Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example by Lihua Huang, Liudan Mao, YiRong Zhu, YuLing Wang

“…Aiming at the problems of low accuracy, low efficiency, and many parameters required in the current calculation of rock slope stability, a prediction model of rock slope stability is proposed, which combines principal component analysis (PCA) and relevance vector machine (RVM). …”
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A Method for Aileron Actuator Fault Diagnosis Based on PCA and PGC-SVM by Wei-Li Qin, Wen-Jin Zhang, Chen Lu

“…Finally, the GS and CV algorithms are employed to train a one-versus-one SVM for fault classification, thus obtaining the optimal model parameters and assuring the generalization of the trained SVM, respectively. …”
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Ultrasound-based assessment of tongue thickness for prediction of difficult laryngoscopy and intubation by Jhanvi Sunil Furia, Manali Mohan Nadkarni

“…With the increasing familiarity of anaesthesiologists to the use of ultrasound machine and its easy availability and non-invasiveness, we sought to study its utility in airway assessment, by measuring the thickness of tongue, to predict difficult laryngoscopy and intubation. …”
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Artificial intelligence to evaluate diagnosed COVID-19 chest radiographs by Bruno Takara, Felipe Freitas, Alexandre Bacelar, Rochelle Lykawka, Mirko Salomon Alva Sanchez

“…We present a Machine Learning algorithm based on Python which can be used to aid COVID-19 diagnosis. …”
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AIR GAP CONTROL SYSTEM FOR HYDROGENERATORS by I. O. Zaitsev, A. S. Levytskyi, V. E. Sydorchuk

“…To determine the form deviations of the envelope line of the rotor pole from the ideal cylinder, which is one of the main structural defects of the technological errors as results the distortion of the shape of the air gap in the hydrogenator, when the machine was manufacture and assembly. It is proposed to describe the shape of the envelope to use a Fourier transform. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…It supports the development of models to predict human behavior in emergencies using machine learning and predictive modeling and is accessible for both academic and commercial use.…”
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Simulation of the Vibratory Behavior of Slender Shafts Subject to Transverse Loads Moving in the Axial Direction by F. Bucchi, P. Forte

“…In various machines of the manufacturing industry, and in particular in paper converting machinery, there are shafts operating under conditions similar to that of a slender beam subjected to a transverse load moving in the axial direction. …”
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Optimization of IoT-Based Motion Intelligence Monitoring System by Jian Qiao, Zhendong Zhang, Enqing Chen

“…We design and implement an intelligent IoT-based motion monitoring system to realize the monitoring of three important parameters, namely, the type of movement, the number of movements, and the period of movement in physical activities, and optimize the system to support the simultaneous use by multiple users. …”
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A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing by William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

“…The dataset can support machine learning applications for in-situ monitoring, process optimization, and control. …”
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Modeling Process of Forming Flat Surface Tool for Processing Conical Parts by A. S. Kozeruk, R. O. Dias Gonzalez, M. I. Filonova

“…This response is determined by the distribution of the relative sliding speeds and pressure in the contact zone of the tool and the work-piece, as well as the processing time, which are characterized by the geometric and kinematic parameters of the machine operating mechanism and processing modes. …”
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Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing by Mohammad Haris, Swaleha Zubair

“…However, both underloaded and overloaded situations result in a variety of system failures in terms of power consumption, machine failure, and so on. As a result, task-load balancing on virtual machines (VMs) is considered as an important part of cloud task scheduling. …”
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Deep learning to promote health through sports and physical training by Xinyue Li

“…The model integrates heterogeneous time-series data, including physiological parameters (heart rate, blood oxygen levels, respiration rate), activity metrics (steps, distance, calories burned), sleep patterns, and body measurements. …”
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Prediction of Lubrication Performance of Hyaluronic Acid Aqueous Solutions Using a Bayesian-Optimized BP Network by Xia Li, Feng Guo

“…It integrates four operational parameters—applied load, sliding speed, fluid viscosity and contact surface inclination. …”
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Recent advances in design and preparation of bioceramic materials for manufacturing dental crowns by vat photopolymerization by Adel Osama, Noha Fouda, Mohamed T. Eraky

“…The most common additive manufacturing method is vat photopolymerization in which ceramic slurry is accurately prepared and then introduced into a 3d printing machine under the control of the vat photopolymerization process performance parameters then the printed part is introduced into the heat treatment process then we characterize the manufactured part to conform its performance with the required properties of the product. …”
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Identification of hateful amharic language memes on facebook using deep learning algorithms by Mequanent Degu Belete, Girma Kassa Alitasb

“…Following that, the vectors are fed into Machine learning algorithms: NB, DT, RF, KNN, LSVM and LR, and deep learning models that are based on Dense, BiGRU, and BiLSTM algorithms. …”
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A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

“…Then, extreme learning machine (ELM) is used to predict the low-frequency subsequence obtained by VMD-DE. …”
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Risk assessment and «Safety culture» lifting devices by Prusov A.Yu.

“…Load gripping devices are used in any lifting operation and are used to attach the load to the construction machine, in most cases, to the crane hook. The most important quality of the product — safety-depends on the correct choice of the device, its technical characteristics, reliability parameters, as well as competent operation and application. …”
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Stokes flows in a two-dimensional bifurcation by Yidan Xue, Stephen J. Payne, Sarah L. Waters

“…We parametrize the flow conductances of 2D bifurcation as functions of the dimensionless parameters of bifurcation geometry and a fixed object using a machine learning approach, which is simple to use and provides more accurate approximations than Poiseuille’s law. …”
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Determination of the KIC Fracture Toughness of the X210Cr12 High-Strength Material by Ergun ATEŞ

“… Purpose: It is an important problem that the machines become unusable due to the deformation of the machine elements produced before the planned time. …”
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A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions by Ryotaro Okamoto, Hiroyuki Oguma

“…Advancements in machine learning-based audio recognition have significantly contributed to ecoacoustics. …”
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