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    bflc:aap "Internet of things enabled machine learning for biomedical application" ;
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                    bf:code "23/eng/20240524" ] ] ;
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    bf:subject [ a bf:Topic,
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            rdfs:label "Machine Learning" ;
            bflc:aap-normalized "machinelearning" ;
            bf:source <http://id.loc.gov/vocabulary/subjectSchemes/mesh> ;
            mads:authoritativeLabel "Machine Learning" ],
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            rdfs:label "Internet of Things" ;
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            mads:authoritativeLabel "Internet of Things" ],
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        [ a bf:Topic,
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            rdfs:label "Delivery of Health Care--methods" ;
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    bf:summary [ a bf:Summary ;
            rdfs:label "\"The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning. Highlights security and privacy issues in the healthcare system using the internet of things. Discusses classification and implementation techniques of image segmentation. Explains different algorithms of machine learning for image processing in a comprehensive manner. Provides computational intelligence on the internet of things for future biomedical applications including lung cancer. It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering\"-- Provided by publisher." ] ;
    bf:supplementaryContent <http://id.loc.gov/vocabulary/msupplcont/bibliography>,
        <http://id.loc.gov/vocabulary/msupplcont/index> ;
    bf:tableOfContents [ a bf:TableOfContents ;
            rdfs:label "ML and IoT coupled Bio-Medical applications in Healthcare : Smart Growth and Upcoming Challenges / Vasanth R, Paranthaman M, Sivaprakash P -- Recent Advances in Ubiquitous Sustainable Healthcare Systems / Shwetha Baliga, Pushkar R Kulkarni -- IoT enabled Healthcare System using Machine Learning / Ms. P.Jothi Thilaga, Mr. K. Vignesh Saravanan, Dr. S. Kavi Priya, Dr. K. Vijayalakshmi -- An Efficient Architecture for Classification of Super Resolution Enhanced Human Chromosome Images / Dr. D. Menaka, Ms. K. S. Subhashini -- Applications of Machine Learning to the Impact of IoT in Biomedical Applications / Shwetha Baliga, Rakshita Basarakod, Kalathmika G, Nandana P Pillai, Jayashree Shivakumar, Preeti Yadav -- Ovarian Cancer Detection Using IoT-Based Intelligent Assistant and Blockchain Technology / Mohsen Ghorbian, Saeid Ghorbian -- Blood oxygen level and pulse rate measurement using hemodialysis using IoT and Computational Intelligence / Ms. N. Vigneshwari, Dr. C. Sivamani, Dr. S. Selvi, Dr. G. Revathy -- Dental Shade Matching using machine Learning Models / Shishira R, S Deepthi Nayak, Geetishree Mishra, M N Suma -- Brain Tumor Detection for Recognising Critical Brain Damage in Patients Using Computer Vision / Vivek Veeraiah, Parth Sharma, Kumud Saxena, Niraj Kumar Sahu, Khushboo Sharma, Jay Kumar Pandey -- Smart Therapist : The Mental Health detector / Arunabha Dutt, Nizar Banu P K, Akarshi Bansal, Krishna Bansal -- Medical Image Analysis based on Deep Learning Approach and Internet of Medical Things (IoMT) for early Diagnosis of Retinal disease / S. Karkuzhali, Thendal Puyalnethi, Senthilkumar S -- Intelligent E-Learning Platform Consolidating Web of Things and Chat-GPT Neha Katiyar, Mayank Deep Khare, Jatin Kumar, Ayush sharma, Sachin Rawat, Jyoti Srivastava -- Issues and Challenges in security and privacy with E-health care : a thorough literature analysis / Manikandan A, Sanjay T, Gautam Menon, Aswin R, Parthiv Bijumon Bhaskar, Mahadev Govind R, Ramprasad O G -- Harnessing the Power of Distributed Cloud and Edge Computing for Advanced Healthcare Systems / Sampath Boopathi -- Securing Cloud-Based IoT : Exploring the Significance of Lightweight Cryptography for Enhanced Security / Gaikwad Vidya S, Nilesh P. Sable, Disha S. Wankhede, Vaishali Mishra, Madhuri P. Karnik, Nitin Ambhore, Akshay Manikjade -- Security and Privacy in the Internet of Medical Things (IoMT)-Based Healthcare : Ensuring Trust and Safety / Deepali Vashistha, Dhairya Mehta, Pranav Vashistha, Pranjal Mairal, Malaram Kumhar, Jitendra Bhatia -- A Comprehensive Study of the Problem and Challenges Associated with Machine Learning Enabled IOT in Biomedical Applications / Sandeep Bhatia, Amit Kumar Goel, Basetty Mallikarjun, Bharat Bhushan Naib, Neha Goel, Soniya Verma -- A Machine Learning-enabled Internet of Things Model for Cloud-based Biomedical Applications / Palanivel Kuppusamy, Nandhu Palanivel, Suresh Joseph K -- Machine Learning Enabled IoT for Biomedical applications : Problem and challenges / Hashmat Usmani, Renu Rani -- IOT driven Machine learning mechanisms for Healthcare Applications / Dr. Gopala Krishnan Karuppaiah, Dr. Karthikeyan Velayuthapandian, Mr. Sridhar Raj Sankara Vadivel." ] ;
    bf:title [ a bf:Title ;
            bf:mainTitle "Internet of things enabled machine learning for biomedical application" ] .