Titlebook: Computational Intelligence Techniques for Green Smart Cities; Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Book 2022 The Editor(s) (if applic

flavonoids

Traffic Sign Detection for Green Smart Public Transportation Vehicles Based on Light Neural Network ors model in combination with SqueezeNet model which was used as lightweight backbone for features extraction. The use of SqueezeNet has been proposed to ensure a lightweight implementation on FPGA. In order to ensure the model implementation on FPGA, different optimizations techniques have been pro

Consequence

谦卑

Deep Learning-Based Convolutional Neural Network with Cuckoo Search Optimization for MRI Brain Tumou and texture features area, convex area, equivalent diameter, mean, eccentricity, solidity, perimeter, entropy, smoothness and standard deviation are extracted from the ROIs. The CNN is trained to identify the feature vectors belonging to the four class’s pleural effusion, pneumothorax, normal lung

CROAK

我就不公正

现代

蒸发

Carminative

braggadocio

Aviary

But What is the Driving Mechanism?,ral solutions and forecasting models based on machine learning have been extensively proposed in the literature for predicting power energy that should be deployed for future smart cities. This chapter aims to conduct a systematic mapping study to analyze and synthesize studies concerning machine le