Fetal health classification with predictive algorithm by using Ensemble Model by Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash

“…The study uses two strong machine learning methods XGBoost and LightGBM, to sort the data. …”
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FEATURE SELECTION AND CLASSIFICATION OF LEUKEMIC CELLS USING IOT AND MACHINE LEARNING by K. R.Vineetha, Kovvuri N. Bhargavi, G. L. Narasamba Vanguri, Jenifer Mahilraj, V. Kannan

“…To pick the most informative collection of features that enables stable and accurate cell categorization into suitable categories, the offered research relies on strong machine-learning approaches for feature selection. …”
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Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

“…The main aim of this study is to create strong machine learning models and statistical techniques that can accurately predict crop yield by combining a variety of environmental parameters, then assess which models outperform each other. …”
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Influence of interlayer dwell time on microstructure and mechanical properties additively manufactured 316L stainless steel by laser directed energy deposition by Zhaoqiang Chen, Ziyu Zhang, Yuying Yang, Guangchun Xiao, Mingdong Yi, Tingting Zhou, Chonghai Xu

“…Laser directed energy deposition (LDED) is widely utilized due to its high precision, fast processing speed, small heat affected zone, strong machinability, environmental protection, energy saving, and high reliability. 316L stainless steel is one of the most extensively studied materials employed in the LDED process. …”
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