Computer Science

Researchers develop speech-based methods for more accurate Parkinson's disease assessment.

A novel method enhances cancer diagnosis by integrating weak causality signals in medical imaging.

Learn how machine learning models perform on unseen data.

LMDX enhances information extraction from documents with minimal training data.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

ModelGiF offers a method to quantify relationships between deep learning models.

A new dataset improves machine learning's grasp of ocean and climate science.

This study presents a method to classify videos through rich textual descriptions.

DARWIN models enhance research in natural sciences through AI-driven automation.

This method improves large language models for long context processing.

LMDX enhances information extraction from documents with minimal training data.

New framework improves long answer generation from tables.

Combining retrieval models with language models boosts performance in text classification tasks.

A new dataset improves machine learning's grasp of ocean and climate science.

New methods improve style transfer for text while maintaining meaning.

This study presents a method to classify videos through rich textual descriptions.

A look into how quantum circuits compute and their limitations.

This article examines the difficulties in reversing generative models in AI.

Research develops methods to verify data integrity through agreement tests.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Explore the basics and advantages of quantum and probabilistic computers.

Explore interval and multiple interval graphs and their significance in various fields.

Recent findings reveal larger circuit requirements for certain computational problems.

New techniques simplify proving communication lower bounds in set-disjointness problems.

Introducing Importance-aware Co-Teaching for enhanced design optimization.

A novel method for improving design optimization using multiple models.

Analyzing causal relationships is key for accurate energy consumption predictions in building design.

Quantum computing enhances engineering efficiency, especially in analyzing structures and materials.

A marketplace approach to streamline electronic contracts for cloud services.

This article discusses modern methods for minimizing energy in engineering systems.

New methods improve decision tree predictions amid changing data conditions.

Learn how AI and ML can transform supply chain risk assessment.

This study explores the relationship between graphs, crossings, and signed permutations.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look into improved clustering methods using multi-swap local search.

This article reviews effective search strategies for different terrains and their implications for autonomous systems.

A method to separate two groups of points with limited lines.

A method to compare smooth curves in various applications.

A study on upward point-set embeddings in directed graphs with special focus on bends.

Examining how drones and trucks reshape delivery methods for efficiency.

A new model for stablecoins aims to enhance reliability and encourage investment.

Using game theory, robots coordinate movements in narrow areas to avoid collisions.

This article examines how players coordinate and trust in communication games.

A new approach to market makers improves trader privacy in decentralized finance.

Discover how to allocate costs fairly in Low-Power Wide-Area Networks.

This paper explores resource allocation strategies in competitive lottery games.

Exploring how biases shape choices in multi-dimensional scenarios.

Exploring the potential of quantum mechanics in modern voting.

A novel method enhances cancer diagnosis by integrating weak causality signals in medical imaging.

D-Train offers a straightforward approach to multi-domain learning challenges.

LesionMix improves data augmentation for better detection of lesions in medical images.

A new method improves view synthesis by separating reshading and pixel relocation.

New method enhances robot navigation in complex environments by addressing uncertainty.

This approach improves image restoration by addressing degradation and quality simultaneously.

A new method improves realistic 3D portraits under changing lighting.

STARNet enhances reliability of robot sensors for safer autonomy.

This study examines user interactions and opinions on vaccination in online forums.

A new application matches students with tutors based on personality traits.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

Exploring the need for a more equitable AI alignment reflecting diverse values.

A study reveals widespread cookie paywalls and concerns about user consent.

This article investigates gender bias in academic promotions within software engineering and informatics in Italy.

A new method to achieve fairness across multiple sensitive attributes in algorithms.

This study merges LLMs and SLMs to improve detection of fake news.

Learn how honeywords could improve password security and protect user accounts.

A new model for stablecoins aims to enhance reliability and encourage investment.

Acoustic attacks threaten data security through sound capturing from keyboards.

Improving machine learning model security against adversarial attacks through certified robustness.

Introducing a protocol for privacy-preserving link prediction in distributed graphs.

Research reveals vulnerabilities in machine learning models through targeted uncertainty manipulation.

Exploring how attackers exploit large language models for knowledge extraction.

A new method protects sensitive data during machine learning training.

A look into methods for aligning graphs and their importance in various fields.

This article explores secluded subgraphs and their significance in graph theory.

A method to evaluate frequency distributions in dynamic data streams.

Explore how red-black trees efficiently handle ordered sequences for parallel algorithms.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Research highlights new approaches to scheduling tasks with precedence constraints.

This study examines how to efficiently approximate query evaluations in probabilistic graphs.

Discover how attention shapes language models and their applications in technology.

A study on user understanding of negation in data patterns.

Examining schema change issues in live programming and local-first software.

This system improves how users move computational notebooks between devices.

Addressing data inconsistencies and query complexities in database systems.

Learn how new techniques enhance the verification and discovery of denial constraints.

This study examines how to efficiently approximate query evaluations in probabilistic graphs.

Learn how to verify if different workflow versions produce the same results.

A look at consistent query answering in handling database inconsistencies.

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

Open data enhances collaboration and knowledge sharing in mathematical research.

A new metric, Academic Midas Touch, measures research impact through citation analysis.

Novelty and diversity in research paper recommendations can foster interdisciplinary collaboration.

New approaches enhance the accessibility of cultural heritage resources for all users.

Introducing a new index for fair measurement of research journal impact.

Techniques to streamline searching satellite images using clustering and dimensionality reduction.

Examining the impact and detection of fake academic papers.

Hyperbolic neural networks enhance tree structure representation in data science.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Explore the game dynamics of Cops and Robbers on graph structures.

A fresh approach for using neural networks with complex data structures.

Methods to balance task distribution among resources for optimal performance.

Exploring the significance of optimal leaf roots in evolutionary biology.

A method for efficiently identifying maximal clique-partitions in graphs.

This article simplifies a classic algorithm for tree isomorphism using prime numbers.

A method for creating reliable auditable registers in distributed systems.

DFedADMM and DFedADMM-SAM improve model training while ensuring data privacy.

Using GPUs to speed up reservoir simulations can improve efficiency and reduce computation times.

This study explores new ways to assess blockchain applications using machine learning.

New method enhances Transformer models by reducing computation and memory usage.

This study examines how deep learning models change during Neural Architecture Search.

Discover the importance of communication timing and latency in cloud services.

Proposing a dynamic method for efficient leader selection in blockchain networks.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

Underlayer networks improve communication and efficiency in modern manufacturing.

This study connects presence and reaction time in Mixed Reality.

This study explores new ways to assess blockchain applications using machine learning.

New technologies improve monitoring of driver alertness to enhance road safety.

An overview of prompt types that enhance language model performance.

A call for ethical practices in technology for all backgrounds.

Learn the essentials of regex for effective string manipulation and data handling.

An overview of Topological Quantum Field Theory and its connections to mathematics and physics.

Explore how agents can operate effectively in unpredictable environments through synthesis.

This article examines methods to classify words using non-deterministic automata.

Explore automatic and conditional complexity in strings and their applications.

Exploring how robots can work together effectively using hierarchical task management.

A look at simplified structures for efficient text handling.

Directed languages play a crucial role in computer science and language theory.

A new method improves view synthesis by separating reshading and pixel relocation.

A new dataset enhances 3D modeling of hands holding objects from videos.

A new method enhances detail and quality in 3D modeling through LoD-NeuS.

VLT simplifies layout changes for vector graphics, boosting design efficiency.

A new tool simplifies style transfers in vector graphics.

A method to train animated characters for realistic movements.

Neural networks improve the accuracy and efficiency of 3D surface reconstruction from point clouds.

A novel approach using masked discriminators improves image style transfer while maintaining content.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Using GPUs to speed up reservoir simulations can improve efficiency and reduce computation times.

A new architecture enhances energy efficiency and speed in large integer multiplication.

TroLL combines logic locking with hardware Trojans, posing serious security risks.

A study on machine learning attacks and effective countermeasures in network systems.

A new cache design aimed at enhancing security against timing attacks.

A new parallel algorithm enhances Turbo Encoder performance for faster data transmission.

FP8 offers a compact solution for training large AI models with improved efficiency.

This study examines user interactions and opinions on vaccination in online forums.

VALID library offers diverse avatars for online interactions.

New evaluation methods for large language models in healthcare.

A new method improves how tech detects human behavior in group settings.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

New methods for retrieving UI designs and ensuring consistency across mobile apps.

Examining how users navigate privacy concerns with LLM-based conversational agents.

This study connects presence and reaction time in Mixed Reality.

D-Train offers a straightforward approach to multi-domain learning challenges.

Exploring solutions for ad-load balancing on social media platforms.

Unobserved confounders can skew data, leading to false conclusions about recommendations.

RUEL improves item suggestions by utilizing Edge browser logs and advanced techniques.

Deep Mutual Learning enhances recommendations by better sharing information across tasks.

New methods for retrieving UI designs and ensuring consistency across mobile apps.

New methods improve song suggestions for listeners using both positive and negative feedback.

A new framework improves the accuracy of online shopping recommendations.

This study examines how entropy impacts centroid initialization in k-means clustering.

Learn how DBMR and NMF make data analysis easier.

Learn how machine learning models perform on unseen data.

This article discusses how reconfigurable intelligent surfaces can improve UAV energy efficiency.

Exploring new methods for accurate device location determination.

A new approach to improve signal quality in wireless networks.

Perpetual RISs harvest energy, enabling sustainable and efficient future communication networks.

A new method combines systematic and non-systematic coding for better data transmission.

Discover a new approach to improve evaluation efficiency in lambda calculus.

An overview of the external strategy in strong call-by-value programming.

Reversible programming languages pave the way for efficient computing solutions and quantum technology.

A look into how children deduce their muddy status through reasoning.

Explore innovative ways to define and verify while loops in Coq.

A study on the substitution lemma in lambda calculus with explicit substitutions.

A thought experiment illustrating how children share information and learn together.

A look into polynomial functors and their role in data types.

This article examines the online learning of linear operators and its complexities.

This study examines how entropy impacts centroid initialization in k-means clustering.

This method improves large language models for long context processing.

AQC offers fresh solutions to efficiently train neural networks.

Learn how machine learning models perform on unseen data.

D-Train offers a straightforward approach to multi-domain learning challenges.

LesionMix improves data augmentation for better detection of lesions in medical images.

Using drawings to teach robots offers a new, intuitive approach.

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.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Managing EV charging to stabilize the power grid while ensuring driver privacy.

New evaluation methods for large language models in healthcare.

New AI methods enhance air combat training with hierarchical decision-making.

A marketplace approach to streamline electronic contracts for cloud services.

Using game theory, robots coordinate movements in narrow areas to avoid collisions.

Improving HGV utilization through collaboration can cut carbon emissions significantly.

Exploring how AVs can communicate their future actions for safer driving.

Macop trains agents to adapt and work better with any teammates.

A new method improves how tech detects human behavior in group settings.

Learn how LP-CLIP enhances the robustness of multi-modal models like CLIP.

A ground-breaking dataset aids the study of K-pop lyric translation.

AVMIT offers researchers insights into how sound and vision relate in action recognition.

A new method improves detection of fake audio in voice recognition systems.

This study examines how cropping can improve video recall by focusing on visual saliency.

Assessing large models on low-level visual tasks through Q-Bench.

A new method enhances sound recordings using visual cues.

Underlayer networks improve communication and efficiency in modern manufacturing.

A look at techniques to boost online service performance.

Two innovative DNS records improve security and speed for online services.

NTNs offer new ways to improve connectivity in remote areas.

Radio frequency-powered sensors provide a solution for efficient structural health monitoring.

A new method improves spectrum sharing in wireless networks through proactive spatial prediction.

New methods improve network performance by integrating different signal types.

Discover the importance of communication timing and latency in cloud services.

A new approach using community assembly graphs to study lexicase selection in genetic programming.

A new approach enhances deep learning models for efficient use in wearable tech.

Hyperbolic neural networks enhance tree structure representation in data science.

dNEAT offers a new way to model complex systems effectively.

New methods integrate unevaluated solutions in optimization algorithms for better efficiency.

This article explains using neural networks for scene recognition in films and shows.

A novel model mimics brain processes to enhance image analysis.

This study improves RF biosensor sensitivity using advanced optimization techniques.

Examining how fluids swirl near surfaces and its engineering implications.

Explore how interest rates influence commodity market dynamics and pricing.

Exploring the impact of local discrepancy and functions on QMC techniques.

This research focuses on incorporating uncertainty into predictions using Bayesian inference.

Hyperbolic neural networks enhance tree structure representation in data science.

Strong minima ensure stability and uniqueness in optimization solutions across various fields.

This method improves image clarity by effectively removing unwanted stripe noise.

This article discusses how multiplex networks optimize communication in complex systems.

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.

Memory fragmentation affects computer performance, especially in demanding environments.

This paper discusses improving energy efficiency in devices using harvested power.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

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.

Research on predicting training time for machine learning models using FPTC.

This study explores new ways to assess blockchain applications using machine learning.

A novel approach estimates application-level power use without intrusive methods.

A clear look at queueing networks and their significance in various systems.

FP8 offers a compact solution for training large AI models with improved efficiency.

New engine improves efficiency in 3D point cloud processing with Sparse Convolution.

New methods enhance speed and efficiency in 3D rendering.

CXL improves device connections, enhancing memory sharing for better computing.

A new approach enhances the training of surrogate models in software development.

Examining schema change issues in live programming and local-first software.

New methods improve efficiency in analyzing complex software code.

Explore how red-black trees efficiently handle ordered sequences for parallel algorithms.

This study highlights programmatic approaches to improve math problem-solving efficiency.

Exploring new methods in type theory for better programming practices.

Discover a new approach to improve evaluation efficiency in lambda calculus.

Exploring new methods for communication safety in computer systems using session types.

A new model improves tactile sensing accuracy for robots using simulated and real data.

Using drawings to teach robots offers a new, intuitive approach.

Exploring the enhanced capabilities of VSLAM with RGB-D cameras and fiducial markers.

New method enhances robot navigation in complex environments by addressing uncertainty.

STARNet enhances reliability of robot sensors for safer autonomy.

New method enhances robots' understanding of object interactions in 3D environments.

New control methods improve robot adaptability to environment changes.

A new method enhances robot task performance using object understanding and positioning.

This study examines user interactions and opinions on vaccination in online forums.

Introducing a protocol for privacy-preserving link prediction in distributed graphs.

A decentralized method improves data collection with mobile devices.

A new method to generate urban flow data in cities without historical information.

A deep dive into advertising rules on Twitter reveals significant non-compliance.

This study reveals how Bitcoin transactions occur across different locations and times.

LLM-Mob framework enhances accuracy in predicting human mobility patterns.

Users are moving from Twitter to new platforms amid changing preferences.

A new library for creating and managing maze datasets in machine learning.

Examining how high-quality requirements influence software project success.

A new approach enhances the training of surrogate models in software development.

Examining the link between software architecture practices and sustainability efforts.

A novel approach for predicting delays in agile projects using real-time data.

Understanding the impact of technical debt on software start-ups and their development processes.

SBOMs are crucial for tracking software components and enhancing security.

Trusta and TDTs enhance the process of creating assurance cases for system safety.

Researchers develop speech-based methods for more accurate Parkinson's disease assessment.

Meta-SELD enhances sound event localization in diverse environments.

AVMIT offers researchers insights into how sound and vision relate in action recognition.

A new AI model enhances the prediction of audio quality scores.

This research examines how sampling methods affect AI-generated music quality.

A new method improves detection of fake audio in voice recognition systems.

New methods enhance beat tracking accuracy in complex classical music.

A look at how language diarization helps in multilingual conversations.

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.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A method to improve decision-making speed in Model Predictive Control systems.

Managing EV charging to stabilize the power grid while ensuring driver privacy.

A security approach to mitigate eavesdropping in Cyber-Physical Systems.