Results 131 to 140 of about 137,292 (318)
Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method. [PDF]
Hassan N, Ahmad T, Zain NM, Awang SR.
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai+3 more
wiley +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang+5 more
wiley +1 more source
Fuzzy Preferences in the Graph Model for Conflict Resolution [PDF]
MA Bashar+2 more
openalex +1 more source
Permutation Graphs in Fuzzy and Neutrosophic Graphs
Graph theory is a fundamental branch of mathematics that examines networks composed of nodes (vertices) and connections (edges). This paper explores the concepts of permutation graphs within the frameworks of fuzzy, intuitionistic fuzzy, neutrosophic, and Turiyam Neutrosophic graphs, all of which handle uncertainty in graph structures.
openaire +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
6D object pose estimation is a critical component in computer vision domain. A deep bidirectional fusion network is developed, DBF‐Net, which achieves accurate 6D object pose estimation using a single RGB‐D image. DBF‐Net effectively extracts and fuses geometric and appearance features from input data.
Xuan Fan+5 more
wiley +1 more source
Joint graph cut and relative fuzzy connectedness image segmentation algorithm [PDF]
Krzysztof Chris Ciesielski+3 more
openalex +1 more source