Titlebook: Artificial Intelligence of Things for Smart Green Energy Management; Sarah El Himer,Mariyam Ouaissa,Zakaria Boulouard Book 2022 The Editor

Alveoli

Improving Control for an Induction Machine Using Artificial Intelligence, machines. For this, we adopted a model of the control adapted to the identifiable parameters. The control method developed is the Direct Torque Control or DTC. This control is based on simple hysteresis regulators and switching tables, providing energy advantages in both regimes, but presents rippl

Arbitrary

Evaluation of the Recommended Algorithms in the Internet of Things,erhaps, the Internet is, so far, the most suitable infrastructure to establish a connection between billions of things. Internet of Things (IoT) phrase was introduced to express this fact. The internet security challenges have always been the concern of scientists. However, IoT imposes new demands s

Indecisive

可商量

茁壮成长

Application of Artificial Intelligence (AI) in Supply Chain: An Overview,his article is focusing particularly on the application of AI in the supply chain. Looking at the numerous benefits of AI, many industries, researchers and practitioners across the world had started exploring this area. The AI consists of many tools such as machine learning, deep learning, expert sy

MIR

Acorn Waste Valorization as Reinforcement in Polystyrene Composite: A Comparative Study, context of sustainable industrial technology, scientific research favors the elaboration of plastics reinforced by organic waste, considering their low cost and their very interesting thermal and mechanical properties that will benefit the matrix. In the present study, we focused on acorn as bio-re

Obscure

Design and Analysis of a Smart Anti-lock Braking System,re models and to show the effect of slip, camber, braking, traction, etc. and to produce graphical plots for lateral acceleration, longitudinal traction and braking force. It is also reduce self-aligning moment for both time response and slip angle/ratio response and also for various load conditions

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https://doi.org/10.1007/978-3-031-04851-7Artificial Intelligence; Internet of Things; Energy Management System; Smart Cities; Sustainable Develop

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