Machine Learning-Based Multi-Objective Optimization for Enhancing the Performance of Block Support Structures for Electron Beam Additive Manufacturing by Mustafa M. Nasr, Wadea Ameen, Abdulmajeed Dabwan, Abdulrahman Al-Ahmari

“…This study illustrated that the AI models based on ANFIS might provide more accurate and reliable estimation models for monitoring and predicting support volume, support removal time, and warping deformation, exhibiting reduced errors of 0.992%, 1.2%, 1.28%, and 1.06%, respectively, in comparison to empirical measurements, ANN models, and regression models. …”
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Efficacy of virtual reality techniques in cardiopulmonary resuscitation training: protocol for a meta-analysis of randomised controlled trials and trial sequential analysis by Jia Wang, Lu Zhang, Guo Chen, Li Du, Jianqiao Zheng, Xiaoqian Deng

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Modelling and Optimisation of Hysteresis and Sensitivity of Multicomponent Flexible Sensing Materials by Kai Chen, Qiang Gao, Yijin Ouyang, Jianyong Lei, Shuge Li, Songxiying He, Guotian He

“…The simulation outcomes for the hysteresis and sensitivity closely align with the experimental test values, exhibiting relative errors of 0.765% and 0.434%, respectively. Furthermore, the sensing performance in this study shows a significant enhancement compared to prior research, with the hysteresis performance improved by 31% and sensitivity increased by 26%. …”
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Integrating AI detection and language models for real-time pest management in Tomato cultivation by Yavuz Selim Şahin, Nimet Sema Gençer, Hasan Şahin

“…Traditional pest detection methods are labor-intensive and prone to errors, necessitating the exploration of advanced techniques. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

“…Performance evaluation shows DMA achieving lower errors (MAE: 5.494, MAPE: 0.0339%) than GRU (MAE: 5.984, MAPE: 0.0369%), suggesting higher accuracy for trend-based predictions. …”
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Stellar Variability toward the Galactic Open Cluster NGC 7209 by Dorothy M. Mwanzia, Sneh Lata, W. P. Chen, Soumen Mondal, Geoffrey Okeng’o, John Buers, Samrat Ghosh, Athul Dileep, Arjav Jain, Alisher S. Hojaev, Santosh Joshi

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Monitoring Welfare of Individual Broiler Chickens Using Ultra-Wideband and Inertial Measurement Unit Wearables by Imad Khan, Daniel Peralta, Jaron Fontaine, Patricia Soster de Carvalho, Ana Martos Martinez-Caja, Gunther Antonissen, Frank Tuyttens, Eli De Poorter

“…Monitoring animal welfare on farms and in research settings is attracting increasing interest, both for ethical reasons and for improving productivity through the early detection of stress or diseases. …”
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Study on fissure development law of surrounding rock in horizontal section stope of steeply dipping coal seam group by Xie Panshi, Yuan Bodi, Zhang Bo, Huang Baofa, Fang Jiarui

“…The height of the 2# coal fissure zone, as determined by theoretical analysis, aligns with the results of numerical simulation, with a maximum relative error of 2.38%.…”
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A novel sequential approach through structural enhancements for designing a new serrated helical heat exchanger by Mohamed A. Hamied, Mina Atta, Pedro García-Regodeseves, Juan Carlos Ríos-Fernández

“…The performance of the numerical model for the heat exchanger was validated by comparison with experimental data and previously published experimental and numerical studies, demonstrating a maximum error of approximately 2 %. The study's major findings include various criteria, such as effectiveness for assessing the heat exchanger's performance. …”
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Response Surface Methodology (RSM)-Based Evaluation of the 3D-Printed Recycled-PETG Tensile Strength by Lazaros Firtikiadis, Anastasios Tzotzis, Panagiotis Kyratsis, Nikolaos Efkolidis

“…In this research, an investigation related to the tensile testing of 3D-printed specimens, under different fabrication parameters, is presented. …”
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Predictive Modeling of Energy Consumption for Cooling Ventilation in Livestock Buildings: A Machine Learning Approach by Carlos Alejandro Perez Garcia, Patrizia Tassinari, Daniele Torreggiani, Marco Bovo

“…This research developed a predictive model using NeuralProphet to estimate energy consumption in the ventilation system of a dairy cattle farm. …”
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AI-driven non-destructive detection of meat freshness using a multi-indicator sensor array and smartphone technology by Saman Abdanan Mehdizadeh, Mohammad Noshad, Mahsa Chaharlangi, Yiannis Ampatzidis

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Event-driven bi-fidelity control for efficient and reliable robotic manipulation by Fawaz W. Alsaade, Mohammed S. Al-zahrani, Fuad E. Alsaadi

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Influence of Treatment with Sodium Benzoate and Packaging on quality of Catla (Catla catla) steaks during Chilled Storage by Jaydip G Kedar, Asif U Pagarkar, Nikheel Bhojraj Rathod, Taufin E Baug

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Comparative analysis of daily global solar radiation prediction using deep learning models inputted with stochastic variables by Amit Kumar Yadav, Raj Kumar, Meizi Wang, Gusztáv Fekete, Tej Singh

“…Therefore, DGSR prediction research is crucial nowadays to produce photovoltaic power. …”
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Moisture Evaluation of Oil-Immersed Insulation in Bushings Based on Frequency Domain Spectroscopy and Grey Relational Analysis by Xianhao Fan, Sheng Li, Tengyue Sun, Yiyi Zhang, Jiefeng Liu

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Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique by Ismail Hossain, Imtiaz Ahmed Choudhury, Azuddin Bin Mamat, Abdus Shahid, Ayub Nabi Khan, Altab Hossain

“…The main objective of this research is to predict the mechanical properties of viscose/lycra plain knitted fabrics by using fuzzy expert system. …”
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Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory by Huiru ZHAO, Yihang ZHAO, Sen GUO

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A new Liu-type estimator in a mixed Poisson regression model by Ohud A. Alqasem, Ali T. Hammad, M. M. Abd El-Raouf, Abdirashid M. Yousuf, Ahmed M. Gemeay

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Wind Speed Probability Distribution Based on Adaptive Bandwidth Kernel Density Estimation Model for Wind Farm Application by Tin Trung Chau, Thu Thi Hoai Nguyen, Linh Nguyen, Ton Duc Do

“…Therefore, understanding their characteristics and properties is necessary to improve exploitation efficiency. This research investigates various wind speed distribution models, both parametric and nonparametric, to estimate wind speed probability density (WSPD). …”
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