Results 261 to 270 of about 164,645 (346)

A COMPARISON OF GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF THE MERKEZ AND OVACIK DISTRICTS (KARABUK, NW TURKIYE) BY FREQUENCY RATIO AND FUZZY INFERENCE SYSTEM METHODS

Deniz Arca
openalex   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Optimization of Canned Talang Queenfish Color Sterilized by Rotary Retort: Storage Stability, Artificial Intelligence-Adaptive Neuro Fuzzy Inference Systems Modeling TBA Based on Color Attributes. [PDF]

Food Sci Nutr
Al-Mtury AAA, Al-Hilphy AR, Altemimi AB, Ruan Z, Al-Shatty SM, Hesarinejad MA, Abedelmaksoud TG.   +6 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
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, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system. [PDF]

Sci Rep
Bhayo MA, Laghari JA, Aljaidi M, Koondhar MA, El-Sehiemy RA, Alkoradees AF, Alaas ZM.   +6 more
europepmc   +1 more source

Fuzzy Inference System Tsukamoto Penentuan Nilai Reward yang Diterima Karyawan

, 2018
Yogi Primadasa, Alfiarini Alfiarini
openalex   +2 more sources

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
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, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning. [PDF]

Front Artif Intell
Cisternas Jiménez E, Yin FF.
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Flood Vulnerability Mapping in Cepu Subdistrict Using Mamdani Fuzzy Inference System for Disaster Risk Reduction

Joko Handoyo, Anton Yudhana, Sunardi Sunardi   +2 more
openalex   +2 more sources