Investigation of Friction Stir-Welded B4C Particles-Reinforced Copper Joint: Mechanical, Fatigue, and Metallurgical Properties by M. Vetrivel Sezhian, G. Chakravarthi, K. Giridharan, Balasubramaniam Stalin, B. Yokesh Kumar, P. Sureshkumar, J. Vairamuthu, Ramaswamy Krishnaraj

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Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency by Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang

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Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks by Sharanjit Singh, Harish Chandra Arora, Aman Kumar, Nishant Raj Kapoor, Kennedy C. Onyelowe, Krishna Kumar, Hardeep Singh Rai

“…This work will nudge civil engineering and material science researchers toward opting for sustainable computing techniques. …”
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Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties by Inna Pustokhina, Amir Seraj, Hafsan Hafsan, Seyed Mojtaba Mostafavi, S. M. Alizadeh

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INTEGRATION OF SPENT GRAIN INTO FOOD PRODUCTS by ERŞOVA, Svetlana, SAITAN, Olesea, TARNA, Ruslan, RUMEUS, Iurie, CODINĂ, Georgiana Gabriela, GHENDOV-MOSANU, Aliona

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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

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An Improved Predictive Model for Determining the Permeability Coefficient of Artificial Clayey Soil Based on Double T2 Cut-Offs by Zhen Lu, Aimin Sha, Junfeng Gao, Meng Jia, Wentong Wang

“…Permeability is one of the most important engineering properties of clayey soil. However, the traditional method for determining the permeability coefficient is time-consuming. …”
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Prediction of the cutting tool wear during dry hard turning of AISI D2 steel by using models based on Learning process and GA polyfit by Khaled Djellouli, Kamel Haddouche, Mostefa Belarbi, Zoubir Aich

“… In this paper, we are interested in the prediction of flank wear through dry hard turning of AISI D2 steel with a mixed alumina insert. In the machining process, the cutting tool is principally affected by two kinds of wear: flank and crater wear. …”
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Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning by Filipi França dos Santos, Kelly Cristine Da Silveira, Gesiane Mendonça Ferreira, Daniella Herdi Cariello, Mônica Calixto de Andrade

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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…The models are evaluated against a comprehensive set of performance metrics: Root Mean Square Error (RMSE), Mean Squared Error (MSE), coefficient of determination (R²), correlation coefficient (R), Mean Absolute Error (MAE), Relative Absolute Error (RAE), Squared Error (SE), Mean Absolute Percentage Error (MAPE), and Normalized Mean Squared Error (NMSE). …”
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Analysis of Multifrequency GNSS Signals and an Improved Single-Epoch RTK Method for Medium-Long Baseline by Jian Chen, Jiahui Wang, Kaikun Zhang, Wei Duan, Xingwang Zhao, Chao Liu

“…Second, the fixed WL ambiguities of Galileo and BDS are exploited to elevate the fixed rate of GPS WL ambiguity. …”
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Fuzzy Random Characterization of Pore Structure in Frozen Sandstone: Applying Improved Niche Genetic Algorithm by Yao Ya-feng, Lin Jian, Ge Jian, Peng Shi-long, Yin Jian-chao, Ouyang Li-na

“…Compared with the previous least square fitting method, it provides a more accurate approach in characterizing complicated pore structures in frozen rock and soil masses. …”
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Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in transmission lines by Abdul Yussif Seidu, Elvis Twumasi, Emmanuel Assuming Frimpong

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A comparative study to estimate three commercial products of human chorionic gonadotropin (hCG) on blood biochemistry, sexual hormones concentrations, reproductive indices, and lar... by El-Sayed I. Attia, Mohamed F. A. Abdel-Aziz, Habib Ul Hassan, Mohammad Z. Ahmed, Takaomi Arai, Hamed H. E. Saleh

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Changing needs and demand of clients vs ability to pay in architectural industry by Emeka J. Mba, Francis O. Okeke, Ajuluchukwu E. Igwe, Obas J. Ebohon, Foluso C. Awe

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High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

“…These metabolites were from seven distinct super pathways and had an absolute mean value of percentage difference between the two breeds (|Δ|%) of 39.2 ± 32.4. Six of these metabolites had |Δ|%> 100. A general correlation network analysis based on Boruta−identified metabolites consisted of 31 singletons and 69 metabolites connected by 141 edges, with two large clusters (> 15 nodes), three medium clusters (3–6 nodes) and eight additional pairs, with most metabolites belonging to the same super pathway. …”
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A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting by Kezhao Li, Yunyan Shen, Xiaokui Yue, Yingxiang Jiao, Kai Wang, Zhe Yue, Keke Xu

“…Cycle slip determination plays an important role in high-precision data processing and application of global navigation satellite systems (GNSS). The TurboEdit method consists of the Melbourne-Wubbena (MW) and the geometry-free phase (GF) combination. …”
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Performance and carcass characteristics of cattle with different castration practices by M. M. Anjos, V. S. Miler, B. N. Barboza, E. O. Queiroz, B. R. C. N. Pazdiora, G. A. Viana, R. D. Pazdiora

“…Immunocastration was performed following the protocol of two doses of the immunocastrating vaccine, with an interval of 60 days, promoting a castrated effect of 120 days. The animals were kept on mixed pasture in an extensive rearing system using rotational grazing, they received mineral supplement in the first 3 months and specific feed for the fattening season in the subsequent 3 months, according to the property’s standards. …”
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Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal by Supath Dhital, Kapil Lamsal, Sulav Shrestha, Umesh Bhurtyal

“…In Nepal, the Department of Hydrology and Meteorological uses a numerical modeling approach to forecast the weather, which is tardy and requires high-end equipment to process the information, so a deep learning approach will be the best alternative. …”
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Soybean oil, a linoleic acid source, in lamb diets: metabolic, feeding behavior, and ruminal parameters by V. G. O. Lima, L. O. da Silva, J. E. de Freitas Jr., H. D. R. Alba, V. M. Leite, W. P. Silva, D. D. S. Pina, L. C. Leite, C. S. Rodrigues, S. A. Santos, G. G. P. de Carvalho

“…The use of SO in diets for feedlot lambs should be approached with caution, as it can reduce DM intake, which may lead to decreased animal performance; however, further studies are needed to determine the effects on the productive cost and performance.…”
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