Optimization Design and Simulation Analysis of Horse Riding Machine based on Human Factor Engineering by Jie Huang, Zhanshu He

“…Through the analytical and simulation analysis of structural dimensions of the horse riding machine， the movement characteristics of the saddle， the pedal and the armrest， the dimensional parameters of important components are determined， which verified the rationality of the structural design. …”
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Experimental evaluation of traction characteristics of the multi-support irrigation machine "Kuban-LK1" by Ryazantsev Anatoly, Evseev Evgeny, Antipov Alexey, Malko Igor

“…The article proves that the optimization of the running gear parameters for the multi-support irrigation machine "Kuban-LK1" is based on optimizing the "rain - irrigation surface - irrigation machine" system, which determines the energy-traction properties of the machine. …”
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MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning by Krishna Prakash, Musam Naga Harshitha, Golla Naga Lakshmi, Pallem Moses, Madala Sumanth Chowdary, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K. S. Al-Mugren

“…It is a wearable T-shirt that continuously monitors and predicts physiological parameters such as stress and heart rate fluctuations. …”
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Prediction of room temperature in Trombe solar wall systems using machine learning algorithms by Seyed Hossein Hashemi, Zahra Besharati, Seyed Abdolrasoul Hashemi, Seyed Ali Hashemi, Aziz Babapoor

“…A Trombe wall-heating system is used to absorb solar energy to heat buildings. Different parameters affect the system performance for optimal heating. …”
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Dynamic flood risk prediction in Houston: a multi-model machine learning approach by Shuchi Mishra, Aproorv Bajpai, Agradeep Mohanta, Biplab Banerjee, Shrishti Rajput, Sudipta Kundu

“…In assessing flood susceptibility in Houston, key geographical parameters such as drainage density, slope, distance from rivers and roads, LULC, and rainfall data were analyzed using machine learning models, including Decision Trees, Random Forest, Gradient Boosting, SVM, and ANN. …”
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Mining method for cutting force coefficient with the impact of tool vibration and machine tool system by Xi Chen, Qi Wang, Wengang Chen, Jianzhe Sun, Yafeng He, Hun Guo

“…The cutting characteristics observed in machining processes are significantly influenced by a combination of various dynamic parameters as well as the overall machine tool system in use. …”
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Comparative Analysis of Inner and Outer Rotor Surface PM Machines Based on Optimization Dataset by Dong Myeong Choi, Seun Guy Min

“…Overall, this study provides valuable insights for researchers, particularly those involved in the initial design stage of SPM machines for both rotor types.…”
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Numerical Investigation on Vibration Performance of an Improved Switched Reluctance Machine with Double Auxiliary Slots by Zhengyuan Gao, Shanming Wang, Zhiguo An, Pengfei Sun

“…Considerable vibration and acoustic noise limit the further application of Switched Reluctance Machine (SRM) due to its structural characteristics and working principle. …”
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Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine by Mohamed Amine Fnaiech, Mohamed Trabelsi, Ayman Al-Khazraji, Maamar Taleb, Hani Vahedi

“…To achieve this, a full-order transfer function of the MRASF is employed to systematically derive the PID parameters using compensation and pole placement techniques. …”
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Operation Analysis of the Floating Derrick for Offshore Wind Turbine Installation Based on Machine Learning by Jia Yu, Honglong Li, Shan Wang, Xinghua Shi

“…To investigate the influencing factors on the operation of an offshore wind turbine installation ship, a neural network, as a machine-learning method, is built to predict and analyze the motion response of a floating derrick in the process of a lifting operation under an external environmental load. …”
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Influence of Cryogenic Treatment of Cutting Tools on the Machinability Characteristics of Materials: A Comprehensive Review by Shahnaza Akhter, M. Jebran Khan, M.F. Wani, Mohammad Arif Parray, Shuhaib Mushtaq

“…The effect of cryogenic treatment on performance parameters of cutting tools directly affects the tool life and productivity and same has been analyzed in this review paper. …”
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A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites by Yu Lingjie, Zhi Chao, Sun Zhiyuan, Guo Hao, Chen Jianglong, Dong Hanrui, Zhu Mengqiu, Wang Xiaonan

“…While hierarchical multiscale simulation frameworks exist to optimize the structure parameters, their wide applications were hindered by the high computational cost. …”
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A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies by Yuzhou Hou, Xuanhua Xu, Zongrun Wang, Weiwei Zhang

“…Next, a function of the degree of manipulation tendency is constructed based on the extreme opinion expression and influence behaviors of individuals. Then, a machine moderator is trained to manage manipulative behaviors via the feedback adjustment parameters of the human group’s social network, and a human-machine collaborative decision-making mechanism is constructed. …”
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Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms by P. Visvanathan, P.M. Durai Raj Vincent

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Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era by Gabriel James, Anietie Ekong, Aloysius Akpanobong, Enefiok Etuk, Saviour Inyang, Samuel Oyong, Ifeoma Ohaeri, Chikodili Orazulume, Peace Okafor

“…This study models a system that employs a Random Forest algorithm for prediction and classification, using age, gender, hours spent, and technological experience as parameters to categorize stress into high, moderate, and low levels. …”
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Evaluating the impact of self-service cash deposit machines on the performance of commercial banks in Tanzania by Ally Mohamed Ismail, Dickson Pastory

“…Abstract This study aims to evaluate the impact of utilization of self-service cash deposit machines (SSCDMs) on the financial performance of Tanzanian commercial banks, focusing on key parameters like capital adequacy, asset quality, management quality, earning ability, and liquidity. …”
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Machine learning-based estimation of seismic structural damage via an accessible web application by Vasile Calofir, Mircea-Ștefan Simoiu, Ruben-Iacob Munteanu, Emil Calofir, Sergiu-Stelian Iliescu

“…The platform utilizes gradient boosting, a machine learning algorithm selected as the most effective after evaluating several alternatives. …”
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A machine learning neural network architecture for the accelerating universe based modified gravity by Zulqurnain Sabir, Basma Souayeh, Zahraa Zaiour, Alyn Nazal, Mir Waqas Alam, Huda Alfannakh

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Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning by Zhiyuan Wang, Xiaogang Hu, Gan Li, Zhen Xu, Hongxing Lu, Qiang Zhu

“…However, the quality of these components is highly susceptible to variations in both environmental conditions and process parameters, leading to a narrow process window that restricts its widespread application in engineering. …”
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Neural Machine Translation of Seismic Ambient Noise for Soil Nature and Water Saturation Characterization by José Cunha Teixeira, Ludovic Bodet, Agnès Rivière, Santiago G. Solazzi, Amélie Hallier, Alexandrine Gesret, Sanae El Janyani, Marine Dangeard, Amine Dhemaied, Joséphine Boisson Gaboriau

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