The report highlights the crucial role of engineering in achieving each of the 17 SDGs. It shows how equal opportunities for all is key to ensuring an inclusive and gender balanced profession that can better respond to the shortage of engineers for implementing the SDGs. It provides a snapshot of the engineering innovations that are shaping our world, especially emerging technologies such as big data and AI, which are crucial for addressing the pressing challenges facing humankind and the planet. It analyses the transformation of engineering education and capacity-building at the dawn of the Fourth Industrial Revolution that will enable engineers to tackle the challenges ahead. It highlights the global effort needed to address the specific regional disparities, while summarizing the trends of engineering across the different regions of the world.

Artificial intelligence (AI) technology has been very successful across fields such as healthcare, security, precision agriculture, smart city, and autonomous driving and promises numerous benefits for social development, economic growth, wellbeing management, and human healthcare. Various intelligent healthcare applications have been created in order to assist patient healthcare and must be studied further. AI Applications for Disease Diagnosis and Treatment provides the current advances and applications of artificial intelligence applications in healthcare such as disease diagnosis, diet proposal, drug prescription and tracking, and physical and psychological assistance. Covering topics such as assistive healthcare, robotics, and machine learning, it is ideal for healthcare professionals, researchers, data analysts, academicians, practitioners, scholars, instructors, and students.

Advanced Technologies for Solid, Liquid, and Gas Waste Treatment presents the potential of using advanced and emerging technologies to effectively treat waste. This book uniquely addresses treatment techniques for waste in all three phases, solid, liquid, and gas, with the goals of mitigating negative impacts of waste and producing valued-added products, such as biogas and fertilizer, as well as the use of artificial intelligence in the field. • Covers a wide range of advanced and emerging treatment technologies such as photocatalysis processing, adsorptive membranes, pyrolysis, advanced oxidation process, electrocoagulation, composting technologies, etc. • Addresses issues associated with wastes in different phases. • Discusses the pros and cons of treatment technologies for handling different wastes produced by different industrial processes, such as agricultural biomass, industrial/domestic solid wastes, wastewater, and hazardous gas. • Includes application of artificial intelligence in treatment of electronic waste. This book will appeal to chemical, civil, and environmental engineers working on waste treatment, waste valorization, and pollution control.

Scaffold bone replacements are a safe and effective way to cure bone abnormalities, and porous scaffolds can be manufactured using additive manufacturing technology. When scaffolds are implanted in a damaged location, they quickly connect to the host tissue and integrate, stimulating bone production and development. The qualities of porous titanium must be matched to the properties of human bones (i.e., age, sex, and hormones). Using subtractive manufacturing, it is extremely difficult to create the complicated porous structure necessary for the desired characteristic. The Handbook of Research on Advanced Functional Materials for Orthopedic Applications highlights current research pertinent to the orthopedic applications of additive-produced scaffolds in order to consider the latest breakthroughs in the synthesis and multifunctional applications of scaffolds. Covering key topics such as tissue, additive manufacturing, and biomaterial, this major reference work is ideal for industry professionals, engineers, researchers, academicians, practitioners, scholars, instructors, and students.

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.

The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.