Computer Science

A rich dataset paving the way for improved AI alignment with human feedback.

A new method creates synthetic data that mimics human decision-making for AI.

A new method enhances language models by training them on text-based game actions.

Reviewing AI's role in improving ovarian cancer histopathology and diagnosis.

New methods improve façade segmentation for urban planning and preservation.

A new system makes entity alignment in knowledge graphs more efficient.

A recent competition showcased progress in measuring depth using single images.

FedXGBllr enhances federated learning by improving privacy and communication efficiency.

A rich dataset paving the way for improved AI alignment with human feedback.

A new method enhances language models by training them on text-based game actions.

A study measuring emotional closeness in tweets from ten different languages.

A system that matches images to word meanings using context.

A new framework enhances machine understanding in Conversational Question Answering.

A new system makes entity alignment in knowledge graphs more efficient.

Combining OCR and LSTM for better translation outcomes.

This article presents an efficient approach for learning data embeddings in machine learning.

A look into Unique Games and the impact of hypercontractive graphs.

Examining new techniques for efficiently finding shortest paths in distributed systems.

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.

WakeNet enhances wind farm efficiency through advanced modeling techniques for turbine wakes.

A look at methods improving nonlinear optimization under constraints.

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 focuses on enhancing the layout of nearly planar graphs for better visualization.

A mathematical method for analyzing complex data shapes and structures.

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.

A look at strategies to reduce false information online.

A look at methods to increase device participation in federated learning.

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.

A method improves image correction for fisheye lenses using city grid assumptions.

New method improves deep learning models without complex tuning.

Learn how Smooth IoU Loss enhances object detection accuracy.

PARFormer improves pedestrian recognition using transformer networks for better accuracy.

A new method improves point cloud model performance and efficiency.

New methods enhance accuracy of tree height maps for tracking carbon and forest health.

Modern AI models show promise in creating realistic solar images from SDO data.

AETNet offers efficient anomaly detection in hyperspectral imaging with minimal adjustments needed.

Guide on establishing an AI ethics board for better risk management.

Hybrid DLT combines public and private features for secure data management.

This study examines how fake news detection tools aid user accuracy.

Learn how SECAdvisor aids businesses in planning effective cybersecurity investments.

The study highlights how adaptive learning impacts metacognitive skills in students.

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.

A new approach to symbolic execution improves bug detection efficiency in software.

New fuzzing tool identifies critical flaws in NTFS3 for Linux systems.

Hybrid DLT combines public and private features for secure data management.

Examining local differential privacy and its vulnerabilities in protecting user data.

A look at Byzantine Fault Tolerance for secure computing.

Smart homes are convenient, but privacy must be prioritized.

A new method to protect healthcare data through federated learning and blockchain.

A guide to recognizing and avoiding NFT rug pulls.

A look into Unique Games and the impact of hypercontractive graphs.

This article focuses on enhancing the layout of nearly planar graphs for better visualization.

Examining new techniques for efficiently finding shortest paths in distributed systems.

FedXGBllr enhances federated learning by improving privacy and communication efficiency.

A new method for ranking numbers in large data streams improves accuracy and efficiency.

A new approach ensures data privacy while maintaining model performance.

Learn how to efficiently manage cloud resources with dynamic vector bin packing.

A novel approach improves FASTQ file compression while preserving variant calling accuracy.

A new method for ranking numbers in large data streams improves accuracy and efficiency.

A new approach improving performance in column-stores through hybrid materialization techniques.

DIALITE streamlines finding and analyzing open data tables for better insights.

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.

A method to enhance search access using narratives instead of keywords.

A new model enhances citation prediction using hierarchical graphs.

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 look at random geometric graphs and their balanced spanning trees.

Exploring how walks in graphs influence various fields of study.

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.

This research examines how to improve blockchain efficiency for numerous IoT devices.

Hybrid DLT combines public and private features for secure data management.

A look at Byzantine Fault Tolerance for secure computing.

A look into how agents can efficiently explore an integer lattice.

TimelyFL enhances federated learning by optimizing device contributions and improving model accuracy.

FedXGBllr enhances federated learning by improving privacy and communication efficiency.

SerPyTor streamlines distributed computing with a lightweight framework for easier setups.

Learn how to handle cold-start issues in serverless cloud services effectively.

Exploring multi-core quantum computing and its impact on problem-solving speed.

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.

A new benchmark to test ML systems on regular language classification.

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.

DDS offers improved clarity and control in image edits using text prompts.

A new approach to simulate how textiles behave during collisions.

Explore the essentials of XR technologies and their requirements.

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.

Introducing LightRW, an FPGA accelerator boosting performance for graph algorithms.

New circuits improve speed and efficiency in computing tasks.

A new method improves efficiency in large language models while maintaining accuracy.

RAELLA enhances PIM technology for more efficient DNN inference.

ATHEENA simplifies Early-Exit networks implementation on FPGA, improving performance and efficiency.

FADES improves deep learning calculations with dynamic precision for efficient performance.

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

A new architecture improves data processing efficiency using chiplets.

Recent advances in technology aid individuals in regaining upper limb movement control.

Exploring how devices communicate within the body for better health outcomes.

An analysis of nine tools to improve website accessibility for all users.

AIGC may be key to enriching user experiences in the Metaverse.

Discover how VR brings ancient art to life.

This study enhances classification accuracy for tutoring dialogues using AUC metrics.

This study examines how fake news detection tools aid user accuracy.

A new tool provides a quick way to assess visualization skills.

A new framework enhances machine understanding in Conversational Question Answering.

A new system makes entity alignment in knowledge graphs more efficient.

This framework improves how users find charts by considering their intentions.

HiCON tackles data sparsity and over-smoothing in recommendations using advanced techniques.

This study enhances user response simulation, improving conversational search interactions.

M2GNN tackles data sparsity in recommendations using tags effectively.

A new method improves recommendations for users with limited data.

Learn how text simplification aids comprehension and information retrieval.

A new method enhances how drones connect to communication networks during flight.

GSPARC improves error control in short block lengths for modern communication systems.

Learn how polar codes enhance data transmission in modern communication systems.

Exploring the impact of LDI stabilizer codes on quantum error correction.

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.

Learn how paraconsistent logic helps manage contradictions in reasoning.

Examining weakly Markov categories and weakly affine monads in mathematical structures.

This paper studies the complexities of order-invariant logic and its two-variable fragment.

The study highlights how adaptive learning impacts metacognitive skills in students.

A new method simplifies complex calculations in parametric Markov models.

Int-splits enhance the efficiency of QBF solvers by reducing unnecessary computations.

Examining how Lambda Calculus aids neural networks in computational tasks.

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

A new method creates synthetic data that mimics human decision-making for AI.

A new method enhances language models by training them on text-based game actions.

Learn how Smooth IoU Loss enhances object detection accuracy.

Reviewing AI's role in improving ovarian cancer histopathology and diagnosis.

New methods enhance accuracy of tree height maps for tracking carbon and forest health.

Modern AI models show promise in creating realistic solar images from SDO data.

Researchers combine GNNs and subgraphs for clearer decision-making insights.

New methods improve façade segmentation for urban planning and preservation.

A look at methods improving nonlinear optimization under constraints.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

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 approach integrating Bayesian Optimization with multi-agent systems for better teamwork.

A new method protects privacy while ensuring accurate consensus among agents in networks.

This article discusses how chaotic dynamics can enhance mobility models for self-driving vehicles.

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 method to boost object recognition accuracy in videos using advanced processing techniques.

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.

Hybrid DLT combines public and private features for secure data management.

A new method enhances how drones connect to communication networks during flight.

Exploring how devices communicate within the body for better health outcomes.

Drones improve computing and communication in vehicle networks, offering innovative solutions.

Explore the essentials of XR technologies and their requirements.

The impact of C-band and CBRS interference on 5G performance.

Discover how simulations train defense agents against cyber threats.

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

Investigating how learning consumes energy and strategies for improved efficiency.

TreeC offers a simple and effective method for managing energy systems.

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.

New methods improve predictions of fluid behavior in complex systems.

A guide to using `elsarticle.cls` for efficient formatting.

A look into Poisson geometry and its significance in system simulations.

Combining new techniques and computing power for better image analysis.

Learn about reduced order modeling and sampling techniques for eigenvalue problems.

A new method enhances shallow water equation modeling for better weather predictions.

A new method enhances efficiency in sampling complex molecular systems.

Explore techniques for analyzing algebraic functions through series and accuracy assessment.

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.

Learn how to handle cold-start issues in serverless cloud services effectively.

This article discusses the importance of computational performance in concept drift detection.

A new approach improving performance in column-stores through hybrid materialization techniques.

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 study on the relationship between structural subtyping and parametric polymorphism in programming languages.

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.

Aerostack2 introduces a standardized approach for developing autonomous aerial robots.

An open-source toolbox to improve soft robotics design efficiency.

Research improves robot movement on uneven surfaces using advanced data techniques.

Combining LIDAR with gray scale images boosts accuracy and saves energy.

A new soft robot design mimics pinniped movement to enhance versatility.

A new approach to simulate how textiles behave during collisions.

A systematic approach to control robot groups for efficient navigation.

PCPNet improves future point cloud predictions for self-driving cars using past data.

A framework to better capture diverse signals in graph data.

Explore how signed networks influence group dynamics and polarization.

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 new approach to symbolic execution improves bug detection efficiency in software.

Learn how example selection impacts programming with large language models.

This study investigates how developers consider costs in cloud application development.

A method to enhance software testing through automated synthesis of metamorphic relations.

An analysis of nine tools to improve website accessibility for all users.

An overview of essential documentation practices in agile software development.

Investigating how update requests impact answer quality on Stack Overflow.

This study explores how language models improve automated bug fixes using code reviews.

A novel approach to measure speech recognition performance without manual transcription.

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.

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.