Radiation Hardness of Flash Memory Fabricated in Deep-Submicron Technology by Bojan Cavrić, Edin Dolićanin, Predrag Petronijević, Milić Pejović, Koviljka Stanković

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Comparing Fall Food Plot Blends for Deer: 2006 Update by Rick Williams, Tim Baxley

“…FOR 113/FR167: Comparing Fall Food Plot Blends for Deer: Update (ufl.edu) …”
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Weed Control in Bulb Crops (Onion, Leek, Garlic, Shallot) by William M. Stall

“…HS193/WG033: Weed Management in Bulb Crops (Onion, Leek, Garlic, Shallot) (ufl.edu) …”
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Displacement Characteristics of a Deep Excavation in Hangzhou Soft Clay by Yuan Mei, Lu Wang, Dongbo Zhou, Liaoyuan Fu

“…The research results have important significance for the effective prevention of foundation pit accidents and the optimal design of deep foundation pit projects.…”
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Blood Feeding Insect Series: American Trypanosomiasis - Chagas Disease by Kevin Kobylinski, Roxanne Rutledge-Connelly

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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…Machine learning methods have been recently explored to develop techniques for counterterrorism based on artificial intelligence (AI). …”
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How to Measure Body Condition Score in Florida Beef Cattle by Matthew J. Hersom, Todd A. Thrift

“… Body condition score (BCS) is both a good indicator of the past nutritional status of a cow and a way to determine future nutritional needs. The BCS technique is easy to learn and can help with management decisions. …”
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Determination of Ivermectin in Medicated Feeds by Liquid Chromatography with Fluorescence Detection by Konrad Pietruk, Piotr Jedziniak

“…A labour- and time-effective analytical procedure for determination of ivermectin in medicated feed at recommended level of 2.0 mg kg−1 has been developed and validated. …”
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Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

“…In the medical field, using gene expression data to build deep survival neural network models significantly improves accurate survival prognosis. …”
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Brain Tumor Detection Using a Deep CNN Model by Sonia Ben Brahim, Samia Dardouri, Ridha Bouallegue

“…Our study involves the application of a deep convolutional neural network (DCNN) to diagnose brain tumors from MR images. …”
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Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups by Yuanhui Fang, Yanmei Cui, Xianzhi Ao

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Keeping it Clean: Cleaning Bathrooms, Sink, Bathtub, Shower, Toilet by Mary N. Harrison

“… Every family member can help keep the bathroom clean and in good condition. Some chores need to be done daily, others weekly. …”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…We also train and validate several deep learning models to classify brickwork images as either cracked or normal. …”
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Beet Armyworm, Spodoptera exigua (Hübner) (Insecta: Lepidoptera: Noctuidae) by John L. Capinera

“…Published: July 1999. EENY105/IN262: Beet Armyworm, Spodoptera exigua (Hübner) (Insecta: Lepidoptera: Noctuidae) (ufl.edu) …”
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Retracted: Cleanup Sketched Drawings: Deep Learning-Based Model by Applied Bionics and Biomechanics

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Biotechnological methods as a tool for efficient sugar beet breeding by T. P. Zhuzhzhalova, E. O. Kolesnikova, E. N. Vasilchenko, N. N. Cherkasova

Subjects: “…sugar beet…”
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Research on the Application of Deep Learning Methods in the Field of Image Classification by Peng Yuhui

“…The application of deep learning methods such as Convolutional Neural Network, Recurrent Neural Networks and Long Short-Term Memory in image classification is also discussed. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

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Multigraph-based Deep Programming Ability Tracing Method for Students by Yue Wang, Guanwen Zhang

“…To this end, we propose a multigraphbased deep programming ability tracing method for students (MDPAT), which consists of four components. …”
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Driver Lane-Changing Behavior Prediction Based on Deep Learning by Cheng Wei, Fei Hui, Asad J. Khattak

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