Artificial Intelligence and Applications

Stochastic Dual Coordinate Ascent for Learning Sign Constrained Linear
Predictors

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Miya Nakajima, Rikuto Mochida, Yuya Takada and Tsuyoshi Kato, Gunma University,
Japan






Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value
Identification

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Linfeng Jiang and Yuan Zhu, Engineering Research Center of Intelligent Technology for Geo-Exploration, China






Monocular Depth Estimation Using a Deep Learning Model with Pre-Depth
Estimation based on Size Perspective

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Takanori Asano and Yoshiaki Yasumura, Shibaura Institute of Technology, Japan






Big Data, IOT & NLP




Teaching Reading Skills More Effectively

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Julia Koifman, Israel






Computer Science and Information Technology




Methodology of Measurement Intellectualization based on Regularized Bayesian
Approach in Uncertain Conditions

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Svetlana Prokopchina¹ and Veronika Zaslavskaia², ¹Financial University under the Government of the Russian Federation, Russia, ²Zello Russia, "Artificial Intelligence" Committee of "RUSSOFT" Association, Russia






AI, Machine Learning in Communications and Networks




Batch-Stochastic Sub-Gradient Method for Solving Non-Smooth Convex Loss
Function Problems

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KasimuJuma Ahmed, Federal Polytechnic Bali, Nigeria