Titlebook: Artificial Intelligence; First International Arif Ahmed Sk,Turki Turki,Subhabrata Barman Conference proceedings 2022 The Editor(s) (if app

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Genetic Algorithm Based Adaptive PID Tuning of Time Delay Process search method is used in this problem. Here, the comparison has been made between PID controller tuned with different standard classical methods along with fuzzy PID (FPID) and proposed genetic algorithm based adaptive PID control (GAPID) technique. It has been found that better response is obtaine

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Hybridization of Sine-Cosine Algorithm with K-Means for Pathology Image Clusteringing in several novel algorithms that is being widely used and accepted. With this motivation in mind, the proposed work aims in designing and developing improved hybrid procedures for visual information extraction and clustering using Nature Inspired Optimization Algorithm (NIOA) and Machine Learnin

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Assessment of Shallow and Deep Learning Models for Prediction of Sea Surface Temperaturen the usual shallow learning-based feedforward model. Two different monthly SST time series data are applied for the estimation of sea surface temperature in the eastern Arabian Sea (AS) as well as Bay of Bengal (BOB) whose grid points are (70°E, 15°N) and (90°E, 15°N) respectively. LSTM and feedfor

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Bioinformatics Analysis of Oral Squamous Cell Carcinomas and Their Interaction to Identify Molecular, MET, PDGFB and VAV3) using STRING database. Other biomolecules: Reporter transcription factors (HIF1A, MYC, FOXP3, E2F4, WT1, PURA, ZEB1 and USF2), microRNAs (hsa-miR-589-3p, hsa-miR-155-5p and hsa-miR-301b-3p) associated with hub-genes were determined. For the hub genes, we also performed GO and

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Project 4: The Lighting Waterfall,genetic relationship among the four sub-species from their mitochondrial genomes that had originated during the Pleistocene period and determine the alteration of microsatellite repeats resulting from changes in the formation of protein and, in the long run, leading to evolution.

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Foundations of Macroeconomic Dynamicscollected from various online retailers. The dataset is structurally labeled in 49 categories. To benchmark the dataset, we have used various classical methods and state-of-art deep models. The dataset will be publicly available at: ..

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