Computer Science

A method transforms 3D models to fit styles using text prompts.

Using cultural insights to enhance hate speech detection methods.

Deep-BIAS improves bias detection in algorithms using deep learning technology.

New methods for denoising images using lightweight Transformers and fair training practices.

New approach allows recognition of unseen objects in video analysis.

A new method fine-tunes image captioning for clearer, more descriptive outputs.

A new framework improves how systems answer questions about images with text.

A framework using VAEs for effective detection of out-of-distribution data in CPS.

A new approach enhances the efficiency of patient history collection using AI.

A new framework enhances fine-tuning of language models for specific tasks.

Efforts to enhance AI capabilities in Czech, Polish, and Russian languages.

Advancements in summarization methods make Sanskrit texts more accessible to readers.

Using cultural insights to enhance hate speech detection methods.

An overview of ChatGPT's features, applications, and research trends.

A new system enhances topic modeling by involving users in refining results.

This study assesses ChatGPT's effectiveness in correcting grammar across multiple languages.

A look into how AI models provide explanations for their decisions.

A look at counting problems and methods for practical applications in computer science.

Explore how quantum query complexity shapes computing efficiency compared to classical methods.

Investigating the challenges of approximating the clique problem under the exponential time hypothesis.

Learn about secluded partitions and their role in data handling and algorithms.

This article examines improving learning algorithms by focusing on data distributions.

Explore the vital role of string attractors in data compression and retrieval.

Learn about the LSRS problem and its importance in various fields.

Learn how sparsification helps manage complex network systems efficiently.

Combining numerical methods and machine learning improves fluid-structure interaction simulations.

A new model improves data tracking in Lattice Quantum Chromodynamics.

This study examines Landau damping using numerical simulations to enhance understanding in plasma behavior.

This article explores how pathway modules assist in studying biochemical networks.

Examining how recrystallization affects Zircaloy-4 in nuclear applications.

Antenna design improves through topology optimization for modern communication needs.

A study on portfolio optimisation with transaction and holding costs integrated.

Exploring Voronoi diagrams through Hilbert geometry reveals new insights and applications.

A new algorithm streamlines the process of creating convex hulls in various applications.

Learn about secluded partitions and their role in data handling and algorithms.

TAS-Paths improves safety and efficiency in spectrometer motion planning.

Exploring methods that clarify deep learning model decisions.

A new method improves speed and accuracy in penetration depth estimation for robotics.

This article focuses on enhancing the layout of nearly planar graphs for better visualization.

A mathematical method for analyzing complex data shapes and structures.

Explore the dynamics and applications of stable matching in various fields.

A method to estimate unknown parameters in network games using statistical information.

Physical models make biology more tangible and engaging for learners.

A look into Bayesian games, their equilibria, and the role of mediators.

Effective sensor allocation is key in combatting diverse attack strategies.

Zalando enhances profitability with a structured bidding approach in online advertising.

e-Uber merges ride-sharing with energy-sharing for electric vehicle drivers.

A look at strategies to reduce false information online.

A novel method improves brain surface analysis using advanced techniques.

A method transforms 3D models to fit styles using text prompts.

Exploring AI's role in assessing lung scans for better patient diagnosis.

A new method enhances image classification by learning class names from visual data.

New methods for denoising images using lightweight Transformers and fair training practices.

Research enhances multi-label classification models using partial annotations, boosting prediction accuracy.

Explore how VAEs generate images and their advantages and challenges.

New approach allows recognition of unseen objects in video analysis.

Examining how XR technology can influence mental health treatment and user experience.

This study reveals significant bias in image-text models and their societal implications.

Code Critters combines fun and education to teach software testing through play.

A study on identifying fake news in Chinese social media amid the pandemic.

Examining the impact of language models on the U.S. job market.

A study of how Congress members communicate climate change through Meta ads.

New methods to detect fake images using iris recognition.

Exploring how developers view and tackle fairness in ML applications.

Innovative protocols for identifying harmful content while ensuring user privacy.

Verifying unauthorized use of facial images for training models.

Examining how adversarial attacks impact segmentation models and exploring potential defenses.

Enhancing protection for encrypted systems against unauthorized access.

A hybrid approach improves the way processor security issues are tested.

Exploring the importance of error correction in cryptography for data security.

Understanding backdoor attacks and their effects on Graph Neural Networks.

Concerns grow over image security amidst advances in AI technology.

Exploring effective methods for minimizing costs in network flow management.

Explore the dynamics and applications of stable matching in various fields.

Discover how local graph clustering simplifies data analysis in large networks.

A novel algorithm improves the comparison of large genomic datasets.

Learn how Dijkstra's Algorithm efficiently finds shortest paths in various applications.

A look at how cycles in graphs impact computer science.

Learn how to enhance network efficiency and reduce costs in flow management.

A look into tet-volume, triangulation, and their relationship in geometry.

An overview of stream processing and the Diba framework for efficient data management.

A new method improves the grouping of related news articles efficiently.

A new model improves data tracking in Lattice Quantum Chromodynamics.

A new method to align knowledge graphs using advanced learning techniques.

Learn effective techniques for extracting structured information from unstructured data sources.

Explore the role and mechanics of graph databases in modern applications.

Learn how the Yannakakis algorithm streamlines data processing using tree decompositions.

Integrating RDF Knowledge Graphs to improve AI chatbox accuracy and reliability.

OntoMath 2.0 organizes mathematical knowledge for better access and use.

GLAM institutions face key challenges in making digital collections usable.

A new resource makes Australian parliamentary debates from 1998 to 2022 accessible for research.

An overview of Serbian language processing and its unique challenges.

Creating a hub for climate data to address changing weather patterns.

A method to enhance search access using narratives instead of keywords.

A new model enhances citation prediction using hierarchical graphs.

A platform for open sharing and peer feedback in scientific research.

Explore the dynamics and applications of stable matching in various fields.

A look into how stack and queue numbers impact graph organization.

An overview of stable matching and its practical uses in various fields.

This article discusses the issues of replicability in scientific research and machine learning algorithms.

Examining bent functions and their role in secure encryption systems.

Learn about interval-edge coloring and its implications in graph theory.

Explore how bounded twin-width influences graph properties, particularly chromatic numbers.

A look at the relationship between words and automata in symbol sequences.

The P-Set improves data management with flexible additions and removals.

This tool predicts performance and cost trade-offs across varying computing systems.

A new GPU-based approach speeds up detecting subsequence anomalies in time series.

A look at how cycles in graphs impact computer science.

A look at how to reach agreement in changing communication systems.

A new framework improves AI-generated content efficiency and user experience.

A method to predict job execution times in cloud environments.

Enhancing collaborative apps with the for-each operation for seamless user experience.

Explore recent TCAM developments, including efficient designs and energy-saving technologies.

Exploring the technical hurdles and advancements in quantum computing systems.

Using ISFETs enhances security for integrated circuits against reverse engineering.

Addressing security risks in advanced non-volatile memory technologies.

Exploring multi-core quantum computing and its impact on problem-solving speed.

Exploring the role of LSTM networks in improving quantum computing accuracy.

A new approach uses ReRAM to enhance finite state automata in machine learning systems.

A new architecture combines neural networks and security features using RRAM technology.

A fresh approach to sequence classification using Context-Free Grammars and OWL ontologies.

A look into history-deterministic timed automata and their significance in system verification.

This study examines counting behavior in linear RNNs and their limitations.

A look at the relationship between words and automata in symbol sequences.

A look at max-plus automata and their importance in system performance analysis.

Explore the LCS problem influenced by distance limitations in character selection.

A new method to analyze inter-case dependencies in business processes using Petri nets.

A review of recent algorithms for determining emptiness in regular languages and automata.

New method enhances color holography for realistic VR and AR experiences.

Introducing +msRNAer, a tool for better understanding COVID-19 spread.

A look into the significance and methods of modeling indoor spaces.

Physical models make biology more tangible and engaging for learners.

VOICE uses technology to improve public understanding of complex scientific concepts.

Techniques to enhance BRDF sampling and reduce variance in computer graphics.

HyperINR speeds up implicit neural representations for clearer scientific visualizations.

New techniques breathe fresh life into cherished old photos.

An overview of stream processing and the Diba framework for efficient data management.

A new method for faster and more efficient multiplication in technology.

A framework improves hardware design for faster, energy-saving image processing.

CMOS Image Sensors enable advanced imaging and processing, reshaping various industries.

Spade simplifies hardware development with a modern programming approach.

Explore key methods to enhance machine learning model training for better accuracy and efficiency.

This study focuses on improving cache memory performance in asymmetric multi-core processors.

New methods help estimate power consumption in FPGA designs, focusing on Lattice iCE40.

A look into how networks shape our world.

Learn how to effectively structure and format your academic documents.

Discover how AI tools can improve storytelling in D&D sessions.

A new system enhances topic modeling by involving users in refining results.

Examining how XR technology can influence mental health treatment and user experience.

A look at how to enhance writing assistants using a structured approach.

Enhancing understanding and teamwork in AutoML through artifacts and visualization.

Exploring how AI can enhance expository writing tasks for professionals.

A new approach enhances the efficiency of patient history collection using AI.

New methods enhance user engagement in video recommendation systems.

RankDFM improves search efficiency while delivering relevant results to users.

USR-LSH offers quick data handling while ensuring user privacy.

This study assesses the strengths and weaknesses of ChatGPT in conversational tasks.

A novel method enhances movie recommendations using large language models.

A look into improving personalized news recommendations through simpler models and methods.

Discussing poisoning attacks and defense strategies for Federated Recommender Systems.

Analyzing how signal angles and distances affect cellular performance.

This study presents methods to recover shuffled data labels effectively.

Hybrid relay selection enhances internet data transfer with RF and THz signals.

Exploring the importance of error correction in cryptography for data security.

Explore how linear codes ensure data integrity in communication.

Higher-order brain interactions reveal insights into complex information processing.

Introducing GACN, a method for filling missing data and improving classification accuracy.

A new method using RNNs for hypothesis testing in unknown environments.

Combining diverse logic systems to create innovative proof structures.

Evaluating inductive theorem provers with a comprehensive new benchmark of 30,000 problems.

A look into history-deterministic timed automata and their significance in system verification.

Methods for checking consistency in memory models of concurrent software.

Learn about the causes, detection, and prevention of deadlocks in software systems.

New methods improve efficiency of SAT solvers with parity constraints.

A look at max-plus automata and their importance in system performance analysis.

Examining the ties between logical proofs and computational systems within constructive modal logic.

This article discusses the role of machine learning in solving stochastic control and game theories.

Discover how machine learning improves brain-computer interfaces for better user experience.

A new framework for better data analysis and predictions.

Exploring AI's role in assessing lung scans for better patient diagnosis.

Using cultural insights to enhance hate speech detection methods.

Introducing an innovative approach for testing DNNs focusing on flexibility and effectiveness.

A deep dive into enhancing model prediction accuracy through NCP.

A new system enhances topic modeling by involving users in refining results.

Discover how local graph clustering simplifies data analysis in large networks.

Waywiser simplifies assessment of spatial models for reliable predictions.

A look into LU factorization and its importance in solving linear equations.

A look at methods improving nonlinear optimization under constraints.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

A new framework enhances geophysical studies through machine learning integration.

Researchers enhance simulation performance using GPUs for complex materials.

clotFoam transforms blood clot formation research through powerful simulations.

Explore the dynamics and applications of stable matching in various fields.

Exploring strategies for guiding diverse groups of agents effectively.

A new approach improves multi-agent pathfinding by utilizing highways in dynamic environments.

This study shows how language instructions improve AI behavior in games.

A new framework enhances understanding of human-driver interactions to improve autonomous vehicle safety.

A new approach integrating Bayesian Optimization with multi-agent systems for better teamwork.

A new method protects privacy while ensuring accurate consensus among agents in networks.

This article discusses how chaotic dynamics can enhance mobility models for self-driving vehicles.

Research improves machines' ability to locate objects that make sounds in videos.

New methods aim to enhance how models link sounds to visuals.

Introducing XGC-VQA for effective video quality evaluation across diverse content types.

A new method improves data transmission even with unstable internet connections.

This article discusses a systematic approach to music annotation.

A structured approach to music representation and performance analysis.

New model transforms sounds into clear images, bridging audio and visual information.

A novel approach to generate audio captions using pre-trained language models.

This article discusses the emergence of semantic communication for efficient data exchange.

Explore the role of digital twins and AR in improving network management strategies.

Wi-Fi 7 enhances performance for Augmented Reality through Multi-Link Operation.

Exploring the impact of transport protocols on Internet performance through buffer sizing.

Introducing GACN, a method for filling missing data and improving classification accuracy.

A new method improves data transmission even with unstable internet connections.

Exploring the balance between efficiency and performance in cellular networks.

META-CODE helps find communities in uncertain networks using node metadata and dynamic querying.

Deep-BIAS improves bias detection in algorithms using deep learning technology.

Exploring how brain functions can shape better AI systems.

This article discusses using DSMs to enhance algorithms for assignment problems.

A study on ElegansNet reveals insights into better learning models inspired by C. elegans.

Discover how HOTGP improves computer program generation through advanced techniques.

A new approach enhances single-layer perceptrons for complex tasks.

Lazy learning improves AI training by focusing on mistakes.

ARIA enhances quality and diversity in uncertain environments for QD algorithms.

Study focuses on improving numerical methods for low-speed gas flows.

This article discusses methods to enhance the accuracy of fluid flow simulations.

Examining how fluids interact in porous media, influencing oil recovery techniques.

A novel approach to solve the hyperbolic Monge-Ampère equation more effectively.

A new approach to optimize control in complex systems.

This article explores the adjugate matrix and its relationship with simpler matrices.

A look at how nonlinearity parameter imaging is changing ultrasound diagnostics.

PINNSim uses neural networks to improve efficiency in power system simulations.

A new framework for easier FPGA use in virtual environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

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.

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.

New representation improves predictions for HPC applications across various hardware systems.

A study on the efficiency of Java's execution methods.

Learn how to handle cold-start issues in serverless cloud services effectively.

This article discusses the importance of computational performance in concept drift detection.

A new approach improving performance in column-stores through hybrid materialization techniques.

Data preprocessing is key to efficient deep neural network training.

Innovative techniques for optimizing sparse matrices in high-performance computing.

New techniques improve DNN efficiency and robustness for small devices.

This method simplifies the integration of Python and C++ for scientists.

A new method improves selective image editing using user demonstrations and AI.

A unified approach to resource management and information flow in programming languages.

A new method to simplify programming communication and improve efficiency.

Learn how to prevent priority inversions in concurrent tasks.

Methods for checking consistency in memory models of concurrent software.

Learn about the causes, detection, and prevention of deadlocks in software systems.

A new system merges Datalog and equality saturation for better program analysis.

Affective robots help improve mental and physical wellbeing through emotional support.

Learn how to effectively structure and format your academic documents.

A new method improves self-driving cars' adaptability to varying road surfaces.

Mobile MoCap combines cameras and retroreflectors for improved tracking.

A method to handle uncertainty in robotic interactions with objects.

A new method teaches robots to write complex Japanese characters using expert demonstrations.

New features enhance AirSim for diverse simulation needs in various industries.

Research highlights the need for personalized interfaces in assistive robotic technology.

Learn how sparsification helps manage complex network systems efficiently.

A look into how networks shape our world.

This article discusses the emergence of semantic communication for efficient data exchange.

Discover how local graph clustering simplifies data analysis in large networks.

New methods enhance user engagement in video recommendation systems.

This study examines how users respond to bans from social media platforms.

A look at how radicalization spreads among political groups in Brazil.

A study on identifying fake news in Chinese social media amid the pandemic.

Introducing an innovative approach for testing DNNs focusing on flexibility and effectiveness.

This article explores software engineering practices in tech startups, highlighting unique challenges for machine learning companies.

Discover how ML enhances the CI process for software development.

Strategies to minimize human error impacts in software requirements engineering.

A new tool simplifies gathering API information from multiple online sources.

MUFIN presents a new method for automated bug fixing using self-supervised learning.

Code Critters combines fun and education to teach software testing through play.

A study on the effectiveness of automated security tools in decentralized finance.

This study reveals patterns in sperm whale sounds and their potential meanings.

Research improves machines' ability to locate objects that make sounds in videos.

This article examines two methods for improving sound reproduction quality.

Discover how music structures enhance our listening experience.

Exploring new methods for segmenting music structure and their implications.

A new approach to translating songs that aligns lyrics with melodies effectively.

This research looks at using adaptive music in DareFightingICE for player insights.

Researchers develop LIPSFUS dataset for better lip reading systems.

A fresh approach to sequence classification using Context-Free Grammars and OWL ontologies.

This article examines how ML and XAI improve symbolic computation methods.

New simulation methods enhance our understanding of spacecraft and debris interactions.