A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

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Atomic layer deposition of SnO2 and TiO2 on electrodeposited BiOI thin films for efficient light-driven peroxymonosulfate activation by Laura Huidobro, Mahmoud Abid, Haitham Maslouh, Arnaud Demore, Mikhael Bechelany, Elvira Gómez, Albert Serrà

“…Using 20 ppm tetracycline (TC) at pH 7 as a model contaminant, TiO2-BiOI achieved 92.7 % TC removal and 84.8 % total organic carbon (TOC) mineralization within 90 min under UV-A light (365 nm) with 2.5 mM PMS. …”
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Drying kinetics and characteristics of Acori tatarinowii rhizoma under hot air thin-layer drying at different temperatures by Yingna Le, Kun Shi, Chengfu Wang, Jingying Guo, Yaohui Ye, Yuexing Ma, Ruiping Wang, Fangyan Cai, Shaolong Ma, Jinlian Zhang, Lingyun Zhong

“…The drying kinetics of ATR were evaluated at five temperature levels (35, 45, 55, 65, and 75 ℃). Among the tested models, the Cubic model showed the best performance. …”
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A Lung Cancer Detection with Pre-Trained CNN Models by Chai Chee Chiet, Khoh Wee How, Pang Ying Han, Yap Hui Yen

“…Then, the pre-trained models with a few added layers and modifications to parameters such as epochs, batch size, optimizer, etc. to conduct model training in this article. …”
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The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process by Cristian V. Vraciu, Julien Savre, Maxime Colin

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Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete by Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu

“…All in all, the MLPNN model with two numbers of hidden layers with a structure of 17-14-1 optimized with AOA can be proposed as the most appropriate model. …”
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Cloud processing of dimethyl sulfide (DMS) oxidation products limits sulfur dioxide (SO₂) and carbonyl sulfide (OCS) production in the eastern North Atlantic marine boun... by D. B. Kilgour, C. M. Jernigan, C. M. Jernigan, O. Garmash, O. Garmash, S. Aggarwal, S. Aggarwal, S. Zhou, C. Mohr, C. Mohr, C. Mohr, M. E. Salter, M. E. Salter, J. A. Thornton, J. Wang, P. Zieger, P. Zieger, T. H. Bertram

“…Recent work has shown that HPMTF is efficiently lost to marine boundary layer (MBL) clouds, thus arresting OCS and SO<span class="inline-formula">₂</span> production and their contributions to new-particle formation and growth events. …”
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Finite Element Stress Model of Direct Band Gap Ge Implementation Method Compatible with Si Process by Xiaohuan Xue, Jianjun Song, Rongxi Xuan

“…Among the various implementations of Ge band gap-type conversion, the related methods that are compatible with the Si process are most promising. It is such a method to etch around the Ge epitaxial layer on the Si substrate and introduce the biaxial tensile stress by SiGe selective filling. …”
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Recycled Images as Layers of Meaning in Picture Books by Isabelle Gras

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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

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RESEARCH ON THE RESIDUAL STRESS OF THE CRYSTAL SURFACE DURING LAPPING PROCESS BASED ON A SINGLE PARTICLE MODEL by WANG XiaoBo, XIE RuiQing

“…In order to understand the formation mechanism of the residual stress of the lapping surface of laser crystal,a single particle model of a YAG crystal workpiece during lapping process was established by the finite element analysis software ANSYS. …”
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High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning by Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung

“…Our domain adaptation based machine learning model, which accounts for equipment wear and environmental variations, achieves a defect detection accuracy of 97.8% based on machine data and process conditions. …”
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Superlubricating electrical contact between graphite layers by Yanmin Liu, Dong Wang, Ke Zhang, Haijun Wu, Guoqing Yu, Qiang Zhang, Yuanzi Zhou, Tianbao Ma, Aisheng Song

“…On the basis of the electronic property fluctuation (EPF) model and first principles calculations, we revealed that the sliding energy barrier remains almost unchanged under an applied current because of the negligible electron transfer variation during the sliding process. …”
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MHD couple stress boundary-layer flow with heat and mass transfer under thermal radiation and Marangoni effect: A numerical study by Jawali C. Umavathi, Bernardo Buonomo, Oronzio Manca, Mikhail A. Sheremet

“…Additionally, the study of the nanoparticle interfacial layer features under an appropriate nanofluid model has been performed. …”
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Evolution Process of Toppling Deformations in Interbedded Anti-Inclined Rock Slopes by Yibing Ning, Yanjun Shen, Tao Ding, Panpan Xu, Fenghao Duan, Bei Zhang, Bocheng Zhang, John Victor Smith

“…In this study, we used a physical model test with basal friction to replicate the evolution process of the slope deformation. …”
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A Thermo-Hydro-Mechanical Damage Coupling Model for Stability Analysis During the In Situ Conversion Process by Guoping Li, Juan Jin, Weixi Chen, Minghui Zhao, Jiandong Liu, Bo Fang, Tingfu Ye

“…To capture tensile–compressive asymmetry in geotechnical materials, an equivalent strain based on strain energy density is introduced, which regularizes the tensile component of the elastic strain energy density. Additionally, the model simulates the multi-layer wellbore structure and the dynamic heating and extraction processes, recreating the in situ environment. …”
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Retinal Nerve Fiber Layer and Macular Ganglion Cell Layer Thickness in Subjects Suffering from Diabetes Mellitus: An Observational Study by Anujja Gharat, Nayana Anil Potdar, Salma Mohd Iqbal Tabani, Burhanuddin Kaidjoher Fakhri, Darshana B. Rathod, Twinkle Choksi

“…Purpose: The purpose of this study was to investigate the relationship of retinal nerve fiber layer (RNFL) and ganglion cell–inner plexiform layer (GCIPL) thickness in between normal healthy eyes and those affected by diabetes mellitus (DM) and also associate it with the extent of the disease. …”
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Study of grain spreading and cooling process based on non equilibrium thermal simulation by ZHAO Chao, CHEN Tao, ZHOU Zhonglin, YANG Jian

“…Based on the degree how the discharge temperature meets the process requirements, and analyzed the impact of the thickness of the grain layer, the speed of the plate chain movement, and the impact of the exhaust air volume on the air flow distribution, temperature field distribution, and the temperature changes during the entire grain movement process.ResultsAfter analysis, it was found that the thickness of the material layer has significant impact on the discharge temperature, the speed of the plate chain movement and the exhaust air volume have secondary impacts. …”
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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

“…The model integrates the Transformer architecture with adaptive graph convolutional layers and a sparse attention mechanism. …”
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Mathematical modeling, drying kinetics, and economic analysis of a hybrid photovoltaic thermal solar dryer for henna leaves by Abdallah Elshawadfy Elwakeel, Awad Ali Tayoush Oraiath, Tarek Hussien M. Ghanem, Ahmed Elbeltagi, Ali Salem, Ahmed Z. Dewidar, Abdelaziz M. Okasha, Abadeer Habib, Tamer M. El-Messery, Moustapha Eid Moustapha, Khaled A. Metwally

“…Furthermore, Lewis (Newton), Weibullian, and Page were the most appropriate mathematical drying models for Henna leaves at layer thicknesses of approximately 2, 4, and 6 cm, respectively, for dried samples by DDSD. …”
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