Acoustic-based models to assess herd-level calves' emotional state: A machine learning approach by Maíra Martins da Silva, Robson Mateus Freitas Silveira, Gean Gobo da Cruz, Karen Airosa Machado de Azevedo, Carla Maris Machado Bittar, Iran José Oliveira da Silva

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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…The main goals of this research are to identify the significant input parameters using supervised machine learning methods and investigate the relationship between the process, structure, and properties of components created using fused deposition modeling utilizing nylon aramid composite filaments. …”
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Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

“…The research was based on the concept of quality by design/quality through development. …”
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Dynamic Vehicle Routing Problems with Enhanced Ant Colony Optimization by Haitao Xu, Pan Pu, Feng Duan

“…Owing to the complexity and significance of the problem, DVRP applications have grabbed the attention of researchers in the past two decades. In this paper, we have two main contributions to solving DVRP. …”
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A simple but effective method for Indonesian automatic text summarisation by Nankai Lin, Jinxian Li, Shengyi Jiang

“…Automatic text summarisation (ATS) (therein two main approaches–abstractive summarisation and extractive summarisation are involved) is an automatic procedure for extracting critical information from the text using a specific algorithm or method. …”
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Implementation of track clustering based on ST DBSCAN by Zhu Yuliang

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Modern approaches for management patients with craniofacial tumors (literature review) by A. S. Dikarev, S. A. Vartanyan, A. A. Martirosyan

“…Minimization of complications is one of the main goals of postoperative patient observation. …”
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Spatiotemporal evolution of interseismic coupling and stress accumulation near an asperity on a vertical strike-slip fault: Insights from three-dimensional viscoelastic numerical s... by LI Yebo, HUANG Luyuan, YAO Rui, TIAN Yiwei, YANG Shuxin

“…Despite its importance, the correlation between the spatial distribution of ISC and the positioning of fault asperities, areas of increased frictional resistance, has not been extensively studied. …”
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Medical and psychological rehabilitation of military servicemen (employees): modern organizational trends and regulatory aspects by Denis V. Smirnov, Petr Y. Naumov, Alexander I. Zemlin

“…Directions for improving legislation in the field of medical and psychological rehabilitation and conducting rehabilitation holidays are noted. The main scientific results will be useful to university teaching staff, healthcare organizers, researchers of military and medical law, personnel of military-political bodies, legal and medical services of various law enforcement agencies of the Russian Federation. …”
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Deep Learning−Driven Exophthalmometry through Facial Photographs in Thyroid Eye Disease by Joonhyeon Park, PhD, Jin Sook Yoon, MD, PhD, Namju Kim, MD, PhD, Kyubo Shin, PhD, Hyun Young Park, MD, PhD, Jongchan Kim, MS, Jaemin Park, MS, Jae Hoon Moon, MD, PhD, JaeSang Ko, MD, PhD

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The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

“…Purpose of the research. The purpose of this research is to study the problems of the features of teaching technologies of modern artificial neural networks for carrying out the procedure of unambiguous authentication of students according to a pre-formed reference base of digital biometric characteristics of the authorized users in the field of distance educational technologies.In the modern world, artificial neural networks are successfully used in both applied and scientific fields. …”
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Collaborative governance model for spoil disposal and gully infill land creation near open-pit coal mines by Shaogang LEI, Jianying ZHANG, Chang LIU, Liang WANG, Zhenwang JIA

“…The suitable stripped rock and soil materials that were originally intended to be dumped in the dumping site are backfilled to adjacent gullies outside the mining area that are suitable for treatment, and finally covered with soil and vegetation construction, in order to save dumping space and reuse land in the gully area. The main technical steps include: extracting the location of the gully to be treated based on the algorithm of constructing concentric rectangular windows inside and outside, optimizing the earthwork allocation path of the waste dump based on the “source sink” theory, backfilling the gully area based on the reshaping of the near natural landform, screening the waste materials and reconstructing the soil layer profile of the gully backfilling, greening and land reuse of the covering soil, and evaluating the ecological effects of collaborative mining and treatment. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…(Mosaic Segmentation), an algorithm that exploits deep learning and image segmentation techniques; the methodology combines U-Net 3 Network with the Watershed algorithm. …”
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Benefits of not smoking during pregnancy for Australian Aboriginal and Torres Strait Islander women and their babies: a retrospective cohort study using linked data by Jonathan M Morris, Carol McInerney, Ibinabo Ibiebele, Jane B Ford, Deborah Randall, David Meharg, Jo Mitchell, Andrew Milat, Siranda Torvaldsen

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Training data in satellite image classification for land cover mapping: a review by Daniel Moraes, Manuel L. Campagnolo, Mário Caetano

“…A protocol of identification and selection of relevant documents was followed, resulting in 114 peer-reviewed studies included. Main research topics were identified and documents were characterized according to their contribution to each topic, which allowed uncovering subtopics and categories and synthetizing the main findings regarding different aspects of the training dataset. …”
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Comparison of in Situ Plant Area Index and Remotely Sensed Leaf Area Index of Northeastern American Deciduous, Mixed, and Coniferous Forests for SMAPVEX19-22 by Christopher L. Cook, Laura Bourgeau-Chavez, Dorthea Vander Bilt, Mary Ellen Miller, Simon Kraatz, Michael H. Cosh, Victoria R. Kelly, Andreas Colliander

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A Multi-Source Data-Driven Analysis of Building Functional Classification and Its Relationship with Population Distribution by Dongfeng Ren, Xin Qiu, Zehua An

“…Buildings, as key factors influencing population distribution, have various functional attributes. Existing research mainly focuses on the relationship between land functions and population distribution at the macro scale, while neglecting the finer-grained, micro-scale impact of building functionality on population distribution. …”
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Transmission of systemic Risk between the banking systems of Asia-Pacific Countries and Russia by S. A. Dzuba, V. S. Tishkovetz, M. A. Shchepeleva

“…The subject of this research is systemic risk transmission between financial sectors in the international financial market.The purpose of our paper is to determine topology characteristics for the network connecting banking systems in the Asia-Pacific region (APR) and Russia. …”
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Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology by Lin Qi, Chaoran Chen, Jun Dong

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Prediction of Shear Wave Velocity Based on a Hybrid Network of Two-Dimensional Convolutional Neural Network and Gated Recurrent Unit by Tengfei Chen, Gang Gao, Peng Wang, Bin Zhao, Yonggen Li, Zhixian Gui

“…Over the last few years, some researchers proposed deep learning algorithms to predict the shear wave velocity using conventional logging data. …”
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