motion of rigid bodies using images, addressing mass distribution challenges.

Learn how fine-tuning Llama 2 aids in financial news analysis.

UBET AMM aims to create fairer and more efficient trading in decentralized exchanges.

Learn how to gather stock data using Python for analysis.

A novel method improves realistic 3D models from limited data.

Explore methods to create clear right-angle crossing drawings with minimal bends.

A new algorithm improves the estimation of homology from noisy data points.

Learn how to estimate scalar curvature using a new intrinsic method.

This article examines min-k-planar drawings and their significance in graph representation.

A simpler approach to calculate Gromov-Hausdorff distances in metric spaces.

VoroMesh enhances 3D shape representation using Voronoi diagrams for improved reconstruction.

A look into how Fréchet distance assesses curve similarity across various fields.

This article examines supply functions, market dynamics, and efficiency in electricity markets.

A new approach to set optimal prices without consumer envy.

A new algorithm enhances efficiency in solving fair parity games.

This article explores the complexities of multi-agent learning and its impact on stability.

Examining fair allocation methods for indivisible items among individuals.

A new approach to childcare allocation addresses family needs and fairness.

Discover how agents use best-effort strategies in uncertain environments.

A look at best-effort synthesis for agents facing uncertainty.

This research explores visual attention mechanisms in the brain and their potential to aid the visually impaired.

New dataset enhances research on nerve cells in rodents using fluorescence microscopy.

Introducing a balanced approach to prune deep neural networks effectively.

A method for identifying changes in images taken from different viewpoints.

A new method improves robot accuracy in detecting and managing test tubes.

FastTCM-CR50 boosts scene text detection and spotting with limited data.

Strata-NeRF tackles multi-layered scene challenges for better virtual experiences.

A new method improves accuracy and efficiency in capturing 3D shapes of multiple people.

This article explores the challenges of abstract concept recognition in computer vision.

A look at how AI challenges our views on creativity and art.

A study links lunar patterns to cultural beliefs about rabbits.

Language models are changing how math answers are graded in education.

A study on how AI fact-checks shape political news perceptions.

Using AI to enhance understanding of complex STEM concepts through relatable analogies.

Examining how humans and algorithms can work together to improve decision-making.

A new model aims to reduce health disparities in electronic records.

SplitWiper improves unlearning in machine learning, ensuring data privacy and efficiency.

Federated Learning enhances connected vehicle safety while protecting user data.

FedSIS improves face presentation attack detection while ensuring data privacy.

A new method enhances user interface modeling for mobile apps.

This article discusses poisoning attacks on financial deep learning models and their hidden risks.

A framework using digital twins to identify compromised IoT devices.

Exploring a new method to protect privacy in causal research while maintaining accuracy.

A new system increases kidney transport safety and efficiency using blockchain and machine learning.

A new method for counting independent sets in dense, regular bipartite graphs.

An overview of graph matchings, types, and their significance in various fields.

A method for improving graph partitioning by using buffer nodes.

This article covers methods for finding small complete subgraphs in graphs.

Exploring new methods for efficient data storage and computation.

This article examines random walks and their escape rates on unordered trees.

This article discusses fairness in clustering, focusing on the Minimum Bisection problem.

Explore methods to create clear right-angle crossing drawings with minimal bends.

A new system automatically fixes string data errors without user input.

KGrEaT assesses the quality and usefulness of knowledge graphs for various tasks.

New methods enhance table search efficiency using open government data.

Explore factors affecting data science project success and how to improve outcomes.

Exploring the challenges and solutions in searchable encrypted indexing.

Learn methods for quick query evaluation using Common Graph structures.

A comprehensive look at data preparation challenges and proposed effective solutions.

Data pipelines must adapt to changing data needs and technologies.

A guide to enhancing knowledge acquisition from scientific papers using ORKG.

Hope shapes our lives, encouraging resilience and positive actions.

CRUISE-Screening simplifies the literature review process for researchers.

Introducing a multi-representation approach for better understanding scientific literature.

New methods assess how research challenges existing knowledge.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

Exploring how citation patterns reveal true research impact beyond traditional metrics.

Open data enhances collaboration and knowledge sharing in mathematical research.

Learn the significance of metric dimension in directed graphs and its applications.

An overview of graph matchings, types, and their significance in various fields.

Exploring the role of integral circulant graphs in enhancing quantum network efficiency.

This article examines random walks and their escape rates on unordered trees.

A look into the properties and significance of clique graphs in hexagonal lattices.

Learn about the systems behind lottery ticket designs and their significance.

Exploring various complexities and types of domino snake problems in combinatorial group theory.

A study on how spectral independence affects system stability and mixing time.

Federated Learning enhances connected vehicle safety while protecting user data.

Investigating CXL memory's role in enhancing high-performance computing systems.

A look into best practices for improving system reliability under load.

A study on creating trustworthy communication protocols for safety-critical systems.

This article discusses simplifying programming for smart applications using semantic knowledge.

Addressing the need for accurate sustainability in data centers.

A proposal for a standard MPI ABI to improve compatibility across implementations.

A new method enhances predictions in uncertain systems while managing computational resources.

Learn the basics of how quantum computing works.

Exploring the potential and challenges of optical neural networks using light for computation.

Optical computing uses light to offer faster processing and energy efficiency.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

A new method enhances qubit mapping by focusing on single-qubit gates.

New quantum methods aim to improve particle track reconstruction efficiency at the LHC.

A new method enhances efficiency in generating permutations for optimization problems.

A look at the Bin Packing Problem and its impact on logistics efficiency.

New methods enhance understanding of Max-Plus Linear systems in various applications.

Exploring new methods for converting non-deterministic automata to deterministic forms.

Exploring the impact of monus semantics on vector addition systems with states.

A new framework improves model learning by managing conflicts effectively.

Discover how agents use best-effort strategies in uncertain environments.

A look at best-effort synthesis for agents facing uncertainty.

This article examines the link between automata and mathematical toposes.

This article discusses the role of coordination sequences in material properties.

This article presents a method for efficient 3D printed structures.

A new method enhances realistic texture production for 3D models.

A new approach to generate realistic materials for 3D graphics.

This system helps engineers detect poor-quality hexahedral mesh areas effectively.

ARF-Plus allows flexible artistic style transfer in 3D scenes with enhanced control.

A new program simplifies realistic cloth behavior in digital art and design.

A new method improves image generation from detailed text descriptions.

Research focuses on neck muscle activity to enhance VR and AR user comfort.

Ramulator 2.0 enhances memory research with a modular, fast simulation tool.

A new framework simplifies the design of machine learning accelerators for improved performance.

A new DSL enhances hardware design and verification, improving productivity and accuracy.

A new method enhances check-pointing efficiency in devices using ambient energy.

A dataset for predicting tensor computation performance on specialized hardware.

New robotic platforms are changing the way weeds are managed in farming.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

Learn how combining radar and video boosts security systems.

A new method enhances user interface modeling for mobile apps.

A study links lunar patterns to cultural beliefs about rabbits.

A study on how user behaviors can measure robot interactions.

A study on how AI fact-checks shape political news perceptions.

A new tool aids historians in analyzing historical book trade data visually.

Using AI to enhance understanding of complex STEM concepts through relatable analogies.

Scientists improve material discovery efficiency by integrating expert knowledge with Bayesian optimization.

Voice agents impact teamwork through helpfulness and perceived human-like traits.

SAMRec addresses data sparsity in recommender systems through effective training techniques.

A new framework enhances retrieval speed using offline pseudo relevance feedback.

Examining risks of re-identification in anonymized court rulings using language models.

A study on feature extraction for Bangla text classification using deep learning models.

Current study reveals the limits of public datasets in long-term user satisfaction.

A framework to assess GNNs' effectiveness in recommendation systems.

DynED adapts ensemble models for real-time data stream challenges.

Learn about essential characteristics that shape recommendation systems.

A new method improves location accuracy using intelligent reflecting surfaces.

Exploring Beyond-Diagonal RIS for better wireless communication.

A look into methods for improving communication reliability amidst noise.

New adaptive algorithms improve vehicle communication for safety and efficiency.

This article explores RSMA and transmissive RIS for improved wireless networks.

Active IRS technology improves wireless signals and reduces interference.

A look at matrix factorization and the innovative decimation method.

Research enhances coding techniques for better data transmission and error correction.

A look at formal verification and safety architectures for automated driving.

An exploration of type theory's role in structuring mathematical and computational relationships.

This article examines conditional obligations and their significance in ethical reasoning.

A look at partially typed sessions for effective digital interactions.

A study on creating trustworthy communication protocols for safety-critical systems.

Examining methods to tackle inconsistencies in fuzzy relational systems.

A new method enhances NPN classification efficiency using Boolean influence.

A look at using causality to understand system failures better.

New dataset enhances research on nerve cells in rodents using fluorescence microscopy.

This study investigates how brain activity relates to emotions using machine learning.

Federated Learning enhances connected vehicle safety while protecting user data.

A look into the injectivity of ReLU layers and their implications in neural networks.

Addressing challenges for safe machine learning applications in critical systems.

A method to enhance understanding of deep learning in machinery health monitoring.

A look at challenges and solutions in breast cancer screening methods.

AI agents must adapt to work effectively with new partners in various environments.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

CDL aids in studying permutations and arrangements in computer and social sciences.

A study reviewing different formulations for cutting shapes efficiently.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

New method enhances predictions using Gaussian processes on unknown data structures.

New algorithm enhances saving and loading processes for complex simulations.

AI agents must adapt to work effectively with new partners in various environments.

A study on how UAVs, workers, and cars can work together in disasters.

Analyzing how different agent abilities impact interactions and strategies.

Examining how symmetry enhances multi-agent reinforcement learning strategies.

A new approach enhances pathfinding for agents in shared spaces, reducing congestion.

Decentralized approaches enhance inventory management efficiency in complex supply chains.

Tryage helps users choose the right language model easily and effectively.

This article examines supply functions, market dynamics, and efficiency in electricity markets.

A new framework improves item suggestions using different data types.

Discover EVE, a model improving understanding of images and text.

Research focuses on improving models that connect visuals and text through language understanding.

New model enhances gesture generation for more human-like interactions.

A new method improves audio matching using images, enhancing realism in audio environments.

Examining hidden data concerns in machine learning models and their security implications.

A dataset connects emotions to MIDI songs using song lyrics analysis.

A new approach enhances accuracy in answering questions about text in images.

Federated Learning enhances connected vehicle safety while protecting user data.

A smartphone system allows divers to locate each other underwater without extra tools.

Early exiting improves speed and efficiency in signal classification.

An innovative approach to compress network traffic data efficiently.

SCC5G offers robust security features for critical communication over 5G networks.

This study reviews how IP addresses align with their registered locations.

Learn how entanglement enhances communication efficiency and security.

Multi-UAV networks improve video streaming quality and reliability in various environments.

SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.

Research on reservoir computing focuses on optimizing network designs for improved machine learning.

ReLiCA algorithm simplifies model creation using Cellular Automata rules and effective settings.

Examining how brain learning principles can enhance machine learning algorithms.

Exploring efficient models for similarity matching in machine learning.

Exploring the potential and challenges of optical neural networks using light for computation.

A groundbreaking approach to training neural networks without gradients.

Discover EDOLAB, a platform for tackling changing optimization problems.

Exploring BelNet's role in enhancing operator learning for complex problems.

This article presents a method for efficient 3D printed structures.

A look into solving complex fluid dynamics with the Weak Galerkin method.

DiTTO combines machine learning with diffusion models for solving PDEs efficiently.

Research on managing phase transitions using advanced numerical methods.

An overview of two methods for solving linear equations.

A new method improves fluid flow simulations using neural networks and finite element methods.

A new model helps predict and control disease spread in local areas.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

A look at new systems improving insulin delivery and blood sugar monitoring.

A look into the advancements and challenges in modern storage systems.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

A look into best practices for improving system reliability under load.

A framework to accurately measure energy use in deep learning systems.

A study on the performance of three genetic algorithms in software refactoring.

A new method enhances agents' decision-making in changing environments.

A framework to identify sparse matrix structures using limited data.

This study examines how time limits affect software model optimization quality.

A new approach to modular reduction boosts performance in cryptography.

This article reviews benchmarks for assessing languages that integrate logic rules.

A new approach enhances data-based coordination languages for better performance.

Tau Prolog allows running Prolog code seamlessly in web environments.

Learn how refactoring deep learning code improves performance through automation.

A new DSL enhances hardware design and verification, improving productivity and accuracy.

A guide on Tydi's specifications for improved data transfer in design.

A study on the similarities and differences among programming languages in language models.

A look at tools aiding Rust developers in version management.

AskIt simplifies LLM integration in software projects, improving efficiency and reducing code length.

A look at formal verification and safety architectures for automated driving.

Research improves robots' ability to detect objects through touch.

This paper discusses how robots can identify conversation partners using visual cues.

A study on how user behaviors can measure robot interactions.

A simple approach to ensure drones land securely in crowded environments.

A new approach enhances pathfinding for agents in shared spaces, reducing congestion.

Drones are reshaping construction with innovative 3D printing techniques.

New models improve robotic grasping efficiency with fewer resources.

A framework to assess GNNs' effectiveness in recommendation systems.

Examining how suspended Twitter accounts influenced political discussions and elections.

New methods identify linked accounts to reduce abusive content on social media.

Research highlights infrastructure challenges in sub-Saharan Africa's informal settlements.

Examining the rise of negativity in discussions around the MeToo movement.

Examining methods to identify political party affiliations using Twitter activities.

A dataset for predicting tensor computation performance on specialized hardware.

This study examines gender differences in LinkedIn connectivity and job outcomes.

QPLEX connects classical and quantum resources for efficient optimization solutions.

Addressing challenges for safe machine learning applications in critical systems.

A new method enhances user interface modeling for mobile apps.

Automating bug report prioritization enhances smart contract security and developer efficiency.

This study compares PEFT and ICL in improving code generation using LLMs.

A novel framework improves the effectiveness of adversarial attacks on code models.

A new framework improves vulnerability detection in embedded network communication.

New dataset and training method improve software name recognition.

Integrating metadata enhances performance in speech tasks like language identification.

This article discusses the Transducer model's real-time capabilities and recent improvements.

This study explores bias in audio models used for instrument recognition.

This study explores a deep learning approach to accurately classify music genres.

New method improves sound source location tracking in shallow aquatic environments.

A new model connects phonetics and acoustics for better speech technology.

This study highlights the role of self-supervised learning in detecting emotions from audio data.

A new interface simplifies music creation for beginners using text-to-audio technology.

This article examines conditional obligations and their significance in ethical reasoning.

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

JABBA enhances time series data analysis through consistent symbols and parallel processing.

Research highlights the role of time-delay feedback in quantum self-oscillators.