Alternatively, predictive models that build on machine learning algorithms have granted much interest from the building design community due to their ability to handle such complex non-linear problems, acting as proxies to heavy simulations. This research presents a review on the growing directions ...
The potential of these advanced ML and DL algorithms to provide intelligent security countermeasures has attracted more research. As a result, there have been studies on the review and surveys on the security of SG-CPS using ML techniques. For instance, a study by Yohanandhan et al. (2020)...
Machine learning (ML) has been applied in various aspects of AM to improve the whole design and manufacturing workflow especially in the era of industry 4.0. In this review article, various types of ML techniques are first introduced. It is then followed by the discussion on their use in ...
A Review of Machine Learning Algorithms on IoT Applications This paper appears to have been written in part using a thesaurus engine to avoid plagiarism detection. It contains odd, sometimes nonsensical, language, and tortured phrases. For example, the opening paragraph...
gradient based algorithms do not always come up with global best solution. Their solutions are dependent on the parameter initialization and the complexity of the feature space, so they are more likely to converge at local extrema. Extreme learning machine (ELM) was proposed by Guang-Bin and Qin...
A Review on Multi-Label Learning Algorithms Min-Ling Zhang, Member, IEEE and Zhi-Hua Zhou, Fellow, IEEE Abstract Multi-label learning studies the problem where each example is represented by a single instance while associated with a set of labels simultaneously. During the past decade, significan...
The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and ob...
The precision of the models is highly dependent on the relative error between the actual data and the prediction which can be minimized by employing appropriate optimization algorithms. In this regard, integrating the machine learning approaches with more Conclusion In this work, the studies carried ...
Many types of wireless applications use mmWave antennas, and by using machine learning algorithms with the system, it becomes more flexible. Machine learning tools are finding useful applications in both mm-wave and massive MIMO antenna design. The large antenna array designed for mm-wave systems ...
A review on machine learning algorithms to predict daylighting inside buildings. Sol. Energy 202: 249–275, https://doi.org/10.1016/j.solener.2020.03.104.Search in Google Scholar Balachandar, G., Khanna, N., and Das, D. (2013). Biohydrogen production from organic wastes by dark ...