Sustainable Well-being

Advancing Health through Psychology, Medicine, and Intelligent Technologies

J. Anitha Menon, Benita Veronica, Ben Milbourn, Gnana Sanga Mithra S

• Publisher: Routledge
• Year: 2026
• Topic: Business
• eBook ISBN:
  9781040908662
• Subtopic: Sustainable Development
• Index: Business

The International Conference on Innovation, Sustainability, and Applied Sciences (ICISAS 2024) stands as the flagship research conference organized by Curtin University Dubai. This prestigious multi-disciplinary conference is dedicated to advancing applied, specialized, and interdisciplinary fields. It offers a unique platform for participants to engage with leading researchers and professionals, exploring collective approaches to shaping the future through innovation, sustainability, and scientific excellence. Following the resounding success of our inaugural conference, ICISAS 2024 is poised to draw an even larger and more diverse assembly of experts. This year, we align with the United Nations Climate Change Conference (COP 29) in Azerbaijan, ensuring a significant presence of senior government leaders, policymakers, eminent scientists, academicians, researchers, technocrats, and students from around the globe.Over two days, attendees will experience a rich agenda that includes distinguished keynote sessions, plenary and special sessions, poster and oral presentations, symposiums, networking opportunities, and exhibitor showcases. The conference aims to uncover groundbreaking research findings and foster collaboration across various sectors, driving forward the frontiers of innovation and sustainability.

Table of contents

• Cover Page
• Half Title Page
• Title Page
• Copyright Page
• Contents
• List of Figures
• List of Tables
• 1 Sustainable solutions for automated classification and segmentation of kidney cysts in CT scans using Leaf Gradient-Based Neural Architecture Search (LGBNAS)
• 2 Heart diseases analysis and prediction system using machine learning
• 3 Breaking down barriers: Understanding sociological factors influencing physical inactivity among overweight and obese students in urban India
• 4 Sustainable AI-driven diagnostic pathways for early Autism Spectrum Disorder detection
• 5 Advancing precision medicine: Machine learning approaches to classify Epithelial Ovarian Cancer subtypes using RNA-Seq data
• 6 Assessment of risk of osteoarthritis in knee using thermal images
• 7 FMD-Net: A hybrid deep learning framework for automated and sustainable detection of fetal movements in ultrasound imaging
• 8 The impact of single-mother households on adolescents' mental health and well-being in Chennai, Tamil Nadu
• 9 Automatic classification of galaxy morphology using Convolutional Neural Networks (CNNs)
• 10 Natural language processing for early detection of Parkinson's disease in social media users based on linguistic markers
• 11 Reduction of depression levels by innovative peer support among same-linguistic people using TAD framework
• 12 Enhancing the prediction of medical student mental health with a sustainable solution using relational formulated rule-based algorithm
• 13 Leveraging a innovative collaborative ensemble decision trees for professional stress prediction and classification
• 14 Early detection of Poly Cystic Ovary Syndrome using ultrasound ovary image — A convolutional neural network approach
• 15 Diagnosis of 12-LEAD E.C.G. images using residual neural networks
• 16 Efficient diabetes detection and feature selection using CatBoost algorithm
• 17 Super stressed: The prevalence of anxiety among Middle Eastern University students
• 18 Comparative assessment among probiotic formulation and SCFA producing Lactoplantibacillus pentosus C10 in MRS medium enriched with 1% carbon sources to maintain gut homeostasis
• 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
• 20 Economic impact on advanced healthcare a comparative analysis of Brain Tumour detection using VGG-19 and CNN
• 21 Implementation of tobacco control measures targeting adult smokers, using SVM over KNN, to measure the accuracy rates
• 22 A neural network model for prediction of heart disease in chronic diabetic patients
• 23 Comparing the therapeutic effectiveness of Centella Asiatica extract against donepezil on MMP9 protein inhibition in dementia disorders utilizing molecular docking analysis
• 24 Improvising the sustainable stress prediction with the sleep pattern using Node-Edge Synaptic Model
• 25 AI-driven multi-modal data fusion and computer vision for early detection and monitoring of paediatric neurological and developmental disorders
• 26 Efficient real-time pigmentation monitoring in dermatology patients: A comparative study of adaptive techniques and histogram-based algorithms
• 27 Prediction of chronic diseases using support vector machine (SVM) and decision tree (DT) algorithm with improved accuracy
• 28 A comprehensive review on voice based emotional state detection using LLM and deep learning model
• 29 A deep learning-based web application for early detection of Alzheimer's disease
• 30 Sustainability in infant care: An optimal music identifying cradle using reinforcement learning
• 31 Innovative tools for AI-driven scalp and hair assessment: Evaluating mobile application efficacy and user experience
• 32 Innovative AI solutions in mobile dermatology: Examining best practices for scalp and hair analysis through deep learning
• 33 Lung cancer classification with generative adversarial augmentation and graph attention algorithm
• 34 AI enabled healthcare assistant for remote prenatal care
• 35 Methods of rehabilitation in children diagnosed with autism and determination of rehabilitation potential in autism spectrum disorder: A case study
• 36 Emotion-adaptive music therapy for personalised mental health support through sentiment analysis
• 37 Retinal scan analysis for Alzheimer's detection: An AI approach
• 38 An approach to diabetic retinopathy detection through different CNN techniques
• 39 Advancing fetal brain segmentation: A diffusion model approach with explainable AI insights
• 40 Comprehensive analysis on enhanced early prediction of high-risk colorectal cancer patients using deep learning techniques on medical imaging data
• 41 Enhancing healthcare efficiency with a multi-persona platform: Swaasth
• 42 Assessing the impact of gaming on psychological and physical health: Users' perspective
• 43 NADBA: An AI-driven deep learning approach for early skin cancer detection
• 44 Investigation and analysis of the tensile and flexural properties of 3D-Printed Polyether Ether Ketone (PEEK) for biomedical applications
• 45 Facial expression recognition using high order derivative local binary pattern
• 46 Classifying Parkinson's disease using deep learning models and MRI data