You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced ...
Insect robots, inspired by the agility and resilience of insects, are emerging as innovative tools in disaster recovery efforts. These small, agile robots are designed to navigate through tight spaces, unstable environments, and hazardous conditions that are often inaccessible to human responders. Their ability to operate autonomously or in swarms makes them particularly effective in large-scale disasters where speed and efficiency are crucial. As technology continues to advance, insect robots are poised to play an increasingly vital role in enhancing the effectiveness and safety of disaster recovery operations, providing invaluable support in the race against time to save lives. Exploring t...
The deep sea, a vast and largely unexplored frontier, harbors intricate ecosystems that play a critical role in maintaining the health of our planet. However, deep sea mining and climate change pose significant threats to these fragile ecosystems. Through interdisciplinary research and advocacy, scientists and environmentalists are working to better understand the complexities of these ecosystems and the impacts of human activities. By raising awareness and influencing decision-makers, this work is essential in ensuring the protection of the deep sea and its vital role in regulating global climate and supporting marine life. Technological Advancements for Deep Sea Ecosystem Conservation and ...
This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the ar...
The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress. New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry.
Integrating electric vehicles (EVs) into power distribution systems presents significant challenges, particularly concerning power source dependability and grid stability. The distribution system, a critical element of the power system, is susceptible to failures and power outages exacerbated by the extensive adoption of EVs. Additionally, managing the administration, monitoring, and control of power systems in the context of EV integration is a complex and daunting task for energy experts. A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations offers a comprehensive solution to these challenges. It explores infrastructure frameworks, planning strategies, control strategies, and software applications for integrating EVs with power distribution systems, focusing on innovative grid developments. By providing insights into architectural reconfiguration, restoration strategies, power quality control, and regulatory aspects, the book equips students, researchers, academicians, policymakers, and industry experts with the knowledge needed to achieve a secure, resilient, and efficient integration of EVs into distribution networks.
In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.
Due to the diversity of contexts in which biological computation is performed, a major problem is the selection of functional-oriented techniques for the analysis of biological sequences in a huge environment. The performances of various sequences in biocomputational algorithms are evaluated with variant features to prove their efficiency in real-time environments. Structural and Functional Aspects of Biocomputing Systems for Data Processing provides insight into the structural and functional aspects of biological sequences and the pattern recognition they embed into the data processingcepts, methodologies, and empirical research advances of various biological data mining systems through machine learning approaches. Covering topics such as DNA sequencing, high-speed architecture, and medical image processing, this premier reference source is an essential resource for healthcare professionals, biological systems in biocomputing systems. It extends recent con specialists, industrial professionals, PCR testing professionals, scientists, bioinformaticians, students and educators of higher education, librarians, researchers, and academicians.
In the ever-evolving landscape of engineering, a pressing challenge looms largethe need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for optimal solutions has never been more pronounced. Traditional approaches are often inadequate, prompting the search for advanced optimization techniques capable of unraveling the intricacies inherent in engineering systems. The problem at hand is clear: how can engineers, researchers, and practitioners harness cutting-edge methodologies to address the multifaceted challenges shaping our technological...
The achievement of high-efficiency and precise grinding of difficult-to-cut metals—like titanium alloys—is essential in the aerospace industry. However, the process often results in thermal damage to the workpiece surface, posing a significant technical challenge. While minimum quantity lubrication (MQL) has been used to aid titanium alloy grinding, its effectiveness is limited by insufficient heat dissipation and lubrication. As an alternative to normal temperature air for carrying micro-lubricants, Cryogenic air has shown promise in improving oil film heat transfer and lubrication performance in the grinding zone, thus reducing workpiece surface thermal damage. The experimental state o...