Computer Science

Introducing a new model for improved air quality predictions.

A new approach to modeling complex relationships through creative thinking.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

A new consensus method improves blockchain energy use and data quality.

Examining the importance and techniques of route prediction in delivery services.

Exploring biological insights to enhance Deep Learning technologies.

This article examines how biological models enhance AI through spiking neural networks.

A fresh approach to protect privacy in time series data analysis.

Exploring privacy issues in fine-tuning AI models like GPT-3.

Introducing a secure method to identify machine-generated text.

Investigating if LLMs exhibit human-like personalities through MBTI analysis.

A new benchmark aims to enhance evaluation of Multimodal Large Language Models.

This article discusses the integration of knowledge graphs and language models for better information representation.

A new method to trace harmful use of large language models.

Examining how to better assess instruction-following models in question answering tasks.

Introducing KoBBQ, a dataset assessing social biases in Korean language models.

This article explores activation patterns in ANNs to differentiate learning styles.

Planning adaptive railway networks for current and future demands.

Understanding the gaps in asymptotic subrank and slice rank of 3-tensors.

Boolean functions are key in algorithms, coding, and cryptography.

An overview of determinants and algebraic branching programs in complexity theory.

A look at qualitative and quantitative methods in understanding probability.

Methods to improve learning models amidst data shifts in various fields.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

New model enhances efficiency in analyzing material microstructures.

Learn how to optimize cloud costs with simple strategies and effective resource management.

A new method enhances Gaussian mixtures for better predictions in complex distributions.

New methods improve blood flow studies using advanced neural networks.

Using neural networks can enhance predictions in hydrogen combustion processes.

Research into prechambers aims to improve gas engine efficiency and reduce emissions.

New model enhances understanding of thermal radiation in freeze drying processes.

Enhancing model performance for better predictions in engineering systems.

Exploring light reliable spanners and their impact on networks.

A look at how Möbius homology reveals connections in posets.

Discover how convex polygons in 3D depict graph connections effectively.

A method for efficiently managing independent sets of disks in computational geometry.

Exploring a novel approach to calculating Betti numbers using quantum computing.

A guide to reducing dimensions in high-dimensional data while preserving distances.

Examining the significance of k-metrics in mathematics and computer science.

A novel approach to accurately describe and adjust distortions in 3D data.

Research tackles the Maximum Weighted Digraph Partition problem for optimal graph division.

Learn about the extortion threats facing Ethereum validators and ways to mitigate risks.

Examining how incentive structures affect validator behavior in decentralized networks.

Discover advancements in decentralized Q-learning for multi-agent systems.

Investigating how markets can reach equilibrium with asynchronous actions.

Examining strategies for balancing energy management and decision-making in game theory.

Exploring how general models adapt to specific tasks through collaboration.

Explore how contracts can be structured to influence agent behavior effectively.

Examining challenges and defenses against adversarial attacks on 3D point clouds.

AntGPT improves machines' ability to predict future human actions from videos.

A novel approach enhances blood vessel visibility in retinal images, aiding disease diagnosis.

New methods to protect 3D recognition systems from adversarial examples.

New techniques enhance gait analysis for better rehabilitation insights.

A look into SPGAN's impact on image generation methods.

Exploring biological insights to enhance Deep Learning technologies.

This article examines how biological models enhance AI through spiking neural networks.

A deep dive into how temporal networks track interactions over time.

An overview of key papers on NLP and ML from early 2023.

A study on how the pandemic shaped political expression on Twitter.

Examining the unethical practices in AI-driven labor and influencer marketing.

New tools aim to enhance fairness in AI by providing access to diverse datasets.

A new way to assess health using just a smartphone image.

A card-based method to make cybersecurity accessible for beginners.

Examining how AI impacts global safety and ways to build trust.

Analyzing how social media sentiment affects cryptocurrency market trends.

New methods aim to catch attackers before they cause harm.

New methods to protect 3D recognition systems from adversarial examples.

A new consensus method improves blockchain energy use and data quality.

This study analyzes the risks of adversarial examples in machine learning and possible defenses.

A fresh approach to protect privacy in time series data analysis.

Exploring risks of data leaks in CPU-GPU integrated systems.

A new method to trace harmful use of large language models.

A deep dive into how temporal networks track interactions over time.

This research presents new ways to create shortcut partitions in minor-free graphs.

Exploring light reliable spanners and their impact on networks.

Research tackles the Maximum Weighted Digraph Partition problem for optimal graph division.

Learn how to tackle Minimum Spanning Trees in complex datasets.

A look at how letter swaps create unique word configurations.

A look at how the 2-opt heuristic optimizes travel routes efficiently.

A look into the Biclique-Free Vertex Deletion problem and its implications.

Introducing a new model for improved air quality predictions.

Exploring how blockchain technology can reshape copyright management for creators.

A study investigates fairness in Yelp's recommendation and ranking systems.

SJTU-H3D provides essential tools for evaluating the quality of digital humans.

A user-friendly system for managing and analyzing geospatial video data.

Streamlining diverse data access through federated systems.

TeraHAC efficiently clusters large graphs, enhancing data analysis for various fields.

Learn how blockchain can verify product authenticity and combat counterfeits.

An overview of key papers on NLP and ML from early 2023.

A resource connecting global authors and works, focusing on underrepresented voices.

Examining how skill alignment enhances research outcomes in academic institutions.

This study examines how hyperauthorship affects the assessment of scientific collaboration.

A new tool simplifies access to scientific data for researchers.

New methods help in reading damaged Herculaneum papyri using technology.

This study evaluates how reproducible Jupyter notebooks are in biomedical research.

A look at how academics present co-authors on online profiles.

Exploring how vertices work together in graph structures.

Examining different game models of Cops and Robber on directed graphs.

A look into independent sets, Boolean networks, and their complexities.

A look at how data cohesion improves analysis and clustering.

Research tackles the Maximum Weighted Digraph Partition problem for optimal graph division.

A look at how letter swaps create unique word configurations.

This article examines twin-width and tree-width as important graph measurements.

Learn about correlation clustering and its real-world applications.

Exploring how logical synchrony enhances communication in distributed systems.

AQUILA enhances federated learning by optimizing device selection and data communication.

A new framework enhances the efficiency of deep learning task management across diverse hardware.

A powerful supercomputer cluster launched in Europe for advanced research.

Learn how to optimize cloud costs with simple strategies and effective resource management.

Programmable matter allows materials to change shape and properties, offering diverse applications.

Learn how PROV-IO improves data tracking in scientific research.

New scheduler enhances efficiency by considering job communication patterns.

A new method improves Ising machines' efficiency in solving complex optimization problems.

A look into hyperdimensional computing's methods and benefits.

Exploring the dangers of backdoor attacks in Quantum Neural Networks.

Exploring how to measure and improve the reliability of NISQ devices.

New framework improves QNN training with encrypted data and privacy protection.

Exploring methods to simulate complex bosonic systems using advanced quantum techniques.

Learn how molecular communication and AI enhance information transfer in various fields.

Optical systems could transform deep learning by processing data faster and more efficiently.

This article discusses regular languages and their significance in formal systems.

An overview of tree transducers, focusing on macro tree transducers and their key properties.

A look into how forgetting-limited automata process information and compare to other machines.

Exploring new definitions and applications of Dyck languages in two dimensions.

Researching structures and methods for quick information retrieval in text.

Study focuses on using CTL+Sync with One-Counter Automata for model verification.

Bridging the gap between smart models and practical decision-making for robots.

A look into omega-regular reward machines for better AI learning.

A new tool streamlines the process of creating animated text using GIFs.

A method for artists to easily manage textures and shapes in their work.

A look into how ML and human input shape effective taxonomies.

A new approach to improve graphics quality in video games through neural networks.

Discover how smartphone technology simplifies long exposure photography for everyone.

A new method enhances 3D hologram quality by considering eye movement.

A new Python package simplifies downsampling large time series datasets for better visualization.

Introducing a flexible framework for visualizing and analyzing complex data sets.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

New codes improve memory device reliability against soft errors effectively.

Exploring risks of data leaks in CPU-GPU integrated systems.

PATRONoC improves data transfer efficiency in deep learning applications.

E-graphs simplify verification processes for datapath circuits, enhancing efficiency and accuracy.

This article discusses STT-MRAM's benefits and challenges for deep neural networks.

iEDA offers an open-source platform for streamlined chip design processes.

A new automatic scheduler improves performance for image processing on edge devices.

Research shows one human can effectively supervise a swarm of 100 robots.

A new approach to understanding AI explanations enhances user trust and experience.

A recent study introduces a technique for assessing cognitive load through EEG data.

A new tool streamlines the process of creating animated text using GIFs.

A new method reveals how different drivers behave on the road.

A card-based method to make cybersecurity accessible for beginners.

A look into how ML and human input shape effective taxonomies.

A new search tool improves how users find relevant data.

A new method enhances product recommendations by factoring in purchase timing.

A study on how the pandemic shaped political expression on Twitter.

AsdKB offers a new resource for understanding and diagnosing Autism Spectrum Disorder.

NEON system enhances user experience by predicting daily living needs.

A study on the effectiveness of GNNs in recommending personalized content.

A new way for AI to grasp user preferences while respecting privacy.

A new tool to analyze time-related data effectively.

This article highlights new methods to clarify spectral clustering results for text documents.

Learn how variational autoencoders enhance estimation in wireless communication.

Researchers introduce an innovative protocol for accurately estimating bosonic Hamiltonians.

Exploring how contextual beamforming improves mobile network reliability and speed.

Explore the basics and applications of two-layer neural networks.

New XAI-CHEST scheme enhances channel estimation transparency and performance in communication.

Efforts to improve Reed-Solomon decoding methods enhance data reliability.

New quantum codes improve error correction for quantum computers, focusing on burst errors.

Exploring how to arrange quantum states for better information extraction.

This article discusses regular languages and their significance in formal systems.

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

A look into univalent reference types and their implications for programming languages.

A simple look at classical sequent calculus and its core concepts.

E-graphs simplify verification processes for datapath circuits, enhancing efficiency and accuracy.

Learn about program termination and its significance in concurrent programming.

RealCQA offers a fresh approach to tackling chart question answering challenges.

Introducing a program logic to enhance reasoning for higher-order, stateful software.

A new model offers efficient workload prediction in cloud computing.

Examining challenges and defenses against adversarial attacks on 3D point clouds.

Introducing a new model for improved air quality predictions.

Exploring privacy issues in fine-tuning AI models like GPT-3.

Examining the effects and processes of magnetic reconnection in plasma environments.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

New algorithms enhance the identification of symmetries in complex physical systems.

New methods to protect 3D recognition systems from adversarial examples.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

CDL aids in studying permutations and arrangements in computer and social sciences.

A new approach to improve private data trading accuracy and privacy.

This paper introduces responsibility anticipation for better decision-making in multi-agent interactions.

AI research focuses on improving human-like communication in artificial agents.

MetaGPT enhances collaboration among agents for more effective task-solving.

A new framework improves safe learning among robotic agents by addressing experience sharing risks.

A new method enhances federated learning security against data poisoning attacks.

Discover advancements in decentralized Q-learning for multi-agent systems.

Investigating how markets can reach equilibrium with asynchronous actions.

Exploring how blockchain technology can reshape copyright management for creators.

A new way to assess health using just a smartphone image.

A new tool streamlines the process of labeling video data effectively.

A new method combines image style and content to interpret emotions accurately.

FAST revolutionizes scene text editing with natural modifications and flexibility.

A new method combines sketches and text to improve 3D shape generation.

A new framework for safeguarding prompt creators' rights in AI tools.

A new approach improves efficiency in Vision-Language Pre-training tasks.

A new BFT system enhances transaction inclusion and resistance to censorship.

High Altitude Platform Stations improve energy efficiency in future wireless networks.

A study on how 5G networks impact drone communication in suburban areas.

New scheduler enhances efficiency by considering job communication patterns.

An overview of quantum networks, their challenges, and scheduling solutions.

A new system enhances message priority in Bluetooth Low Energy Mesh networks.

A novel method to predict energy consumption in BLE devices for better efficiency.

Learn how to predict VoIP traffic to enhance network performance.

Exploring new methods for training recurrent neural networks effectively.

Exploring biological insights to enhance Deep Learning technologies.

This article examines how biological models enhance AI through spiking neural networks.

This study examines how algorithm components affect performance in multiobjective optimization.

Active learning enhances data training efficiency through strategic sample selection.

Study reveals energy-efficient human activity recognition using spiking neural networks in wearables.

A new ConvNet design enhances flexibility and adaptability through continuous symmetry.

A framework to enhance machine learning predictions with clarity and trust.

Researchers introduce an innovative protocol for accurately estimating bosonic Hamiltonians.

A look at how Cosserat rod theory informs engineering and biomechanics.

This article presents a new method for solving initial value problems in physics.

Exploring how the MUSIC algorithm identifies anomalies with limited background information.

Innovative methods to model fluid flow on curved surfaces using finite element techniques.

A method to process and cluster simulation data for better prediction models.

Effective predictions from limited simulations for complex jet-explosive interactions.

Research focuses on improving coefficient reconstruction in medical imaging through thermoacoustic methods.

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 look at new systems improving insulin delivery and blood sugar monitoring.

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.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Industry and academia unite for better biomedical data processing.

Study analyzes CrUX dataset to improve web user experience metrics.

Explore a new method for efficient storage of sparse matrices to enhance performance.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

Learn how to measure the effectiveness of digital advertising campaigns.

A new method enhances verification of event-driven multi-threaded applications.

This article discusses regular languages and their significance in formal systems.

Learn about gradual sensitivity typing and its role in enhancing programming security.

Learn how reactive probabilistic programming adapts to uncertainty in dynamic environments.

Introducing a program logic to enhance reasoning for higher-order, stateful software.

This work presents a method to improve code understanding in LLMs using symmetry.

New methods for monitoring complex systems using prefix transducers improve real-time verification.

Adjustments to MicroPython lead to better performance on CHERI platforms.

A new approach enhances AV communication with human drivers during complex maneuvers.

Soft robots improve movement with real-time path planning and adaptive gaits.

A new method improves elevation angle estimation in underwater robotics.

A new method improves vehicle interactions for better driving safety.

Research shows one human can effectively supervise a swarm of 100 robots.

A benchmark for assessing AI performance in robotic manipulation tasks using NVIDIA Isaac Sim.

Automated driving technology promises safer roads and reduced accidents.

A new framework helps robots learn efficiently from limited data.

A deep dive into how temporal networks track interactions over time.

Learn how hypergraphs help in understanding complex systems and interactions.

OIDC² streamlines identity verification for safer online interactions.

A new model reveals how interactions affect COVID-19 transmission and individual risk.

A study on how the pandemic shaped political expression on Twitter.

Examining the unethical practices in AI-driven labor and influencer marketing.

This research explores self-training methods for enhancing hate speech detection in social media.

A look at how data cohesion improves analysis and clustering.

A new method enhances verification of event-driven multi-threaded applications.

A benchmark for assessing AI performance in robotic manipulation tasks using NVIDIA Isaac Sim.

This article discusses using prompts to enhance software traceability with large language models.

DroneReqValidator automates realistic simulation for safer drone testing.

A new framework enhances the efficiency of deep learning task management across diverse hardware.

CLAA improves API review categorization for better developer insights.

Investigating the use of ChatGPT to grade open-ended questions in software training.

Identifying common flaws to improve manual testing quality.

New framework enhances speech clarity from silent videos through improved processing.

Discover the blend of art and science in studying the mridangam.

A new method improves custom word recognition in ASR systems for languages with limited data.

Researchers develop a Conformer model to improve fake audio detection.

New methods improve early detection of Alzheimer's using speech and audio analysis.

Explore sound data from 41 musical instruments with detailed recordings.

New technologies improve communication for individuals with speech disorders.

A new system combines transcription and translation for better communication.

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

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

This article examines conditional obligations and their significance in ethical reasoning.