Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms by Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad

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Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models by F M Bayo-Muñoz, A Malagón-Romero, A Luque

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Retracted: Deep Learning for Decision Element Extraction in Fact Description of Legal Documents by Advances in Multimedia

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Hardware Efficient Speech Enhancement With Noise Aware Multi-Target Deep Learning by Salinna Abdullah, Majid Zamani, Andreas Demosthenous

Subjects: “…Deep neural network…”
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Fault Feature Extraction and Diagnosis of Gearbox Based on EEMD and Deep Briefs Network by Kai Chen, Xin-Cong Zhou, Jun-Qiang Fang, Peng-fei Zheng, Jun Wang

“…In this paper, a novel fault diagnosis method based on ensemble empirical mode decomposition (EEMD) and Deep Briefs Network (DBN) is proposed to treat the vibration signals measured from gearbox. …”
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Surface Settlement Damage Model of Pile-Anchor Supporting Structure in Deep Excavation by Yuanxun Li, Wuyu Zhang, Ningshan Jiang, Hui Li

“…In damage mechanics, the deep excavation of soil is a process of damage development, and soil failure can be considered a process of continuously transforming undisturbed soil to damaged soil. …”
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Real-Time Plant Health Detection Using Deep Convolutional Neural Networks by Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbała, Hafiz Tayyab Rauf

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Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks by Ajay. P, Nagaraj. B, Ruihang Huang

“…This study focuses on various deep learning strategies used in peer-to-peer communication networks. …”
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The influence of disturbance location and intensity on the deformation and failure of deep roadway surrounding rocks by Tao Zhang, Yunyun Xu, Chao Wei, Haijian Su, Yujie Feng, Liyuan Yu

Subjects: “…deep high-stress roadway…”
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Effect of Glucosamine and Ascorbic Acid Addition on Beef Burger Textural and Sensory Attributes by Philip Soladoye, Yuliya Hrynets, Mirko Betti, Zeb Pietrasik

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Effect of Ilex x meserveae Aqueous Extract on the Quality of Dry-Aged Beef by Anna Marietta Salejda, Aleksandra Szmaja, Łukasz Bobak, Anna Zwyrzykowska-Wodzińska, Anna Fudali, Przemysław Bąbelewski, Maciej Bienkiewicz, Grażyna Krasnowska

“…The effect of meat marinating with aqueous extract of Ilex meserveae dried leaves on dry-aged beef quality was investigated. Shear force, TBARS value, color parameters, fatty acid profile, and sensory properties were evaluated in beef cuts dry-aged for 21 days. …”
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Organoleptic and physicochemical of meltique beef steak injected with varying concentrations of coconut oil by Permata Sari Dian, Apriantini Astari, Budiman Cahyo, Cipta Dainy Nunung, Humayrah Wardina, Lesa Aditia Edit

“…Meltique is a processed type of beef created by injecting vegetable fat to create marbling similar to the appearance of Wagyu beef. …”
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Aggregating, Summarizing, and Restructuring News-Related Tweets into Compositions Using Deep Learning by Richa Sharma, Anjali Thukral, Yatin Kapoor, Ashwani Varshney, Punam Bedi

“…With the advent of microblogging platforms like Twitter, there has been a substantial shift toward digital media for getting acquainted with ongoing global issues. …”
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Prediction of the Loss of Feed Water Fault Signatures Using Machine Learning Techniques by Anselim M. Mwaura, Yong-Kuo Liu

“…This study sought to develop, examine, compare, and contrast three robust machine learning methodologies of adaptive neurofuzzy inference system, long short-term memory, and radial basis function network by modeling the loss of feed water event using RELAP5. The performance indices of residual plots, mean absolute percentage error, root mean squared error, and coefficient of determination were used to determine the most suitable algorithms for accurately diagnosing the loss of feed water transient signatures. …”
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Clinically oriented automatic three-dimensional enamel segmentation via deep learning by Wenting Yu, Xinwen Wang, Huifang Yang

Subjects: “…Deep learning…”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

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Deep penetrating nevus on the dorsum of the foot: Report of a case with ultrasound features by Rui Cong, Wei Zhang, Shasha Shi

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Analysis of Thermal Environment and Its Influencing Factors in Deep Stope of Metal Mine by Shuang You, Jincui Sun, Hongguang Ji, Qixing Feng

“…In order to scientifically evaluate the thermal environment of the deep stope and its influencing factors, research was conducted on the thermal environment in Sanshandao Gold Mine, the theoretical calculations and structural analysis of heat release from 8 types of heat sources in the three sub-levels of -930 m, -945 m, and -960 m were carried out, and quantitative characterization was made on the influential degree of comprehensive heat release on the thermal environment, and it was clear that the heat release from the surrounding rock and mechanical and electrical equipment were the main parts at the deep mining site and the proportion of heat release from other heat sources is basically stable. …”
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Determination of fungal genera composition and total toxicity of feed produced in the Republic of Crimea by S. S. Ibragimova, O. V. Pruntova, S. I. Danilchenko, Ye S. Yerofeeva

“…A total of 252 samples including 124 grain feed samples, 70 forage samples, 58 mixed feed samples were selected for testing. …”
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When Long Noncoding RNAs Meet Genome Editing in Pluripotent Stem Cells by Fuquan Chen, Jiaojiao Ji, Jian Shen, Xinyi Lu

“…The physiological functions of protein-coding genes have been extensively characterized through genome editing in pluripotent stem cells (PSCs) in the past 30 years; however, the study of lncRNAs with genome editing technologies only came into attentions in recent years. …”
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