Titlebook: Metaheuristics in Machine Learning: Theory and Applications; Diego Oliva,Essam H. Houssein,Salvador Hinojosa Book 2021 The Editor(s) (if a

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Alfonso Ramos-Michel,Marco Pérez-Cisneros,Erik Cuevas,Daniel Zaldivaroherent-state technique, as described in Coherence of Light, to particular studies of the quantum statistical properties of radiation interacting with matter. In particular. nonlinear optical processes are considered, and purely quantum phenom­ ena such as antibunching of photons, their sub-Poisson

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Adrian Barradas,Andrea Gomez-Alfaro,Rosa-María Cantón-Crodaant and is dependent on the nature of the growth substrate, the pathway of its breakdown and the specific growth rate. An important new development was then the introduction of the method for material balancing during bacterial growth. At the same time calculations on the thermodynamic efficiency of

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Hyperparameter Optimization in a Convolutional Neural Network Using Metaheuristic Algorithms,olutional neural network architecture as well as the same dataset (MNIST database) also each algorithm is run 30 times to perform the corresponding statistics. Finally, the results of the algorithms are shown.

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Diagnosis of Collateral Effects in Climate Change Through the Identification of Leaf Damage Using aree leaves, which to our knowledge, have not been studied and reported in existing scientific literature. The results of combining these two classification approaches, show optimal rates in binary datasets and highly competitive percentages in multiclass sets. As a result, it can be shown that the c

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A Metaheuristic Algorithm for Classification of White Blood Cells in Healthcare Informatics,ving criteria for efficiency and reliability, while making the methodology more accessible to less favored populations. Reflecting on laboratory medical exams generally present costs that are inaccessible to populations of underdeveloped and developing countries. Faced with this, it is of enormous v

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,Multi-level Thresholding Image Segmentation Based on Nature-Inspired Optimization Algorithms: A Comlue that separates an image based on each pixel intensity into two regions namely foreground and background. While the MT methods are used to divide an image into two or more classes using two or more thresholds. However, to accomplish the selection task of the optimal thresholds traditional thresho

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