Patient Behavioral Analysis with Smart Healthcare and IoT by Anurag Tiwari, Viney Dhiman, Mohamed A. M. Iesa, Haider Alsarhan, Abolfazl Mehbodniya, Mohammad Shabaz

“…Analyzing the patient’s behavior helps in determining the root cause of the disease. In traditional healthcare, patient behavioral analysis has lots of challenges that were much more difficult. …”
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Enhanced tracking control for n-DOF robotic manipulators: A fixed-time terminal sliding mode approach with time delay estimation by Saim Ahmed, Ahmad Taher Azar

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Machine Learning Techniques In Wdm-Fso Systems: Comparative Study by Ranim Younes, Mohammad Nassr

“…Furthermore, machine learning algorithms were used to predict the quality factor of the proposed system and then the performance metrics R2 and RMSE (Root Mean Square Error) were used to compare between the algorithms. …”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

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Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset by Bo Zhang, Zekai Shi, Danfeng Hong, Qi Wang, Jian Yang, Haoyuan Ren, Meng Zhang

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Hemoglobin level and common mental disorder among school adolescent girls in Central Ethiopia: Structural Equation Model by Shemsu Kedir, Kalkidan Hassen Abate, Bekri Mohammed, Behre Dari Mosa, Yasin Awol Wabe, Kalid Sherefa Reshid, Legese Petros, Musa Jemal, Beyene Wondafrash Ademe

“…Goodness of fit was assessed using the χ2The ‐test statistic, Comparative Fit Index, Root Mean Square Error of Approximation, Standardised Root Mean Square Residual, Non‐Normed Fit Index, Pclose and coefficient of determination (R2). …”
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INFO-RF-based fault diagnosis and analysis method for busbars by Chen Xue, Jian Zhu, Haiou Cao, Yan Gu, Siyu Chen

“…Abstract With the continuous expansion of power system scale and advancements in intelligence, the accuracy and timeliness of busbar fault diagnosis-an essential component of the power system-are crucial for ensuring the safe and stable operation of the grid. …”
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Reconstruction of 12-lead ECG: a review of algorithms by Ekenedirichukwu N. Obianom, G. André Ng, G. André Ng, G. André Ng, G. André Ng, Xin Li, Xin Li, Xin Li

“…Linear and nonlinear (including artificial intelligence) algorithms showed promising performances. …”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…To overcome these limitations, we propose a deep reinforcement learning framework based on the Deep Deterministic Policy Gradient (DDPG) algorithm, optimized using the Root Mean Square Propagation (RMSprop) method for stable and efficient training. …”
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Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model by Miaoxuan Shan, Chunlin Ye, Peng Chen, Shufan Peng

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Identification of soil texture and color using machine learning algorithms and satellite imagery by Jiyang Wang

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Forecasting the vapor pressure deficit in vertical farming facilities aiming to provide optimal indoor conditions by Carlos Alejandro Perez Garcia, Dafni Despoina Avgoustaki, Enrica Santolini, Daniele Torreggiani, Thomas Bartzanas, Patrizia Tassinari, Marco Bovo

“…The model shows high accuracy and reliability with a root mean squared error (RMSE) of 34.80 and a mean absolute error (MAE) of 25.28. …”
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Meteorological drought severity forecasting utilizing blended modelling by Aaditya Ahire, Nilima Zade, Umeed Mujawar, Dimple Mehta, Ketan Kotecha

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Neuro-fuzzy techniques for modeling process parameters in pulsed electrochemical machining of steel by Irvin Uriel Nopalera Angeles, Everardo Efrén Granda Gutiérrez, Roberto Alejo Eleuterio, René Arnulfo García Hernández, Ángel Hernández Castañeda, María Guadalupe Pineda Arizmendi

“…An approach known as ANFIS (Adaptive Neuro Fuzzy Inference System) was employed to address this issue, integrating two artificial intelligence techniques: artificial neural networks and fuzzy logic. …”
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Adaptive Fast Smooth Second-Order Sliding Mode Fault-Tolerant Control for Hypersonic Vehicles by Lijia Cao, Lei Liu, Pengfei Ji, Chuandong Guo

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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

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Open-Pit Bench Blasting Fragmentation Prediction Based on Stacking Integrated Strategy by Yikun Sui, Zhiyong Zhou, Rui Zhao, Zheng Yang, Yang Zou

“…This study employs artificial intelligence methods to predict the fragmentation of open-pit bench blasting. …”
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Effects of Mechanical Damage for Different Type of Threshing Patterns on Wheat Storage Quality Traits by Ling Li, Yinian Li, Yulun Chen, Qishuo Ding, Ruiyin He, Yingying Liu

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Enhancing Forensic Analysis of Construction Project Delays Through Digital Interventions by Serife Ece Boyacioglu, David Greenwood, Kay Rogage, Andrew Parry

“…Forensic Delay Analysis (FDA) has emerged as a specialised function that identifies the root causes of such delays, quantifies their duration, and assigns responsibility to the appropriate parties. …”
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High-resolution GNSS troposphere tomography through explainable deep learning-based downscaling framework by Saeid Haji-Aghajany, Saeed Izanlou, Melika Tasan, Witold Rohm, Maciej Kryza

“…SRGAN consistently outperforms the Lanczos3 interpolation method, reducing the Root Mean Square Error (RMSE) by up to 62% in Poland and 52% in California compared to the original tomography data. …”
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