Non-Contact Oxygen Saturation Estimation Using Deep Learning Ensemble Models and Bayesian Optimization by Andrés Escobedo-Gordillo, Jorge Brieva, Ernesto Moya-Albor

“…We tested the method on 18 healthy subjects, where facial videos of the subjects, including the automatic detection of the reference from a contact pulse oximeter device, were acquired. …”
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Weed detection based on deep learning from UAV imagery: A review by Lucía Sandoval-Pillajo, Iván García-Santillán, Marco Pusdá-Chulde, Adriana Giret

“…This subsequently facilitates the implementation of specific control mechanisms in real environments. Recently, automatic weed detection techniques have been developed using UAV imagery. …”
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LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation by Mohammed Azzakhnini, Houda Saidi, Ahmed Azough, Hamid Tairi, Hassan Qjidaa

“…Centralized architectures do not present the ideal solution due to the high cost, processing time issues, and network bandwidth overhead. …”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…In this quickly developing world, automatic currency identification and recognition are crucial tasks. …”
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Model-based analysis of construction design of technological adapter for magnetic-pulse processing of plants in horticulture by D. O. Khort, P. A. Filippov, A. I. Kutyrev

“…Classification of the agricultural technological adapters is presented. Analysis of it showed that the electrocylinders with electronic control elements placed on a frame are suitable for construction of a technological adapter of MPP of plants better. …”
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Experimental digital atlas of blood supply zones of the internal carotid artery by Ilya L. Gubskiy, Daria D. Namestnikova, Elvira A. Cherkashova, Ivan S. Gumin, Leonid V. Gubsky, Vladimir P. Baklaushev, Vladimir P. Chekhonin, Konstantin N. Yarygin

“…Rats are the main species of laboratory animals, in which the studies of modeling the ischemic stroke, of testing the cerebroprotective drugs and of developing new strategies of regenerative therapy of stroke consequences are carried out. At the present moment, there is no available and comprehensive digital atlas of the arterial blood supply of the rat brain, while single research works are based on small groups of animals and their histological description. …”
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Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation by Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen

“…Finally, we propose an automatic grading algorithm based on the segmentation masks to provide actionable disease severity levels. …”
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A data generator for covid-19 patients’ care requirements inside hospitals by Juan A. Marin-Garcia, Angel Ruiz, Maheut Julien, Jose P. Garcia-Sabater

“…This paper presents the generation of a plausible data set related to the needs of COVID-19 patients with severe or critical symptoms. …”
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PRINCIPLES OF RE-ENGINEERING METHODOLOGY FOR TECHNOLOGICAL PROCESS IN PROCESSING OF RAW MATERIAL COMPONENTS WHILE PRODUCING CEMENT AND SILICATE PRODUCTS by I. A. Busel, P. I. Busel

“…In addition to this such approach gives an opportunity to control processes in real time by immediate adjustments of technological equipment operational modes.The paper considers an approach to the development of re-engineering methodology for technological process in grinding of raw material components while producing construction materials. The present state of technological grinding process is presented in the paper. …”
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Robust Segmentation of Partial and Imperfect Dental Arches by Ammar Alsheghri, Ying Zhang, Golriz Hosseinimanesh, Julia Keren, Farida Cheriet, François Guibault

“…Automatic and accurate dental arch segmentation is a fundamental task in computer-aided dentistry. …”
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Vulnerability and Attack Repository for IoT: Addressing Challenges and Opportunities in Internet of Things Vulnerability Databases by Anna Felkner, Jan Adamski, Jakub Koman, Marcin Rytel, Marek Janiszewski, Piotr Lewandowski, Rafał Pachnia, Wojciech Nowakowski

“…We highlight multiple unique features of our solution, such as aggregation, correlation, and enrichment of known vulnerabilities and exploits collected from 12 different sources, presentation of a timeline of threats, and combining vulnerability information with exploits. …”
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Energy efficiency assessment of the 3ES5K electric locomotives when using interval regulation technology in the form of "virtual coupling" by S. V. Vlas'yevskiy, O. A. Malysheva, N. G. Shabalin, V. V. Semchenko

“…This method is implemented through the introduction of technology for interval regulation of train traffic. More advanced at present is the technology of interval regulation of train operation according to the "virtual coupling" type, which organizes the operation of trains with a minimum interval between them, which is safe for motion at and between stations. …”
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems. …”
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Fuzzy Computation Tree Temporal Logic with Quality Constraints and Its Model Checking by Xianfeng Yu, Yongming Li, Shengling Geng, Huirong Li

“…These application examples also verify that the QFCTL and QFCTL* model-checking algorithms proposed in this article are automatic and effective.…”
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Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach by Artur Krolik, Radosław Drelich, Michał Pakuła, Dariusz Mikołajewski, Izabela Rojek

“…This paper presents the use of noncontact ultrasound for the nondestructive detection of defects in two plastic plates made of polyamide (PA6) and polyethylene (PE). …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…This study presents a novel dynamic machine learning based explainable fusion approach to address the issues of process monitoring in industrial and chemical process systems. …”
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Toward an enhanced policy and action framework to address energy poverty in the Iberian Peninsula: An exploratory analysis by Roberto Barrella, Pedro Palma, João Pedro Gouveia, José Carlos Romero, Eva Arenas, José Ignacio Linares

“…Additionally, it analyses the potential stakeholder networks that might contribute to mitigating energy poverty.Findings show good practices to be fostered but shortcomings in policy reach and the impact of some programs. An automatic cash transfer covering all necessitated energy services might be a valid solution for both countries to mitigate energy vulnerability in the short run. …”
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Approximation of the soil particle-size distribution curve using a NURBS curve by Adéla Marie Marhoul, Tomáš Herza, Josef Kozák, Jaroslava Janků, Jan Jehlička, Luboš Borůvka, Karel Němeček, Miroslav Jetmar, Petr Polák

“…Soil particle-size distribution or soil texture presents one of the most important physical properties. …”
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MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data by Nami Sakamoto, Takaki Oka, Yuki Matsuzawa, Kozo Nishida, Jayashankar Jayaprakash, Aya Hori, Makoto Arita, Hiroshi Tsugawa

“…However, annotation confidence still relies on manual curation by analytical chemists, despite the development of various software tools for automatic spectral processing based on rule-based fragment annotations. …”
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Novel Multi-Scale Attention Generative Adversarial Network for Photovoltaic Solar Cell Defect Inspection Using Electroluminescence Images by Yuanjun Guan, Yang Liu, Jiayi Wang, Tao Wang, Qianchuan Yi, Wenxin Jiang, Xiaopu Gu, Yichen Zhang, Li Zhang, Tianyan Han, Binbing Huang, Lilei Hu

“…This paper presents a novel Multi-Scale Attention Generative Adversarial Network (MAGAN), an innovative GAN-based framework specifically designed for data augmentation in the context of solar cell defect detection. …”
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