Results 231 to 240 of about 137,292 (318)
Adaptive neuro fuzzy inference system based multicrop yield prediction in the semi arid region of India. [PDF]
Borse K+3 more
europepmc +1 more source
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera+2 more
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan+4 more
wiley +1 more source
A merged fuzzy system and neural network for improving management method and strategy in scientific research and education. [PDF]
Kang W.
europepmc +1 more source
Signless Laplacian Energy of Operations on Intuitionistic Fuzzy Graphs
Obbu Ramesh+2 more
openalex +2 more sources
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan+6 more
wiley +1 more source
Some novel concepts of interval-valued q-rung orthopair fuzzy graphs and computational framework of fuzzy air conditioning system. [PDF]
Khan WA+5 more
europepmc +1 more source
Fixed Point Theorems in Intuitionistic Fuzzy Graph Metric Space
Mohamed Sadiki, A. Mohamed Ali
openalex +1 more source
Artificial Intelligence‐Driven Innovations in Hydrogen Storage Technology
This review presents a comprehensive overview of recent advancements in hydrogen storage technology, with a particular focus on the integration of high‐throughput screening and machine learning. It primarily covers solid‐state hydrogen storage materials, including metal hydrides, alloys, carbon‐based materials, metal‐organic frameworks, and zeolites ...
Yusong Ding+4 more
wiley +1 more source