Fault Diagnosis Method of Distribution Equipment Based on Hybrid Model of Robot and Deep Learning by Shan Rongrong, Ma Zhenyu, Ye Hong, Lin Zhenxing, Qiu Gongming, Ge Chengyu, Lu Yang, Yu Kun

“…In view of the poor effect of most fault diagnosis methods on the intelligent recognition of equipment images, a fault diagnosis method of distribution equipment based on the hybrid model of robot and deep learning is proposed to reduce the dependence on manpower and realize efficient intelligent diagnosis. …”
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Literature study of Zn supplementation in feed for optimizing Nile tilapia Oreochromis niloticus growth by Muhammad Agus Suprayudi, Hendri Inarto, Julie Ekasari

“…One of the essential micro minerals needed in the body is zinc (Zn). Zinc is utilized for various physiological processes, including the maintenance of enzymatic processes within the fish's body. …”
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Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids by Mahdi Karimian, Seyed Ali Hosseini Kordkheili

“…A novel deep-learning method is adopted to predict effective mechanical properties of epoxy-based fiber-reinforced composites. …”
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Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function by Fang Jia, Boli Yang

“…In this paper, we use deep neural network (DNN) and long short-term memory (LSTM) model to forecast the volatility of stock index. …”
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Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

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Physics Informed by Deep Learning: Numerical Solutions of Modified Korteweg-de Vries Equation by Yuexing Bai, Temuer Chaolu, Sudao Bilige

“…In this paper, with the aid of symbolic computation system Python and based on the deep neural network (DNN), automatic differentiation (AD), and limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimization algorithms, we discussed the modified Korteweg-de Vries (mkdv) equation to obtain numerical solutions. …”
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Sustainability assessment of animal feed production from by-products of Sago palm smallholder industry by Allaily ., A.D. Santoso, M.N. Rofiq, N.A. Sasongko, H. Daulay, E.I. Wiloso, E. Widjaja, B.N. Utomo, A.I. Yanuar, S. Suryani, Y.P. Erlambang, U.N. Thiyas, D. Iskandar, A. Anhar, M. Rahmawati, T. Simamora, Y. Yusriani, G. Maghfirah, M. Ammar

Subjects: “…animal feed…”
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A deep reinforcement learning-based approach for cyber resilient demand response optimization by Ayush Sinha, Ranjana Vyas, Feras Alasali, William Holderbaum, O. P. Vyas

“…The research outcomes showcase the practicality and effectiveness of the proposed framework, substantiated through extensive experimentation conducted on IEEE-3, IEEE-9, IEEE-14, and IEEE-33 bus systems.…”
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DETECTION OF FAULT LOCATION ON THE POWER LINES 6–35 kV WITH UNILATERAL FEED by F. A. Romaniuk, M. A. Shevaldin

“…The paper describes new algorithm of detecting the fault location for the power lines 6–35 kV with unilateral feed. The results of operational control of the short-circuit current for the faulted phases are the only initial data needed for the fault location algorithm. …”
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Surface Subsidence Control during Deep Backfill Coal Mining: A Case Study by Baiyi Li, Nan Zhou, Wenyue Qi, Ailing Li, Zhizhong Cui

“…Solid backfill technology, which can control the strata movement and prevent potential hazards, has been used as the primary method in deep mining for surface subsidence control and ecosystem protection. …”
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Spatial and seasonal distribution of selected nitrogen cycle genes in deep waters of the Baltic Proper by Michał Grabski, Michał Grabski, Ewa Kotlarska, Aneta Łuczkiewicz, Konrad Hryniewicz, Grzegorz Węgrzyn, Beata Szymczycha

“…Therefore, in this study, we investigated the seasonal and spatial structure of microbial community abundance involved in the nitrogen loss (denitrification, anammox), reduction processes (dissimilatory nitrate reduction (DNR), dissimilatory nitrite reduction to ammonium (DNRA), and oxidation process (nitrification) in the Baltic Proper (Bornholm Deep, Gdańsk Deep, and Gotland Deep). Specifically, we focused on waters below the halocline at depths ranging from 75 to 135 m, characterized by changeable oxygen conditions. …”
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Vietnamese Sentiment Analysis under Limited Training Data Based on Deep Neural Networks by Huu-Thanh Duong, Tram-Anh Nguyen-Thi, Vinh Truong Hoang

“…Several experiments have been performed for both well-known machine learning-based classifiers and deep learning models. …”
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Investigation of Anaplasma marginale Seroprevalence in a Traditionally Managed Large California Beef Herd by Thomas R. Tucker, Sharif S. Aly, John Maas, Josh S. Davy, Janet E. Foley

“…The objective of this prospective cohort study was to estimate the incidence of Anaplasma marginale infection using seroconversion in a northern California beef cattle herd. A total of 143 Black Angus cattle (106 prebreeding heifers and 37 cows) were enrolled in the study. …”
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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

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Deep brain stimulation-entrained gamma oscillations in chronic home recordings in Parkinson's disease by Maria Olaru, Amelia Hahn, Maria Shcherbakova, Simon Little, Wolf-Julian Neumann, Reza Abbasi-Asl, Philip A. Starr

Subjects: “…Deep brain stimulation…”
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Retracted: English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention by Journal of Electrical and Computer Engineering

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Femtosecond Laser and Big-Bubble Deep Anterior Lamellar Keratoplasty: A New Chance by Luca Buzzonetti, Gianni Petrocelli, Paola Valente

“…To report the 12-month follow-up after big-bubble deep anterior lamellar keratoplasty (DALK) assisted by femtosecond laser that we have called IntraBubble. …”
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Case report: Neuroendocrine carcinoma of the nasal cavity in a roe deer (Capreolus capreolus) by Gorazd Vengušt, Diana Žele Vengušt, Carlo Cantile, Mitja Gombač, Kristina Tekavec, Tanja Švara

Subjects: “…roe deer…”
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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…This paper focuses on the DIRC detector, which presents complex hit patterns and is also used for PID of pions and kaons in the experiment at JLab. We present Deep(er)RICH, an extension of the seminal DeepRICH work, offering improved and faster PID compared to traditional methods and, for the first time, fast and accurate simulation. …”
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Cull Cow Beef Quality Issues: Hide Defects, Contamination, and Non-Ambulatory Cattle by Amie Imler, Matt Hersom, Todd Thrift, Joel Yelich, Max Irsik

“…This 3-page article is one of the Cull Cow Beef Quality Issues series, which addresses liability and food safety concerns. …”
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