Computer Science

AI security requires urgent attention to protect systems and data.

This study examines how moderation affects user experience in conversational AI systems.

Examining how deep learning systems identify objects using limited views.

Promptify simplifies the process of writing prompts for text-to-image models.

Examining how Lambda Calculus aids neural networks in computational tasks.

A new approach to improve accuracy in radiology report generation.

A new model enhances traffic data imputation by considering spatial and temporal factors.

Survey reveals how employees view generative AI tools in IT.

Discover the benefits of using ChatGPT in programming tasks.

A look at deep learning code and its impact on AI technology.

Examining how Lambda Calculus aids neural networks in computational tasks.

A new approach to improve accuracy in radiology report generation.

This study assesses how well ChatGPT and GPT-4 handle radiology language tasks.

A new AI method simplifies cancer health records for better patient care.

Research aims to enhance textbooks by integrating relevant images from the internet.

A new approach combines domain adaptation and data augmentation for better translation quality estimation.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

New algorithm offers efficient solutions for 2-MAXSAT challenges in optimization.

A new method enhances secure communication using quantum principles.

An exploration of the Metropolis-Adjusted Langevin Algorithm's performance in sampling.

A comparison of HMC and MALA for efficient sampling from complex distributions.

An overview of quantum circuit complexity and its real-world applications.

An overview of constant-rate multi-mode systems and their applications.

Exploring the complexities of power series and related mathematical problems.

Exploring temperature control and modeling in Friction-Stir Processing.

A new method enhances imaging of delicate nanomaterials while reducing damage.

Study reveals how QRS patterns indicate heart attack severity.

A look at improved methods for designing chemical compounds with specific properties.

Study shows machine learning improves predictions for drop coalescence in microfluidics.

A novel method improves resource allocation in simulations of changing physical systems.

This article discusses a new formulation for accurately predicting pressurized crack behavior in materials.

Explore asset allocation methods to mitigate risks during persistent inflation.

Combining clustering with topological analysis reveals hidden structures in high-dimensional data.

Learn how Voronoi diagrams optimize floodlight placement for effective illumination.

This article discusses the complexities of imprecise polylines and their applications.

A look at the nearest neighbor problem for polygonal curves and Fréchet distance.

Examining how to prevent collisions in modular robotic systems.

An analysis of crease-free folding in convex polygons and its implications.

Introducing hyperbolic quadtrees for efficient data organization in unique geometries.

A new model improves route optimization for the Traveling Salesman Problem using deep learning techniques.

Studying fair distribution of food donations among charities based on entitlements.

Exploring two-player games and their implications in computer science.

Analyzing battlefield transfers in competitive situations for mutual benefits.

A new method enhances strategy finding in complex decision-making games.

A look at game strategies balancing long-term goals and short-term results.

A look at strategies to control epidemic spread in interconnected systems.

Joker games combine competition and cooperation, allowing players to influence each other's actions.

This paper presents a new method for fair clustering based on group size.

MERU enhances the link between images and text for better understanding.

A study examining the trustworthiness of visual explanations in neural networks.

Examining how deep learning systems identify objects using limited views.

A new method improves data augmentation for better model training and performance.

A new model improves cancer subtype classification through data and medical knowledge.

A novel layer for better image processing flexibility and user control.

This article explores innovative methods for robotic object rearrangement in cluttered spaces.

Generative models enhance medical classifiers' fairness and accuracy across diverse patient groups.

Analyzing e-scooter usage patterns to improve city transportation planning.

Research unveils new methods to detect social anxiety through language.

Examining how data errors affect machine learning predictions and outcomes.

Examining how socio-economic status affects mobile internet access fairness.

Examining methods to ensure fairness in machine learning decision-making processes.

This study examines how Elon Musk's Twitter acquisition impacted entrepreneurs' tweeting behaviors.

This article discusses the role of machine learning in engineering courses.

Exploring how human-AI collaboration shapes the future of programming.

New algorithm enhances privacy while optimizing resource allocation in federated optimization.

Examining Differentially Private Stochastic Convex Optimization across diverse settings.

AI security requires urgent attention to protect systems and data.

An analysis of ChatGPT's accuracy across various fields and its implications.

A new model improves privacy and accuracy in graph neural networks.

This article discusses secure multiparty quantum computation, focusing on GCD and PSI.

This article explores the security of code produced by ChatGPT and its implications.

A close look at Booking.com's use of customer data and privacy policies.

This article discusses advanced algorithms to solve unsplittable flow problems efficiently.

This article details methods to manage dynamic graphs through effective algorithms.

Learn about Sliding Block Hashing for efficient data management in hash tables.

A new approach to estimate eigenvalues of large matrices efficiently.

New techniques improve subset selection for low rank approximation in large datasets.

Innovative methods improve understanding and interpretation of data groupings.

Introducing a parallel method for creating efficient spanners in graph theory.

A new parallel DFS algorithm improves efficiency for graph exploration.

Semantic overlap improves data search by considering meaning rather than exact matches.

A new method enhances SQL query accuracy from natural language inputs.

A detailed analysis of language models in data integration tasks.

Exploring how large language models can improve data querying.

This study focuses on automating database tuning using past performance data.

New methods improve matching efficiency in dynamic graphs for real-time applications.

ARM-AE uses auto-encoders to quickly find high-quality association rules.

A new approach to improve data quality for machine learning models.

A platform for open sharing and peer feedback in scientific research.

This article discusses the importance of synthesizing research in HCI.

Structured resources to clarify scientific terms for readers and researchers.

EffOCR offers improved accuracy and flexibility in digitizing historical documents.

An open-source tool offering various string manipulation capabilities for diverse fields.

A study examining how reference lists in scholarly articles have changed over time.

A new search engine improves access to historical changes in web content.

Examining how research collaborations shape writing styles over time.

This article examines random colouring methods for sparse graphs and their implications.

Discover the unique properties and applications of automatic sequences in mathematics and computer science.

A look at methods to multiply polynomials quickly, focusing on FFT.

A look into automata networks and how update modes influence interactions.

Learn about hypergraphs, their supports, and practical applications in various fields.

An overview of integer partitions and their sampling methods using the Boltzmann distribution.

A new algorithm reduces complexity in automata networks, aiding biological insights.

Explore winning strategies in games with entailing moves.

New algorithm enhances privacy while optimizing resource allocation in federated optimization.

A new architecture improves data processing efficiency using chiplets.

A novel approach to enhance performance in atomic registers for distributed systems.

A new framework for efficient resource sharing in cloud environments.

DNN partitioning improves processing in smart devices and enhances overall performance.

A new framework enhances resource management for connected vehicles.

A new system aims to cut carbon emissions in machine learning applications.

A new parallel DFS algorithm improves efficiency for graph exploration.

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

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

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

New methods leverage quantum systems for faster string matching.

New Ising machines improve problem-solving speed and efficiency for complex logical challenges.

Exploring how quantum computing improves robotic motion planning efficiency.

Combining traditional tech with new methods for efficient probabilistic computing.

SuperNeuro revolutionizes simulations for neuromorphic computing, enhancing AI and robotics research.

Discover the unique properties and applications of automatic sequences in mathematics and computer science.

New logic framework enhances understanding of past events and automata relationships.

A look into the properties and performance of probabilistic pushdown automata.

A look into automata networks and how update modes influence interactions.

A look into the complexities of rational relations in computer science.

An overview of constant-rate multi-mode systems and their applications.

Exploring the unique properties of cellular automata on a heptagonal grid.

Algebraic series bridge mathematics and computer science, revealing structural relationships.

A new model combines deep learning and editing tools for artistic terrain creation.

Transforming face lighting in images without complex setups or extensive training.

Nerfbusters enhances casual NeRF captures by reducing artifacts and improving geometry.

A look into how neurosymbolic models combine programming and machine learning in graphics.

This method provides consistent normal orientations for point clouds using winding numbers.

Pointersect simplifies point cloud rendering, enabling new applications across various fields.

Learn how new methods create realistic 3D videos from simple recordings.

Generate diverse 3D scenes from a single image without needing extensive training data.

Egalitarian ORAM enhances lifespan of non-volatile memories amidst write challenges.

A new architecture improves data processing efficiency using chiplets.

NPS enhances microprocessor performance by improving program sampling accuracy and efficiency.

An overview of RISCV multiplication methods and their hardware needs.

This article discusses methods for saving energy in AI applications on small devices.

SALSA improves DNN task scheduling for better efficiency and energy savings.

This article discusses methods to enhance the security of small embedded devices.

ReRAM shows promise in improving neural network performance and efficiency.

This study examines how moderation affects user experience in conversational AI systems.

STARie uses AI to help children improve storytelling skills through interactive conversations.

Promptify simplifies the process of writing prompts for text-to-image models.

Survey reveals how employees view generative AI tools in IT.

Using video data to predict classroom engagement levels.

This article discusses privacy notices and security warnings and ways to improve their effectiveness.

A new approach to tackle misinformation through user reflection and engagement.

Research unveils new methods to detect social anxiety through language.

A look into training methods for retrieval models using weak supervision.

A close look at Booking.com's use of customer data and privacy policies.

A new method improves speed and accuracy in extreme multi-label classification tasks.

EulerNet enhances CTR prediction by better handling feature interactions.

A multi-faceted approach to assessing recommender systems for better user satisfaction.

A new method improves accuracy in retrieving relevant text passages.

This research compares voice and text methods for relevance assessments in information retrieval.

A new method for evaluating document relevance using adjusted depth pooling.

This article explores how information impacts the survival of resource-gathering agents.

A novel approach leverages ordinary differential equations for effective sparse signal recovery.

This study presents a method to improve LDPC code decoding efficiently using gradient flow.

A look into mixed regression models for estimating complex data relationships.

A look into how noise impacts consensus among agents and methods to optimize communication.

Techniques to safeguard sensitive data while maintaining system performance.

New techniques are improving error correction in communication systems.

Explore the properties and applications of Sidon spaces in mathematics.

Examining how Lambda Calculus aids neural networks in computational tasks.

Discover LTL's role in analyzing system behavior over time.

New logic framework enhances understanding of past events and automata relationships.

A look into the properties and performance of probabilistic pushdown automata.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

This study introduces innovative methods to analyze counting problems effectively.

A guide to diagnosing issues in systems with learning-enabled components.

A study on the complexity of defining relationships in algebraic structures.

MERU enhances the link between images and text for better understanding.

Examining Differentially Private Stochastic Convex Optimization across diverse settings.

This article discusses a new approach to manage power systems effectively.

A study examining the trustworthiness of visual explanations in neural networks.

A look at how prosumers can enhance trading in day-ahead energy markets.

This article discusses per-example gradient regularization in deep learning for better model performance.

Reviewing AI methods for predicting protein behavior and their biological importance.

New methods tackle data distribution changes for improved model performance.

A new framework enhances geophysical studies through machine learning integration.

Researchers enhance simulation performance using GPUs for complex materials.

clotFoam transforms blood clot formation research through powerful simulations.

This article discusses how data assimilation improves scientific modeling in glaciology and groundwater studies.

Introducing a method for effective time series classification using the LLT technique.

Learn how NUBO helps researchers optimize costly evaluations using Bayesian techniques.

A new method improves solutions for complex differential equations using Haar wavelets and radii polynomials.

Blendstrings provide smooth, accurate function representations in various fields.

New algorithm enhances privacy while optimizing resource allocation in federated optimization.

A study on optimizing HOT lanes to reduce traffic congestion and improve efficiency.

Learn how CMARL can improve inventory management for retailers.

A new method helps agents make safer decisions in uncertain environments.

This article introduces a method for better exploration in multi-agent systems.

A new approach improves communication and path planning for multi-robot systems in real time.

This study examines how groups of animals decide their movements based on future options.

Exploring how stubbornness affects decisions in teamwork among artificial agents.

Promptify simplifies the process of writing prompts for text-to-image models.

A decentralized app for safely managing and trading NFTs.

Using self-supervised learning to forecast box office performance.

A new approach enhances video quality predictions post-transcoding.

This study examines how multimedia aids understanding for novices and experts.

A new approach combines neural networks with steganography for better data hiding.

A new method uses text to improve image colorization accuracy.

Learn how to generate engaging titles and select covers for your videos.

Discover how genetic algorithms can enhance load balancing in complex networks.

A new framework for efficient resource sharing in cloud environments.

Exploring how edge computing transforms AI applications in the Metaverse.

A new framework enhances resource management for connected vehicles.

NetGPT tackles the complexities of network traffic for better analysis and generation.

FTMRate uses distance measurements to enhance Wi-Fi data rate choices.

NTNs and C-DSS promise improved connectivity for users everywhere.

New methods aim to improve internet access using Multi-Connectivity and satellite networks.

A new neuromorphic controller improves drone stability and efficiency through innovative design.

DECN improves evolutionary algorithms for solving complex optimization tasks.

Researchers explore using water waves for improved computing efficiency.

A look at how network structure influences neural network performance.

New methods enhance the coding process for developers using program synthesis.

AOT-SNNs improve uncertainty estimation in spiking neural networks for better predictions.

Examining methods to ensure fairness in machine learning decision-making processes.

ReRAM shows promise in improving neural network performance and efficiency.

This research examines the discrete Green's function's behavior near singularities in three dimensions.

Examining fluid behavior influenced by heat through the Oberbeck-Boussinesq model.

A method to merge different data types for improved accuracy in simulations.

New methods enhance Hamiltonian Monte Carlo for unbiased sampling in complex systems.

A new method using machine learning improves random source reconstruction accuracy.

New findings on heart models can improve pacemakers and defibrillators.

Examining sampling complexities in Bayesian hierarchical models promoting sparsity.

New methods improve efficiency and accuracy in stability analysis of nonlinear systems.

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

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

Discover how ZNS devices simplify SSD data management and improve efficiency.

Transforming building design to save energy and promote sustainability.

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

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

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

A new framework helps scientists communicate and design better experiments.

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

Data preprocessing is key to efficient deep neural network training.

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

New techniques improve DNN efficiency and robustness for small devices.

A new technique improves performance tuning for parallel computing applications.

A look at SecDivCon, a method to protect embedded devices from common vulnerabilities.

A new benchmark suite evaluates PyTorch models for better performance insights.

A new GPU-based GEMM design offers speed and real-time error correction.

Learn how DSA improves data management in modern processors.

NPS enhances microprocessor performance by improving program sampling accuracy and efficiency.

Learn about a programming language for managing qubits effectively.

A look at algebraic and scoped effects for cleaner code.

A new method for program synthesis improves efficiency using dual reasoning approaches.

Introducing an efficient approach to simulating complex quantum circuits with non-Clifford gates.

A new approach to efficiently manage resources in software development.

Learn about logical atomicity and safe data structures in concurrent systems.

A deeper look into the role of samplers in probabilistic programming.

A novel approach to guiding robots in dense crops without GPS.

This article explores innovative methods for robotic object rearrangement in cluttered spaces.

A new approach combines learning techniques for safer robot interactions.

Discover the latest techniques in robot motion planning for safety and efficiency.

A fresh technique allows robots to estimate position with multiple distance sensors.

A new method enhances robotic manipulation using hyper-networks for pose control.

New methods improve robot's ability to grasp objects in complex environments.

Neuromorphic computing improves quadrotor flight control through energy-efficient spiking neural networks.

A method to streamline automotive technology development through collaboration.

Analyzing e-scooter usage patterns to improve city transportation planning.

Research analyzes social media to reveal public views on opioids and substance misuse.

Combining clustering with topological analysis reveals hidden structures in high-dimensional data.

This study examines how AI can help combat misinformation on social media.

This study examines how Elon Musk's Twitter acquisition impacted entrepreneurs' tweeting behaviors.

A platform for open sharing and peer feedback in scientific research.

Study reveals how social media can help support those affected by gang violence.

Examining how marginalized voices influence software ethics and design.

Exploring how software engineering shapes the development of smart cities.

A method to streamline automotive technology development through collaboration.

Examining the challenges and benefits of formal verification methods in automotive engineering.

Fuzzing tools assessed for code coverage and bug detection.

A novel method focuses on environment interactions to find elusive software bugs.

DNN partitioning improves processing in smart devices and enhances overall performance.

A deep dive into the use of ad hoc parsers in Python projects.

Examining how voice anonymization affects COVID-19 diagnostic systems and user privacy.

Experience drumming with just two sticks and a smartphone, no heavy equipment needed.

AI tools simplify mixing, offering new options for amateurs and professionals alike.

Bubbles may hold the key to innovative music generation.

A look at new methods improving audio captioning for better accessibility.

Analyzing dataset use in voice biometrics reveals significant bias and privacy concerns.

A new method enhances speaker verification systems for overlapping voices.

Innovative methods for effective speech segment representation in processing tasks.

This article examines how ML and XAI improve symbolic computation methods.

New simulation methods enhance our understanding of spacecraft and debris interactions.

Exploring the complexities of power series and related mathematical problems.

Score enhances Scone's knowledge management through automated rules for decision-making.

A look into the complexities of testing polynomial identities.