This chapter is about relationship between e-Governance and sustainability, highlighting digital governance initiatives for promoting sustainable development. As governments worldwide increasingly adopt e-Governance frameworks, there is a growing recognition of their potential to drive...

As the global push for sustainability fast-tracks, governments are increasingly adopting innovative green technologies to reshape public services and governance systems. This paper explores the latest trends and innovations in green technology that are driving the evolution of sustainable...

This chapter explores the way machine learning is being used in governance, with a particular emphasis on how new AI technologies have the potential to completely transform public sector operations. Machine learning presents enormous potential for enhancing resource management, decision-making,...

Machine learning (ML) does an excellent job of enhancing traffic management, object detection and collision avoidance in autonomous driving which has direct real-world impact on smart city governance. These algorithms process a vast stream of real-time data coming from sensors, cameras, and IoT...

Human Pose Estimation and Activity Recognition using deep learning are critical components for rising smart cities. These technologies influence convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to accurately perceive and track human postures and actions from video data....

Deep Learning (DL) is an area of artificial intelligence (AI), wherein machine learning (ML) using convolutional neural networks to detect patterns in data and forecast its worth. It excels in tough settings like climate change and can handle sophisticated jobs such as image and speech...

India is fast advancing its digital goals, with initiatives like Make in India and Digital India benefiting the economy. However, because of its reliance on interconnected networks and systems, cyber security is challenging to implement. As one of the most often targeted countries in cyberspace,...

Advancements in affordable computing and communication technologies have led to the widespread proliferation of interconnected devices, giving rise to a new era characterized by devices that sense, compute, and share information, forming loosely connected Cyber-Physical Systems (CPS). Managing...

In the context of machine learning, a poisoning attack is a type of attack where an adversary deliberately introduces malicious data into a dataset used to train a machine learning model, with the goal of causing the model to make incorrect predictions. This can have serious consequences,...

Deep learning has significantly advanced image encryption, moving beyond traditional diffusion and confusion methods. This work explores three key methodologies: Encryption with Style Transfer uses neural networks to alter an image's visual style, enhancing security through aesthetic changes but...