Computer Science

Examining the impact of bias in AI and the need for fairness.

A new method enhances audio texture morphing for creative sound design.

A dataset aims to improve question answering in African languages.

A new data-driven approach to forecast rutting depth in asphalt pavements.

A method to improve efficiency in training language models through data selection.

HAHE enhances link prediction accuracy in complex hyper-relational knowledge graphs.

Learn how STGNNs improve time series forecasting in various fields.

A new method for selecting crowd workers enhances data labeling quality and reduces costs.

A dataset aims to improve question answering in African languages.

A new system aims to identify and classify sexist content in online spaces.

A method to enhance clarity in medical language translation.

A new system translates Kurdish writing into KuSL for better access.

A method to improve efficiency in training language models through data selection.

A new approach helps machines retain knowledge in relation extraction tasks.

SCKD model improves continual learning for relation extraction while addressing forgetting issues.

A study on enhancing content-based recommendations using LLMs.

A look at the efficiency of constant-depth circuits over monotone circuits.

Debate surrounds Google's assertion of quantum superiority over classical computing.

Exploring how changes in genomes impact evolution and biodiversity.

This article explores recent developments in learning quantum states and their applications.

Examining contracts and verification in agent decision-making through Boolean games.

New algorithms identify truncation in normal distributions with fewer samples.

High dimensional expanders connect diverse fields, revealing hidden relationships in mathematics.

A look into the complexities of testing polynomial identities.

A new model offers better gas price predictions for Ethereum transactions.

Discover new methods in topology optimization for improved structural design.

Innovative predictive models enhance investment strategies by integrating risk measures.

Examining how viscoelastic materials behave under stress and fracture.

This article examines the effects of coffee tree leaf rust in Colombia.

Research links Neanderthal tar methods to their cognitive abilities.

Discover the potential of CVAE-GPRR for fast, reliable predictions in complex modeling.

Research advances in reconstructing videos from brain signals using fMRI data.

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.

A new method creates clear and compact tree diagrams for better data understanding.

A new approach to manage self-intersections and improve collision detection in graphical simulations.

Two innovative algorithms improve convex hull finding for large datasets.

A look into funnel polygons, hidden sets, and convex covers.

A new method improves geometric graph efficiency for various applications.

This study presents new methods for fairly dividing items represented by graphs.

This article examines how opinions about reputation affect cooperation among individuals.

Examining how different voting methods impact collective voter satisfaction and fairness.

A two-stage method for improving outcomes in multi-objective Markov Decision Processes.

Explore how trust influences decisions and impacts relationships with experts.

Analyzing player interactions and decision-making in simple strategic games.

Examining the challenges and solutions in multi-agent decision-making in various sectors.

This study predicts how humans decide in games influenced by agents.

A new lightweight network improves data reconstruction in compressed sensing.

A tool for exploring and visualizing large digital collections.

FAN-Net improves stroke lesion segmentation using advanced image processing techniques.

A method to estimate camera spectral sensitivity without specialized equipment.

This paper presents a method for detecting altered video segments effectively.

The study compares CNNs and transformers for medical image analysis.

SAM redefines image segmentation with flexible object recognition capabilities.

A new tool that connects text and images for various tasks.

Exploring the integration of digital twins and the Metaverse for enhanced experiences.

Examining how privacy measures affect school attendance boundaries and diversity.

Examining racial bias in algorithmic risk assessment tools in criminal justice.

A new method shines light on biases in language model responses.

This article explores the risks and ethical concerns surrounding ChatGPT.

Exploring the development of an automated question generation model for education.

Examining the structures affecting access to opportunities for everyone.

Examining the need for fairness in medical imaging models.

Exploring new solutions for secure and efficient 6G communication technologies.

A method to enhance blockchain safety by borrowing security from other chains.

Examining the risks and effects of model hijacking in natural language processing.

Addressing vulnerabilities in 5G systems with new testing methods.

DNN-Defender offers real-time protection for deep learning models against RowHammer attacks.

This article explores the risks and ethical concerns surrounding ChatGPT.

Explore how traceable mixnets enhance privacy in data management while allowing specific queries.

A new approach combines fuzz testing and NLP for better 5G vulnerability detection.

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

A look into the Contention-Friendly Binary Search Tree and its efficiency.

Clustering helps identify patterns in data across various fields.

New algorithms improve speed and efficiency for matching buyers and sellers online.

This article discusses methods for assigning edge weights based on graph structure.

New method audits privacy in machine learning with a single algorithm run.

Exploring the impact of graph structure on quantum annealing effectiveness.

New bounds on support size improve optimization methods in scheduling and mixed-integer programming.

Introducing a tool that enhances matrix-related tasks in data analysis.

TD Coin offers a unique method for data storage in a decentralized network.

ResidualPlanner provides fast, private insights from data using noisy marginals.

A guide to selecting effective billboard advertising slots to maximize customer influence.

A new method creates clear and compact tree diagrams for better data understanding.

An initiative to integrate water and health information for better decision-making.

Applying information theory can improve our approach to database management.

Exploring the impact of Deep Clustering on data cleaning and integration tasks.

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.

Open access articles increasingly cited on Wikipedia enhance knowledge sharing.

A comprehensive collection of computational linguistics research papers for open science.

A new approach helps researchers find relevant datasets using natural language.

A new method enhances the search for physical archival materials.

This article examines how citation habits in NLP have evolved over time.

A look into degree sequences and their significance in hypergraphs.

New findings improve Cheeger’s inequality, enhancing understanding of graph properties.

Exploring the dynamics of coalitions and their role in graph structures.

A look at how opinions spread and solidify within social networks.

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

New bounds on support size improve optimization methods in scheduling and mixed-integer programming.

A look into sparse graphs, degeneracy, and induced paths.

Exploring Boolean networks and their role in biological modeling and analysis.

Examining the carbon footprint of cloud services and the need for transparency.

A look into the Contention-Friendly Binary Search Tree and its efficiency.

A framework for predicting resource needs in Kubernetes deployments.

EBISU optimizes stencil computations on modern GPUs for better performance.

SplitAMC enhances data privacy and reduces latency in modulation classification.

Explore the methods and challenges of model evaluation in federated learning.

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

A new approach to data management using persistent memory technology.

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 PUBO and QUBO for better quantum optimization solutions.

A look into the new quantum version of the k-NN algorithm using Euclidean distance.

New approaches to mimic biological neurons for real-time signal processing.

Innovative methods improve system analysis with timing constraints.

A system designed for quick machine recovery using reinforcement learning techniques.

Learn how model checking verifies systems for correct behavior.

A look at separability and its implications in automatic and recognizable relations.

A new tool for reasoning in modal logic with improved capabilities.

A look at Monadic Tree Logic for analyzing tree structures and their properties.

A look into Moore automata and their relationships with Mealy automata.

A look into the complexities of nondeterministic and deterministic automata.

A new method for creating lifelike digital faces with limited data.

Introducing a deep learning method for realistic facial animations across various models.

A new approach to manage self-intersections and improve collision detection in graphical simulations.

Research pushes boundaries in creating videos from text using trained image models.

DragGAN revolutionizes image editing with interactive, precise manipulations.

Learn how AFM reshapes meshes while preserving their structure.

Polyhedral splines simplify the creation of smooth surfaces in various applications.

A new tool enhances TMS therapy by offering real-time electric field visualization.

A cost-effective approach to enhance SSD speed and efficiency.

A look at the complexities of analyzing genomic data and ongoing advancements.

A new framework simplifies the design of packet processing systems in networks.

A new framework improves insertion and detection of hardware Trojans using reinforcement learning.

Discover how AnalogNAS enhances AI efficiency for smaller devices using analog IMC.

A novel approach for designing efficient quantum circuits using the Standard Recursive Block Basis.

Examining the complexities and solutions in managing control flow for quantum computing.

IMBUE architecture enhances machine learning efficiency using ReRAM technology.

A tool for exploring and visualizing large digital collections.

Examining the role and effectiveness of AI explanations in decision-making.

Text2Cohort makes cancer data more accessible for researchers through natural language queries.

This article explores the risks and ethical concerns surrounding ChatGPT.

Explore a system that simplifies retrieving forgotten web content.

A fresh look at multiverse analysis and its impact on scientific research.

Study reveals better methods for tracking human activities using wearable devices.

Examining perceptions of AI and their effects on teamwork.

A dataset aims to improve question answering in African languages.

A study on enhancing content-based recommendations using LLMs.

Exploring new content enhances user engagement and satisfaction in recommendation systems.

Negation significantly affects information retrieval and model performance.

A new method tackles the cold-start problem in recommendation systems.

Exploring the integration of digital twins and the Metaverse for enhanced experiences.

New tool aids in fact-checking by connecting users to expert opinions.

AI helps schools quickly identify potential threats to student safety.

Discover how new technologies improve wireless data delivery.

Intelligent Reflective Surfaces enhance communication efficiency for smart devices.

This article discusses energy use in mobile systems and future improvements.

An overview of additive codes and their significance in quantum error correction.

A look into Sidon sets and their connections to coding theory.

New methods improve signal detection using one-bit ADCs in massive MIMO systems.

A look at improving communication efficiency with modern technology.

SplitAMC enhances data privacy and reduces latency in modulation classification.

Examining the impact of bias in AI and the need for fairness.

Innovative methods improve system analysis with timing constraints.

Forgetting is key to managing knowledge in AI and decision-making.

Learn how model checking verifies systems for correct behavior.

Explore the nuances of separation logic and its entailment challenges.

Learn how Rely-Guarantee reasoning improves program interaction without conflicts.

A review of embedded finite models and their implications in logic and computer science.

String diagrams simplify complex systems across various fields for better understanding.

A new lightweight network improves data reconstruction in compressed sensing.

A new approach improves time series forecasting accuracy for various applications.

This article discusses ways to speed up computations in additive Gaussian Processes.

A new data-driven approach to forecast rutting depth in asphalt pavements.

A method to improve efficiency in training language models through data selection.

HAHE enhances link prediction accuracy in complex hyper-relational knowledge graphs.

Learn how STGNNs improve time series forecasting in various fields.

Exploring the benefits of RePU networks in statistical estimation and regression.

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.

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.

This study presents a model for aligning norms with multiple values in agent systems.

This study examines how sweepers can best detect evaders in a circular area.

New methods improve vehicle communication for safer driving experiences.

A new method enhances safety for groups of drones in various applications.

Examining the role of deliberation in approval-based multi-winner elections.

Analyzing player interactions and decision-making in simple strategic games.

A method for better collaboration between humans and machines for task completion.

Examining the challenges and solutions in multi-agent decision-making in various sectors.

Exploring the integration of digital twins and the Metaverse for enhanced experiences.

A new tool that connects text and images for various tasks.

Analyzing video quality preferences between HDR and SDR formats.

Examining the shapes of polytopes reveals insights into deep ReLU networks.

New method combines video frames for efficient question answering.

Learn how HDR-VDP-3 improves image quality evaluation for various applications.

New methods improve sentiment analysis with limited labeled data.

A new model enhances video question answering using game theory principles.

A unique dataset reveals mobile app usage patterns in France's urban areas.

Analyzing how ISP rivalry affects service quality and pricing strategies.

Study presents a new algorithm for effective packet routing in IAB networks.

A new method uses deep reinforcement learning for efficient wireless communication.

Using drones and smart devices to improve disaster response and communication.

FLARE helps IoT devices manage concept drift while ensuring privacy and efficiency.

A new framework simplifies the design of packet processing systems in networks.

Parametric insurance offers faster claims and increased transparency through technology.

A new data-driven approach to forecast rutting depth in asphalt pavements.

This study presents a model for aligning norms with multiple values in agent systems.

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

A new model improves synthetic genetic data for better diagnosis and treatment.

Exploring the role of neural oscillators in advancing machine learning technologies.

This article explores a new AI method for studying neuron models effectively.

A look at how GKLS helps evaluate optimization methods effectively.

A new approach uses MRI scans and machine learning to identify Alzheimer's effectively.

New methods improve modeling of nonlinear elastic materials and cavitation.

Exploring the role and construction of bounded Poincaré operators in mathematics.

New numerical scheme maintains key properties for shallow water wave models.

A new method enhances fluid motion predictions, especially in turbulent conditions.

A new method improves calculations for understanding particle internal states.

SplitAMC enhances data privacy and reduces latency in modulation classification.

Methods for quick and accurate pressure calculations in incompressible fluid flow.

Optimize numerical integration over complex shapes using compressed Quasi-Monte Carlo methods.

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.

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.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

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

A new AI tool enhances the automation of parallel programming using OpenMP pragmas.

Learn how waiting times impact various industries and optimize operations.

A look at performance modeling and its role in deep learning systems.

This article reviews the Gittins policy's role in optimizing job scheduling.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

Learn how CPU-GPU systems improve fluid dynamics simulations.

Introducing a tool that enhances matrix-related tasks in data analysis.

A look into the Contention-Friendly Binary Search Tree and its efficiency.

An overview of parser combinators and the importance of verifying their accuracy.

Explore how automatic differentiation and Prolog work together in various fields.

Learn how Rely-Guarantee reasoning improves program interaction without conflicts.

This paper introduces a notation for clearer management of sequential and parallel programming tasks.

Research shows language models can learn meaningful content from programming languages.

Examining the complexities and solutions in managing control flow for quantum computing.

New framework improves perception and motion planning in autonomous vehicles.

Rhino robot improves safety and efficiency in underground mining operations.

Using GPT-2 and scene graphs for robot task planning.

New techniques help robots grasp transparent plastic bags more effectively.

VBOC efficiently computes safe movement zones for robots.

A new method enhances robot path planning through image-based learning.

A novel approach improves object position estimation using tactile data.

A new method helps robots better understand surfaces in natural environments.

Explore how users interact within Reddit and Voat communities over time.

This article discusses methods for assigning edge weights based on graph structure.

This study analyzes Twitter data to measure and understand homelessness trends.

This study examines how group interactions influence opinion shifts over time.

Introducing a method to improve moderation of online discussions.

An examination of why users transitioned from Twitter to Mastodon post-ownership change.

An analysis of Facebook posts reveals state differences in abortion opinions.

A new model enhances forecasting accuracy using dynamic graphs and advanced neural networks.

A framework for predicting resource needs in Kubernetes deployments.

Using multiple simulators enhances the testing of autonomous vehicle software.

A new approach combines fuzz testing and NLP for better 5G vulnerability detection.

A new tool improves eBPF program testing and identifies vulnerabilities.

RDF Surfaces improve data expression and management on the Semantic Web.

A new method improves software testing by refining Metamorphic Relations.

Hackathons provide support for newcomers in open source projects.

A toolkit that simplifies SPIR-V code creation for Java programmers.

A new method enhances audio texture morphing for creative sound design.

A new method generates audio from text using modern models.

A competition to improve automated Foley sound creation for multimedia.

This study explores using playlists to improve music classification and similarity.

How Deep Transfer Learning transforms Automatic Speech Recognition technologies.

Innovative technology separates musical voices using advanced tracking techniques.

Farmers can now track cow behaviors accurately despite background noise.

New methods in music transcription show promise with synthesized audio data.

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.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

Exploring efficient methods for creating winning strategies in two-player games.