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Titlebook: Recent Trends in Artificial Intelligence and IoT; First International Rajesh Kumar Tiwari,G. Sahoo Conference proceedings 2023 The Editor(

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Advanced MRI Segmentation Algorithm for the Detection of Brain Tumor Using U-Net Architecture with Tal networks (CNNs) and U-Nets with different transfer learning models as backbones, including ResNet50, Vgg16, InceptionV4, DenseNet169, and EfficientNet-B7. Making use of the BraTS 2020 dataset, brain lesion segmentation is carried out. The tumor segmentation method is evaluated using the F1-Score,
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Audio Analysis for Early Diagnosis of Alzheimer’s Disease: A Study on Fisher’s Linear Discriminant ay system..With a focus on the use of audio analysis in diagnosis, we first give a general overview of AD and its diagnosis. The use of MFCCs and FLD for categorizing Alzheimer‘s patients based on audio data is then discussed..Overall, the findings of earlier research indicate that FLD and MFCCs can
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Automation in Agriculture Using Deep Machine Learning: A Surveyr the farming sector. Deep Learning (DL), including the algorithms of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Generative Adversarial Networks (GAN), has been extensively studied and implemented in a variety of disciplines, including agriculture, in recent years. Thi
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Amod Kumar Sahwal,Manjeet Singh,Namrata Kumari,Krishna Murari,Shashi Prabhaoteric things like David Williams‘ path decomposition, it provides a method for constructing processes whose description in terms of an in­ finitesimal generato978-1-4684-9414-3978-1-4684-9412-9Series ISSN 2297-0371 Series E-ISSN 2297-0398
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Sanjay Kumar Mahto,Yogendra Kumar,Manjeet Singh,Ruchi Kumari,Kishore Kumar Rayuse to advantage general probabilistic potential theory to make quite specific calculations, it provides a natural setting for apply­ ing esoteric things like David Williams‘ path decomposition, it provides a method for constructing processes whose description in terms of an in­ finitesimal generato
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r .′ which is NP-complete. Moreover, we show that an extension of the metric temporal logic considered by the inclusion of variables within the temporal operators leads already to a temporal Horn logic which is expressively equivalent to constraint logic programs over .′.
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Md Shoaib Alam,Pankaj Rai,Rajesh Kumar Tiwari,Vijay Pandey,Sharafat Hussain
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