Hazard Analysis Critical Control Points (HACCP) Principle 7: Establish Record Keeping and Documentation Procedures by Larry Eubanks, Chad Carr, Ronald H. Schmidt

“…AN221/AN221: Hazard Analysis Critical Control Points (HACCP) Principle 7: Establish Record Keeping and Documentation Procedures (ufl.edu) …”
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Performance Evaluation of Deep Learning Image Classification Modules in the MUN-ABSAI Ice Risk Management Architecture by Ravindu G. Thalagala, Oscar De Silva, Dan Oldford, David Molyneux

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Intelligent Intrusion Detection System Against Various Attacks Based on a Hybrid Deep Learning Algorithm by Bambang Susilo, Abdul Muis, Riri Fitri Sari

Subjects: “…deep learning…”
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Research on Hydraulic Fracturing Pressure Relief Technology in the Deep High-Stress Roadway for Surrounding Rock Control by Wen Zhai, Yachao Guo, Xiaochuan Ma, Nailv Li, Peng Zhang, Kun Ma, Yuanxin Jing, Hong Yu, Xiaotong Li

“…With the increase of mining depth in underground engineering, deep ground pressure has an extremely unfavorable impact on safety production and the economic benefits of coal mines and the control of the roadway stability in deep mines are gradually highlighted. …”
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'I Can't Meet That Deadline': Implications of New Truck Driver Hours of Service Regulations for Florida Agriculture by Richard Beilock

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Physiological, biochemical and genetic bases of amaranth (Amaranthus L.) breeding for food and feed purposes (a review) by A. B. Shcherban

“…Only in the 20th century, largely thanks to Nikolai Vavilov, amaranth attracted great interest as a food and feed crop. Amaranth is a plant unique in its nutritional properties. …”
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On the Efficiency of the Multi-Channel Analysis of Surface Wave Method for Shallow and Semi-Deep Loose Soil Layers by Kasgin Khaheshi Banab, Dariush Motazedian

“…The multi-channel analysis of surface waves (MASWs) method was used to obtain the shear wave velocity variations through near surface (depth < 30 m) and semi-deep (30 m < depth < 100 m) soil layers in the city of Ottawa, Canada. …”
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Human Strategy Learning-Based Multi-Agent Deep Reinforcement Learning for Online Team Sports Game by Seongbeen Lee, Gyuhyuk Lee, Wongyeom Kim, Junoh Kim, Jisun Park, Kyungeun Cho

“…IEEE Access…”
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Comparison of Dark Personality Traits, Feeling of Alienation and Spiritual Well-Being in People with and without Tendency to Vandalism by Abbas Abolghasemi, Seyyedeh Zahra Seyyed Noori, Morteza Zakeri, Reza Ghorbani

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A Mobile Image-Driven PM2.5 Estimation Framework Using Deep Learning Techniques by Anupam Kamble, Somrawee Aramkul, Paskorn Champrasert

“…IEEE Access…”
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Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction by Marco Antonio Aceves-Fernández, Ricardo Domínguez-Guevara, Jesus Carlos Pedraza-Ortega, José Emilio Vargas-Soto

“…In this particular case-study, the use of deep convolutional neural networks (both 1D and 2D) was explored to probe the feasibility of these techniques in prediction tasks. …”
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Florida Cow-Calf and Stocker Beef Safety and Quality Assurance Handbook: Food Safety Control Points by Todd A. Thrift, Matt J. Hersom, Max Irsik

“… AN171, is pages 11-36 of the full-color Florida Cow-Calf and Stocker Beef Safety and Quality Assurance Handbook, which is used for the voluntary Florida Beef Quality Producer program. …”
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Effect of Stiffness of Rolling Joints on the Dynamic Characteristic of Ball Screw Feed Systems in a Milling Machine by Dazhong Wang, Yan Lu, Tongchao Zhang, Keyong Wang, Akira Rinoshika

“…Dynamic characteristic of ball screw feed system in a milling machine is studied numerically in this work. …”
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Proximate analysis of animal feed from organic waste and effect on changes in body weight Gallus domesticus by Muhammad Rijal

Subjects: “…feed nutrition…”
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DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation by Mingxin Gan, Hang Zhang

“…In this paper, we propose a novel deep neural architecture named DeepFusion to jointly learn user and item representations from numerical ratings, textual reviews, and item metadata. …”
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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

Subjects: “…Deep dream…”
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Dissipation of Impact Stress Waves within the Artificial Blasting Damage Zone in the Surrounding Rocks of Deep Roadway by Jianguo Ning, Jun Wang, Yunliang Tan, Xinshuai Shi

“…Artificial explosions are commonly used to prevent rockburst in deep roadways. However, the dissipation of the impact stress wave within the artificial blasting damage zone (ABDZ) of the rocks surrounding a deep roadway has not yet been clarified. …”
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64th Annual Meeting of the Canadian Association of Neuropathologists - Association canadienne des neuropathologistes (CANP-ACNP) by The Canadian Association of Neuropathologists - Association canadienne des neuropathologistes (CANP-ACNP)

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Deep learning–based resource allocation for secure transmission in a non-orthogonal multiple access network by Miao Zhang, Yao Zhang, Qian Cen, Shixun Wu

“…Machine learning techniques, especially deep learning algorithms have been widely utilized to deal with different kinds of research problems in wireless communications. …”
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Feed sorting behavior and performance of Argentinian Creole, Braford and crossbred steers during the growing and fattening phases by M.M. Della Rosa, P.M. Corva, V. Royo, M. Zimerman, D. Bottegal, J.A. Nasca

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