Computer Science

Evaluating AI's potential to support teacher development and improve classroom practices.

A method for improving document summarization through interactive editing.

The quest for explainable AI focuses on transparency and trust in decision-making.

Introducing SERT and SST-ANN for better predictions with missing data.

A new model improves classification of nodes based on their variable roles in hypergraphs.

New radar systems improve driver safety with better uncertainty management.

This article discusses tackling inconsistencies in natural language explanations for AI.

Chai prioritizes safety and ethics in chatbot interactions to enhance user experiences.

A new method boosts information retrieval efficiency with fewer data needs.

Evaluating AI's potential to support teacher development and improve classroom practices.

A method for improving document summarization through interactive editing.

New methods in machine learning improve understanding of breast cancer survival.

This article discusses tackling inconsistencies in natural language explanations for AI.

A look at conformal prediction to improve AI reliability.

This article examines the structure of hate speech arguments in social media.

A look at how AI models acquire second languages and the mechanisms behind it.

A look into how agents form expectations and reason about their environment.

A look into the challenges and applications of the minimum generating set problem.

Exploring methods to ensure reliability and clarity in AI decision-making.

Exploring complexity measures and efficiency in read-once branching programs.

Research on algorithms for finding shortest paths in distributed graph models.

New methods enhance management of electric vehicle sharing systems for better customer service.

Researchers unveil a method for simple patterns to replicate using cellular automata.

Bell sampling aids in proving the effectiveness of quantum computers over classical systems.

New methods aim to automate labeling of financial numbers in reports.

A new approach to accurately predict stress in complex materials.

AircraftVerse offers a vast collection of aerial vehicle designs and performance metrics.

A method to improve predictions of human reactions using selective data sampling.

Streamline analysis of complex systems using data and advanced modeling techniques.

Researchers develop models to improve liver surgery outcomes through better blood flow prediction.

Researchers develop a generative model to improve protein folding predictions.

Innovative approaches using DMD and GAN enhance modeling of shock-induced pore collapse.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

A new algorithm outperforms existing methods for point-in-polygon checks.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the intricacies and challenges of disk packing in geometry.

Explore an optimization challenge in connecting locations using Steiner points.

A new method improves mesh generation for accurate surface representation.

New research reveals methods to detect and address gerrymandering using random districting plans.

Research unveils methods to test if crease patterns can be folded flat.

An analysis of peer review rewards to improve quality and collaboration.

MEX framework enhances exploration and decision-making in online reinforcement learning.

A look at how principals and agents can work together effectively.

Examining key aspects of loss functions in predicting human behavior.

Using reinforcement learning for fairer and engaging game levels.

An overview of generalized polymorphisms and their role in Boolean function analysis.

Examining how information markets can influence traditional voting methods.

Examining the threats of bribery to blockchain security and integrity.

A study enhances predictions for cognitive decline using partial data.

New methods enhance counting accuracy in large image datasets using human verification.

A breakthrough method reveals how our brains process complex visual images.

A new method uses computer vision on street view images to estimate flood risk.

A new method improves image quality evaluation without reference images.

The GST framework improves medical imaging by addressing uncertainty and domain shifts.

New method improves quality and editability of 3D head avatars from text prompts.

A new method enhances 3D object modeling from photos with improved accuracy.

Robot Patrol helps visually impaired individuals navigate indoor spaces safely.

Schools adapt to teach digital skills and support teachers.

A study on how generative AI can capture the identity of cities.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A project focuses on identifying harmful language in online spaces.

LEACE aims to remove bias from models through concept erasure.

Evaluating natural language inference to tackle hate speech in multiple languages.

LoopBoxes helps children create music easily and collaboratively.

A new approach enhances privacy in machine learning while maintaining speed and accuracy.

Federated Learning enhances security for IoT devices while protecting user data.

A look at Federated Learning's benefits and challenges, including the FedVal method.

A look at Google's Topics API's impact on user privacy and ad targeting.

Examining privacy loss in Noisy-SGD with non-convex loss functions.

Exploring the integration of TEEs and security coprocessors for better data protection.

Exploring machine unlearning as a solution for data privacy concerns.

Examining the role of Semantic Communication in connected vehicle environments.

A new method improves speed and accuracy in data searches using binary codes.

Learn how to make better decisions when faced with uncertainty.

A method to enhance connections between isolated groups in networks.

New methods enhance the speed of genomic data analysis using SBWT and LCP array.

Efficiently optimizing dynamic data under strict matroid rules.

A look into the importance and methods of quantum state estimation.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the benefits of lookahead in semi-online task scheduling.

Learn about methods to manage data inconsistencies effectively.

DashQL simplifies data analysis by combining SQL and visualization.

A new method improves spatial data partitioning for faster processing.

ScienceBenchmark offers a new benchmark for complex scientific databases.

A new method speeds up database queries using machine learning techniques.

This method balances fairness and project needs in team selection.

Learn how temporal query systems improve data analysis across various domains.

A method that combines data processing and ML predictions for faster decision-making.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

A new index offers a detailed view of ongoing research contributions.

Investigating prompt-based methods for improving language models in research data retrieval.

Using Transformers to analyze and categorize research papers for better insights.

AI tools aim to improve access to LaTeX documents for visually impaired users.

A dataset offering insights into how the Russo-Ukrainian war is reported worldwide.

Learn how stack and queue numbers shape graph arrangements.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

Exploring machine learning methods for network optimization challenges.

This article discusses directed 1-separations and their role in infinite digraphs.

A look into the properties and applications of extremal families in mathematics.

An overview of generalized polymorphisms and their role in Boolean function analysis.

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

Examining the coloring techniques of Cayley graphs in various algebraic structures.

A look into Narwhal and Bullshark for faster consensus and reliability.

A new approach predicts lossy compression performance for scientific datasets, improving data management.

Disaggregated memory systems optimize resource usage in high-performance computing environments.

Exploring how agents can improve decision-making through collaboration.

Exploring new methods to improve decentralized learning efficiency while ensuring data privacy.

A powerful platform designed for easy and fast data processing.

JOSS optimizes energy use in task-based applications by considering CPU and memory together.

This paper presents a robust solution for reliable communication in distributed systems.

TornadoQSim offers a modular framework for efficient quantum circuit simulations.

A new method enhances how we recognize actions in video using reservoir computing.

Explore how edge AI is transforming wireless communication systems for better efficiency and accuracy.

This study combines classical and quantum methods for improved image segmentation.

Exploring how RNS can boost efficiency and precision in deep learning.

Photonic networks harness light for faster AI processing and energy efficiency.

A new method improves prediction reliability in neural networks using spintronics.

This paper discusses flexible programming methods for dynamic qubit arrays in quantum computing.

Explore how fractals and process systems relate through self-similarity and iterative processes.

A look at how different structures interact in formal languages.

A method for guiding autonomous systems while ensuring safety and compliance.

Examining the relationship between attributed and top-down tree transducers.

Discover how Wheeler automata enhance efficiency in data processing and pattern matching.

New techniques improve real-time monitoring for critical system performance.

Explore how invariants and home spaces help in system analysis.

This article explores improvements to Angluin's algorithm for learning automata with noisy data.

A new method enhances 3D object modeling from photos with improved accuracy.

GarmentCode simplifies garment design and pattern creation for better fit and creativity.

A new method enhances image generation using minimal object views.

A new method to improve information retrieval in academic literature.

A novel technique enhances the rendering of shiny surfaces in real-time applications.

A new sampling method enhances the efficiency of rendering in computer graphics.

StreetSurf creates detailed 3D models from standard images of street views.

This method converts hand-drawn sketches into editable 3D shapes easily.

SAFT enhances training speed and efficiency for noisy deep learning models.

Introducing a novel architecture for classical control systems in quantum computers.

Reassessing how we classify and understand sequential circuits.

A look at Mixed-TD for optimizing neural networks on hardware.

A new framework improves text generation speed through better memory allocation.

ColibriUAV enhances drone performance with advanced cameras and efficient processing.

Utilizing Large Language Models to optimize DNNs for small devices.

NetGAP automates network design for complex systems, enhancing adaptability and efficiency.

Social robots may provide companionship for those feeling lonely.

This article discusses the importance of timing in VR cognitive studies.

A study on how generative AI can capture the identity of cities.

Using AI to improve load safety checks in logistics.

DashQL simplifies data analysis by combining SQL and visualization.

A new system enhances object detection in augmented reality using HoloLens 2.

LoopBoxes helps children create music easily and collaboratively.

A new method for creating realistic impact sounds through neural networks.

A new method boosts information retrieval efficiency with fewer data needs.

Exploring advancements and challenges in generative information retrieval models.

This study assesses middle training methods for improved information retrieval in language models.

A new model improves recommendations by using both positive and negative feedback.

New techniques enhance retrieval accuracy and efficiency in recommendation systems.

A system enhances dialogue accuracy using procedural guidelines.

Learn methods to safeguard PII while using Large Language Models.

A new framework enhances CTR prediction by addressing sample selection bias.

A new approach predicts lossy compression performance for scientific datasets, improving data management.

Exploring approximate message passing for better signal recovery in various fields.

6G technology promises faster communication and new applications for everyday life.

Analyzing how time zone design affects health and social outcomes.

Examines how antenna layouts affect wireless channel estimation accuracy in 5G.

A new method to evaluate uniform distribution in data samples.

Exploring the rise of visible light technology in positioning and communication networks.

Examining privacy loss in Noisy-SGD with non-convex loss functions.

A look into formalizing mathematical proofs related to regular primes.

New methods streamline the creation of communication protocols, boosting efficiency and correctness.

A study on induction methods and their limitations in proving properties of Lisp-like lists.

This article explores how bounded epistemic logic models knowledge limitations.

A look into how agents form expectations and reason about their environment.

Explore how fractals and process systems relate through self-similarity and iterative processes.

Learn about methods to manage data inconsistencies effectively.

Introducing a better way to manage complex information with layered ontologies.

A study enhances predictions for cognitive decline using partial data.

Explore how noise influences recurrent neural networks and sample complexity.

New methods enhance counting accuracy in large image datasets using human verification.

SAFT enhances training speed and efficiency for noisy deep learning models.

A tool designed to enhance the understanding of geometric data across various fields.

A new approach enhances privacy in machine learning while maintaining speed and accuracy.

Introducing SERT and SST-ANN for better predictions with missing data.

The GST framework improves medical imaging by addressing uncertainty and domain shifts.

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.

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.

A look at how race and class affect education access.

A look at how principals and agents can work together effectively.

Exploring how agents can improve decision-making through collaboration.

A method using historical data for real-time basketball strategy development.

A collaborative approach improves flying robots' navigation in turbulent winds.

A new framework tackles challenges of Byzantine agents in distributed optimization.

Examining how information markets can influence traditional voting methods.

How online content influences opinion formation and societal divisions.

New benchmark reveals performance gaps in document processing models.

New model improves panoramic image analysis for real-world applications.

LoopBoxes helps children create music easily and collaboratively.

A look at biases in text-video retrieval and ways to enhance accuracy.

A novel method enhances audio classification by learning new sounds efficiently.

A new system improves viewing direction selection in 360-degree videos.

A benchmark for assessing image similarity based on user-defined conditions.

A new model improves how machines understand and respond to audio questions.

Combining Wi-Fi and LiFi can improve internet experiences.

Learn how joint optimization can enhance optical network efficiency.

Using wake-up radios enhances data collection efficiency in drone operations.

Farmers use machine learning and IoT for better crop yield predictions.

Examining the impact of adversarial attacks on network intrusion detection systems.

Learned Digital Back-Propagation enhances optical signal quality and reduces interference.

FAIR Digital Objects aim to enhance management and sharing of research data.

Tiny devices could change how we monitor health inside the bloodstream.

New mutation operators improve performance of evolutionary algorithms in optimization problems.

A new neural network model combines efficiency and effective training methods.

This article discusses using ancestral data to enhance evolutionary algorithm performance.

How robot design influences learning abilities and task performance.

A new framework improves AI's ability to handle uncertainty in predictions.

Node Shift Encoding offers a better approach to the Travelling Salesman Problem.

Examining how algorithms perform in the presence of noise during multi-objective optimization.

Research shows how systems learn to adapt in real-time using brain-like mechanisms.

A straightforward guide on gradient descent and its optimization methods.

Exploring the significance of geometrically continuous splines in various applications.

New methods reduce memory usage while solving the Boltzmann Transport Equation effectively.

A method to enhance optimal control over systems defined by PDEs.

This article explores advanced methods in constrained optimization using adaptive techniques.

A method to estimate how harmful substances penetrate rubber materials.

Learn how algorithmic differentiation and checkpointing improve scientific model efficiency.

This study proposes a new way to model COVID-19 transmission considering various factors.

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.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

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.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

New methods improve the visualization of complex scientific data.

Learn how algorithmic differentiation and checkpointing improve scientific model efficiency.

A new dataset of COBOL projects supports research in crucial systems.

A new tool helps users manage rounding errors in floating-point calculations.

A framework for monitoring blackbox components in networked applications.

New methods improve security in computer architecture through formal specifications.

This article discusses a combined method for effective automated code editing.

A new programming language simplifies Bayesian inference on function spaces for researchers.

Simplifying type management in programs with automatic box insertion.

A tool designed to enhance the understanding of geometric data across various fields.

Robot Patrol helps visually impaired individuals navigate indoor spaces safely.

This article discusses how robots can assist firefighters during indoor emergencies.

Social robots may provide companionship for those feeling lonely.

GMMap improves robotic navigation by optimizing memory and energy use.

Explore how inflated-beam robots use air pressure for delicate tasks.

A method to link AI decision-making and safety through control barrier functions.

A new method localizes vehicles using lidar and satellite images without relying on GPS.

A new model improves classification of nodes based on their variable roles in hypergraphs.

A study on how museums acquire contemporary art and its impact on artists.

A look into the contextual stochastic block model and its implications for graph analysis.

A study on how generative AI can capture the identity of cities.

This study presents a new method for augmenting graphs using randomized Schur complements.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

This article examines how time affects short-term relationship longevity.

Exploring how agents can improve decision-making through collaboration.

Transforming raw metrics into scores for better understanding in organizations.

This study examines how screenshots can enhance the accuracy of issue assignments.

TestLab automates software testing using AI to ensure quality and security.

A new dataset of COBOL projects supports research in crucial systems.

Farmers use machine learning and IoT for better crop yield predictions.

Git-Theta streamlines model management and teamwork in machine learning projects.

HornFuzz tool enhances testing for CHC solvers by identifying bugs effectively.

Examining how Solidity updates affect Ethereum smart contract vulnerabilities.

A new method enhances general audio models for effective speech recognition.

New model enhances emotional understanding in dialogues.

A model combines spoken language and text to improve translation accuracy.

Research uses human speech models to analyze Marmoset vocalizations effectively.

New methods improve early detection of respiratory diseases using sound data.

This study examines how laughter conveys emotions through sound analysis.

A new model brings voice capabilities to devices without internet.

New model ZET-Speech enhances emotional speech synthesis for diverse speakers.

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.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

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.

This article discusses active cyber defense as a strategy against malware threats.

Research proposes new neural ODEs that respect manifold constraints in robotics.

GiPH improves task placement across devices for better performance.

New method speeds up beam tuning in accelerators using machine learning.

Exploring intersection checks of polynomial zonotopes in complex systems.

This article presents a method to estimate voltage phase angles in electric power networks.

A method for guiding autonomous systems while ensuring safety and compliance.

Methods for controlling distributed-parameter systems using flatness and backstepping designs.