Computer Science

A new approach to enhance fairness in hiring academics using quality metrics.

A new method uses images with text to improve event detection.

A new method enhances ChatGPT for clearer text classification decisions.

This article discusses a model for learning logic formulas using advanced techniques.

Combining hard and soft data to improve maritime threat detection.

New framework improves text generation by using machine-generated outputs for better memory.

Car-following models are key to analyzing vehicle behavior and improving traffic flow.

A new method enhances stability and performance in prompt tuning for language models.

A new method uses images with text to improve event detection.

A new method enhances ChatGPT for clearer text classification decisions.

Combining hard and soft data to improve maritime threat detection.

Task-Optimized Adapters improve dialogue systems for better performance and efficiency.

New framework improves text generation by using machine-generated outputs for better memory.

Exploring vulnerabilities in machine learning from hidden backdoor attacks.

A new method enhances stability and performance in prompt tuning for language models.

A new framework helps machines perform tasks efficiently by simulating human thought processes.

This article examines quantum algorithms and their relationship with polynomial characteristics.

A look into making clustering results easier to explain and understand.

An overview of guarded extensions and their role in logical frameworks.

A look into symmetric functions and their sampling using circuits.

This study presents a new approach to solving the hidden subgroup problem using quantum algorithms.

Research reveals new methods for effective low-degree testing with varying grid structures.

New techniques enhance local testers for efficient error correction in data transmission.

This article explores the nature of coordination problems and their implications.

A new method enhances efficiency in arranging VLSI modules.

This study explores MMW radar's ability to detect small objects in various conditions.

The STST model enhances stock price predictions using advanced technology.

Exploring how data drives our understanding of complex systems through advanced modeling.

A new framework enhances simulation efficiency for heat transfer in FFF 3D printing.

Advanced techniques improve material layout design using neural networks for engineering structures.

Strategies to strengthen the semiconductor industry's response to supply and demand shifts.

Exploring the role of magnetic reconnection in high-energy environments.

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

A look into making clustering results easier to explain and understand.

New algorithms for efficient geometric set cover addressing MMGSC and MPGSC challenges.

A method to reduce movement of mobile sensors while covering essential targets.

A new method improves topological data representation for machine learning.

Introducing a novel method for creating high-quality meshes from point cloud data.

Clustering helps identify patterns in data across various fields.

This article examines a method to find empty spaces separating colored points on a plane.

An overview of first-price auctions and the complexities of finding equilibria.

Learn how bug bounty programs help find security flaws in technology.

This article reviews urgency programs and their impact on programming models.

A look at reactive synthesis and its role in building responsive systems.

A new method improves grouping efficiency for agents using classical and quantum techniques.

A look at sharing chores fairly using the EFX method.

Discover methods for fairly sharing tasks in group settings.

How payment methods impact the success of order flow auctions.

NeRD improves image quality by transforming raw Bayer patterns into RGB images.

Machines learn to describe changes between images through Visual Transformation Telling.

A new approach improves MRI image quality by addressing various artifacts effectively.

New methods improve the analysis and creation of living cell images.

MProtoNet improves deep learning model interpretability for brain tumor diagnosis.

Examining the impact of advertisements on consumer fashion choices.

A new method generates 3D avatars using only 2D images.

A novel method generates realistic 3D models from single images quickly.

This article discusses efforts to improve school diversity through informed outreach.

A new approach to teaching data science ethics using real-world surveillance examples.

Exploring weak supervision methods for better hate speech classification across datasets.

A study using tweets to gauge public opinions on renewable energy technologies.

VendorLink uses NLP to help law enforcement trace illegal Darknet activities.

Examining the role of fairness in systems that recognize human emotions.

Examining a user-driven approach to managing social media content.

Exploring the need for fair revenue sharing between AI tools and data providers.

Examining the vulnerabilities in knowledge graph reasoning systems and their implications.

Exploring how population protocols can protect sensitive data among connected devices.

Discover how Homomorphic Encryption protects sensitive data in Neural Networks.

Addressing privacy and data valuation in training machine learning models.

McEliece cryptosystem offers potential against emerging cybersecurity threats like quantum computing.

RARES provides a reliable solution for protecting IoT and CPS devices against attacks.

Examining vulnerabilities in our energy infrastructure due to cyber threats.

Discover the latest techniques for protecting videos from unauthorized use.

An overview of first-price auctions and the complexities of finding equilibria.

A deep dive into sample complexity and its implications for machine learning predictions.

New caching methods enhance efficiency and fairness for users across systems.

Using predictions to enhance route planning for time-sensitive deliveries.

New algorithms enhance graph connectivity analysis for practical applications.

Research focuses on improving methods for analyzing graph cycles and paths.

New algorithms improve efficiency in finding integer minima of convex functions.

Exploring convex sets and their significance in high-dimensional spaces.

A new dataset reveals insights into individual fashion tastes.

GALOIS offers a flexible solution for managing IoT data efficiently at the edge.

Data Station enables safe, efficient data sharing while ensuring privacy and compliance.

A new system improves video analytics using natural language queries.

Chatbots help enhance children's health monitoring in Philippine schools.

Learn how object-centric alignments improve process mining techniques.

Explores the importance of completeness in knowledge bases and strategies for improvement.

RiverBench provides diverse datasets for evaluating RDF streaming methods effectively.

Study evaluates BERT models on noisy and clean texts for better classification.

A look into the h-index and its variations in measuring research influence.

A new framework to categorize unconventional topics in science and technology.

Explores the importance of completeness in knowledge bases and strategies for improvement.

A model for assessing the quality of semantic artefact catalogues.

Revamping academic publishing with community-driven solutions for better access and efficiency.

This article discusses how time influences Wikipedia access and user behavior.

An analysis of women's roles in retracted scientific papers.

New algorithms enhance graph connectivity analysis for practical applications.

Researchers use graphs to simplify quantum experiments and generate entangled states.

Research focuses on improving methods for analyzing graph cycles and paths.

New algorithms improve efficiency in finding integer minima of convex functions.

Researchers successfully computed the Dedekind number D(9) using advanced computing technology.

A look into graph theory's densest subgraphs and tree packing problems.

A look at how universal obstructions help analyze graph properties.

Exploring ways to enhance connections in directed graphs through various problems.

Testing FT-BLAS against leading libraries shows strong performance and effective fault tolerance.

Exploring how population protocols can protect sensitive data among connected devices.

GALOIS offers a flexible solution for managing IoT data efficiently at the edge.

A new project aims to enhance RISC-V software for cloud applications.

This research focuses on improved task management in autonomous systems through efficient data processing.

Optimizations improve the lattice Boltzmann method for better GPU performance in fluid simulations.

DECICE aims to optimize computing resources using AI and digital twins.

Researchers enhance simulation performance using GPUs for complex materials.

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

Exploring the role of light in next-gen wireless connectivity.

Using quantum computing to evaluate financial risks in energy economics.

Exploring the impact of re-initialization methods in SNNs and their applications.

A new method for quick testing of neural networks using a single input vector.

IMBUE architecture enhances machine learning efficiency using ReRAM technology.

A look at an efficient method for data processing and analysis.

A new device promises faster, energy-efficient processing in optical neural networks.

A look into history-deterministic vector addition systems and their applications.

A new logic merges counting and structural properties for better reasoning.

A look into separability and non-determinism in well-structured transition systems.

A look at reactive synthesis and its role in building responsive systems.

Operator precedence languages help manage expression evaluation in programming and formal languages.

Examining how tree homomorphisms affect regular tree languages and their applications.

Strategies to enhance the performance of LLMs in formal theorem proving.

An overview of higher-dimensional automata and their applications in complex systems.

A novel method generates realistic 3D models from single images quickly.

A new method improves hand-object poses for animators, focusing on contact areas.

A new method combines low-resolution speed with high-resolution detail for facial animations.

A study on merging visual and tactile feedback for realistic interactions.

New method improves multi-view portrait drawings using consistent facial features.

Enhancing ultrasound images for better clarity and real-time diagnostics.

This work focuses on improving 3D modeling through learnable coordinate transformations.

New methods allow lifelike characters to perform multiple actions simultaneously.

Exploring the benefits of Neural Architecture Search for Intel's Movidius VPU.

RARES provides a reliable solution for protecting IoT and CPS devices against attacks.

New techniques for deploying machine learning models in power-constrained devices.

CXL offers improved memory performance for modern server processors.

New architecture improves AI efficiency for low-power edge devices.

Introducing MoCA, a system enhancing memory management for deep neural networks.

Strategies to strengthen the semiconductor industry's response to supply and demand shifts.

Transforming building design to save energy and promote sustainability.

Examining the connection between UX design and environmental sustainability.

Fact-checking is essential to combat misinformation on social media and in news.

This study investigates how LLMs express human-like personality traits.

A simple guide to how generative AI creates images from text prompts.

A new tool aids in visualizing transformer models' attention mechanisms.

A study on merging visual and tactile feedback for realistic interactions.

An overview of the daily struggles and tools for blind individuals at home.

A look at how robot design can benefit family interactions.

This study compares the effectiveness of generative and human responses in training retrieval models.

New methods improve music tagging and retrieval using less human input.

Demure enhances multi-modal recommendation systems by filtering out irrelevant information.

Conversational recommendation systems improve user experience by providing personalized suggestions.

A study on how text representation influences clustering of product reviews.

ULTR aims to create unbiased systems for better search and recommendations.

A study on using tech tools for faster legal research in Hong Kong.

A new method improves recognition of biomedical terms with limited training data.

A look into better ways to estimate cross-correlation.

Discover how RIS is shaping the next generation of wireless networks.

Deep learning enhances positioning accuracy in challenging indoor environments.

A new framework enhances performance in hyperdimensional computing.

Researchers are improving error correction techniques in quantum computing through innovative code strategies.

New method enhances signal detection in satellite networks using spiking neural networks.

New systems enhance communication for numerous devices connecting at once.

Innovative techniques to tackle complex optimization problems in critical systems.

This article discusses a model for learning logic formulas using advanced techniques.

New methods improve teamwork in public health decision-making through stock and flow modeling.

A look into history-deterministic vector addition systems and their applications.

A new logic merges counting and structural properties for better reasoning.

A study on techniques for checking fixpoints using categorical approaches.

This article explores a new fragment of logic that maintains decidability through variable adjacency.

This article reviews urgency programs and their impact on programming models.

A method to enhance the safety of neural networks in critical applications.

A look into better ways to estimate cross-correlation.

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

A new approach to enhance fairness in hiring academics using quality metrics.

A deep dive into sample complexity and its implications for machine learning predictions.

A new method enhances ChatGPT for clearer text classification decisions.

New methods improve the analysis and creation of living cell images.

This article discusses a model for learning logic formulas using advanced techniques.

MProtoNet improves deep learning model interpretability for brain tumor diagnosis.

Researchers enhance simulation performance using GPUs for complex materials.

clotFoam transforms blood clot formation research through powerful simulations.

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

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

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

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

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

This work connects lattice theory and multi-agent systems for better information management.

A new method for optimizing robot tasks in warehouse operations.

A novel method simplifies complex multi-agent decision-making for various applications.

Satellites now learn and analyze data independently with onboard machine learning.

Exploring how self-driving cars can communicate to enhance safety on the roads.

Learn how scheduling improves responses to security threats using attack-defence trees.

This article discusses how robots can avoid collisions and deadlocks in shared spaces.

Understanding how agents collaborate despite adversarial influences in decentralized settings.

A new template aims to improve dataset documentation for multimedia quality assessment.

Demure enhances multi-modal recommendation systems by filtering out irrelevant information.

A new method improves real-time video processing using criticality-aware techniques.

A new dataset sheds light on video quality ratings for various devices.

Researchers enhance AI to generate beautiful symmetric patterns for artists.

This study introduces a technique for better understanding emotions through text from nonverbal signals.

ElasticHash uses deep learning for swift and precise image searches.

A new dataset enhances text-to-image matching accuracy.

A tool for direct file sharing without central servers, ensuring speed and security.

A look at mm-Wave technology and network design strategies for better performance.

Flock quickly identifies gray failures in data center networks using advanced statistical methods.

A method to reduce movement of mobile sensors while covering essential targets.

Innovative approach to identify issues in interconnected devices effectively.

Blowback traffic poses challenges for researchers and can amplify attacks.

This article discusses how deep transfer learning can improve intrusion detection systems.

The 6G-SKY project aims to integrate aerial and ground networks for seamless communication.

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

Researchers aim to replicate evolving systems in artificial life through innovative simulations.

This study examines how signal length affects speech separation performance.

Exploring the benefits of Neural Architecture Search for Intel's Movidius VPU.

Exploring how width impacts neural network performance and training.

Bilinear layers simplify analysis and enhance interpretability in neural networks.

New methods improve CNN design efficiency and accessibility.

A new method enhances hyperparameter optimization through multi-objective approaches.

Introducing a method for better estimation of rare event probabilities.

Exploring Bayesian inverse problems and their impact across multiple fields.

Discover new methods to approximate Hessians in optimization without complex calculations.

A look into how magnetic fields influence shallow water flow dynamics.

Learn how model reduction simplifies large linear systems in science and engineering.

A new method improves solving partial differential equations in various fields.

A look into GMRES, preconditioning, and their applications in solving linear systems.

Analyzing the energy consumption and efficiency of tumble dryers in households.

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.

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

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.

Testing FT-BLAS against leading libraries shows strong performance and effective fault tolerance.

Exploring how hardware acceleration improves edge computing performance.

PSqueeze helps identify root causes in online service systems efficiently.

Discover the benefits of Compressed Packed Memory Array for data storage.

DietCNN reduces energy use in CNNs for efficient processing on small devices.

A new method for improved resource management in machine learning.

Learn how the BB84 protocol secures communication using quantum mechanics.

A new compiler approach streamlines matrix multiplication for various hardware setups.

A new framework enhances performance in hyperdimensional computing.

A method to help robots learn tasks by observing users.

Learn how macro design affects compilation times in Common Lisp projects.

Innovative methods enhance code search efficiency across multiple programming languages.

This article explains the challenges of polyglot programming and presents a new analysis method.

Introducing a programming language that ensures memory safety for GPUs.

CHAMELEON improves model management in low-code platforms for better software development.

Learn how Egg-smol makes e-graphs accessible for Python developers.

This study explores MMW radar's ability to detect small objects in various conditions.

A diverse dataset supporting the growth of self-driving car technology.

A new aerial robot features a lightweight, foldable arm for precise tasks.

A new model improves object recognition in robots facing uncertain images.

A new method for optimizing robot tasks in warehouse operations.

A new method improves robot learning through elastic maps, enhancing task performance.

Artificial intelligence enhances realism in motion simulations for driving, aviation, and gaming.

A new system aligns robot speech and actions for better collaboration.

Examining social capital and efforts to promote equity in networks.

A new dataset aids in studying connections in biomedical literature.

Examining a user-driven approach to managing social media content.

A deep dive into community robustness and its implications.

Research unveils how stubbornness shapes opinions within social networks.

A look into the h-index and its variations in measuring research influence.

Silent abandonment poses a challenge for contact centers, affecting service efficiency.

Examining the role of social media in climate change discussions and campaigns.

Automating warning classification helps developers focus on real issues.

A tool allowing programmers to control coding with voice commands.

Learn how macro design affects compilation times in Common Lisp projects.

Innovative methods enhance code search efficiency across multiple programming languages.

A method to enhance the safety of neural networks in critical applications.

Creating a dataset to better understand time and space complexities across programming languages.

This article explains the challenges of polyglot programming and presents a new analysis method.

GenClu offers a new method for efficient test case generation in CPS.

New methods improve music tagging and retrieval using less human input.

This study examines how signal length affects speech separation performance.

New method estimates distances using drone motor noise.

This research highlights a new model for better emotion recognition using audio and visual data.

This study examines how AI rates and describes sounds compared to humans.

FSB-LSTM improves speech clarity in noisy settings with low latency and low complexity.

Research reveals ways to enhance keyword spotting systems while reducing power consumption.

Prak simplifies phonetic alignment for Czech language research.

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

A look into the complexities of testing polynomial identities.

An overview of circuit polynomials and their significance in point arrangements.

A method combining symbolic reasoning and neural networks for better decision making.