Farheen Siddiqui – författare

This book explores the role of artificial Intelligence in Telemedicine. It explains the concepts through the detailed study and processing of biosignals, physiological parameters, and medical images. The book focuses on computational algorithms in telemedicine for the processing of biosignals, physiological parameters, and medical Images. The book is presented in two section. The first section presents the role of computational algorithms in the processing of biosignal and medical images for disease diagnosis and treatment planning. Noise removal in ECG signal using an improved adaptive learning approach, classification of ECG signals using CNN for cardiac arrhythmia detection, EEG signal analysis for stroke detection, and EMG signal analysis for gesture classification were discussed in this section. Application of CNN in pertussis Diagnosis by temperature monitoring, physician handwriting recognition using deep learning model, melanoma detection using ABCD parameters, and transfer learning enabled heuristic approach for pneumonia detection was also discussed in this section The second section focus on the role of IoT and artificial intelligence in the healthcare sector. IoT in smart health care and applications of artificial intelligence in disease diagnosis and prediction was discussed in this section. The importance of 5G/6G in the pandemic scenario for telemedicine applications, wireless capsule endoscopy image compression, leukemia detection from the microscopic cell images, and genomic signal processing using numerical mapping techniques was also discussed in this section. This book can be used by a wide range of users including students, research scholars, faculty, and practitioners in the field of engineering for applications in biomedical signal, image analysis, and diagnosis.

This book explores the role of artificial Intelligence in Telemedicine. It explains the concepts through the detailed study and processing of biosignals, physiological parameters, and medical images. The book focuses on computational algorithms in telemedicine for the processing of biosignals, physiological parameters, and medical Images. The book is presented in two section. The first section presents the role of computational algorithms in the processing of biosignal and medical images for disease diagnosis and treatment planning. Noise removal in ECG signal using an improved adaptive learning approach, classification of ECG signals using CNN for cardiac arrhythmia detection, EEG signal analysis for stroke detection, and EMG signal analysis for gesture classification were discussed in this section. Application of CNN in pertussis Diagnosis by temperature monitoring, physician handwriting recognition using deep learning model, melanoma detection using ABCD parameters, and transfer learning enabled heuristic approach for pneumonia detection was also discussed in this section The second section focus on the role of IoT and artificial intelligence in the healthcare sector. IoT in smart health care and applications of artificial intelligence in disease diagnosis and prediction was discussed in this section. The importance of 5G/6G in the pandemic scenario for telemedicine applications, wireless capsule endoscopy image compression, leukemia detection from the microscopic cell images, and genomic signal processing using numerical mapping techniques was also discussed in this section. This book can be used by a wide range of users including students, research scholars, faculty, and practitioners in the field of engineering for applications in biomedical signal, image analysis, and diagnosis.

This book contains original, peer-reviewed research articles from 4th International Conference on ICT for Digital, Smart, and Sustainable Development (ICIDSSD 2025), organized by Jamia Hamdard, Delhi, India, during 22–23 April 2025. It includes most recent research trends and advancements in sustainable computing, sustainable energy consumption, governance, sustainability and security, human-built systems for sustainable development, sustainable IoT and cyber physical systems, big data analytics, data science and IoT, cloud computing, and artificial intelligence.

This book explores the transformative role of Digital Twin technology in shaping next-generation smart cities and urban ecosystems. It provides a comprehensive overview of how digital twins—dynamic virtual representations of physical assets, systems, and environments—enable real-time monitoring, simulation, and data-driven decision-making in complex urban infrastructures. The book covers the foundational concepts of digital twins, their integration with enabling technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), big data analytics, and cloud computing, and their practical applications across multiple domains of urban development. Key application areas discussed include transportation systems, energy management, healthcare services, infrastructure planning, public safety, and sustainable urban governance.Beyond conceptual foundations, the book highlights practical frameworks, real-world case studies, and technological architectures that demonstrate how digital twin ecosystems can improve urban efficiency, resilience, and sustainability. It examines the critical role of data integration, predictive analytics, and IoT-driven connectivity in enabling intelligent city management and proactive decision-making. By presenting global examples and interdisciplinary perspectives, the book bridges the gap between theory and practice, illustrating how digital twins can optimise resource utilisation, enhance citizen services, and support sustainable urban transformation.The book also addresses emerging challenges, ethical considerations, and future research directions in deploying digital twins for smart cities. Issues such as data governance, cybersecurity, interoperability, privacy, and implementation complexity are discussed alongside future trends, including AI-driven urban modelling, edge computing, immersive visualization, and next-generation connectivity. By combining technological insights with urban policy perspectives, this book serves as a valuable resource for researchers, policymakers, urban planners, and technology professionals seeking to understand and implement digital twin technologies for innovative and sustainable urban development.