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Secrets from the Past
Years have passed since Nico Belinsky last saw Kaylin La Rocca, but he can’t forget the girl he once thought of as a sister. Or the fact that she’s wanted for murder. When Emmy Black, a woman who lives up to her name by walking on the dark side, offers a favour, Nico tasks her with searching for his old friend. He’s playing with fire in more ways than one—not only does he risk stirring up a hornets’ nest, but the last time he saw Kaylin, his feelings toward her were anything but brotherly. Kaylin La Rocca fell for a man out of a romance novel, but it turned out to be more of a horror story. Now she’s his prisoner, a pretty little princess trapped in a glittering tower. A possession. She dreams of rescue, but any potential prince will have to face not only the cops but the villain who has claimed her. Can Nico and Emmy rescue her from the devil’s clutches and prove that happily ever afters do exist? Secrets from the Past is a romantic suspense crossover between Blackwood Security and Baldwin's Shore.
Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications
As the human population expands and natural resources become depleted, it becomes necessary to explore other sources for energy consumption and usage. Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of emerging perspectives and innovations for alternative energy sources. Highlighting relevant concepts on energy efficiency, current technologies, and ongoing industry trends, this is an ideal reference source for academics, practitioners, professionals, and upper-level students interested in the latest research on renewable energy.
The Ethics of Artificial Intelligence
The Ethics of Artificial Intelligence develops the theses that AI is an unprecedented divorce between agency and intelligence and, on this basis, that AI as a new form of agency can be harnessed ethically and unethically. Luciano Floridi argues in favour of a marriage between the Green of environmentalism and the Blue of our digital technologies.
Decision Making Using AI in Energy and Sustainability
Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.
Leading-edge Electric Power Research
This book presents new and significant research on electric power. The world is becoming increasingly electrified. For the foreseeable future, coal will continue to be the dominant fuel used for electric power production. The low cost and abundance of coal is one of the primary reasons for this. Electric power transmission, a process in the delivery of electricity to consumers, is the bulk transfer of electrical power. Typically, power transmission is between the power plant and a substation near a populated area. Electricity distribution is the delivery from the substation to the consumers. Due to the large amount of power involved, transmission normally takes place at high voltage (110 kV ...
Supply Chain Transformation for Pursuing Carbon-neutrality
Despite the positive outcomes of shifting to renewables and energy efficiency, it is now apparent that the traditional approaches can no longer result in desired improvements; technological transition of the manufacturing sector is necessary to pursuing carbon neutrality and ecological restoration. Adoption of disruptive new technologies that support the green transformation of manufacturing supply chains and the possibilities of employing Negative Emission Technologies in the supply chain is receiving attention among practitioners and academics. Exploring the opportunities and challenges with a focus on carbon peak and neutrality concepts, both in theory and practice, is important for the sustainable development of manufacturing industries.
A Strategy for Using Multicriteria Analysis in Decision-Making
This book develops a whole strategy for decision-making, with the full participation of the decision-maker and utilizing continuous feedback. It introduces the use of the very well-known and proven methodology, linear programming, but specially adapted for this purpose. For this, it incorporates a method to include subjective concepts, as well as the possibility of working with many different and even contradictory objectives. The book is liberally populated with diverse case studies to illustrate the concepts. This practical guide will be of interest to anyone undertaking analysis and decision-making, on both simple and complex projects, and who is looking for a strategy to organize, classify, and evaluate the large amount of information required to make an informed decision. The strategy includes methods to analyze the results and extract conclusions from them.
Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method
Nowadays, integrated land management is generally governed by the principles of sustainability. Land use management usually is grounded in satellite image information. The detection and monitoring of areas of interest in satellite images is a difficult task. We propose a new methodology for the adaptive selection of edge detection algorithms using visual features of satellite images and the multi-criteria decision-making (MCDM) method. It is not trivial to select the most appropriate method for the chosen satellite images as there is no proper algorithm for all cases as it depends on many factors, like acquisition and content of the raster images, visual features of realworld images, and humans’ visual perception. The edge detection algorithms were ranked according to their suitability for the appropriate satellite images using the neutrosophic weighted aggregated sum product assessment (WASPAS) method. The results obtained using the created methodology were verified with results acquired in an alternative way—using the edge detection algorithms for specific images. This methodology facilitates the selection of a proper edge detector for the chosen image content.
