eBook
Machine Learning Applications : From Computer Vision to Robotics
| Τίτλος: | Machine Learning Applications : From Computer Vision to Robotics |
|---|---|
| Περιγραφή: | Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader's active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more. |
| Συγγραφείς: | Indranath Chatterjee, Sheetal Zalte |
| Resource Type: | eBook. |
| Θέματα: | Machine learning--Scientific applications, Machine learning--Industrial applications, Deep learning (Machine learning)--Scientific applications, Deep learning (Machine learning)--Industrial applications |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3755398 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning Applications : From Computer Vision to Robotics – Name: Abstract Label: Description Group: Ab Data: Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader's active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Indranath+Chatterjee%22">Indranath Chatterjee</searchLink><br /><searchLink fieldCode="AR" term="%22Sheetal+Zalte%22">Sheetal Zalte</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning--Scientific+applications%22">Machine learning--Scientific applications</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning--Industrial+applications%22">Machine learning--Industrial applications</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning+%28Machine+learning%29--Scientific+applications%22">Deep learning (Machine learning)--Scientific applications</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning+%28Machine+learning%29--Industrial+applications%22">Deep learning (Machine learning)--Industrial applications</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Computer+Vision+%26+Pattern+Recognition%22">COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Mobile+%26+Wireless+Communications%22">TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3755398 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.31 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Machine learning--Scientific applications Type: general – SubjectFull: Machine learning--Industrial applications Type: general – SubjectFull: Deep learning (Machine learning)--Scientific applications Type: general – SubjectFull: Deep learning (Machine learning)--Industrial applications Type: general Titles: – TitleFull: Machine Learning Applications : From Computer Vision to Robotics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Indranath Chatterjee – PersonEntity: Name: NameFull: Sheetal Zalte – PersonEntity: Name: NameFull: Indranath Chatterjee – PersonEntity: Name: NameFull: Sheetal Zalte IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 12 M: 01 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9781394173327 – Type: isbn-electronic Value: 9781394173334 – Type: isbn-electronic Value: 9781394173341 Titles: – TitleFull: Machine Learning Applications : From Computer Vision to Robotics Type: main |
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