Editorial: Biomedical signals and artificial intelligence towards smart robots control strategies by Hassene Seddik, Hassen Fourati, Chiraz Ben Jabeur, Nahla Khraief

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An improved deep CNN-based freshwater fish classification with cascaded bio-inspired networks by Asadullah Shaikh, Wahidur Rahman, Kaniz Roksana, Tarequl Islam, Mohammad Motiur Rahman, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan

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Surface Vessels Detection and Tracking Method and Datasets with Multi-Source Data Fusion in Real-World Complex Scenarios by Wenbin Huang, Hui Feng, Haixiang Xu, Xu Liu, Jianhua He, Langxiong Gan, Xiaoqian Wang, Shanshan Wang

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Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification by Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li

“…Abstract Human speech signals may contain specific information regarding a speaker's characteristics, and these signals can be very useful in applications involving interactive voice response (IVR) and automatic speech recognition (ASR). For IVR and ASR applications, speaker classification into different ages and gender groups can be applied in human–machine interaction or computer‐based interaction systems for customised advertisement, translation (text generation), machine dialog systems, or self‐service applications. …”
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FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface by Tasauf Mim, Md Mahbubur Rahman, Jahanur Biswas, Ahmad Shafkat, Khandaker Mohammad Mohi Uddin

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Generating cervical anatomy labels using a deep ensemble multi-class segmentation model applied to transvaginal ultrasound images by Alicia B. Dagle, Yucheng Liu, Madeline Skeel, Gabriel G. Trigo, David Crosby, Helen Feltovich, Michael House, Qi Yan, Kristin M. Myers, Sachin Jambawalikar

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CULTUROLOGICAL APPROACH AS METHODOLOGICAL BASIS OF MATHEMATICAL EDUCATION by Ye. A. Perminov

“…However, there are some serious obstacles to formation and development of general mathematical culture: insufficient understanding of its importance by society and the state; fragmentary-clipconsciousness, emerging among representatives of the younger generation under the influence of the Internet, and preventing formation of a complete picture of the modern world; traditional system of disjointed subjects and courses in school, secondary vocational and high school mathematics education; non-cognitive (automatic) transferring of the approaches, principles, technologies and techniques into training which are not specific in order to master a course. …”
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hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction by Giulia Cisotto, Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis, Sara L. Manzoni

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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

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Hypotensive episodes on program hemodialysis during dialysis procedure: modern approach for diagnostics, prophylaxis and correction by V. Yu. Shilo, I. Yu. Drachev

“…Crossover design was used in the study: at the beginning, hypotensive episodes were corrected in all patients using the standard method (the first 4 hemodialysis procedures); then during the following 4 procedures in addition to standard methods a computer algorithm automatically controlling ultrafiltration rate using an automatic system of pressure control (ASPC) with constant AP monitoring (AP was measured prior to hemodialysis and after it and at least 1 time in the first 5 min of the procedure; from the 4h procedure onwards, intervals were determined by the algorithm automatically) was used. …”
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THE DIFFERENCES OF THE DURATION OF FAMILY PLANNING PROGRAM REPORT BETWEEN USING GOOGLE SHEETS MEDIA AND MANUAL COUNTING METHOD AT PUSKESMAS SONGGON, SONGGON DISTRICT, BANYUWANGI RE... by Wildan Anugrah Erlangga, Fitri Nurina Septiana, Emilia Eka Arrianti, Prafidina Qualisa, Lukman Hakim, Estya Nadya Meitavany, Ulinnuha Qurrota A'yunin, Ariikah Dyah Lamara, Niswah Silmi Fatimah, Pandu Satriya Adi, Linda Dewanti

“…Based on the results of interviews with the coordinator of the family planning program at the Puskesmas Songgon, their data collection system was still written manually in the Kohort book which must then be classified and processed further to obtain processed data that describes the situation and conditions of the family planning program application in Songgon District. …”
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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

“…This research provides new perspectives on understanding forensic radiology trauma assessment by developing the first deep learning system that detects and classifies gun-related radiographic injuries automatically. …”
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A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders by Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury

“…The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) damage wheels, such as wheel flats and polygonal wheels. This automatic damage identification algorithm is based on the vertical acceleration evaluated on the rails using a virtual wayside monitoring system and involves the application of a two-step procedure. …”
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Developing Effective Techniques for the Recognition of Shanghai Dialect Text by Yida Bao, Zheng Zhang, Mohammad Arifuzzaman, Tran Duc Le, Qi Li, Masuzyo Mwanza, Jiaqing Lin, Philippe Gaillard, Jiafeng Ye

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Learning interpretable network dynamics via universal neural symbolic regression by Jiao Hu, Jiaxu Cui, Bo Yang

“…In this work, we develop a universal computational tool that can automatically, efficiently, and accurately learn the symbolic patterns of changes in complex system states by combining the excellent fitting capability of deep learning with the equation inference ability of pre-trained symbolic regression. …”
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Segmentation of the thoracolumbar fascia in ultrasound imaging: a deep learning approach by Lorenza Bonaldi, Carmelo Pirri, Federico Giordani, Chiara Giulia Fontanella, Carla Stecco, Francesca Uccheddu

“…Therefore, the lack of a clear understanding of the fascial system combined with the penalty related to the setting of the ultrasound acquisition has generated a gap that makes its effective evaluation difficult during clinical routine. …”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

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A Machine Learning Based Vehicle Classification in Forward Scattering Radar by Mohammed E. A. Kanona, Mohamad Y. Alias, Mohamed Khalafalla Hassan, Khalid S. Mohamed, Mutaz H. H. Khairi, Mosab Hamdan, Yassin A. Hamdalla, Omnia M. Osman, Ahmed M. O. Ahmed

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Decoding communicative action vitality forms in social contexts by Radoslaw Niewiadomski, Radoslaw Niewiadomski, Amrita Suresh, Alessandra Sciutti, Giuseppe Di Cesare, Giuseppe Di Cesare

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High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach by Sunny Md. Saber, Kya Zaw Thowai, Muhammad Asifur Rahman, Md. Mehedi Hassan, A.B.M. Mainul Bari, Asif Raihan

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