Results 201 to 210 of about 190,933 (296)

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

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

Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network. [PDF]

Sensors (Basel), 2020
de Campos Souza PV, Lughofer E.
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

Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm.

Comput Intell Neurosci, 2021
Liu B.
europepmc   +1 more source

Resolution of generalized tonic seizures following focal ablative or resective surgery

Epileptic Disorders, EarlyView.
Abstract Objective Focal brain lesions may underlie generalized tonic seizures, as seen in Lennox–Gastaut syndrome, by engaging bilateral neural networks. However, this seizure type is often not considered surgically remediable. Here, we describe the resolution of apparent electroclinically classic generalized tonic seizures in children originating ...
Sem L. Kampman, Itay Tokatly Latzer, Aaron E. L. Warren, Jurriaan M. Peters   +3 more
wiley   +1 more source

Functionality of symptoms and interpersonal communication in home video recordings of functional/dissociative versus epileptic seizures

Epilepsia, EarlyView.
Abstract Objective Conceptualizing functional/dissociative seizures (FDS) as resulting from dissociation, or conversion, we hypothesized that, compared to epileptic seizures (ES), FDS should carry more symbolic or communicative content and that this would allow observers to distinguish FDS from ES.
Nayrin Dissouky, Klara Kochs, Robert Daniel Nass, Tobias Baumgartner, Attila Rácz, Rainer Surges, Markus Reuber, Juri‐Alexander Witt, Christoph Helmstaedter   +8 more
wiley   +1 more source

Online Tuning of PID Controller Using a Multilayer Fuzzy Neural Network Design for Quadcopter Attitude Tracking Control. [PDF]

Front Neurorobot, 2020
Park D, Le TL, Quynh NV, Long NK, Hong SK.   +4 more
europepmc   +1 more source

Cognition in adults with bottom‐of‐sulcus dysplasia and the consequences of focal resection

Epilepsia, EarlyView.
Abstract Objective To determine whether there are cognitive consequences of bottom‐of‐sulcus dysplasia (BOSD) when assessed as adults and whether focal resection of these lesions leads to change in cognition. Methods We studied 42 adults, of whom 39 underwent focal resection targeting the lesion.
Carmen J. Zheng, David Weintrob, Marie O'Shea, Graeme D. Jackson, Chris Tailby   +4 more
wiley   +1 more source

Deep characterization of refractory epilepsy due to mild malformation of cortical development with oligodendroglial hyperplasia (MOGHE) and insights into the role of invasive monitoring

Epilepsia, EarlyView.
Abstract Objective Epilepsy surgery is an effective treatment option for patients with medically refractory epilepsy due to mild malformation of cortical development with oligodendroglial hyperplasia (MOGHE). The success of surgery depends on the accurate localization of the epileptogenic zone, which can be challenging due to the subtle imaging ...
Jean Khoury, Ingmar Blümcke, Robyn M. Busch, Balu Krishnan, Juan Bulacio, William Bingaman, Demitre Serletis, Imad Najm   +7 more
wiley   +1 more source