A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I by J. Faiz, A. M. Takbash, E. Mazaheri-Tehrani

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Numerical Simulation of Mixing Characteristics in the Eccentric Rotor Extruder with Different Process Conditions and Structural Parameters by De-jun Fan, Ming-kai Yang, Zhi-gao Huang, Jin-song Wen

“…Numerical simulation was performed with the computational fluid dynamics analysis software POLYFLOW to investigate the influence of different process conditions and structural parameters on mixing characteristics of the eccentric rotor extruder. …”
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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

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Evolved Motor Design Process to Reduce the Design Expense of Axial Flux Permanent Magnet Motor by Jong-Min Ahn, Dong-Kuk Lim, Min-Mo Koo

“…This paper proposes a design process that combines an initial electromagnetic design using analytical techniques with an optimal design based on a multi-objective optimization algorithm, aiming to reduce the design cost of an axial flux permanent magnet motor for urban air mobility traction. …”
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Research on Thermal Field Dynamic Response in Air- conditioning Room during Start- Up Process by 张欢, 宋国军, 王志刚, 李瑞新, 李秋生

“…In this study, Fluent as a computational fluid dynamic software was used to simulate the process of unsteady heat conduction and convection of the air in an air - conditioning room during the start - up process of the air - conditioning instruments. …”
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Surrogate-Assisted Multi-Objective Snow Goose Algorithm With Gaussian Process for Cold Chain Logistics by Jian Wu, Zong-Juan Yang, Zhi-Gang Du, Ai-Qing Tian

“…The optimization is conducted within essential operational constraints, such as temperature regulation, vehicle loading capacities, and specified delivery time windows. To address the computational complexity and high evaluation costs of the objective functions, the GP-SAMOSGA integrates a Gaussian Process (GP) surrogate model with the Multi-Objective Snow Goose Algorithm (MOSGA). …”
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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

“…Based on process signatures, the framework provides a data-driven approach to monitoring and optimizing machining processes in real-time.…”
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Fully convolutional neural networks for processing observational data from small remote solar telescopes by Piotr Jóźwik-Wabik, Adam Popowicz

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Advanced Signal Processing Algorithm-Based State Estimation and Denoising of ECG Signals for Biomedical Applications by Saad Arif, Mohammad Maroof Maroof Siddiqui, Nayef Alqahtani, Kamran Shah, Muhammad Attique Attique Khan, Naoufel Kraiem

“…The simulation results validate that the PF-based state estimation framework is not only more precise and robust to noise but also computationally efficient, making it ideal for ECG signal processing in wearable health monitoring and real-time cardiac diagnostics.…”
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Statement of the problem modeling the process vacuum microwave drying for determining temperature fields in foamed suspensions by V. V. Tkach, G. O. Magomedov, A. A. Shevtsov

“…The aim of the study is to formulate a mathematical model of the process of vacuum microwave drying to determine the temperature fields in foamed suspensions. …”
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Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing by Bushra Kanwal, Arooj Iman, Shamsa Kanwal, Amal K. Alkhalifa

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Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

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Cost-effective PV panel cleaning system controlled by raspberry PI using image processing by Uçkan Gökhan, Oğuzay Engin

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Physics-Informed Neural Network for monitoring the sulfate ion adsorption process using particle filter by WANCLEY O. PEDRUZZI, CARLOS EDUARDO R. DALLA, WELLINGTON B. DA SILVA, DAMARIS GUIMARÃES, VERSIANE A. LEÃO, JULIO CESAR S. DUTRA

“…In this work, we proposed using an emerging computational approach of a physic-informed neural network (PINN) that uses artificial intelligence to solve the partial differential equation model of adsorption. …”
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Multi-Control-Volume Analysis of the Compression Process in a High-Temperature Root's Type Compressor by David I. Blekhman, Joseph C. Mollendorf, James D. Felske, John A. Lordi

“…In this study we have modeled a high-temperature Root's type compressor and compared predicted results with measurements. Compression process is modeled using multiple control volumes. …”
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Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics by Kenji Ueda, Masaki Nishiura

“…While positive-valued posteriors have previously been introduced through sampling-based approaches in the original GPT method, our alternative approach implements a logarithmic Gaussian process (log-GP) for faster computation and more natural enforcement of non-negativity. …”
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A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems by Mahmoud Ibnouf, Hadi Jaber, Hadil Abukhalifeh, Mohammed Ghazal, Mohamad Ramadan, Mohammad Alkhedher

“…This is especially true for process modelling where the impact is expected to expand. …”
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

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Feasibility Study of Signal Processing Techniques for Vibration-Based Structural Health Monitoring in Residential Buildings by Fedaa Ali, Leila Donyaparastlivari, Seyed Ghorshi, Abolghassem Zabihollah, Mohammad Alghamaz, Alwathiqbellah Ibrahim

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