A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). Most fault detection machine learning applications were focused on predictive maintenance, specifically in mechanical equipment (bearings, machines in general, and assembly lines). …”
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Heuristic mobile data gathering for wireless sensor networks via trajectory control by Jianxin Ma, Shuo Shi, Xuemai Gu, Fanggang Wang

“…This article focuses on the problem of scheduling the optimal paths of multiple mobile elements (e.g. robots, vehicles, etc.) to minimize the travel distance and balance the energy consumption and the data gathering latency in wireless sensor networks for smart cities. …”
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MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis by Yulong He, Lin Sun, Zhendong Sun, Xueqian Hu

“…In this study, 80 Aerosol Robotic Network data worldwide were selected as the evaluation basis to quantitatively analyse and verify the adaptability and accuracy of different aerosol inversion algorithms on various underlying surfaces. …”
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The Promise of Artificial Intelligence in Neuroanesthesia: An Update by Zhenrui Liao, Niharika Mathur, Vidur Joshi, Shailendra Joshi

“…It will advance the diagnosis and treatment of neurological diseases due to improved risk identification, data integration, early diagnosis, image analysis, and pharmacological and surgical robotic assistance. Beyond direct medical care, AI could also automate many routine administrative tasks in health care, assist with teaching and training, and profoundly impact neuroscience research. …”
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An analysis of innovations in business models: the case of Medlife’s sustainability report by Miruna Iuliana Cunea

“…The findings reveal that the innovation is emphasized through research conducted to combat the SARS-CoV-2 virus and through the adoption of digital technologies including telemedicine and robotic surgery. However, gaps remain in the use of emerging technologies such as artificial intelligence, blockchain, cloud computing, and the Internet of Medical Things (IoMT), which could further enhance sustainability efforts. …”
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An Approach for the Impact Dynamic Modeling and Simulation of Planar Constrained Metamorphic Mechanism by Yanyan Song, Boyan Chang, Guoguang Jin, Zhan Wei, Bo Li

“…The theory and method proposed in this paper can be also applied in general planar robotic systems to deal with the problem of internal collision dynamics.…”
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Mechanism and Design Analysis of Articulated Ankle Foot Orthoses for Drop-Foot by Morshed Alam, Imtiaz Ahmed Choudhury, Azuddin Bin Mamat

“…Robotic technologies are being employed increasingly in the treatment of lower limb disabilities. …”
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Short-term calving front dynamics and mass loss at Sálajiegna glacier, northern Sweden, assessed by uncrewed surface and aerial vehicles by Florian Vacek, Clemens Deutsch, Jakob Kuttenkeuler, Nina Kirchner

“…At Sálajiegna, the largest freshwater calving glacier in Sweden, we explored the combined use of a versatile maritime robot (uncrewed surface vehicle, USV) and a UAV to characterise Sálajiegna's short-term and seasonal calving front dynamics and mass loss. …”
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Destrukcyjna siła języka oprawców i potęga mowy ojczystej ofiar — esej o różnych obliczach języka jako wartości w kontekście totalitaryzmu sowieckiego by Jarosław Pacuła

“…Sytuacje ekstremalne, do których niewątpliwie należą sytuacje przymusowego zesłania, przesiedlenia, robót i uwięzienia, odkrywają co najmniej kilka odmiennych i nierzadko sprzecznych ze sobą obrazów języka jako wartości i wartości języka, zależnych od przyjmowanej perspektywy patrzenia na niego i dostrzegania w nim potencjału niezbędnego do realizacji określonych, własnych celów. …”
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EMG Dataset for Gesture Recognition with Arm Translation by Iris Kyranou, Katarzyna Szymaniak, Kianoush Nazarpour

“…Abstract Myoelectric control has emerged as a promising approach for a wide range of applications, including controlling limb prosthetics, teleoperating robots and enabling immersive interactions in the Metaverse. …”
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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…Estimating the camera’s pose given images from a single camera is a traditional task in mobile robots and autonomous vehicles. This problem is called monocular visual odometry and often relies on geometric approaches that require considerable engineering effort for a specific scenario. …”
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Multi-parameter Identification of Underwater Equipment Joint Motor by Lin SHI, Qiao HU, Xindong SHI, Liangjie SUN, jian ZHANG, Haiyang LIU

“…With the rapid development of unmanned undersea systems, joint motors play an important role as the core driving devices of underwater robots, underwater manipulators, and other underwater equipment. …”
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A Dynamic Territorializing Approach for Multiagent Task Allocation by Mohammad Islam, Mehdi Dadvar, Hassan Zargarzadeh

“…In this paper, we propose a dynamic territorializing approach for the problem of distributing tasks among a group of robots. We consider the scenario in which a task comprises two subtasks—detection and completion; two complementary teams of agents, hunters and gatherers, are assigned for the subtasks. …”
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Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network by Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song

“…It is difficult to develop a precise force tracking control approach for the exoskeleton because of the dynamics model uncertainty, external disturbances, and unknown human–robot interactive force lied in the system. In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. …”
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A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

“…Abstract Cavitation is a technical challenge for high-speed underwater vehicles, such as nuclear submarines and underwater robots, et al. The cavitation phenomena of hydrofoils are typically studied through water tunnel experiments or numerical simulations, which yield extensive cavitation images. …”
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Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor by Yijun Ji, Qing Xia, Zhijiang Zhang

“…3D reconstruction based on structured light or laser scan has been widely used in industrial measurement, robot navigation, and virtual reality. However, most modern range sensors fail to scan transparent objects and some other special materials, of which the surface cannot reflect back the accurate depth because of the absorption and refraction of light. …”
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Scalable fabrication of an array-type fixed-target device for automated room temperature X-ray protein crystallography by Sarthak Saha, Yaozu Chen, Silvia Russi, Darya Marchany-Rivera, Aina Cohen, Sarah L. Perry

“…Inspired by grid-style devices that have been reported in the literature, we have developed an X-ray compatible microfluidic device that can be used to trap protein crystals in an array configuration, while also providing excellent optical transparency, a low X-ray background, and compatibility with the robotic sample handling and environmental controls used at synchrotron macromolecular crystallography beamlines. …”
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The ways of protecting the medical confidentiality by A.R. Davletshin

“…The paper also discusses the above-mentioned ways of protecting the violated civil rights. With the help of robotic programs and existing databases, a modern judicial practice on disputes related to the violation of the patient's rights to medical confidentiality has been thoroughly analyzed.…”
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Radial and Sigmoid Basis Function Neural Networks in Wireless Sensor Routing Topology Control in Underground Mine Rescue Operation Based on Particle Swarm Optimization by Mary Opokua Ansong, Hong-Xing Yao, Jun Steed Huang

“…In times of danger and unsafe situations, data-mule robot with Through The Earth (TTE) radio would be used to carry water, food, equipments, and so forth to miners underground and return with information. …”
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Emerging technologies and language learning: mining the past to transform the future by Hubbard Philip

“…Today’s emerging technologies—artificial intelligence, machine learning, conversational robots, virtual worlds, virtual reality, augmented reality, automated assessment, and so on—are full of promise and seem poised to revolutionize language teaching and learning over the next decade. …”
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