Deep Recurrent Model for Server Load and Performance Prediction in Data Center by Zheng Huang, Jiajun Peng, Huijuan Lian, Jie Guo, Weidong Qiu

“…Recurrent neural network (RNN) has been widely applied to many sequential tagging tasks such as natural language process (NLP) and time series analysis, and it has been proved that RNN works well in those areas. …”
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Towards understanding the character of quality sampling in deep learning face recognition by Iurii Medvedev, João Tremoço, Beatriz Mano, Luís Espírito Santo, Nuno Gonçalves

“…Namely, we seek for the penalising manner (sampling character) that better satisfies the purpose of adapting deep learning face recognition for images of ID and travel documents. …”
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Retracted: Radiation Hardness of Flash Memory Fabricated in Deep-Submicron Technology by International Journal of Photoenergy

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A Study of English Informative Teaching Strategies Based on Deep Learning by Yaojun Guo

“…The experimental research results prove that the online e-learning service platform cannot only effectively meet the diverse and personalized English learning needs of university students, but also improve the learning efficiency of teachers and students.…”
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Deep learning for cyber threat detection in IoT networks: A review by Alyazia Aldhaheri, Fatima Alwahedi, Mohamed Amine Ferrag, Ammar Battah

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Transition to competent oral feeding in preterm infants: Analyzing timing and determinants by Gabriela Bolea Muguruza, Cristina de Frutos Martínez, M. Teresa Tamayo Martínez, Judith Martín Corral

“…Results: We included 145 VLBW infants with a median gestational age (GA) of 29 weeks with a weight of 1247 g. Oral feeding was initiated at 33.6 weeks (SD, 1.2) and full oral feeding was achieved at 35.9 weeks (SD, 1.9). …”
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Plucking Point and Posture Determination of Tea Buds Based on Deep Learning by Chengju Dong, Weibin Wu, Chongyang Han, Zhiheng Zeng, Ting Tang, Wenwei Liu

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Soil Creep Effect on Time-Dependent Deformation of Deep Braced Excavation by Panpan Guo, Gang Lei, Lina Luo, Xiaonan Gong, Yixian Wang, Baojian Li, Xunjian Hu, Haibo Hu

“…The observational method is more applicable for deep braced excavations in soft clays constructed using the top-down method. …”
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Multifunctional Roles of Reticular Fibroblastic Cells: More Than Meets the Eye? by H. G. Alvarenga, L. Marti

“…To this end, we focus this review on lymph nodes FRC characterization and discuss functional aspects such as production of cytokines and chemokines and their involvement in the immune response, seeking to establish whether certain subsets have a more functional specialization.…”
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New Surprises from the Deep — The Family of Small Regulatory RNAs Increases by Jürgen Wittmann, Hans-Martin Jäck

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Towards unbiased skin cancer classification using deep feature fusion by Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi

Subjects: “…Deep learning…”
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Inulin supplementation in feed as a prebiotic for red tilapia Oreochromis sp. by Agustina Agustina, Adi Susanto

“… The objective of this study was to assess the impact of inulin as a prebiotic in feed on red tilapia (Oreochromis sp.) growth performance, hematological parameters, feed utilization, digestive enzyme activity, and the quantity of lactic acid bacteria in the intestine. …”
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Progress and insights from worldwide deep coalbed methane exploration and development by Jiaqi ZHANG, Zengqin LIU, Baojian SHEN, Shihu ZHAO, Xinjun CHEN, Jincheng YE

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Retracted: Multimedia Data Processing Technology and Application Based on Deep Learning by Advances in Multimedia

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Deep learning application for stellar parameter determination: III-denoising procedure by Gebran Marwan, Bentley Ian, Brienza Rose, Paletou Frédéric

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Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms by Kuo-Yang Wu, Sendren Sheng-Dong Xu, Tzong-Chen Wu

“…We investigate the optimal scheduling of retrieval jobs for double-deep type Automated Storage and Retrieval Systems (AS/RS) in the Flexible Manufacturing System (FMS) used in modern industrial production. …”
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Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning by Qing An, Xijiang Chen, Xiaoyan Du, Jiewen Yang, Shusen Wu, Ya Ban

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Maximum Power Point Tracking of PV Grids Using Deep Learning by K. Rafeeq Ahmed, Farrukh Sayeed, K. Logavani, T. J. Catherine, Shimpy Ralhan, Mahesh Singh, R. Thandaiah Prabu, B. Bala Subramanian, Adane Kassa

“…In this paper, we develop a deep learning model using back propagation neural network (BPNN) that helps to obtain maximum power point. …”
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A Geochemical Model of Fluids and Mineral Interactions for Deep Hydrocarbon Reservoirs by Jun Li, Raheel Ahmed, Qian Zhang, Yongfan Guo, Xiaochun Li

“…A mutual solubility model for CO2-CH4-brine systems is constructed in this work as a fundamental research for applications of deep hydrocarbon exploration and production. The model is validated to be accurate for wide ranges of temperature (0–250°C), pressure (1–1500 bar), and salinity (NaCl molality from 0 to more than 6 mole/KgW). …”
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Use of “ARRIAH-AviFluVac” vaccine in turkeys, geese and ducks by N. V. Moroz, S. V. Frolov, V. N. Irza, L. O. Scherbakova, V. Yu. Kulakov

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