The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration by Fei Liu, Silong Gao, Ji Yin, Chao Song, Yongliang Mei, Zhaoqiang Wang, Zongchao Liu

“…We further explored the functional and prognostic significance of these genes using support vector machine recursive feature elimination (SVM‐RFE), random forest (RF), and least absolute shrinkage and selection operator (LASSO) algorithms. We visualized the correlation between the differential expression levels of the four core genes and immune cell infiltration using heat maps and histograms. …”
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Deep Learning Stack LSTM Based MPPT Control of Dual Stage 100 kWp Grid-Tied Solar PV System by Umair Younas, Ahmet Afsin Kulaksiz, Zunaib Ali

“…The proposed MPPT methodology includes collection of one million-sample (G, V, Vmp) datasets; preprocessing via z-score normalization; visualizing distributions through histograms and correlation matrix plots; an 80/20 split rule-based training and test sets; a two-hidden layer stacked LSTM (64 and 32 neurons) architecture; hyperparameters including the Adam optimizer, 0.05 learning rate, 32 batch size, and 50 epochs. …”
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