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Titlebook: Artificial Intelligence Applications for Smart Societies; Recent Advances Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset Book 2021 Spring

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發(fā)表于 2025-3-21 18:52:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence Applications for Smart Societies
期刊簡稱Recent Advances
影響因子2023Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset
視頻videohttp://file.papertrans.cn/163/162117/162117.mp4
發(fā)行地址Discusses a variety of Artificial Intelligence applications in smart, internet-connected societies.Addresses the uses of AI in crowdsourcing systems and services for smart cities.Covers the integratio
學(xué)科分類Studies in Distributed Intelligence
圖書封面Titlebook: Artificial Intelligence Applications for Smart Societies; Recent Advances Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset Book 2021 Spring
影響因子.This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques?on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in?traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via?GPS devices, GIStools, traffic cameras, smart cards, smart phones and road deceleration devices enables?citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including?pollu
Pindex Book 2021
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Multi-Objective WSN Detection Model in the Internet of Underwater Things (IoUT) for Smart Cities,of applications in a diverse number of sensors and vehicles that undergo deployment to carry out the distributed monitoring processes in the given area. This study aimed to develop a new and efficient multi-object detection model using a fast-region-based convolution neural network (Fast-RCNN). The
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A Framework of Automated Office Farming with Advanced Sensing Technology for Smart Cities,l. This automated system employs a wireless sensor network; proceeded by a combination of interfacing sensors such as a weather system, a soil monitoring system, a plant growth monitoring system, an irrigation system, a pest control system, and a harvesting system with Arduino, which uses a programm
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2662-3706 raffic cameras, smart cards, smart phones and road deceleration devices enables?citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including?pollu978-3-030-63070-6978-3-030-63068-3Series ISSN 2662-3706 Series E-ISSN 2662-3714
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Book 2021and computing for smart cities. this section discusses how CS via?GPS devices, GIStools, traffic cameras, smart cards, smart phones and road deceleration devices enables?citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including?pollu
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