Computer Science

Exploring new methods for retrieving 3D medical images effectively.

Examining how language models perceive implied meanings in Korean discourse.

A new method improves food tracking accuracy using 3D models and 2D images.

This article discusses the impact of LLMs on e-commerce fairness.

AI professionals share their views on Trustworthy AI and its challenges.

A study on analyzing viewer reactions to short video content.

A new model improves missing data handling in time series analysis.

New method helps chatbots remember past knowledge while learning new tasks.

New benchmark assesses toxicity in large language models across various languages.

Examining how language models perceive implied meanings in Korean discourse.

Discover the latest text collections available for language modeling in Serbian and Serbo-Croatian.

A new parser improves the clarity of clinical notes through structured representations.

This article discusses the impact of LLMs on e-commerce fairness.

New metrics improve large language models' effectiveness in education.

A study on analyzing viewer reactions to short video content.

Learn how prompts shape the interactions with Large Language Models for better results.

Learn about Hilbert functions and their role in randomness extraction.

New quantum algorithms improve kinetic energy estimation in complex mechanical systems.

Explore the nature, types, and real-world uses of constraint satisfaction problems.

Exploring bounded uniform and small-bias distributions in pseudorandomness research.

New algorithm improves twisted conjugacy problem solutions in odd dihedral Artin groups.

A look into the challenges and solutions of the 2-means clustering problem.

This article highlights the difficulties in circuit extraction and diagram comparison in ZH calculus.

Examining K-Cores and degeneracy in graph streaming reveals significant complexity.

A new model helps predict chemical reactions using minimal data efficiently.

A modern approach to predictive maintenance for packaging machines in manufacturing.

A study on using deep learning models for forecasting crucial events.

Exploring how autonomous vehicles can safely integrate into busy airspace.

Researchers use deep learning to classify unique serotonergic neurons in the brain.

A methodical approach to minimize uncertainties in aircraft design through simulations and experiments.

Aiming for efficient energy management through smart grids and new technologies.

A look into how materials deform and strengthen at smaller scales.

Free sets help in arranging planar graphs without edge crossings.

A look into the challenges and solutions of the 2-means clustering problem.

A new framework blends TDA and optimal transport for matching data structures.

New method enhances efficiency in 3D printing of lattice structures.

New methods improve how we analyze complex graph data structures.

This study examines the complexities of guarding polygons with visibility restrictions.

Learn how spanners can maintain distance accuracy despite edge failures.

Investigating efficient methods for perfect matching in geometric settings.

Examining how memory impacts decision-making in incomplete information games.

Analyzing how ranking functions affect content visibility for users and publishers.

New methods for UAVs enhance data collection by minimizing Age of Information.

Analyzing robust methods for fair allocations in cooperative optimization games.

Agents make choices in a multi-agent setting using predictions for better outcomes.

Examining how companies can share predictions to improve outcomes.

A look at how hiring practices impact workers and the economy.

This paper presents Bayesian-CFR, enhancing decision-making in complex games with incomplete information.

Exploring how drones can land on ships using image-based control systems.

A new metric for assessing photorealism in AI-generated images.

Exploring new methods for retrieving 3D medical images effectively.

A novel approach improves oxygen level assessment in sleep-related disorders using OCTA.

RobustMVS improves 3D reconstruction by enhancing model generalization.

A new method improves food tracking accuracy using 3D models and 2D images.

This study examines the accuracy of PPG in blood pressure estimation compared to traditional methods.

A study on analyzing viewer reactions to short video content.

Examining how privacy norms shape information sharing in our connected world.

This article discusses the impact of LLMs on e-commerce fairness.

AI professionals share their views on Trustworthy AI and its challenges.

This article examines how employees view the GDPR and its impact on privacy.

This article discusses the importance of fairness in machine learning predictions.

A spatial analysis of Internet performance highlights access disparities in Chicago.

Exploring the impact of smart cameras on privacy and relationships.

This approach connects vaccine messaging with public beliefs to reduce hesitancy.

A new method to enhance privacy in digital information retrieval.

QUIC improves online communication with speed and security.

A new method to enhance user privacy during Wi-Fi connections.

A novel method that protects medical images in the cloud using advanced quantum techniques.

A new training method enhances model safety against universal attacks.

Learn how to secure smart contracts against reentrancy risks.

A new approach combines privacy protections with contextual bandit learning.

Cybersecurity requires diverse insights to tackle modern challenges effectively.

This paper presents new algorithms for managing interval selection in continuous data streams.

Explore the significance of tree-packing in computer science and its applications.

A new adaptive filter for efficient data management.

Developing algorithms for effective triangle sampling in graph data streams.

Learn how random projections aid in analyzing complex relationships in large data sets.

A strategy to protect sensitive connections in graph data while releasing useful information.

A framework to assess graph containers and their performance in algorithms.

A new approach to ensure fairness in algorithmic decision-making processes.

New methods improve accuracy in join size estimation while protecting sensitive data.

A look at the CAP principle and its impact on large language models.

Combining LLMs with knowledge graphs enhances answer accuracy in data systems.

ExES sheds light on expert search and team formation system decisions.

A framework for effective object-centric event logs management.

Quantum databases may reshape data management through enhanced efficiency and security.

RaBitQ offers enhanced accuracy and speed for high-dimensional data searches.

GMASK offers a flexible solution for approximate similarity search across various datasets.

A method to create machine-readable data before publication to improve research efficiency.

A new web application aids reintegration for those released from prison.

Study assesses representation of biomedical topics in science maps.

Exploring the role of microservices in knowledge discovery for patent applications.

Discover how automated methods enhance the identification of valuable datasets from government portals.

A look at how databases categorize published research materials.

A study on how new ideas transform astronomical research through technology and collaboration.

A new system simplifies citation management for preprints, enhancing visibility and collaboration.

A deep dive into rainbow saturation numbers and edge-coloring challenges in graph theory.

Explore the fundamentals and applications of graph theory in various fields.

New concepts in graph width enhance analysis and applications in various fields.

Free sets help in arranging planar graphs without edge crossings.

A look into language patterns and their density in shift spaces.

A new approach to finding independent sets in graphs using any starting configuration.

Exploring the link between soft happy colouring and community detection in networks.

The Identity and Group Problems shape our understanding of matrix structures.

A new method for detecting vehicle misbehavior while protecting privacy.

Smart roadside infrastructure enhances safety and efficiency for self-driving cars.

New methods improve efficiency in identifying communities within evolving graphs.

A new approach enhances intrusion detection in decentralized systems.

Examining zero-delay cycles and coordination strategies for efficient distributed systems.

A new system improves GPU checkpointing and restoration for enhanced performance.

EdgeLoc combines traditional and modern methods for better vehicle location tracking.

CDC-MMPG framework enhances AI personalization and efficiency for smart devices.

A new photonic reservoir computer enhances predictions using optical fibers and Rayleigh backscattering.

Learn how particles pass through barriers in quantum physics.

Learn how technology shapes sustainable business choices for a better future.

Effective strategies for distributing quantum entanglement in advanced optical networks.

Exploring Wireless Network-on-Chip and its potential with Time Reversal technology.

Exploring how autonomous vehicles can safely integrate into busy airspace.

ClimODE combines machine learning and physics for improved weather predictions.

TNGD combines digital and analog systems for efficient AI model training.

A new approach to model timing in complex systems.

Exploring RNCs and their role in language processing through identity elements.

Exploring the efficiency of jumping automata and their cost measures.

The Identity and Group Problems shape our understanding of matrix structures.

Exploring bi-reachability challenges in Petri nets enhanced with data values.

A look at how UHAT models process data sequences effectively.

State space models offer efficient processing in natural language tasks, challenging traditional transformers.

Learn how game semantics clarifies program functions through interactive models.

Analogist combines visual and text prompts for efficient image processing tasks.

New methods improve fluid behavior simulation for various applications.

A new method enhances character-environment interaction in animation.

Differential walk on spheres offers efficient solutions for complex shape analysis.

A breakthrough in 3D avatar customization using layered technology.

This paper presents new sampling methods for better generative model performance.

New methods improve realism in computer graphics light rendering.

A new system speeds up and simplifies the 3D modeling process.

Learn how the Mess framework benchmarks and simulates memory systems for better performance.

A new method using neural networks improves optical communication performance.

A novel hardware accelerator enhances data processing in deep learning networks.

CXL memory boosts capacity and efficiency for demanding applications.

Examining the risks facing TEEs due to evolving attack methods.

New method speeds up Ising model simulations using advanced computing technology.

Efficient execution of transformer models on an open-source RISC-V platform.

A look at AIMC and DIMC for machine learning tasks.

A new approach using reinforcement learning for improving user interface adaptability.

Learn how models can help explain heart health concepts.

A new framework enhances user understanding of AI decisions.

Exploring effective collaboration methods between humans and AI systems.

A look into player communities and experiences in Wurm Online using the go-along method.

An overview of how drones are changing firefighting practices.

Exploring the impact of smart cameras on privacy and relationships.

This study assesses saliency methods in NLP through human evaluation.

Exploring new methods for retrieving 3D medical images effectively.

A new method to enhance privacy in digital information retrieval.

A new model enhances the identification of product attributes and values in online listings.

AdVance improves forecasting accuracy for online advertising campaigns.

New methods aim to improve machine accuracy in answering financial questions.

A study on improving user engagement by managing recommendation fatigue.

Explore RapidIn's role in analyzing training data effects on language model outputs.

Combining LLMs with knowledge graphs enhances answer accuracy in data systems.

OTFS modulation is changing the landscape of wireless communication with improved performance.

Innovative surfaces improve signal performance in wireless systems.

A new approach simplifies verifying quantum states with fewer measurements.

New technologies improve energy efficiency and communication in IoT devices.

This article discusses methods to enhance wireless network performance for users at the cell edges.

Strategies for improving performance in wireless networks for users at the edges.

Optimizing beam management through site-specific alignment improves communication efficiency in 5G networks.

A new approach improves security for networks using high-altitude platforms.

A new method simplifies the complexity of infinite-state games for effective system design.

A study on inquisitive logic's model checking complexity.

Exploring the links between ribbon combinatory algebras and computational logic.

Explore the fundamentals and applications of graph theory in various fields.

This article presents efficient techniques for using first-order logic in verifying systems.

This paper investigates new problems in affine continuous VASS models.

A look into graphs, their properties, and their role in computer science.

A new method improves software checking using Operator Precedence Languages and SMT.

New methods improve analysis and forecasting of atmospheric chemistry data.

A new method improves approximations in Bayesian statistics for complex data analysis.

New method improves neural networks' performance against adversarial attacks.

A new training method enhances model safety against universal attacks.

Innovative method combines deep learning and advanced numerical techniques for solving conservation laws.

A new parser improves the clarity of clinical notes through structured representations.

A new method tackles forgetting and data shifts in machine learning models.

A new method improves food tracking accuracy using 3D models and 2D images.

Research shows effective use of high-level languages for large integer operations on GPUs.

New algorithms enhance feature selection speed and accuracy in statistical models.

Revolutionizing the way we solve optimization challenges in multiple fields.

A computer program simulating fluid movement in porous materials for various research fields.

A look at modern methods in engineering design for efficiency and performance.

Hiperwalk aids researchers in simulating quantum walks on complex graphs, enhancing quantum studies.

A user-friendly tool for building Petri Nets and simulating complex systems.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

This article discusses communication strategies for cyber-physical systems, focusing on pull and push methods.

Explore the role of Informational Boundary Spanners in crisis communication.

This article examines the methods for creating safe autonomous vehicles.

Agents make choices in a multi-agent setting using predictions for better outcomes.

Gridt offers a unique system for effective group communication and decision-making.

Examining how companies can share predictions to improve outcomes.

Exploring how autonomous vehicles can safely integrate into busy airspace.

Exploring how machines can learn from each other through distributed continual learning.

A novel method that protects medical images in the cloud using advanced quantum techniques.

A new method improves food tracking accuracy using 3D models and 2D images.

This study shows how context improves machine understanding of images and questions.

A new audio codec offering high-quality compression and rich semantic content.

A study presents a new method for creating synchronized talking face videos.

Explore how large language models enhance creativity through multimedia generation.

Exploring the benefits of immersive 3D sketching for architects and designers.

Introducing a model that generates synchronized audio and video with mixed noise levels.

Study reveals how attackers estimate network function capacities before launching DDoS attacks.

QUIC improves online communication with speed and security.

A new method to enhance user privacy during Wi-Fi connections.

Research explores efficient task offloading in 5G networks with MEC and VF systems.

A look into how immersive telepresence can improve video conferencing.

Memento enhances video streaming performance through targeted sample selection strategies.

A spatial analysis of Internet performance highlights access disparities in Chicago.

A new system enhances traffic monitoring accuracy and efficiency for network operators.

New techniques enhance reliability and simplicity in genetic programming models.

A novel approach to influence maximization in complex networks.

A new method for creating diverse and efficient architecture designs.

A novel approach for tackling nonlinear optimization under fuzzy conditions.

Safe CMA-ES optimizes solutions while prioritizing safety across various fields.

Exploring RNCs and their role in language processing through identity elements.

A new method enhances search efficiency for multi-objective optimization challenges.

A look into how compositionality connects language, thought, and AI.

Innovative method combines deep learning and advanced numerical techniques for solving conservation laws.

A new method improves efficiency and accuracy in solving complex reaction-diffusion equations.

This article examines Riemannian optimization's role in enhancing the Hartree-Fock method.

This article discusses the benefits of hybrid high-order methods with geometric multigrid for solving linear systems.

Exploring tensor neural networks to improve solutions in complex multiscale scenarios.

Discover a powerful solver for tackling complex nonlinear equations in various fields.

Learn how simpler functions can help analyze complex data effectively.

Combining scattered and regular nodes improves accuracy in complex problem solving.

A new system improves GPU checkpointing and restoration for enhanced performance.

ROSfs transforms data sharing among robots for enhanced teamwork.

A study on memory allocators and their impact on embedded system performance.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Optimizing memory management for better performance in embedded systems.

A new model that helps cloud applications use serverless resources effectively.

A new system improves cloud performance and reduces costs by combining VMs and FaaS.

Exploring Rust's role in enhancing OS security and reliability.

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.

A look into how queuing systems can improve efficiency.

New enhancements to BIT1 improve plasma simulation performance using advanced computing techniques.

CXL memory boosts capacity and efficiency for demanding applications.

A flexible framework improves device placement in AI models for better performance.

A new platform enhancing data processing using smart NICs.

This study assesses GPU benefits for CFD simulations in terms of speed, power, and costs.

This article examines how data arrangement impacts program speed and efficiency.

Examining the security challenges and solutions for RIC in Open RAN networks.

Using games to represent complex quantum computations and information flow.

Learn how predictive monitoring helps find bugs early in software development.

An overview of the Relational Machine Calculus and its key features.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

This article discusses the verification of lock-free skiplists in concurrent systems.

This paper discusses securing smart contracts through a type system focused on integrity.

Exploring how IR enhances static analysis tools and software quality.

GeckoGraph simplifies the understanding of polymorphic types through visual representation.

Exploring how drones can land on ships using image-based control systems.

A new drone system improves safety and efficiency in infrastructure inspections.

Combining simulation training and human feedback to enhance robot skills.

A new method improves robot training using real-world data.

Using natural language to improve robot learning from simulations to real-world tasks.

YORI automates cooking tasks, making meal preparation easier and more efficient.

Learn how robots can make better decisions while ensuring human safety.

A novel approach to enhance motion system performance through data-driven tuning methods.

A novel approach to influence maximization in complex networks.

Learn how random projections aid in analyzing complex relationships in large data sets.

Analyzing the reliability of health claims on social media platforms.

New methods improve efficiency in identifying communities within evolving graphs.

New polynomial filters improve graph analysis performance across various applications.

A look at degree correlation and rewiring techniques in networks.

A new method improves accuracy in studying network influences.

Gridt offers a unique system for effective group communication and decision-making.

BARO offers advanced solutions for detecting issues in microservice systems.

Introducing Themis, an automated tool for fault detection in deep learning systems.

A new approach using reinforcement learning for improving user interface adaptability.

Examining how small changes improve software quality and maintenance.

AI professionals share their views on Trustworthy AI and its challenges.

Highlighting the vital role of infrastructure engineers in scientific research.

This article discusses the need for better evaluation practices in fuzzing research.

Learn how LLMs enhance the efficiency of web-form testing.

Exploring recent developments in AI tools for music creation.

A new approach enhances music tagging and retrieval by combining general language and music terms.

FlashSpeech offers rapid, high-quality speech synthesis solutions.

A new method improves detection of audio deepfakes using similar sample references.

This study analyzes sound signals to measure virtuosity among electric guitarists.

Research shows promise in using speech analysis for identifying Parkinson's disease early.

This study examines the weaknesses of SER models against adversarial attacks across languages.

SEANet improves speaker isolation by reducing noise in audio processing.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A new method to improve predictive models using uncertain data.

A clear look into chemical reactions and their simulations, from basics to applications.

Combining NIDS with Neurosymbolic AI improves threat detection and system understanding.

A fresh approach to AI combines language models with symbolic programs for better interpretability.

This article presents a method to certify feasibility in semidefinite programming.

Exploring how drones can land on ships using image-based control systems.

A new approach to enhance coordination of virtual inertia in power systems.

A new drone system improves safety and efficiency in infrastructure inspections.

A fresh method enhances hydrogen production efficiency and sustainability.

New methods improve reachability in high-dimensional systems across various fields.

Learn how control systems improve hydrogen fuel cell efficiency and performance.

A new method improves robot training using real-world data.

Strategies for optimizing systems by minimizing regret in uncertain environments.