Suchergebnisse - "Deep Neural Network algorithm"

DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems von Mostajeran, F., Mokhtari, R.

“… This paper extends a deep neural network method, a semi-supervised one, to solve backward heat conduction problems which have been long-standing computational …”
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Deep neural network algorithm for predicting the reaction performance of Cr(VI) removal by S-ZVI von Wang, Xiao, He, Bo, Li, Jun, Zhang, Yanshi, Zhang, Yiqiao, Wang, Chunguang, Zhao, Chengxuan, Xu, Chunhua

“… Sulfidation to zero-valent iron (S-ZVI) is efficient and promising strategy in environmental remediation. Due to the complexity of reaction system, many …”
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Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering von Chauhdary, Sohaib Tahir, Khan, Taha Saeed, Arif, Saad, Ahmad, Ayaz, Shah, Munam Ali, Baili, Jamel

“… This research article proposes the unscented Kalman filtering (UKF) and deep neural network algorithm (DNN …”
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Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index von Jin, Xiuliang, Li, Zhenhai, Feng, Haikuan, Ren, Zhibin, Li, Shaokun

“… Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield. Biomass is also a key trait in increasing grain yield by crop …”
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Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm von Hu, Jun, Zeng, Wen-Wu, Jia, Ning-Xin, Arif, Muhammad, Yu, Dong-Jun, Zhang, Gui-Jun

“… Identification of the DNA-binding protein (DBP) helps dig out information embedded in the DNA-protein interaction, which is significant to understanding the …”
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Predicting Ca2+ and Mg2+ ligand binding sites by deep neural network algorithm von Sun, Kai, Hu, Xiuzhen, Feng, Zhenxing, Wang, Hongbin, Lv, Haotian, Wang, Ziyang, Zhang, Gaimei, Xu, Shuang, You, Xiaoxiao

“… , physicochemical characteristics of amino acids and predicted structural information, deep neural network algorithm is used …”
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Target image validation modeling using deep neural network algorithm von Mubarakah, Naemah, Sihombing, Poltak, Efendi, Syahril, Fahmi, Fahmi

“… Research on image validation models is an interesting topic. The application of deep learning (DL) for object detection has been demonstrated to effectively …”
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Prediction method of the deep drawing quality using Siamese deep neural network algorithm trained with time-dependent load curves von Jang, Inje, Bae, Gihyun, Kim, Dohyeong, Kim, Geunho, Lee, Sanga

“… This study proposes an AI-based framework to predict the quality of results from the deep drawing process without requiring considerable amounts of actual …”
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Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm von Lei, Tengfei, Li, Rita Yi Man, Jotikastira, Nuttapong, Fu, Haiyan, Wang, Cong

“… Precise inventory prediction is the key to goods inventory and safety management. Accurate inventory prediction improves enterprises’ production efficiency. It …”
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A new deep neural network algorithm for multiple stopping with applications in options pricing von Han, Yuecai, Li, Nan

“… In this paper, we propose a deep learning method to solve high-dimensional optimal multiple stopping problems. We represent the policies of multiple stopping …”
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Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm von Bramsløw, Lars, Naithani, Gaurav, Hafez, Atefeh, Barker, Tom, Pontoppidan, Niels Henrik, Virtanen, Tuomas

“… Hearing aid users are challenged in listening situations with noise and especially speech-on-speech situations with two or more competing voices. Specifically, …”
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Cloud-Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems von Arivazhagan, N., Somasundaram, K., Vijendra Babu, D., Gomathy Nayagam, M., Bommi, R. M., Mohammad, Gouse Baig, Kumar, Puranam Revanth, Natarajan, Yuvaraj, Arulkarthick, V. J., Shanmuganathan, V. K., Srihari, K., Ragul Vignesh, M., Prabhu Sundramurthy, Venkatesa

“… Considering task dependencies, the balancing of the Internet of Health Things (IoHT) scheduling is considered important to reduce the make span rate. In this …”
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Deep Neural Network Algorithm of Intelligent Backfilling in Goaf von Zhongbin ZHOU, Weiguo LIANG, Fengqi GUO, Wulong YAN

“… of gangue-filling process in underground goaf. Methods To realize this, the stress and deformation of surrounding rock after filling are taken as monitoring indicators, and a deep neural network algorithm for intelligent filling in goaf …”
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Application of a high-throughput swarm-based deep neural network Algorithm reveals SPAG5 downregulation as a potential therapeutic target in adult AML von Ajonu, Chinyere I, Grundy, Robert I, Ball, Graham R, Zafeiris, Dimitrios

“… Gene‒gene interactions play pivotal roles in disease pathogenesis and are fundamental in the development of targeted therapeutics, particularly through the …”
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A multi-physical coupling NURBS-based isogeometric analysis for nonlinear electrodynamics of three-directional poroelastic functionally graded circular nanoplate: Introducing deep neural network algorithm for nonlinear electrodynamics problems von Gao, JingLong, Chang, Lei, Mahmoud, Haitham A.

“… •Considering quasi-3D sinusoidal shear deformation theory thickness stretching as a new higher order shear deformation theory to simulate the displacement …”
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A Study on the Application and the Advancement of Deep Neural Network Algorithm von Song, Jiulin, Chen, Yansheng

“… In recent years, deep neural network algorithm has been widely used in scientific research and real life, but its complexity, parallelism and other characteristics lead it to be a very challenging …”
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Identification of cell-type-specific genes in multimodal single-cell data using deep neural network algorithm von Qian, Weiye, Yang, Zhiyuan

“… The emergence of single-cell RNA sequencing (scRNA-seq) technology makes it possible to measure DNA, RNA, and protein in a single cell. Cellular Indexing of …”
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Reconstruction of synthetic aperture radar data using hybrid compressive sensing and deep neural network algorithm von Paramasivam, Saranya, Kaliyaperumal, Vani

“… The reconstruction of reflectivity profile of the synthetic aperture radar (SAR) is an important field of research. SAR tomography is an advanced 3D imaging …”
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Health index degradation prediction of induction motor using deep neural network algorithm von Amin, Arslan Ahmed, Alsuwian, Turki, Shahid, Aiman, Waseem, Saba

“… •A deep neural network-based self-designed model predicts the health status of the motor.•Multiple sensors deployed on the motor provide continuous data for …”
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Application of an Artificial Intelligence System Recognition Based on the Deep Neural Network Algorithm von Zhang, Yaru, Zhang, Qian, Yang, Jingxuan

“… With the development of artificial intelligence and computer technology, the deep neural network algorithm is applied to the intelligentization of various fields of production and life …”
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