The Statistical Detecting of Sulfur Hexafluoride and Nitrous Oxide Effect on Seasonal Rainfalls in Iran During Recent Decade by Yosef Ghavidel Rahimi, Maysam Tolabi Nejad, Manochehr Farajzadeh

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Prediction of size distribution of iron ore granules and permeability of its bed by Lv X., Bai C., Huang X., Qiu G.

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Second law efficiency and thermal entropy generation of 30:70% of glycerol + water based SiO2 nanofluids in a thermosyphon flat plate collector: Experimental and Bayesian artificial neural network algorithm by L.S. Sundar, Sérgio M.O. Tavares, Korada V Sharma, António M.B. Pereira

“…This research examines the thermal entropy generation, frictional entropy generation, entropy generation number, and energy efficiency, which were experimentally assessed for a flat plate collector functioning under thermosyphon conditions utilizing a SiO2/30:70% glycerol and water nanofluid mixture. The artificial neural network with Bayesian regularization was employed to predict the gathered data. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

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AI-based hybrid power quality control system for electrical railway using single phase PV-UPQC with Lyapunov optimization by D. K. Nishad, A. N. Tiwari, Saifullah Khalid, Sandeep Gupta, Anand Shukla

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Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

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Optimized extraction and kinetic study of cholesterol oxidase from a newly isolated Escherichia fergusonii strain from local whey samples: insights through a combined experimental study and artificial neural network modeling by Simin Khataee, Gholamreza Dehghan, Samaneh Rashtbari, Arezu Marefat, Sina Jamei, Hamed Farzi-Khajeh

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Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, Gray-Wolf, and Moth-Flame Optimization Techniques by Kennedy C. Onyelowe, Jamshid Shakeri, Hasel Amini-Khoshalan, Thompson F. Usungedo, Mohammadreza Alimoradi-Jazi

“…Artificial neural network (ANN), gray-wolf, and moth-flame optimization (GWO and MFO) techniques have been used in this research work to predict the effect of activated sawdust ash (ASDA) on the crack width (CW), linear shrinkage (LS), and volumetric shrinkage (VS) of a black cotton soil utilized as a subgrade material. …”
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Innovation of Urban Circular Economy Growth Path Based on Neural Network by Weifeng Qiu, Yi Yang

Subjects: “…Artificial neural network…”
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Model of Automatic Classification and Localization of Images by L. V. Serebryanaya, K. Y. Bochkarev, A. Y. Popitich

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Automatic Image Colorization Based on Convolutional Neural Networks by L. V. Serebryanaya, V. V. Potaraev

Subjects: “…artificial neural network…”
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Optimal adjustment of deep neural network parameters in estimating lost vital sign data in body wireless sensor networks by Aboulfazl Ebrahimi, Mahboubeh Shamsi, Morteza Mohajjel

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Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions by Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen

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Predicting the Effectiveness of Resilient Safety in the Building Construction Sector of Rwanda Using the ANN Model by Esperance Umuhoza, Sung-Hoon An

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Survey of text classification methods based on deep learning by Sijia DU, Haining YU, Hongli ZHANG

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Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review by Henrique Henriques, Luis Nobre Pereirsa

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A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

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EVALUATION OF THE MODEL PREDICTION TOXICITY (LD50) FOR SERIES OF 42 ORGANOPHOSPHORUS PESTICIDES by HANANE FIKRI, TAOUFIQ FECHTALI, MOHAMED MAMOUMI

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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

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Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength by Bashar Alibrahim, Ahed Habib, Maan Habib

Subjects: “…Artificial neural networks…”
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