Computer Science

Research explores the effectiveness of transfer learning on LiDAR datasets for archaeology.

A new approach improves language model performance using combined knowledge from multiple tasks.

Techniques for enhancing machine learning models' adaptability to new data.

This article presents a new method for efficient irrigation using machine learning techniques.

A new approach enhances voice recognition directly on smartphones while ensuring user privacy.

Examining challenges of RTBF in the context of Large Language Models.

Discover how Copilot for Xcode helps developers code more efficiently.

A study on enhancing machine learning by combining replay methods with curriculum learning.

A new approach improves language model performance using combined knowledge from multiple tasks.

Efforts to detect and address sexism on social media platforms.

Research reveals insights into machine understanding of implied language connections.

New methods improve detection of harmful language using task awareness.

Examining challenges of RTBF in the context of Large Language Models.

A new method enhances accuracy in identifying speakers during conversations.

A look at how text generation can be guided by user preferences.

Examining online discussions on fatherhood's role in family life.

Exploring composition theorems and property testing in large datasets.

Examining how combining Boolean functions affects their complexity measures.

Exploring quantum proof systems that lack relative phase in validating statements.

A look into the Uhlmann Transformation Problem and its significance in quantum information.

A look into the challenges of decision tree learning, especially with queries.

Research highlights the minimum size for a Kochen-Specker system in quantum mechanics.

Exploring locally irregular graphs and their implications across various fields.

A look at how random methods affect communication in graphs and matrices.

Research on granular materials aids rover design for lunar exploration.

Discover how AESs assess code and support various programming needs.

A new framework combines machine learning and grain size to predict metal deformation.

A new model improves predictions for systems with multiple interacting agents.

Combining data-driven methods with classical models enhances material behavior understanding.

LendingClub can leverage data to enhance decision-making and drive profitability.

A new method improves the understanding of concrete cracking.

A new cloud service enhances medical image processing while protecting patient privacy.

This study optimizes the location of preferable and undesirable facilities.

A new framework enhances data analysis by addressing multiparameter challenges.

New methods for faster solutions to TSP and MST problems.

Examining the role of flip-width in the complexity of geometric graphs.

A new approach to create quality meshes using grid-based techniques.

Exploring how to cover geometric graphs with star-forests efficiently.

This article explores how to estimate set sizes using point samples and polynomial volume functions.

A new algorithm for grouping similar movement paths in large datasets.

A new approach to fairly reward data contributions in federated learning.

Explore strategies in two-player games with shared resources and different information.

Examining driver behavior and the impact of V2V technology on road safety.

Study reveals optimal auction strategies for repeat buyers to maximize seller profits.

Miners enhance rewards through strategic connections and reduced latency.

Examining power allocation strategies for secure communication in wireless systems.

This article explores the concept of conditional beliefs in decision-making among players.

This article explores strategy elimination in well-founded games to clarify outcomes.

A look into modern methods for enhancing low-resolution images.

Research explores the effectiveness of transfer learning on LiDAR datasets for archaeology.

HoughLaneNet utilizes the Deep Hough Transform for improved lane detection in autonomous driving.

SSL4EO-L offers 5 million images for studying Earth using Landsat satellites.

A new method to identify unseen and unknown classes in machine learning.

Enhancing PerceiverIO to better segment remote sensing images, focusing on small objects.

Exploring the role of hyperspectral imaging in improving crop health assessment.

Improving image generation using labeled and unlabeled data.

Efforts to detect and address sexism on social media platforms.

Examining challenges of RTBF in the context of Large Language Models.

This article reviews risks tied to text-to-image technologies like bias and misinformation.

A new system improves mental health tracking through personal device data.

Examining how data order impacts fairness in machine learning models.

A new method to improve fairness in federated learning models while maintaining privacy.

DBFed aims to reduce bias in AI while maintaining data privacy.

International cooperation is essential for managing AI risks and benefits.

Innovative methods for clustering while ensuring differential privacy in changing datasets.

A new system improves vector commitments for efficient data verification.

Learn how to secure timely data exchange while preventing eavesdropping.

Examining weaknesses in DSA and ECDSA for improved security insights.

A look at differential privacy and its role in protecting sensitive data.

ID cards improve security and attendance in schools and hostels.

A look at LNet-SKD's role in improving network security.

A look into the Uhlmann Transformation Problem and its significance in quantum information.

Learn how streaming algorithms process large data streams efficiently and robustly.

Innovative methods for clustering while ensuring differential privacy in changing datasets.

Exploring composition theorems and property testing in large datasets.

Exploring methods of keeping data private while analyzing trends effectively.

Analyzing memory and query efficiency in randomized convex optimization algorithms.

A look at how to optimize selections under budget constraints.

ICE algorithm improves performance in linear classification for critical fields.

A look into the challenges of decision tree learning, especially with queries.

A new system enhances Knowledge Graph use for both communities.

Exploring deep learning's role in visualizing changes over time.

IMPTC dataset captures vital data for safe automated vehicle navigation.

AI tools are transforming how we create and manage Knowledge Graphs.

cjdb offers a straightforward way to store 3D city models in PostgreSQL.

Learn how PG-Triggers can streamline data management in graph databases.

A framework combining results reuse and workload sharing boosts data analysis speed.

LearnedSort uses machine learning to enhance sorting speed and efficiency.

Researchers face challenges amidst an explosion of new scientific papers.

A system to categorize historical articles using roles and aspects.

This study enhances patent image classification using advanced deep learning techniques.

This article examines teamwork between schools and businesses in NLP.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A look into Ramsey numbers and their significance in graph theory.

Explore the strategic game of cops and robbers played on graphs.

A new approach to improve image segmentation accuracy and reduce errors.

Exploring locally irregular graphs and their implications across various fields.

A look at how random methods affect communication in graphs and matrices.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

Exploring the characteristics and significance of -dicritical digraphs in graph theory.

This research examines optimal mixing time for independent sets using Glauber dynamics.

A new method improves network slicing management with attention mechanisms.

A new approach to fairly reward data contributions in federated learning.

DBFed aims to reduce bias in AI while maintaining data privacy.

MG3MConv offers improved efficiency for convolution tasks on the SW26010 processor.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

Examining pretrained transformers for multitask learning and communication efficiency in federated settings.

Examining mutual exclusion and the impact of register types on algorithms.

This article discusses strategies to reduce communication in distributed regression problems.

A look at how in-memory computing is changing data processing.

New methods improve the accuracy of nanodevices in medical applications.

New flexible memristors can mimic neuron behavior through mechanical pressure.

Exploring the challenges and defenses in quantum adversarial machine learning.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A new MIV-transistor design enhances performance in 3D integrated circuits.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

New methods improve the handling of string constraints in programming.

New algorithm greatly improves efficiency in simulating labeled transition systems.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A new approach to evaluate the performance of probabilistic programs using VASS.

Examines safety and liveness concepts in quantitative automata for system verification.

Examining how word pairs can transform through conjugacy in rational relations.

Learn how backreferences enhance regular expressions for complex text patterns.

An overview of finite languages, DFA, and their analysis.

New technologies improve maintenance of solar panels for better energy output.

A new method enhances real-time rendering for glossy surfaces in dynamic lighting.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Developing systems for machines to create realistic, context-aware gestures.

HyperDreamBooth creates unique images from a single photo quickly and effectively.

New methods enhance personal image creation using simple prompts.

NEAT revolutionizes 3D modeling by utilizing neural networks for enhanced wireframe accuracy.

A study evaluates how well different visualizations reveal data changes.

A look at how in-memory computing is changing data processing.

Discover how SNNs and FPGAs create efficient AI solutions.

A method to secure NoC layouts against unauthorized access is proposed.

A look into alternative number systems enhancing DNN performance and efficiency.

CIM technology enhances MCMC sampling speed and energy efficiency for complex data analysis.

A simple model improves prefetcher selection, boosting performance up to 25%.

The eGPU enhances soft processing capabilities within FPGAs for diverse applications.

Approximate Computing balances quality and efficiency in today's tech landscape.

Exploring how game design impacts player experience through challenge perception.

ID cards improve security and attendance in schools and hostels.

This article investigates LLMs' impact on research practices and ethical considerations.

A new framework to improve deep learning models for time series data.

Using sensors to ensure safety for older adults living independently.

A groundbreaking approach using RF signals for hydration monitoring.

A study examines how beginners use voice commands in 3D design.

Learn how robots explain failures and improve user trust.

A look at how figures enhance scientific communication.

A new framework for improving search and recommendation systems through long-term objectives.

Exploring a new method for improving personalized recommendations using causal reasoning.

Exploring methods to enhance recommendations with knowledge graphs and machine learning.

New toolkit improves access to synthetic data for model training in IR.

Analyzing fairness in recommendation systems using counterfactual explanations.

A new model improves relation extraction from structured data using neural networks.

Study examines methods for detecting unusual patterns in social media behavior.

This study focuses on pulse shaping in Delay-Doppler communications for improved wireless performance.

Learn how BCH codes enhance error correction in data transmission and storage.

Learn how to secure timely data exchange while preventing eavesdropping.

STAR-RIS technology offers improved signal transmission for better communication performance.

System Information Decomposition offers deeper insights into variable interactions.

A look at how RIS improves cell-free MIMO systems in wireless communication.

This paper presents a method for using GANs with privacy-protected data.

A guide to estimating Gaussian mixture densities effectively.

A look at common meadows and their role in arithmetic error management.

Explore the role of categories and applicative structures in mathematics and computer science.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A look into safety analysis in distributed systems using non-blocking rendezvous.

Research on creating effective strategies for systems operating under uncertainty.

This study investigates the synthesis problem in shared and partitioned processes.

A detailed exploration of formalizing category theory in mathematics.

An exploration of how beliefs and values shape decision-making.

A fresh perspective on understanding generalization error in machine learning algorithms.

A new method improves network slicing management with attention mechanisms.

A look into how SGD efficiently minimizes functions using random sampling.

A new approach to fairly reward data contributions in federated learning.

A look into modern methods for enhancing low-resolution images.

HoughLaneNet utilizes the Deep Hough Transform for improved lane detection in autonomous driving.

A modern approach to improve spatial data analysis using machine learning methods.

Innovative methods for clustering while ensuring differential privacy in changing datasets.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

Optimizing sparse tensor operations for improved performance and efficiency.

A deep dive into testing practices for interval arithmetic libraries.

MindOpt Tuner optimizes numerical software performance by automating hyperparameter adjustments.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

A new text-based environment helps machines learn real-world tasks using scripts.

A new model improves predictions for systems with multiple interacting agents.

Miners enhance rewards through strategic connections and reduced latency.

A look into safety analysis in distributed systems using non-blocking rendezvous.

An exploration of how beliefs and values shape decision-making.

A framework for reasoning about knowledge with limited depth.

This article discusses using tax schemes to influence agent behavior in multi-agent systems.

Explores different types and implications of responsibility across various fields.

New methods enhance how models select frames for answering questions from videos.

A new method enhances video call quality while saving bandwidth.

A method for creating artistic line drawings from photographs with user control.

New dataset enhances video-text tasks for Indonesian speakers.

Research aims to combine audio and symbolic data for music similarity analysis.

New methods improve watermark removal while preserving image quality.

A new method enhances hate speech detection by combining text, images, and discussion context.

AI predictions improve service for extended reality users on advanced networks.

A new method improves network slicing management with attention mechanisms.

A study of solar-powered urban sensors highlights challenges and opportunities in city monitoring.

New methods improve the accuracy of nanodevices in medical applications.

A fresh approach to virtual network requests enhances resource management for service providers.

Combining AI and verification tools enhances router configuration accuracy and reduces manual work.

Miners enhance rewards through strategic connections and reduced latency.

New strategies enhance channel selection for faster, more reliable Wi-Fi 7 connections.

A new protocol aims to enhance data freshness in wireless communications.

Discover how SNNs and FPGAs create efficient AI solutions.

A new model improves predictions for systems with multiple interacting agents.

New methods improve accuracy and efficiency in spiking neural networks.

New methods enhance the accuracy of company valuation through AI-driven peer identification.

A look into alternative number systems enhancing DNN performance and efficiency.

A look at methods improving the training of language models effectively.

Exploring the potential of spiking neural networks in real-time processing.

Joint commitments and reputation are key to social cooperation.

New methods improve solutions for complex boundary value problems using radial basis functions.

An overview of the IMEX-RK method for solving stiff and non-stiff equations.

This article examines group sparsity in solving complex data challenges across various fields.

Improving plasma predictions through advanced computational methods for nuclear fusion.

Utilizing ANOVA for efficient function approximation in complex data analysis.

New solver improves efficiency in Stokes flow calculations critical for various fields.

Innovative methods improve separation of background and moving objects in videos.

New method using prismatic meshes offers improved accuracy in heat equation solutions.

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

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

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 new framework helps scientists communicate and design better experiments.

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.

This article reviews methods for detecting anomalies in vehicle CAN communication.

A new method enhances GPU setups for fluid dynamics simulations via machine learning.

Optimizing sparse tensor operations for improved performance and efficiency.

A look at methods improving the training of language models effectively.

A study on an improved blockchain consensus protocol allowing node repairs.

New algorithms improve decision-making by addressing advice reliability in uncertain environments.

Examining the true capabilities and limits of quantum computers today.

Analyzing data transmission issues in modern cellular networks and possible improvements.

Combining AI and verification tools enhances router configuration accuracy and reduces manual work.

A look at new subtyping methods for context-free session types in programming.

Optimizing sparse tensor operations for improved performance and efficiency.

This framework simplifies the analysis of software costs and behaviors for better development.

A new approach integrating internal parametricity into type theory, enhancing reliability.

Learn essential functional design patterns for efficient software development.

A look at improving traffic data management through Application-Specific Natural Language.

Learn how constrained type systems improve data interaction in programming languages.

A new control system helps legged robots move better in various conditions.

A new method combines planning and learning for better robotic manipulation.

Research introduces new method for slip detection in robotic gripping systems.

Robots enhance object handling using tactile sensors for improved grasping ability.

A new teleoperation system enhances remote control of robots across various settings.

A new system helps robots learn how to rearrange objects by example.

Robots communicate better to work together on complex tasks using language models.

Large language models can enhance robotic pattern recognition and decision-making.

Examines how social influence affects lending decisions in peer-to-peer platforms.

Curiosity-driven methods improve exploration strategies in artificial intelligence.

A study on the impact of echo chambers and polarization in online discussions.

A look at influence maximization through hypergraphs and the HCI-TM algorithm.

New approach improves GNN performance on complex data relationships.

New methods improve community detection in networks through neural graph embeddings.

Analyzing how expanding awards influenced user interactions and monetization.

Study examines methods for detecting unusual patterns in social media behavior.

Discover how Copilot for Xcode helps developers code more efficiently.

Discover how AESs assess code and support various programming needs.

Assessing the effectiveness of tools in finding bugs within popular ML libraries.

A new system to enhance the code review process and ensure quality.

Learn how sparse sets enhance efficiency in constraint solving and formal verification.

COMEX simplifies source code views for better machine learning applications.

A study on how Ubuntu manages software package dependencies over time.

Exploring how LLMs can aid in property-based testing for software.

Teams improve animal sound identification with few examples in DCASE challenge.

Learn about audio tagging systems and their use on Raspberry Pi.

New techniques improve accuracy and efficiency in identifying cover songs.

New method improves noise control in 3D spaces.

This study assesses various models for predicting synthesized speech quality.

Researchers automate bird sound classification, enhancing accuracy in monitoring species.

FALL-E creates high-quality sound effects from text descriptions.

SURT 2.0 improves speech recognition for multiple speakers in real-time settings.

Explore the role of Gröbner bases in solving polynomial equations.

Learn how simplifying regular expressions can enhance their clarity and efficiency.

Techniques to assess security properties of cryptographic protocols.

This article discusses enhancing machine learning models using polynomial data balancing and augmentation.

Learn about creative telescoping for calculating definite sums efficiently.

This article discusses the finite expression method for solving complex state transitions.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

A new method improves network slicing management with attention mechanisms.

This article presents a new method for efficient irrigation using machine learning techniques.

Learn about audio tagging systems and their use on Raspberry Pi.

Learn how the Koopman operator enhances analysis of complex systems.

A new approach improves fairness in reinforcement learning using human feedback.

New techniques improve tracking accuracy in challenging radar environments.

A look at Krasovskii passivity and its impact on control systems stability.

New techniques enhance quadcopter performance for complex tasks.