Computer Science

Examining the role of LLMs in predicting stock prices and enhancing market insights.

A study assessing AI language models in solving elementary math challenges.

A new model addresses privacy concerns in smart healthcare networks using blockchain and trust-based approaches.

A new software stack enhances performance for Transformer-based language models in real-world applications.

Examines the impact of foreground-background imbalance on object detection performance.

SARC speeds up learning in actor-critic algorithms for better decision-making.

Examining how team setups affect learning outcomes in multiagent systems.

Research explores analyzing Telegram messages for signs of depression.

Examining the role of LLMs in predicting stock prices and enhancing market insights.

A new method enhances speech recognition for dysarthric Arabic speakers.

A study assessing AI language models in solving elementary math challenges.

Allophant enhances phoneme recognition for languages with limited data.

A new software stack enhances performance for Transformer-based language models in real-world applications.

New methods enhance how systems answer image-based questions using external knowledge.

A new method improves how AI understands images and text.

Federated learning enhances medical NLP while protecting patient privacy.

A deep dive into the complexities of checking paths in graphs using context-free grammars.

New algorithms improve efficiency in approximating treewidth for complex graph issues.

This work introduces new rules for graph editing to achieve trivially perfect structures.

A look into how multi-vote systems influence electoral outcomes and voter satisfaction.

Exploring the complexities of integer packing within geometric shapes.

A look at comparing C-finite functions through inequalities and algorithms.

This study focuses on minimizing network lengths connecting specific points in geometry.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

A new IDE aims to improve reproducibility in computational experiments.

Using matrix completion to improve estimates of missing weather readings.

Evaluating accuracy and error bounds in neural network solutions for differential equations.

This study investigates quantum computing use in optimizing truss structures.

Exploring the impact of geometric deep learning on drug design processes.

Examining how polymer flooding affects sand in poorly consolidated rocks.

Automating cancer data extraction to enhance research efficiency.

Exploring the hybridized discontinuous Galerkin method for fluid dynamics.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

This study focuses on minimizing network lengths connecting specific points in geometry.

This research examines methods to eliminate crossing segments using flips.

New model improves how knowledge graphs represent concepts and entities.

Discover the complexities behind Olivier Longuet's unique Calissons Puzzle and its mathematical implications.

This study examines various methods to analyze resting-state fMRI data.

New algorithm estimates Chamfer distance faster and more accurately for large datasets.

This study optimizes the location of preferable and undesirable facilities.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Learn how payment channel networks can improve cryptocurrency transactions.

Exploring how DAOs impact auction dynamics and decision-making processes.

Examining fair compensation mechanisms amidst challenges of MEV in decentralized systems.

A new algorithm improves fair house-swapping among people with similar preferences.

A look into how multi-vote systems influence electoral outcomes and voter satisfaction.

A method for drones to enhance communication efficiency and reduce interference.

A new framework combines federated learning and blockchain to enhance data protection.

Exploring SAM's role in improving remote sensing image segmentation.

KITE enhances robots' ability to follow language commands for manipulating objects.

New methods for accurate real-time environment mapping in robotics and augmented reality.

A new method improves video compression while maintaining quality and efficiency.

Researchers are improving methods to predict future actions in video content.

Examines the impact of foreground-background imbalance on object detection performance.

DenseBAM-GI enhances the recognition of handwritten mathematical expressions using innovative techniques.

New methods enhance how systems answer image-based questions using external knowledge.

Blockchain technology is transforming oil and gas supply chain security.

Examining how knowledge of AI shapes trust and decision-making in security settings.

Automated questions may reveal gaps in programming knowledge among students.

This article discusses methods to enhance fairness in machine learning by correcting label noise.

Learn how synthetic data can protect privacy in longitudinal research.

Discover the importance of fairness and the CIF framework in machine learning.

Examining how personality traits influence language models and their communication.

A study on the trends and characteristics of AI-generated images using TWIGMA.

A new model addresses privacy concerns in smart healthcare networks using blockchain and trust-based approaches.

Blockchain technology is transforming oil and gas supply chain security.

BLEND combines secure storage and communication for efficient IoT data management.

Exploring the future of secure communication using quantum keys.

Exploring the impact of quantum computing on elliptic curve cryptography and future security.

A study reveals vulnerabilities in Apple's M1 and M2 to remote power analysis attacks.

RowHammer raises serious concerns about data integrity in modern computer memory systems.

Learn how payment channel networks can improve cryptocurrency transactions.

Learn how synthetic data can protect privacy in longitudinal research.

Learn how Pb-Hash improves data management and efficiency in various fields.

Explore methods to minimize machine rentals while scheduling tasks effectively.

A look at the clarity and structure of axis-parallel RAC graphs.

New algorithms improve efficiency in approximating treewidth for complex graph issues.

Exploring how quantum computing can address vehicle routing problems with time constraints.

This work introduces new rules for graph editing to achieve trivially perfect structures.

Learn how DP-OPH techniques safeguard user data in analytics.

A look into document spanners and their role in text information extraction.

An overview of transaction workloads and their role in financial systems.

A new method aims to improve AutoML performance under strict limits.

Learn how NARM identifies patterns in numerical datasets across various industries.

A new technique improves database analysis speed by reducing data movement.

Learn how minimal separators impact various fields including computer science and network analysis.

Automating cancer data extraction to enhance research efficiency.

Introducing a new approach to benchmark datasets in entity resolution for better evaluation.

This article examines the current state of software citation in scientific studies.

Analyzing research papers for accuracy through statistical methods.

This study aims to clarify repository duplications across multiple registries.

A new tool helps researchers collect text data from 4chan easily.

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.

This article examines new methods for improving periodic timetabling through split cuts.

A new algorithm improves fair house-swapping among people with similar preferences.

Noise impacts Shor's algorithm's efficiency in quantum computing and cryptography.

A study of rook's graph properties and their implications in graph theory.

This study focuses on minimizing network lengths connecting specific points in geometry.

Learn how graph sparsification simplifies structures while retaining key characteristics.

Innovative algorithms offer faster solutions for finding paths in undirected graphs.

Exploring the role of curvature in understanding network connections and community detection.

Federated learning enhances medical NLP while protecting patient privacy.

A new framework improves blockchain node efficiency and security through domain segmentation.

A look into improving VFL speed while ensuring data privacy.

FaaS optimizes edge computing for faster, safer data processing.

AdaCache adapts caching methods to improve performance and efficiency in cloud environments.

Examining the challenge of energy use and carbon impact in computing.

Discover how FPGA technology improves high-precision matrix multiplication.

Using machine learning to predict failures in high-performance computing jobs.

New method enhances photonic Ising machines for complex problem-solving.

Exploring the potential of DNA for advanced data storage and computation.

A new system mimics brain functions for efficient learning and processing.

Exploring thermodynamic binding networks for better detection of small molecules.

This study presents a deterministic method for efficient and accurate stochastic computing.

Molecular communication opens new ways to transmit information using tiny molecules.

New method reveals overlooked energy challenges in MAGIC design for memristors.

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

A look into document spanners and their role in text information extraction.

A new approach improves SAT solver efficiency through better communication between modules.

A look into the complexities of ensuring distributed systems operate correctly.

Discover efficient methods for string handling using DAWGs and suffix trees.

A look into how synchronizing automata enable systems to reset states effectively.

Efficient techniques for improving Earley parsing in natural language processing.

New methods improve the handling of string constraints in programming.

New algorithm greatly improves efficiency in simulating labeled transition systems.

A study on dashboard design elements and their impact on usability.

New techniques aim to speed up image rendering in complex 3D scenes using DDFs.

A method to generate customizable avatars using a single video of a person's face.

MARFs improve how we represent and render complex 3D shapes efficiently.

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

A new transformer-based method improves segmentation of 3D meshes for various applications.

A new approach improves digital stippling by merging techniques for better art.

SketchMetaFace helps beginners create 3D faces easily and quickly.

ReDy optimizes deep learning efficiency through dynamic quantization, reducing energy use.

RowHammer raises serious concerns about data integrity in modern computer memory systems.

Research reveals key issues affecting DRAM cell retention and performance.

Researchers tackle DRAM refresh issues to improve memory efficiency.

RowPress poses new risks to data safety in modern DRAM systems.

Discover how FPGA technology improves high-precision matrix multiplication.

HashMem speeds up hashmaps by combining processing and memory.

Understanding Hardware Trojans and their impact on electronic device security.

CORAE helps researchers track emotions during social interactions in real time.

This study identifies trust profiles that shape user experiences in automated vehicles.

A study on dashboard design elements and their impact on usability.

This study explores using AI to enhance human activity tracking through better sensor data.

This study examines how AI enhances anatomy learning in virtual reality.

This study explores new methods for hands-free control of AR systems using AI.

AR and AI enhance maintenance tasks through improved guidance and efficiency.

Examining how personality traits influence language models and their communication.

Introducing SANGEET, a detailed dataset on Hindustani Classical Music.

New methods enhance how systems answer image-based questions using external knowledge.

Learn how Pb-Hash improves data management and efficiency in various fields.

Exploring improvements in document retrieval methods for better information access.

A new method tackles cold-start challenges in recommendation systems using language models.

This framework streamlines data processing for better recommendation systems.

A new technique improves the search for genetic sequences in large datasets.

Innovative methods improve ads targeting efficiency using sparse data and advanced algorithms.

Learn how regularization shapes predictions in machine learning through Empirical Risk Minimization.

New methods aim to improve information transfer using molecular communication.

Innovative methods enhance security in wireless communication systems.

A new method enhances polar code performance for faster data transmission.

New language models improve text compression methods for better storage and faster transfer.

Learn about securing power-line communication against eavesdropping.

A new method enhances signal detection in low-resolution wireless communication systems.

Enhancements in diffusion models boost speed and accuracy in data creation.

A look into document spanners and their role in text information extraction.

Exploring modal logics, recursion, and their role in knowledge and belief systems.

A method to verify that systems meet temporal logic standards without manual input.

Learn how to identify Knights and Knaves using a Python algorithm.

An overview of symbolic finite automata and their applications in computing.

A new approach improves SAT solver efficiency through better communication between modules.

Introducing a model to improve how systems represent and interact with processes and procedures.

A look into the complexities of ensuring distributed systems operate correctly.

Examining the role of LLMs in predicting stock prices and enhancing market insights.

A study assessing AI language models in solving elementary math challenges.

Exploring how the Hessian matrix impacts neural network decision boundaries and generalization.

A new software stack enhances performance for Transformer-based language models in real-world applications.

A new policy enhances strategies for effective decision-making within a budget.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

Introducing SANGEET, a detailed dataset on Hindustani Classical Music.

SARC speeds up learning in actor-critic algorithms for better decision-making.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

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.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Examining the critical impact of data on AV decision-making processes.

A new strategy to manage MAPs in 5G networks for better service.

New algorithms adapt AI behavior to evolving moral values.

Teaching machines to predict beliefs of others boosts teamwork and performance.

Exploring the potential of wireless networks enhanced by generative AI technology.

A new approach improves the execution of multiple trading orders efficiently.

MARBLER aids researchers in testing teamwork among robots in realistic settings.

A new method improves video compression while maintaining quality and efficiency.

A new framework reduces manual labeling costs in food image segmentation.

This framework streamlines data processing for better recommendation systems.

A new method speeds up video encoding while maintaining quality.

This project helps anyone compose music using basic beats and advanced computer methods.

New model links language understanding with image processing efficiently.

This research introduces a system for matching music to video content effectively.

Discover the evolving Metaverse and its impact on communication and economy.

BLEND combines secure storage and communication for efficient IoT data management.

A new quantum algorithm enhances cellular positioning accuracy and efficiency.

Adapting wireless device design to meet 6G challenges.

A new method for allocating resources effectively in data centers.

Assessing the role of communication protocols in road safety for connected vehicles.

A new strategy to manage MAPs in 5G networks for better service.

MCQUIC enhances multicast streaming security and efficiency for live events online.

A new algorithm improves task processing in edge computing environments.

New method allows faster neuronal simulations with flexible connection creation.

This article discusses a hybrid system for machines to solve math problems efficiently.

Researchers use evolutionary algorithms for mathematical equation discovery from complex data.

How insights from the brain can enhance artificial intelligence learning.

Exploring methods for solving inverse problems in 3D printing.

This study compares CMA-ES and GES for building better model ensembles.

A new method improves language models' adaptability to new languages with less data.

Using real-time data to improve disease outbreak predictions.

A look into methods for simplifying kinetic equations and ensuring simulation stability.

This article discusses uncertainty quantification in plasma physics and its significance for fusion energy.

This paper presents an approach for elliptic optimal control problems with strict state constraints.

Exploring subtle image changes that mislead deep learning models in various fields.

New methods enhance accuracy in simulating fluid dynamics, especially at low speeds.

New methods in material simulation promise cost-effective insights and improved predictions.

A new method enhances efficiency in creating basis vectors for large equations.

Evaluating accuracy and error bounds in neural network solutions for differential equations.

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.

New methods enhance MPI Alltoallv communication for improved FFT performance.

An overview of transaction workloads and their role in financial systems.

Discover how FPGA technology improves high-precision matrix multiplication.

A new approach improves performance in diverse computing systems.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

This study uses machine learning to enhance data storage efficiency through performance modeling.

New tools make it easier to run powerful language models on standard hardware.

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

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

Rockmate automates memory optimization for training large deep learning models efficiently.

A solution for accessing data across different blockchains seamlessly.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

A look at improving efficiency in automatic differentiation for machine learning models.

Scenic 3.0 enhances modeling for systems like self-driving cars with 3D capabilities.

A new framework allows tailored synthetic data generation to meet varied organizational needs.

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

KITE enhances robots' ability to follow language commands for manipulating objects.

New methods for accurate real-time environment mapping in robotics and augmented reality.

This study identifies trust profiles that shape user experiences in automated vehicles.

A new method enhances drone obstacle avoidance in real-time flight situations.

A novel approach helps robots avoid obstacles while completing tasks safely.

A new method enhances Jump Point Search for dynamic environments.

A look into the advancements and challenges in self-driving cars.

A new method enhances imitation learning by combining high-level waypoints and low-level actions.

Examining how knowledge of AI shapes trust and decision-making in security settings.

A look at Twitter data and public feelings for the FIFA World Cup.

Study reveals how opinions shift and influence social interactions.

A new method tackles cold-start challenges in recommendation systems using language models.

A study on dialects of Sinitic languages using advanced machine learning techniques.

A new framework enhances Twitter bot detection by combining language models and graph techniques.

A new method uses social graphs to improve fake news detection.

Exploring the growth and trends of digital fashion in Decentraland.

A study on TensorFlow and PyTorch package dependencies in the PyPI ecosystem.

A new IDE aims to improve reproducibility in computational experiments.

A new method enhances the security testing of smart contracts through efficient snapshot management.

AIQL provides a user-friendly way to access architecture information seamlessly.

A new platform improves drone testing capabilities for safer operations.

A method to find and fix errors in DNN model conversion.

A new method enhances code search through smarter query reformulation.

A new method leverages language models to enhance compiler bug identification.

A new method enhances speech recognition for dysarthric Arabic speakers.

Allophant enhances phoneme recognition for languages with limited data.

Introducing SANGEET, a detailed dataset on Hindustani Classical Music.

A new method aims to improve fake audio detection without losing past knowledge.

A new framework enhances the study of unsupervised speech recognition systems.

This project helps anyone compose music using basic beats and advanced computer methods.

Self-supervised models reveal insights into phonetic and phonemic distinctions in speech.

Research explores the use of speech recognition in police body camera footage analysis.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

An overview of complex projective hypersurfaces and their significance in mathematics.

New model improves how knowledge graphs represent concepts and entities.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

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.

Examining the need for cybersecurity in cyber-physical systems.

A new method for analyzing power quality data without needing extensive labels.

New method enhances control systems for uncertain environments using innovative strategies.

A method to verify that systems meet temporal logic standards without manual input.

Discover improvements in aerial robot movement and object handling capabilities.

Research combines physics and technology to improve tire modeling for vehicle safety.