Deep-Learning Based Depth-Tracking of Stacking-Faults in Epitaxially Grown Silicon Wafers by Theresa Trötschler, Saed Al-Hajjawi, Siddharth Raghavendran, Jonas Haunschild, Matthias Demant, Stefan Rein

“…This work presents a non-destructive and automated characterization method on full-size wafers to locate stacking faults and determine their layer of origin to identify process-based root causes. A deep learning model and a quantification via geometric defect properties is realized on dark field microscope images, with the potential to be transferred to inline images measured in dark field mode with high-resolution cameras. …”
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Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…IEEE Access…”
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Legal Protection For Notaries Against False Information Given By Participants In The Drafting of Authentic Deeds by Jane Maria Octavia, Ana Silviana

“…Introduction: A problem that often occurs in connection with the implementation of the duties of a Notary is if there is a Notarial deed that is faulted by the parties, especially if the parties come to the Notary with false information or fake evidence. …”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

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ENHANCING OF IMMUNE RESPONSE AGAINST NEWCASTLE DISEASE VIRUS FOR BROILER FEEDS ON ZINC-METHIONINE by Wejdan. M. A., B. H. Ali

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A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data by Bing Liu, Yu Tang, Yuxiong Ji, Yu Shen, Yuchuan Du

“…Ramp metering that uses traffic signals to regulate vehicle flows from the on-ramps has been widely implemented to improve vehicle mobility of the freeway. …”
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Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning by Maryam Talebvand, Amir Lakizadeh, Faranak Fotouhi

Subjects: “…deep learning…”
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Analysis and Enhancement of IEEE 802.15.4e DSME Beacon Scheduling Model by Kwang-il Hwang, Sung-wook Nam

“…To overcome some problems in IEEE 802.15.4, the 15.4e task group proposed various different modes of operation. …”
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Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion by Zepeng Li, Yuni Zeng, Mingfeng Jiang, Bo Wei

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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

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Estimation of the Critical Temperatures of Some More Deep Eutectic Solvents from Their Surface Tensions by Yizhak Marcus

“…The critical temperatures of two dozen deep eutectic solvents, for only some of which these have been estimated previously, were estimated from the temperature dependences of their surface tensions and densities available in the literature according to the Eötvös and the Guggenheim expressions.…”
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Deep brain stimulation of the anterior cingulate cortex reduces opioid addiction in preclinical studies by Mahdi Fatemizadeh, Esmail Riahi, Gholamreza Hassanzadeh, Anahita Torkaman-Boutorabi, Forough Radfar, Maryam Farahmandfar

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RFMVDA: An Enhanced Deep Learning Approach for Customer Behavior Classification in E-Commerce Environments by Kwanhee Kim, Mingyu Jo, Ilkyeun Ra, Sangoh Park

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A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors by Yiming Zhang, Hang Zhao, Jinyi Ma, Yunmei Zhao, Yiqun Dong, Jianliang Ai

“…A new fault detection scheme for aircraft Inertial Measurement Unit (IMU) sensors is developed in this paper. This scheme adopts a deep neural network with a CNN-LSTM-fusion architecture (CNN: convolution neural network; LSTM: long short-term memory). …”
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Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power by Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, Jing Qiu

“…This article introduces a hybrid data‐driven framework that employs an ensemble deep learning model to provide highly precise short‐term wind power predictions. …”
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Modeling Highly Buoyant Flows in the Castel Giorgio: Torre Alfina Deep Geothermal Reservoir by Giorgio Volpi, Fabien Magri, Francesca Colucci, Thomas Fisher, Mattia De Caro, Giovanni B. Crosta

“…Calculated pressure and temperature have been calibrated against data from geothermal wells. …”
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Biodesulfurization of high-sulfur oil from the Karazhanbas field of Kazakhstan with deep eutectic solvents by A.O. Akimbek, G.A. Jamalova, A.K. Yernazarova, G.K. Kaiyrmanova, B.K. Yelikbayev, M.C. Pagano, A.G. Zazybin, Kh. S. Rafikova

“…The native bacterial strains selected during the study showed high disulfurization activity without the addition of deep eutectic solvents (hereinafter referred to as DES) (Bacillus thuringiensis SFN3), with the addition of DES-1 (Bacillus cereus SFN2) and with the addition of DES-2 (Bacillus thuringiensis SFN3). …”
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Seasonal Abundance and Host-Feeding Patterns of Anopheline Vectors in Malaria Endemic Area of Iran by Hamidreza Basseri, Ahmad Raeisi, Mansoor Ranjbar Khakha, Abaas Pakarai, Hassanzehi Abdolghafar

“…Seasonal abundance and tendency to feed on humans are important parameters to measure for effective control of malaria vectors. …”
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Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂) by Haijing Qin, Yunchen Tian, Jianing Quan, Xueqi Cong, Qingfei Li, Jinzhu Sui

Subjects: “…Assessment of feeding intensity…”
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NAVSA/BAVS joint meeting : « Past versus Present », 13 to 15 July 2009 by Laurence Roussillon-Constanty

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