Titlebook: Optimization, Learning, and Control for Interdependent Complex Networks; M. Hadi Amini Book 2020 Springer Nature Switzerland AG 2020 inter

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An Introduction to Advanced Machine Learning: Meta-Learning Algorithms, Applications, and Promisesng machine learning limitations. Majority of optimization algorithms that have been introduced in Mohammadi et al. (Evolutionary computation, optimization and learning algorithms for data science, 2019. arXiv preprint arXiv: 1908.08006; Applications of nature-i nspired algorithms for dimension reduc

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Toward Operational Resilience of Smart Energy Networks in Complex Infrastructurespreparation and optimal post-disturbance restoration. In this context, effective contingency management in power distribution networks calls for contemplating disparate parameters from interconnected electric and transportation systems. This chapter, while considering transportation issues in power

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Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithmsspecific task. In contrast with a single UAV, UAV swarms are expected to benefit efficiency, flexibility, accuracy, robustness, and reliability. However, the provision of external communications potentially exposes them to an additional layer of faults, failures, uncertainties, and cyberattacks and

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Photovoltaic Design for Smart Cities and Demand Forecasting Using a Truncated Conjugate Gradient Alg change presents a serious threat to the natural world. This is likely to affect our future unless action is taken to avoid such phenomena. In addition, without ambitious mitigation efforts, global temperature rises will occur in this century. In recent years, countries all over the world have had t

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Feature Selection in High-Dimensional Data greatly enhance the process of prediction and diagnosis of cancer. After selecting effective genes, the duty of a specific classifier is usually to discriminate healthy people from patients that are suffering from cancer based on their expression of the selected genes..A vast body of feature select

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Bi-level Adversary-Operator Cyberattack Framework and Algorithms for Transmission Networks in Smart measurements on targeted buses in the system to overflow the targeted line. Second, the problem is analyzed from the operator’s viewpoint and a detection algorithm is proposed using .. norm minimization approach to identify the bad measurement vector in data readings. In order to evaluate the effect