This book highlights the recent findings and advances in science engineering technology and sustainability issues. It aims to discuss, reflect and share experience in addressing the findings in science engineering technology and sustainability. The book aims to report the various interrelated disciplines from different institutions to discuss, reflect and share technology and experience in addressing new findings and strategies. This book presents the proceedings of the Science Engineering Technology and Sustainability International Conference (SETS2021) which was held virtually—as sustainable virtual conferences become the new normal—during December 23–25, 2021. This book is presenting latest research findings, and it is suitable for researchers, postgraduate students, professionals and experts. The book includes interesting and top research in fuzzy modeling and decision-making applications in computer science. Several chapters address trending research about bioremediation and phytoremediation. There are mainly three research findings that cover artificial intelligence, sustainability and new technologies.

The sustainability of any process lies in the eco-friendly and economical production of products for applications. Bio-based materials are emerging as raw materials for different products and applications. The book covers cellulose, chitosan, silk, collagen and gelatin bio-based materials. It describes their use in biomedical applications, such as orthopaedic implant, drug delivery, tissue culture, biosensor and engineering applications such as fuel cells, energy storage and packaging. It concludes with the use of bio-based materials as precursors for biorefinery, biolubricants, membranes and adsorbents.

This book highlights the recent findings and advances in science engineering technology and sustainability issues. It aims to discuss, reflect and share experience in addressing the findings in science engineering technology and sustainability. The book aims to report the various interrelated disciplines from different institutions to discuss, reflect and share technology and experience in addressing new findings and strategies. This book presents the proceedings of the Science Engineering Technology and Sustainability International Conference (SETS2021) which was held virtually-as sustainable virtual conferences become the new normal-during December 23-25, 2021. This book is presenting latest research findings, and it is suitable for researchers, postgraduate students, professionals and experts. The book includes interesting and top research in fuzzy modeling and decision-making applications in computer science. Several chapters address trending research about bioremediation and phytoremediation. There are mainly three research findings that cover artificial intelligence, sustainability and new technologies.

Preface -- 1. Introduction -- 2. Setting up a design assignment -- 3. Structuring the sustainability context -- 4. Creating design solutions -- 5. Acquiring sustainable design competences.

Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.

ICICS is a series of conferences initiated by School of Electronics and Electrical Engineering at Lovely Professional University. Looking at the response to the conference, the bi-annual conference now onwards will be annual. The 5th International Conference on Intelligent Circuits and Systems (ICICS 2023) will be focusing on intelligent circuits and systems for achieving the targets in Sustainable Development Goal (SDG) 3, identified as ‘Good Health and Wellbeing’ by United Nations (Refs: https://sdgs.un.org/goals/goal3, https://sdg-tracker.org/).