Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine by FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin

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Investigating the Influence of Anthropogenic Forcing on Observed Mean and Extreme Sea Level Pressure Trends over the Mediterranean Region by Armineh Barkhordarian

“…We also show that GS signal has a detectable influence on observed decreasing (increasing) tendency in the frequencies of extremely low (high) SLP days in winter and that these changes cannot be explained by internal climate variability. …”
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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition by Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui

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The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context by M. Staudinger, M. Kauzlaric, A. Mas, G. Evin, B. Hingray, D. Viviroli

“…After routing the simulated runoff, we analyzed the important patterns and drivers of extreme flooding at the outlet of the Aare River basin using a random forest. …”
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Changes in climate extreme indices and agricultural drought monitoring in the semi-arid areas of Borana zone, southern Ethiopia by Girma Asefa Bogale, Asfaw Kebede Kassa, Mengistu Mengesha Maja

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Enhanced extreme learning machine via competitive learning SSA (CL-SSA) for load capacity factor prediction by Nuriddin Tahir S Luoka, Wagdi M.S. Khalifa

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RESEARCH ON SAFETY PROTECTION DESIGN AND MECHANICAL CHARACTERISTIC OF ROLLING LOBE AIR SPRING UNDER EXTREME CONDITION (MT) by CHEN JunJie, ZHANG ShengPeng, ZHANG Lei, WANG QiLiang, CHEN Ke

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Upper Extremity Compartment Syndrome in a Patient with Acute Gout Attack but without Trauma or Other Typical Causes by John G. Skedros, James S. Smith, Marshall K. Henrie, Ethan D. Finlinson, Joel D. Trachtenberg

“…A few days prior to this episode of ACS, high pain and swelling occurred in his right upper extremity after a minimal workout with light weights. …”
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Wind energy system fault classification using deep CNN and improved PSO‐tuned extreme gradient boosting by Chun‐Yao Lee, Edu Daryl C. Maceren

“…The methodology involves resampling the imbalanced SCADA dataset using synthetic minority oversampling technique (SMOTE) and near‐miss undersampling techniques, extracting deep learning features using deep convolutional neural network, and feeding them into an XGBoost (extreme gradient boosting) classifier with tuned parameters using adaptive elite‐particle swarm optimization (AEPSO). …”
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Risk factors for early periventricular intraventricular hemorrhage in extremely low birth weight infants: a retrospective study by Yueju Cai, Yongjiang Jiang, Ping Wang, Xiaopeng Zhao, Yanyan Song, Xiaolan Li

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Numerical Modeling Study of Extreme Scouring in River Section of Guangfo( from Guangzhou to Foshan) River-crossing Tunnel by YANG Fang, HE Yong

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Effect of Adapted Ergometer Setup and Rowing Speed on Lower Extremity Loading in People with and Without Spinal Cord Injury by Ying Fang, Karen L. Troy

“…This study investigates the effect of ergometer setup and rowing speed on lower extremity loading during rowing. Methods: Twenty able-bodied participants and one participant with SCI rowed on an adapted ergometer with different speeds and setups. …”
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Ripples of Trauma in Jonathan Safran Foer’s Extremely Loud & Incredibly Close and in Art Spiegelman’s In the Shadow of No Towers by Gwen Le Cor

“…This article examines how Jonathan Safran Foer (Extremely Loud & Incredibly Close) and Art Spiegelman (In the Shadow of No Towers) build on the traumatic choc wave spawned by 9/11. …”
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Phylogeography and genetic diversity of Ulmus elongata (Ulmaceae), a Tertiary relict tree with extremely small populations (PSESP) by Yakun Wang, Xiankun Wang, Junyuan Wu, Jun Yang, Yanpei Liu, Peng Guo, Fude Shang, Nan Lin

“…Abstract Background Assessing the current status and identifying the mechanisms threatening endangered plants are significant challenges and fundamental to biodiversity conservation, particularly for protecting Tertiary relict trees and plant species with extremely small populations (PSESP). Ulmus elongata (Ulmus, Ulmaceae) with high values for the ornamental application, is a Tertiary relict tree species and one of the members from PSESP in China. …”
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Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. by ZeSheng Lin

“…In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention. …”
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Exploration of the Mountainous Urban Rail Transit Resilience Under Extreme Rainfalls: A Case Study in Chongqing, China by Chenhui Liu, Xue Su, Zhichun Wu, Yingjun Zhang, Cuizhu Zhou, Xiangguo Wu, Yong Huang

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Pauline Picco, Liaisons dangereuses. Les extrêmes droites en France et en Italie (1960-1984) by Charlotte Moge

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Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area by GUO Shan, ZHANG Dawei, WANG Yadi

Subjects: “…extreme climate…”
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Spatial-temporal Differentiation and Prediction of Extreme Weather Events and Vegetation Cover in Guizhou Province Under Climate Change by LI Xi'nan, HE Linhong, XUE Lianqing

Subjects: “…extreme climate index…”
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The Novel Successive Variational Mode Decomposition and Weighted Regularized Extreme Learning Machine for Fault Diagnosis of Automobile Gearbox by Yijiao Wang, Guoguang Zhou

“…In order to improve the diagnosis accuracies of the current diagnosis methods, a novel fault diagnosis method of automobile gearbox based on novel successive variational mode decomposition and weighted regularized extreme learning machine is presented for fault diagnosis of gearbox in this paper. …”
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