Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

“…In this paper, we propose a unified quantile regression deep neural network with time-cognition for tackling this challenging issue. …”
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Optimizing a Rodent Model of Parkinson's Disease for Exploring the Effects and Mechanisms of Deep Brain Stimulation by Karl Nowak, Eilhard Mix, Jan Gimsa, Ulf Strauss, Kiran Kumar Sriperumbudur, Reiner Benecke, Ulrike Gimsa

“…Deep brain stimulation (DBS) has become a treatment for a growing number of neurological and psychiatric disorders, especially for therapy-refractory Parkinson's disease (PD). …”
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Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems by Yun Long, Youfei Lu, Hongwei Zhao, Renbo Wu, Tao Bao, Jun Liu

“…The proposed multilayer deep deterministic policy gradient is compared with other deep learning algorithms. …”
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Design of Negative Pressure Spiral Feeding Device for Tangential and Longitudinal Axial Intersection of Combine Harvester by Zhong Tang, Xiyao Li, Xinda Chen, Yang Chen

“…Then, the flow path model of the negative pressure spiral feeding device was analyzed by CFD. The airflow velocity distribution of the spiral feed head semicircular cross section and power consumption of the longitudinal axial spiral feeding head were used to verify the effectiveness and rationality of the negative pressure spiral feeding device. …”
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The Damage Induced by Blasting Excavation and Seepage Characteristics of Deep Rock under High Seepage Pressure by Qian Dong, Xin Liu, Hangli Gong, Yi Luo, Xinping Li, Liangjun Wang

“…By taking the blasting excavation of a deeply buried karst tunnel in the North Tianshan Mountains in China as research objects, the damage induced by blasting excavation and seepage characteristics of deep rock under high seepage pressure was investigated. …”
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Sterile sector impacting the correlations and degeneracies among mixing parameters at the Deep Underground Neutrino Experiment by Sabila Parveen, Mehedi Masud, Mary Bishai, Poonam Mehta

“…Abstract We investigate the physics potential of the upcoming Deep Underground Neutrino Experiment (DUNE) in probing active-sterile mixing. …”
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Anticipating The Return of Foreign Terrorist Fighters: Indonesia-Australia’s Initiative on Sub-Regional Meetings on Counterterrorism by Nuri Widiastuti Veronika

“…Despite the Indonesian-Australian “turbulent” history of their bilateral relationship, the two countries have initiated a high-level meeting called the Sub-Regional Meeting (SRM) on Counter-Terrorism. …”
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Research on Mechanism of Rock Burst in Key Working Faces under Thick Magmatite in Deep Mine by WeiLi Yang, ZhiZeng Zhang, QuanDe Wei, XiaoCheng Qu, JingLin Wen

“…The rock burst of key working faces under the thick hard rock in deep mine significantly threatens the mining safety of deep mine. …”
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Application of Artificial Intelligence Virtual Image Technology in Photography Art Creation Under Deep Learning by Qiong Yao

Subjects: “…Deep learning…”
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Improving the accuracy of processing deep holes by Electrical Discharge Machining with a rotating tubular electrode by A. Yu. Popov, V. A. Prokofev

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The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks by Sunku V.S., Namboodiri V., Mukkamala R.

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Analysis of Deep Foundation Pit Pile-Anchor Supporting System Based on FLAC3D by Yongshuai Sun, Zhiming Li

“…Relying on a deep foundation pit project in Beijing, using FLAC3D three-dimensional finite-difference software simulation combined with displacement monitoring data verification method, the deep foundation pit excavation and three-pile and two-anchor rod support system in anhydrous sand pebble stratum are systematically analyzed, and summed up the variation law of formation stress, internal force of soil nail, axial force of bolt, stress and displacement of pile in the process of excavation and support of deep foundation pit. …”
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Average Nutrient Content and Bulk Price of Byproduct Feeds Commonly Available to Florida Cattle Producers by John D. Arthington

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Analysis of Risk Factors for Postoperative Lower Extremity Deep Venous Thrombosis and its Treatment and Nursing by Huayun Liu, Yunhua Peng

“…To explore the risk factors of lower extremity deep venous thrombosis (LEDVT) after surgery and discuss the treatment and nursing countermeasures. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…Convolutional neural network based pretrained deep learning models can be used successfully to detect lung cancer. …”
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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…The classification of gamma-ray bursts (GRBs) has long been an unresolved problem. Early long- and short-burst classification based on duration is not convincing owing to the significant overlap in duration plot, which leads to different views on the classification results. …”
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Evaluation of the possibility of Spirulina Spirulina platensis culture in the deep aquifer well, Seistan, Southeastern Iran by Abdolali Rahdari, Ali Khosravanizadeh, Sahel Pakzad Toochaei, Roghayeh Karami

Subjects: “…deep aquifer well…”
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The population growth and the nutritional status of Moina macrocopa feed with rice bran and cassava bran suspensions by Ahmad Shofy Mubarak, Dedi Jusadi, Muhammad Zairin Junior, Muhammad Agus Suprayudi

“…ABSTRACT   Moina macrocopa culture density can be improved by optimizing the fecundity, and somatic growth through the regulation of quality and quantity of feed. The purpose of this study were to determined how to use effectively the rice bran and cassava bran Manihot utilisima suspension on Moina, based on population, neonates production, adult percentage, biomass, metabolisme and nutritional state. …”
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Design of Multilevel Sequential Rotation Feeding Networks Used for Circularly Polarized Microstrip Antenna Arrays by Aixin Chen, Chuo Yang, Zhizhang Chen, Yanjun Zhang, Yingyi He

“…Sequential rotation feeding networks can significantly improve performance of the circularly polarized microstrip antenna array. …”
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A Simulation of a Virtual Qubits on a Classical Computer has Been Developed Recently by Yaremi M. García Zavala, Magally Martínez Reyes, M. Ávila Aoki

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