1st Edition
Sustainable Well-being Advancing Health through Psychology, Medicine, and Intelligent Technologies
Chapter 1 Sustainable solutions for automated classification and segmentation of kidney cysts in CT scans using Leaf Gradient-Based Neural Architecture Search (LGBNAS)
S. K. Aruna, N. Deepa, and T. Devi
Chapter 2 Heart diseases analysis and prediction system using machine learning
Sumathi S., E. Kodhai, E. Bhuvaneswari, V. Swathilakhsmi, and Rama Krishna Tummala
Chapter 3 Breaking down barriers: Understanding sociological factors influencing physical inactivity among overweight and obese students in urban India
Arul Selvan R. and Suriya S.
Chapter 4 Sustainable AI-driven diagnostic pathways for early Autism Spectrum Disorder detection
Ahmed Humaid Al Naqbi, Mohammed Ali Nawad, Samar Mouti, and Omar Kassem Khalil
Chapter 5 Advancing precision medicine: Machine learning approaches to classify Epithelial Ovarian Cancer subtypes using RNA-Seq data
Asha Abraham and R. Kayalvizhi
Chapter 6 Assessment of risk of osteoarthritis in knee using thermal images
A. Sabah Afroze, R. Tamil Selvi, M. Parisa Beham, J. Judith, S. Sathiya Pandiya Lakshmi, M. Bharkavi Sandhiya, and K. M. Ahamed Sheriff
Chapter 7 FMD-Net: A hybrid deep learning framework for automated and sustainable detection of fetal movements in ultrasound imaging
S. M. Seeni Mohamed Aliar Maraikkayar, R. Tamilselvi, M. Parisa Beham, K. Shanmuga Priya, M. Gayathri, and M. K. Ahamed Sheriff
Chapter 8 The impact of single-mother households on adolescents’ mental health and well-being in Chennai,
Tamil Nadu
Aarthy Jonathan Kennedy, Shoba Jasmin K. S., and Anju Mohan
Chapter 9 Automatic classification of galaxy morphology using Convolutional Neural Networks (CNNs)
Ankur Das and Ishu Sharma
Chapter 10 Natural language processing for early detection of Parkinson’s disease in social media users based on linguistic markers
V. Jayasudha, N. Deepa, and Devi T.
Chapter 11 Reduction of depression levels by innovative peer support among same-linguistic people using TAD framework
J. Vishnu Kannan, N. Deepa, and Devi T.
Chapter 12 Enhancing the prediction of medical student mental health with a sustainable solution using relational formulated rule-based algorithm
J. Vishnu Kannan, N. Deepa, and Devi T.
Chapter 13 Leveraging a innovative collaborative ensemble decision trees for professional stress prediction and classification
R. Ragul, Devi T., and N. Deepa
Chapter 14 Early detection of Poly Cystic Ovary Syndrome using ultrasound ovary image – A convolutional neural network approach Reka S., Suriya Praba T., and Vanipenta Naga Nithin Reddy
Chapter 15 Diagnosis of 12-LEAD E.C.G. images using residual neural networks
M. Sandhya, Soumyadip Mukherjee, and Leninisha Shanmugam
Chapter 16 Efficient diabetes detection and feature selection using CatBoost algorithm
Ranya Samour, Balamurugan Balusamy, and C. Sai Varun
Chapter 17 Super stressed: The prevalence of anxiety among Middle Eastern University students
Khym Isaac De Barros, Abeer Abbas, Marya Badran, Elizabeth Roby, Mareena Deeb, Sara Hachem, Neimat Elkarib, Yara, El Rifai, Dana Ammary, Jana Kayyal, Maryam Al Falasi, Zeynab Al Hasouni, Zahraa Ali Jaber, Sarah Alshehada, and Sara Abukmeil
Chapter 18 Comparative assessment among probiotic formulation and SCFA producing Lactoplantibacillus pentosus C10 in MRS medium enriched with 1% carbon sources to maintain gut homeostasis
Niharika Madhavan and Ieshita Pan
Chapter 19 Holistic approach to avert risks by preventing diabetes using random forest over decision tree for a better medical health to find the overall accuracy
Dhanyaa J. and Almas Begum
Chapter 20 Economic impact on advanced healthcare a comparative analysis of Brain Tumour detection using VGG-19 and CNN
Sunil Shuraj N. and Sivagami S.
Chapter 21 Implementation of tobacco control measures targeting adult smokers, using SVM over KNN, to measure the accuracy rates
Nitin Kumar and V. R. Vimal
Chapter 22 A neural network model for prediction of heart disease in chronic diabetic patients
Sumaiya Thaseen, Poorva Babu, and Sai Phanindra Kothuri
Chapter 23 Comparing the therapeutic effectiveness of Centella Asiatica extract against donepezil on MMP9 protein inhibition in dementia disorders utilizing molecular docking analysis
J. Kamalieswaran and Ieshitha pan
Chapter 24 Improvising the sustainable stress prediction with the sleep pattern using Node-Edge Synaptic Model
R. Ragul, Devi T., and N. Deepa
Chapter 25 AI-driven multi-modal data fusion and computer vision for early detection and monitoring of paediatric neurological and developmental disorders
S. P. Maniraj, Abarna V., Sivakumar K., Neeraj Kumar Mishra, M. S. Nidhya, and V. Malathy
Chapter 26 Efficient real-time pigmentation monitoring in dermatology patients: A comparative study of adaptive techniques and histogram-based algorithms
J. Thejeswar Reddy and S. Loganayagi
Chapter 27 Prediction of chronic diseases using support vector machine (SVM) and decision tree (DT) algorithm with improved accuracy
Harini S. S. and Selvakumaraswamy S.
Chapter 28 A comprehensive review on voice based emotional state detection using LLM and deep learning model
Nikale Preeti Uttam, Purnendu Bikash Acharjee, Bipllab Roy, and Salve Margaret Joseph
Chapter 29 A deep learning-based web application for early detection of Alzheimer’s disease
Premnath K., Lakshmi C., Preethi S., and Pavishmi S. R.
Chapter 30 Sustainability in infant care: An optimal music identifying cradle using reinforcement learning
Jyosna Philip and Vijayalakshmi S.
Chapter 31 Innovative tools for AI-driven scalp and hair assessment: Evaluating mobile application efficacy and user experience Amaal Mohammad Abdullah Al Maqbali, Faizal Hajamohideen, Rayyan Abdullah Said Al Handasi, Mahzabee Noorulhasan Shams AlDhuha, and Mubassareen Noorulhasan ShamsAl Dhuha
Chapter 32 Innovative AI solutions in mobile dermatology: Examining best practices for scalp and hair analysis through deep learning
Rayyan Abdullah Said Al Handasi, Faizal Hajamohideen, Amaal Mohammad Abdullah Al Maqbali, Mahzabee Noorulhasan ShamsAlDhuha, and Mubassareen Noorulhasan ShamsAlDhuha
Chapter 33 Lung cancer classification with generative adversarial augmentation and graph attention algorithm
Gnana Jeba Das Dasaian, Nafeena Abdul Munaf, Sivakumar Thankaraj Ambujam, Salavutheen Noortheen, and Mausoom Mohamed Fulhu
Chapter 34 AI enabled healthcare assistant for remote prenatal care
Savithri M., Vijayalakshmi S., Alwin Joseph, and Gunavathi R.
Chapter 35 Methods of rehabilitation in children diagnosed with autism and determination of rehabilitation potential in autism spectrum disorder: A case study
Mohammed Fareed Faizal, Svetlana Kiryukhina, Hussein Walaa Hosny, Srivignesh Poonaram, Shaheena Jaleela Faizal, and Faizal Hajamohideen
Chapter 36 Emotion-adaptive music therapy for personalised mental health support through sentiment analysis
Amartya Chatterjee, Anant Narain, and G. Ramya
Chapter 37 Retinal scan analysis for Alzheimer’s detection: An AI approach
B. Meena Preethi, Lekha J., Vysakh Mangattil, Naveen Bhiksheswaran, and Yadav Prem
Chapter 38 An approach to diabetic retinopathy detection through different CNN techniques
J. Lekha, B. Meena Preethi, and Annet Jacob
Chapter 39 Advancing fetal brain segmentation: A diffusion model approach with explainable AI insights
Nilima Gaikwad and S. Vijayalakshmi
Chapter 40 Comprehensive analysis on enhanced early prediction of high-risk colorectal cancer patients using deep learning techniques on medical imaging data
Vandana R. Bais and S. Vijayalakshmi
Chapter 41 Enhancing healthcare efficiency with a multi-persona platform: Swaasth
Gayathri V. M., Shiv Tiwari, Sarthak Shroff , Anirban Sengupta, and Varad Kadtan
Chapter 42 Assessing the impact of gaming on psychological and physical health: Users’ perspective
Deepika Gaur, Akanksha Khanna, Sandhya Ravishankar, Komathi C., and Swapna S. Nair
Chapter 43 NADBA: An AI-driven deep learning approach for early skin cancer detection
Benson Raj, Humaid Alnaqbi, Saeed Al Ali, Hassan Khaaldi, and Abdelaziz Alnaqbi
Chapter 44 Investigation and analysis of the tensile and flexural properties of 3D-Printed Polyether Ether Ketone (PEEK) for biomedical applications
Jadamuni Senthilkumar and Vasudevan Alagumalai
Chapter 45 Facial expression recognition using high order derivative local binary pattern
Durgadevi P., Roshan Suvedi, Sanjana M. M., Rakesh G., and Shivakumar M. J.
Chapter 46 Classifying Parkinson’s disease using deep learning models and MRI data
Benita Veronica, Febin Antony, Shaziya Islam, and Shahra Jafar
Biography
Dr. J. Anitha Menon is a Professor of Psychology and Head of the School of Psychology at Curtin Dubai. With 32 years of global experience, she specialises in youth wellbeing and culturally sensitive behavioural interventions, leading influential research, mentoring emerging psychologists, and advancing mental health across diverse communities. [https:// orcid.org/0000-0002-7388-7509].
Dr. Benita Veronica, Senior Lecturer and Program Coordinator for IT & Cybersecurity at Curtin University Dubai, has 15 years of research and leadership experience. A prolific Scopus-indexed author, she builds strong industry collabora>tions, leads workshops, and serves as a respected reviewer and Ph.D. external examiner, contributing significantly to academia and AI-driven healthcare research. [https://orcid.org/0000-0002-5501-7382].
Dr. Ben Milbourn is an Associate Professor of Occupational Therapy at Curtin University Australia, and Deputy Director of the Curtin Autism Research Group (CARG). He specializes in mental health and disability research. His scholarly work investigates the occupational meaning of everyday activities for individuals with severe mental illness, combining academic rigor with extensive international clinical experience to advance occupational science. [https://orcid. org/0000-0003-3213-7987].
Dr. Gnana Sanga Mithra S. is the Associate Dean of Research (Interdisciplinary) at Vinayaka Mission’s Law School, India. Specializing in Sociology, Transgender Studies, and Gender Studies, she drives interdisciplinary scholarship through extensive Scopus-indexed publications and international conference engagements, demonstrating strong research leadership and domain expertise. [https://orcid.org/0000-0002-8133-5886].
