Computer Science

Effective techniques to address noise in quantum computers ensure precision in calculations.

A study on generating meaningful follow-up questions to deepen understanding.

A novel approach enhances pronoun resolution using BERT and syntactic information.

A new method predicts brain age at a voxel level for better insights.

A new method leverages street-level images to create crop type maps efficiently.

A new approach improves language model performance through optimized weight rounding.

This article discusses trust dynamics in teams with humans and robots.

New methods enhance how robots mimic human movements, improving interaction.

A study on generating meaningful follow-up questions to deepen understanding.

New methods improve classification accuracy without labeled data.

A novel approach enhances pronoun resolution using BERT and syntactic information.

An overview of difficulties in discourse parsing and approaches to improve accuracy.

This research focuses on enhancing dialogue systems by integrating context and meaning in evaluations.

A new approach improves language model performance through optimized weight rounding.

A rich dataset of historical American newspapers for research and analysis.

A look into how LLMs perform on reasoning tasks compared to humans.

Learn about constant-depth circuits and their role in quantum memory systems.

A look into how defensive alliances function within signed networks.

Exploring the role of annihilators in polynomial maps and their implications.

A look into contextual grammars and their role in language creation.

A new algorithm improves decision-making with SMC in uncertain environments.

Exploring nonnegative matrices and their role in optimization and communication.

Research advances algorithms for finding irreducible factors of multivariate polynomials.

New techniques improve randomness extraction from polynomial sources, enhancing cryptographic security.

Introducing the Laminated Element Technique for improved material analysis.

How managerial responses in earnings calls affect stock prices.

New method speeds up uncertainty analysis while maintaining tensor grid benefits.

New framework boosts efficiency and accuracy in reduced-order modeling.

Discover how advanced simulators reshape trading strategies and market analysis.

Fin-Fact helps improve financial fact-checking to combat misinformation.

New models improve identification of Ponzi schemes in cryptocurrency.

This study presents an effective approach to analyze nonlinear rods in various applications.

A new method uses learning to enhance mesh quality in graphics and simulations.

An overview of geodesic and topological complexity in cube navigation.

A new approach to detecting malicious activities in cyber systems using modern data analysis.

This study explores the relationship between graphs, crossings, and signed permutations.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look into improved clustering methods using multi-swap local search.

This article reviews effective search strategies for different terrains and their implications for autonomous systems.

A method to separate two groups of points with limited lines.

Finding efficient ways to assign tasks based on volunteer preferences.

Examining learning methods for effective gameplay in uncertain environments.

This article examines how systems perform under faults using probabilistic masking.

Exploring methods to distribute goods fairly based on individual preferences.

Discover how agent cooperation enhances resource allocation and system performance.

Robots learn human goals through active inverse learning for safer interactions.

A new system improves avatar movement accuracy and resource management in virtual worlds.

A study on how LLMs make decisions in social dilemmas.

Using deep learning to detect damage on ancient steles for preservation.

A new model helps robots navigate indoor spaces effectively by understanding room layouts.

A new approach enhances human action recognition through multimodal data fusion.

SC-NeRF improves outdoor scene rendering using limited images.

SDLFormer combines advanced techniques for better MRI image quality and faster processing.

A new method predicts brain age at a voxel level for better insights.

A new method improves product recommendations using both visual and textual information.

A new method leverages street-level images to create crop type maps efficiently.

A study reveals gender bias in AI across different cultures.

A comprehensive analysis of MBTI personality types using 152 million tweets.

This project analyzes how two actions happen together in videos.

Exploring how race is defined in algorithmic fairness research.

Analyzing how recommendation systems shape our news consumption and the resulting fragmentation.

A new method to understand price spikes in electricity markets driven by renewable energy.

Fairness as a Service tackles bias in machine learning systems securely.

A new method improves model fairness and accuracy without extensive group data.

This article examines the effectiveness of quantum and classical techniques in integer factorization.

A simulation designed to study problem-solving in hardware reverse engineering tasks.

A look into the vulnerabilities of popular consumer drones, especially from DJI.

How transfer learning improves threat detection and privacy in cybersecurity.

A novel attack method reveals vulnerabilities in face verification technology.

A tool to help developers meet voice application guidelines.

Innovative deep learning models enhance DDoS attack detection and response.

New methods aim to protect speech privacy in audio monitoring systems.

Finding efficient ways to assign tasks based on volunteer preferences.

Exploring the role of submodular functions in random variables under negative dependence.

A look into improving hash table efficiency through innovative probing methods.

New quantum approach enhances routing efficiency in logistics.

New findings shed light on the efficiency of sparse matrix multiplication.

Learn effective methods for distributing items to prevent overload in systems.

Quantum techniques may enhance k-means clustering efficiency and performance.

A study reviewing different formulations for cutting shapes efficiently.

StructRecon integrates molecular data for clearer research insights.

New methods assess how research challenges existing knowledge.

A look into semiring semantics and Ehrenfeucht-Fraïssé games in database applications.

A new approach to manage cloud resources effectively and quickly.

A new framework ensures synthetic data answers are trustworthy for research.

BETULA enhances hierarchical clustering, making it faster and more efficient.

A look into the challenges and solutions of Big Data management.

A new approach to manage RDF data across edge devices efficiently.

New methods assess how research challenges existing knowledge.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

Exploring how citation patterns reveal true research impact beyond traditional metrics.

Open data enhances collaboration and knowledge sharing in mathematical research.

A new metric, Academic Midas Touch, measures research impact through citation analysis.

Novelty and diversity in research paper recommendations can foster interdisciplinary collaboration.

New approaches enhance the accessibility of cultural heritage resources for all users.

Introducing a new index for fair measurement of research journal impact.

Exploring guard strategies in bipartite graphs against attacks.

A novel method using information theory to identify communities in hypergraphs.

Learn effective methods for distributing items to prevent overload in systems.

A study reviewing different formulations for cutting shapes efficiently.

A new approach enhances the study of complex networks through efficient curvature computation.

Examining integer sequences using finite automata for quick proofs and insights.

Proposing six standards for effective graph clustering without distance information.

A new algorithm simplifies decision-making in online selection problems.

Research focuses on enhancing message safety during unpredictable network conditions.

This article compares Llama-2 and GPT-3 in generating HPC code.

An overview of GPU programming models for efficient computing.

New methods improve model training while protecting user data privacy.

A new memory management approach enhances performance of large language models.

Innovative method to analyze medical data while ensuring privacy protection.

This article discusses DRL techniques for improved scheduling in IoT environments.

MPI Advance enhances message passing for improved computing efficiency.

Hybrid systems combine analog and digital computing for better efficiency.

Learn about constant-depth circuits and their role in quantum memory systems.

This study improves SNN performance by factoring in axonal signal delays.

A look into how P2LSG enhances stochastic computing efficiency.

Analog computing offers unique advantages for real-time data processing and specialized tasks.

New method aims to reduce compilation times in quantum computing tasks.

Chaotic microresonators enhance decision-making in the Multi-Armed Bandit problem.

Examining the blend of classical and quantum methods in computing.

This article examines how systems perform under faults using probabilistic masking.

A look at how automata learning impacts various tech fields.

A look into contextual grammars and their role in language creation.

A look at automata that traverse input strings in both directions.

An overview of constituency parsing and M-monoid parsing's role in NLP.

An overview of quantum automata recognizing unary languages using novel methods.

Exploring the role of final sentential forms in language generation through CFGs.

Explore the unique features and implications of signed grammars in language generation.

Examining how designer intent shapes effective data communication.

A new method improves graphics processing for real-time applications.

A new method allows for detailed and dynamic human avatars.

MagiCapture simplifies high-quality portrait creation with few images.

A new method creates realistic gestures from raw speech audio.

Using generative painting to modernize 3D assets for improved visual appeal.

MolSieve helps researchers analyze complex molecular dynamics simulations efficiently.

New method improves surface extraction from neural unsigned distance fields.

Discover the role of compressed formats in enhancing AI performance.

A look into how P2LSG enhances stochastic computing efficiency.

A new approach enhances the HATS algorithm for efficient object classification.

This study examines the use of PIM systems to enhance homomorphic encryption performance.

C4CAM framework facilitates high-level programming of content-addressable memories.

Examines vulnerabilities in quantum computing reset processes and potential defenses.

CGRAs and Morpher offer efficient solutions for machine learning tasks in smart devices.

A method that speeds up convolution operations in deep neural networks.

A simulation designed to study problem-solving in hardware reverse engineering tasks.

This article discusses trust dynamics in teams with humans and robots.

A look at how visual markers link physical objects with virtual experiences.

A unique live music experience blending audience interaction and technology.

New method improves sensor placement for monitoring resident activities.

Examining how designer intent shapes effective data communication.

Understanding preferences for job recommendation explanations is vital for effective recruitment.

A new framework for drones improves search efficiency in emergency situations.

Research shows effective weight training using fewer relevant documents in data fusion.

A new method improves product recommendations using both visual and textual information.

Multimedia recommendation systems help users find tailored content in a digital world.

A comprehensive look at hallucination in AI and its impact on accuracy.

A unique live music experience blending audience interaction and technology.

Pixel retrieval offers precise image search by focusing on specific pixels.

Enhancing efficiency in systematic reviews through innovative query generation methods.

This project analyzes how two actions happen together in videos.

A new method for recovering messages in mixed signal environments.

New methods in sequence design enhance communication systems' performance and efficiency.

Reconfigurable intelligent surfaces improve UAV connectivity and reliability in various fields.

A low-cost ECG device can predict vascular aging and smoking habits effectively.

Improving matrix computations by tackling stragglers and enhancing privacy.

Exploring vulnerabilities and defense strategies in semantic communication systems.

Examining methods and concepts for safeguarding secret messages.

This article discusses methods for protecting user data in recommendation systems.

A novel technique enhances safety checks in random systems like robots and vehicles.

A structured approach to check system properties using Computation Tree Logic.

A look at computons and their role in separating control and data flows.

This paper discusses a new variant of intuitionistic modal logic, its structure, and applications.

Learn how multiple test results impact disease probability using two methods.

An overview of perfect paradefinite algebras and their role in logic.

A look into enabling preserving bisimilarity and its impact on process analysis.

This article examines how systems perform under faults using probabilistic masking.

New methods enhance ECG analysis for improved heart health diagnosis.

Using deep learning to detect damage on ancient steles for preservation.

Machine learning methods help detect unusual chemicals in exoplanet atmospheres.

SDLFormer combines advanced techniques for better MRI image quality and faster processing.

A look at two methods for high-dimensional regression analysis.

A new approach improves language model performance through optimized weight rounding.

Exploring how neural networks improve the accuracy of sound source localization.

New techniques improve model efficiency and prediction accuracy using quantized tensor networks.

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

A study reviewing different formulations for cutting shapes efficiently.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

New method enhances predictions using Gaussian processes on unknown data structures.

New algorithm enhances saving and loading processes for complex simulations.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

Exploring innovative approaches to enhance robotic pathfinding in complex environments.

This method simplifies choosing algorithms and settings for machine learning tasks.

Assessing efficiency in MARL algorithms through communication and training methods.

Examining how autonomous vehicles learn to drive together and compete effectively.

Introducing CRAMP, a method improving agent navigation in crowded environments.

This article discusses self-healing distributed optimization for effective network resilience.

Explore how multi-agent systems enhance manufacturing performance through real-time data management.

Managing EV charging to stabilize the power grid while ensuring driver privacy.

A method using audio and video for better deepfake detection.

A new method creates realistic gestures from raw speech audio.

A new method for generating gestures that match speech effectively.

Detecting subjectivity in news is vital for accurate information.

VEATIC provides a richer dataset for studying human emotions in context.

Assessing the realism and quality of text-to-video outputs.

A new method improves image compression for diverse image types.

This article discusses frame length bias in text-video retrieval and a new approach to address it.

A proposed system enhances mobile networks for multimedia content delivery.

Exploring the role of IAB technology in modern mobile connectivity.

Innovative deep learning models enhance DDoS attack detection and response.

Explore the impact of generative diffusion models in various fields, especially network optimization.

This work improves QUIC protocol to enhance multicast data delivery.

Examining the potential and obstacles of THz technology for mobile users.

A new method named Reminis enhances performance in 5G environments.

New cellular designs enhance connectivity for drones and ground users.

Exploring the relational bottleneck and its role in understanding abstract concepts.

Learn how data arrangements impact performance and the role of evolutionary algorithms.

Racing-CVGP enhances symbolic regression efficiency in discovering mathematical equations.

V-nets offer a new perspective on deep learning efficiency and performance.

This article examines the link between deep learning and renormalization group methods using the Ising model.

A study on parallelizing neural networks using the Go programming language.

Astrocytes enhance the performance and fault tolerance of Spiking Neural Networks.

Exploring how robot swarms navigate obstacles in unpredictable environments.

CECM enhances numerical integration by reducing point count and improving accuracy.

A new hybrid approach improves elasto-plastic problem analysis.

Generative models are transforming how shapes are designed and optimized across industries.

A new method for efficiently solving complex mathematical equations.

Learn techniques to simplify complex passive systems while maintaining key properties.

This research analyzes how certain heat equations lead to sudden temperature increases.

Researchers are using neural networks for efficient model order reduction.

A novel approach to solving differential equations using neural networks and orthogonal polynomials.

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 look into the advancements and challenges in modern storage systems.

Memory fragmentation affects computer performance, especially in demanding environments.

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.

Discover how DNA could change the future of data storage.

Discover the role of compressed formats in enhancing AI performance.

CGRAs and Morpher offer efficient solutions for machine learning tasks in smart devices.

A method that speeds up convolution operations in deep neural networks.

Learn how data arrangements impact performance and the role of evolutionary algorithms.

A new approach enhances the study of complex networks through efficient curvature computation.

Research on predicting training time for machine learning models using FPTC.

This study explores new ways to assess blockchain applications using machine learning.

A novel approach estimates application-level power use without intrusive methods.

This article compares Llama-2 and GPT-3 in generating HPC code.

LLMs improve software performance and efficiency in code optimization.

Exploring how data types influence programming and code correctness.

Latte streamlines tracking of object references, reducing complexity for developers.

An overview of GPU programming models for efficient computing.

Introducing a method to create precise and diverse bug datasets for software improvement.

A new approach enhances code navigation for software language specifications online.

Discover a new method for working with joint distributions in probabilistic programming.

A new model helps robots navigate indoor spaces effectively by understanding room layouts.

CitDet dataset aids farmers in detecting and estimating citrus yields affected by HLB.

Exploring MAPS for improved motion planning in robotics.

This article discusses trust dynamics in teams with humans and robots.

New methods enhance how robots mimic human movements, improving interaction.

New tactile sensors enhance robot handling capabilities for complex materials.

A new method helps robots learn safely in uncertain environments.

STAR-loc dataset aids researchers in precise object location detection with various sensors.

A new framework improves hyperedge prediction accuracy using context-aware aggregation and self-supervised learning.

A novel method using information theory to identify communities in hypergraphs.

A look into how defensive alliances function within signed networks.

Improving the analysis of social media posts through text and image integration.

This article examines how social media can reveal personality traits through user data.

A study examining political divides in Pakistan using Twitter data from 2018 to 2022.

Research reveals limits of MCMC methods in connecting bipartite graphs effectively.

New algorithm MuLaN enhances analysis of multilayer networks in biology and medicine.

This article compares Llama-2 and GPT-3 in generating HPC code.

A new approach enhances engineers' confidence in AI predictions during incidents.

A look into how developers interact with GitHub Copilot and its features.

Latte streamlines tracking of object references, reducing complexity for developers.

Addressing common issues in deep learning testing to improve model reliability.

Introducing a method to create precise and diverse bug datasets for software improvement.

This study examines the issues in moving ML libraries across different hardware types.

A tool to help programmers understand Rust's complex error messages.

Exploring how neural networks improve the accuracy of sound source localization.

Researchers enhance automatic speech recognition for Punjabi using innovative self-training techniques.

New model improves speech recognition in noisy environments by focusing on a single speaker.

New methods aim to protect speech privacy in audio monitoring systems.

A new dataset enhances speech synthesis by capturing emotional expression without relying on text.

New strategies to enhance training stability for music pitch classification.

Phoneme Hallucinator transforms voice conversion with limited data for clearer outputs.

A new method creates realistic gestures from raw speech audio.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

JABBA enhances time series data analysis through consistent symbols and parallel processing.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

Algebraic differentiators excel in estimating signal changes across various fields.

This study examines sample complexity in learning DDAGs and their connections over time.

Learn about P2P energy trading and its benefits for consumers and the environment.

Exploring innovative approaches to enhance robotic pathfinding in complex environments.

Examining travel time estimation in Mobility-on-Demand systems and its impact.

A new algorithm improves vehicle distribution for on-demand ride-pooling services.

Innovative approach to secure communications in resource-limited IoT devices.

Improving the design of wave energy converters can enhance power generation from ocean waves.