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Deep Learning Applications, Volume 2 (Advances in Intelligent Systems and Computing #1232)
This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and r... More
Language: ENGCopyright: 2021 -
Deep Learning Applications (Advances in Intelligent Systems and Computing #1098)
This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, obje... More
Language: ENGCopyright: 2020 -
Deep Learning Applications, Volume 3 (Advances in Intelligent Systems and Computing #1395)
This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and cla... More
Language: ENGCopyright: 2022 -
Advances in Deep Learning (Studies in Big Data #57)
This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their compo... More
Language: ENGCopyright: 2020 -
Diagnosis of Liver Disease
This book guides practitioners in the assessment of patients with a liver problem. The emphasis is on the role of macro- and microscopic pathology in elucidating pathogenesis as well as identifying confounding features of image findings that may lead to a more elaborate differential diagnosis. If ap... More
Language: ENGCopyright: 2019 -
Quantitative Genetics, Genomics and Plant Breeding
by Weikai Yan • Salvatore Ceccarelli • Surinder S Banga • Nourollah Ahmadi • Jacqueline Batley • Baffour Badu-Apraku • José Crossa • Ravi Prakash Singh • Manjit Kang • Meike S Anderson • Robyn Anderson • Paolo Annicchiarico • Vivi N Arief • Jérôme Bartholomé • Kaye E Basford • Dharminder Bhatia • Darshan S Brar • Juan Burgueño • Tuong-Vi Cao • Hernán Ceballos • Sandeep Chapagain • Binu Cherian • Monica Danilevicz • Ian H DeLacy • Professor Dave Edwards • M A Fakorede • Cassie Tay Fernandez • Mahalingam Govindaraj • Cécile Grenier • Mehak Gupta • L A Hunt • Shailesh Vinay Joshi • Philomin Juliana • Anand Kanatti • M T Labuschagne • D Lloyd Evans • Suschismita Modal • Gurbachan S Miglani • Osval A Montesinos-López • E Obeng-Bio • S A Oyekale • Paulino Pérez-Rodríguez • Wolfgang H Pfeiffer • M Pillay • K N Rai • Lovepreet Singh • Rajveer Singh • Prasanta K Subudhi • A O Talabi • S N Tchala • Soodeh Tirnaz • Parminder S VirkSince the first edition of this book was published in 2002, the field of quantitative genetics, genomics and breeding has changed markedly. In response, only four chapters have been updated for this new edition, and the remaining 16 chapters are entirely new. This book presents state-of-the-art,... More
Language: ENGCopyright: 2020