Computer Science

Examining security risks of DNN executables against bit-flip attacks.

ImageTo360 improves LiDAR segmentation using minimal labeled data from camera images.

A look at tools that help identify vague and subjective language in texts.

JOADAA model improves action anticipation and online detection in real-time scenarios.

LEyes simplifies the creation of synthetic eye images for improved tracking accuracy.

A new method ensures reliable explanations for DRL agent decisions.

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

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

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

A method to improve recognition of named entities in Chinese search queries.

A competition exploring code-switching between Guarani and Spanish.

A look at tools that help identify vague and subjective language in texts.

Examining active learning methods for improving PLM ranker training under budget constraints.

A method to assess how media outlets characterize public figures.

This study examines how content reduction affects information density in lengthy texts.

Investigating unexpected shifts in language model behavior during training.

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.

A look into how quantum circuits compute and their limitations.

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.

Introducing Importance-aware Co-Teaching for enhanced design optimization.

A novel method for improving design optimization using multiple models.

Analyzing causal relationships is key for accurate energy consumption predictions in building design.

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.

A method to compare smooth curves in various applications.

A study on upward point-set embeddings in directed graphs with special focus on bends.

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.

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

This research uses AI to enhance detection of photons in particle physics.

ImageTo360 improves LiDAR segmentation using minimal labeled data from camera images.

A system enhances data collection and analysis for Antarctic krill research.

JOADAA model improves action anticipation and online detection in real-time scenarios.

LEyes simplifies the creation of synthetic eye images for improved tracking accuracy.

Using machine learning to predict which video segments viewers replay the most.

New ultrasound methods improve breast cancer detection and diagnostic efficiency.

Introducing POCON, a new method for continual unsupervised learning.

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.

A method to address privacy and fairness concerns in machine learning.

Explore how Markov models analyze student performance and behavior over time.

A new approach to improving algorithmic recourse over time and competition.

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

Learn how PUFs improve information security through unique responses.

Examining methods and concepts for safeguarding secret messages.

Examining security risks of DNN executables against bit-flip attacks.

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

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

Examine the risks backdoor attacks pose to natural language processing systems.

CToMP offers a new way to protect unmanned systems from memory corruption attacks.

New methods for preserving privacy while sharing information among multiple groups.

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.

Learn how bipartite treewidth aids in solving complex graph problems efficiently.

A new method for effectively representing and manipulating sparse graphs.

A new method speeds up triangle counting in graphs significantly.

Exploring the intersection of art and math in graph threading.

A study on learning Gaussian mixtures while protecting individual data privacy.

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.

This article discusses a framework for managing privacy in multi-analyst scenarios.

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.

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.

A model combines deep learning and rule-based systems for clear decision-making.

Hyperbolic neural networks enhance tree structure representation in data science.

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.

Learn how session types ensure safe communication in software systems.

FedDIP optimizes communication in federated learning through dynamic pruning and regularization.

MPCGPU speeds up control in robotics using GPUs for enhanced precision.

A new approach to improve autoscaling for serverless functions using reinforcement learning.

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.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

Underlayer networks improve communication and efficiency in modern manufacturing.

This study connects presence and reaction time in Mixed Reality.

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.

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.

A look into improving human motion generation from text descriptions.

A new method improves data visualization with minimal memory use.

A new approach to surface modeling using neural networks.

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.

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

A new method enhances deep learning models on FPGAs for faster processing.

A new hybrid model improves image quality using quantum and classical methods.

A new compiler boosts CGRA capabilities for diverse software applications.

Using large language models to streamline hardware design verification processes.

LEyes simplifies the creation of synthetic eye images for improved tracking accuracy.

A new method for generating gestures that match speech effectively.

Exploring how robots can support creativity in older adults.

A new audio attack method poses risks to voice-controlled devices.

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

A new framework aims to clarify AI decision-making for humans.

Examining Ukraine's use of memes for wartime communication on social media.

Study reveals how removal explanations boost user participation on social media.

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

A method to improve recognition of named entities in Chinese search queries.

Examining active learning methods for improving PLM ranker training under budget constraints.

A method to assess how media outlets characterize public figures.

A framework to detect log anomalies by analyzing relationships among events.

A new framework for efficient multilingual résumé parsing in hiring processes.

A new method for training conversational retrieval systems with limited data.

iHAS improves predictions and efficiency in recommender systems through tailored dimension selection.

Examining methods and concepts for safeguarding secret messages.

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

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

New cellular designs enhance connectivity for drones and ground users.

New methods for creating perfect sequences improve communication systems.

Learn how PAC codes improve data transmission efficiency.

Exploring smooth min-entropy's impact on secure quantum communications.

Combining visual data with wireless tech to improve beam training efficiency.

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.

This paper connects parallel pushdown automata with commutative context-free grammars.

This article presents a type system for managing locks in programming.

A look at cancellation properties in probabilistic systems and their implications.

The decline of SOS research prompts a look at its future prospects.

This study examines advanced methods to predict ED crowding and enhance patient care.

Learn how PUFs improve information security through unique responses.

New models improve how machines remember and generalize data.

PIBI-Nets simplify PDE solving using boundary data, improving efficiency and accuracy.

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

A look at how Random Forests estimate prediction accuracy for better data classification.

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

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

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.

A novel approach improves wave simulation in irregular landscapes for better predictions.

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.

New evaluation methods for large language models in healthcare.

New AI methods enhance air combat training with hierarchical decision-making.

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 new method improves how tech detects human behavior in group settings.

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

New cellular designs enhance connectivity for drones and ground users.

Explore how MAC and IPv6 addresses are visualized for better understanding.

A radar-based system improves detection and identification of small drones for safety.

RIFL enhances communication speed and reliability in modern data centers.

This article discusses new methods for improving task offloading in self-driving cars.

New architecture enhances low-latency communication in cellular networks using programmable data planes.

Learn how Wireless Sensor Networks can enhance home monitoring and automation.

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.

Research delves into how AI interprets fairness and morality in language.

Researching fluid movement in porous materials aids geothermal energy and waste management.

Innovative techniques improve wave simulation in complex poroelastic materials.

A new model improves the recovery of sparse signals in noisy environments.

PIBI-Nets simplify PDE solving using boundary data, improving efficiency and accuracy.

Exploring QRMs for improved data analysis in real-world applications.

This article discusses applying machine learning to discrete field theories in physics.

This work enhances design approaches for fluid-structure interaction problems involving significant deformations.

A new numerical scheme improves SIS model accuracy for disease dynamics.

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.

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.

A clear look at queueing networks and their significance in various systems.

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

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

CRIL combines reversibility and concurrency for efficient programming.

This article presents a type system for managing locks in programming.

The decline of SOS research prompts a look at its future prospects.

Learn how session types ensure safe communication in software systems.

Timed Rebeca models asynchronous systems with time-sensitive message handling.

Learn about code generation, optimization techniques, and their importance in programming.

Exploring sonar technology to improve landmark detection for better robotic navigation.

This model analyzes human motion without prior knowledge or labels.

Exploring how fabrics enhance robotic movement and learning.

A new method improves data collection for unmanned vehicles in changing environments.

Robots can now search for items using detailed language instructions more effectively.

New method improves predictions of human movement for robots and smart vehicles.

A new method helps robots jump accurately over uneven terrain more effectively.

A new method enhances how robots identify obstacles and navigate environments.

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.

Examining Ukraine's use of memes for wartime communication on social media.

Examines how recommendation systems shape user perspectives and public discussions.

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

CRIL combines reversibility and concurrency for efficient programming.

Timed Rebeca models asynchronous systems with time-sensitive message handling.

A new system enhances the diagnosis of outages in cloud services using data.

A new method enhances API suggestions to support software development.

A new approach to fixing compilation errors with minimal code changes.

Learn how program variants can improve WebAssembly security against vulnerabilities.

A new method improves automated test generation by focusing on key coverage goals.

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.

Enhancing hybrid ASR systems for bilingual speech using grapheme units.

A new model improves speech and text alignment for better automatic recognition.

Lip2Vec enhances visual speech recognition using fewer labeled data.

New methods enhance accuracy and speed in speech recognition systems.

O-1 improves speech recognition by optimizing self-training methods.

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.

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.

New methods offer better accuracy in solving parametric eigenvalue problems across various fields.

Offshore microgrids enhance energy supply and fresh water access on islands.

A new approach to improve autoscaling for serverless functions using reinforcement learning.

Examining the limitations of state-space algorithms in understanding system interactions.