Fast and accurate deep learning scans for signatures of natural selection in genomes using FASTER-NN by Sjoerd van den Belt, Nikolaos Alachiotis

“…Abstract Deep learning classification models based on Convolutional Neural Networks (CNNs) are increasingly used in population genetic inference for detecting signatures of natural selection. …”
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Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning by Yang Zhou, Rui Fu, Chang Wang

“…The present study proposes a framework for learning the car-following behavior of drivers based on maximum entropy deep inverse reinforcement learning. The proposed framework enables learning the reward function, which is represented by a fully connected neural network, from driving data, including the speed of the driver’s vehicle, the distance to the leading vehicle, and the relative speed. …”
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Comparing corn silage with beet pulp silage fed separate or mixed with concentrate in buffalo calves by Abdur Rahman, Ali R. Khan, Muhammad I. Anjum, Zafar Hayat, Muhammad Arshad

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Deciphering Regulatory Networks Governing Seedling Emergence in Deep-Sown Direct-Seeded Rice Cultivation by Jasneet Singh, Nitika Sandhu, Aman Kumar, Om Prakash Raigar, Sutej Bains, Gaurav Augustine, Muskan Gupta, Ekta Kharche, Anu Kalia, Navtej Singh Bains, Arvind Kumar

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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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Experimental Study of the Flow Mechanism of Deep Lacustrine Carbonate Reservoirs in the Yingxi Area of the Qaidam Basin by Xiangrong Luo, Yongxian Zheng, Penggang Huang, Li’an Yang, Xiaodong Chen, Xiaojuan Ren, Guo Wang, Yanzhi Wang, Zhiguo Wang, Xiaoxiao Li

“…These results will provide theoretical basis for solving the difficult problems of developing deep lacustrine carbonate reservoirs.…”
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Accelerated Storage Testing of Vacuum-Dried <i>Lactobacillus acidophilus TISTR 1338</i> for Feed by Apichet Muenaram, Bhundit Innawong, Imrana Niaz Sultan, Muhammad Waseem Khan, Hamza Ghilzai, Afrasiab Khan Tareen, Pramuk Parakulsuksatid

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Children «on the side»: feeding industry on territory of Tavrida Province in late XIX–early XX centuries by V. A. Maslennikova

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Identification of bald patches in degraded alpine meadows by UAV-based remote sensing and deep learning by Lu Wang, Lulu Cui, Zihan Song, Min Zheng, Chengyi Li, Xilai Li

Subjects: “…deep learning…”
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Effects of lifetime feeding of hydrolyzed yeast to broiler breeders on egg production, quality, and hatchling attributes by Anderson N. Maina, Hagen Schulze, Elijah G. Kiarie

“…The effects of lifetime feeding of hydrolyzed yeast (HY) to broiler breeders (BB) on egg production, egg quality, and hatchling attributes were investigated. …”
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Image Semantic Recognition Algorithm of Colorimetric Sensor Array Based on Deep Convolutional Neural Network by Xihua Chen, Xing Yang

“…And it is realized by image semantic processing of colorimetric sensor array and deep convolutional neural network processing of imaging. …”
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Exploring the Genotype-Environment Interaction in Sugar Beet (Beta vulgaris L.) Genotypes for Optimal Selection by Mahdi Ramazi, Saeed Sadeghzadeh Hemayati, Heshmat Omidi, Amirmohammad Naji

“…Standard agricultural practices, including weed control, irrigation, fertilizer application, and other farm management activities, were implemented, throughout the cropping season. …”
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Classification and Analysis of <em>Agaricus bisporus</em> Diseases with Pre-Trained Deep Learning Models by Umit Albayrak, Adem Golcuk, Sinan Aktas, Ugur Coruh, Sakir Tasdemir, Omer Kaan Baykan

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Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models by Qanita Bani Baker, Nour Alqudah, Tibra Alsmadi, Rasha Awawdeh

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Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition by Dan Shi, Lixin Song

“…It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. …”
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Transcriptomic analysis of the defense response in “Cabernet Sauvignon” grape leaf induced by Apolygus lucorum feeding by Heng Yao, Suhong Gao, Tianhua Sun, Guona Zhou, Changkuan Lu, Baojia Gao, Wenshu Chen, Yiming Liang

“…Abstract To investigate the molecular mechanism of the defense response of “Cabernet Sauvignon” grapes to feeding by Apolygus lucorum, high‐throughput sequencing technology was used to analyze the transcriptome of grape leaves under three different treatments: feeding by A. lucorum, puncture injury, and an untreated control. …”
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The Deep Mediatization of Student Loans: A Case Study of Digital-based Lending Practice in Indonesia by Ratna Noviani, Elok Santi Jesica

“…This digital-based lending platform provides a Peer-to-Peer (P2P) lending service that aims to cater to higher education students who have been frequently excluded from various lending programs. …”
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Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management by Dan Liu, Xuefei Zheng, Chunqian Dai

“…In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. Through objective entropy weight and imitation, the deep neural network fusion of subjective judgment of experts combines the subjective and objective factors of the evaluation index, then uses the AHP method as the evaluation index of performance evaluation according to the index weight, and finally realizes the accurate evaluation of enterprise economic management.…”
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A comparative analysis of the health monitoring process using deep learning methods for brain tumour by N. Manjunathan, N. Gomathi

“…If IoT technology is used well, it may be possible to treat physically erratic individuals without having to see a doctor often. As a result of this research, a prototype of an Internet of Things–based remote health monitoring system for senior patients has been developed. …”
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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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