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Titlebook: Machine Learning and Metaheuristics: Methods and Analysis; Uma N. Dulhare,Essam Halim Houssein Book 2023 The Editor(s) (if applicable) and

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Automatic Prediction of Non-alcoholic Liver Disease Using Deep Learning Models,ork presented here proposes a novel method for liver cancer detection using neural network concepts. Feature extraction is done using wavelet and grey-level co-occurrence matrix from an input image. One approach is to categorise the dataset as normal or abnormal. Meanwhile, additional methods that r
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Renewable Energy Optimization System Using Fuzzy Logic,ms along with their benefits and drawbacks, hybrid wind and solar energy systems with various hybrid energy system components to identify the best possible combination of energy components for a typical rural community in order to minimize the total net present cost of the system over its lifetime.
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Artificial Intelligence-Based Internet of Things Security, where AI-based models assist in extracting pertinent data. Additionally, there is a possibility for malicious arracks when data is transmitted from device to device. The use of Artificial Intelligence (AI) approaches to improve the security of Internet of Things (IoT) systems is explored in this ch
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Memristors: A Missing Element is a Boon Toward the Development of Neuromorphic Computing and AI,n methods employed to evaluate multi-layered memory stores and the investigation of the device’s surface morphology using the FEGSEM technique. Overall, the chapter will provide insights into the potential of memristors and their role in advancing various fields, particularly in the realm of neuromo
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Machine Learning and Deep Learning Techniques,come more and more relevant. Other approaches include random forest classifiers, support vector machines, and object-based classification tree analysis. Identifying and reducing uncertainty in the image-processing chain is needed to improve classification accuracy. Finally, future research direction
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,Metaheuristic Algorithm’s Role in Medical Care and Diagnostics,nstrated to be very flexible and effective in tackling complex optimisation issues in medical research. For improved performance, it is a standard practise to hybridise metaheuristics with another suitable algorithm. The fundamental purpose is to demonstrate the investigator’s contributions by prese
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