{"product_id":"machine-learning-paradigms-advances-in-deep-learning-based-technological-applications-9783030497262","title":"Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications","description":"\u003cp\u003e • Author(s): George A. Tsihrintzis\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Engineering (General)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAt the dawn of the 4\u003csup\u003eth\u003c\/sup\u003e Industrial Revolution, the field of \u003ci\u003eDeep Learning\u003c\/i\u003e (a sub-field of \u003ci\u003eArtificial Intelligence\u003c\/i\u003e and \u003ci\u003eMachine Learning\u003c\/i\u003e) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in \u003ci\u003edeep learning-based technological applications\u003c\/i\u003e and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) \u003ci\u003eDeep Learning in Sensing\u003c\/i\u003e, (2) \u003ci\u003eDeep Learning in Social Media and IOT\u003c\/i\u003e, (3) \u003ci\u003eDeep Learning in the Medical Field\u003c\/i\u003e, (4)\u003ci\u003e \u003c\/i\u003e\u003ci\u003eDeep Learning in Systems Control\u003c\/i\u003e, (5) Deep Learning in Feature Vector Processing, and (6)\u003ci\u003e Evaluation of Algorithm Performance\u003c\/i\u003e\u003ci\u003e.\u003c\/i\u003e \u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.\u003c\/p\u003e\u003cbr\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274262274199,"sku":"9783030497262","price":10915.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030497262.webp?v=1769279395","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-paradigms-advances-in-deep-learning-based-technological-applications-9783030497262","provider":"Atlantic Books","version":"1.0","type":"link"}