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Titlebook: Innovations in Smart Cities Applications Volume 6; The Proceedings of t Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,Nabil Conference proce

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41#
發(fā)表于 2025-3-28 18:39:18 | 只看該作者
,Industrial Digitalization Solutions for?Precision Forestry Towards Forestry?4.0,lts that may occur. A solution is presented to enable CAN Bus communication between the controller, operator joysticks, and sensors/actuators, as well as a Digital Twin solution to emulate machine operations.
42#
發(fā)表于 2025-3-28 21:50:14 | 只看該作者
43#
發(fā)表于 2025-3-29 00:31:25 | 只看該作者
44#
發(fā)表于 2025-3-29 05:19:43 | 只看該作者
45#
發(fā)表于 2025-3-29 10:49:40 | 只看該作者
Cloud Services for Smart Farming: A Case Study of the Veracruz Almond Crops in Portugal,ration in the cloud, making this data available to be consumed, processed, and presented in the monitoring and alerts dashboard. In the current state of the development, several data are collected by sensors, transmitted over LoRaWAN, integrated using AWS IoT Core, and monitored and analysed through a cloud business analytics service.
46#
發(fā)表于 2025-3-29 14:10:06 | 只看該作者
47#
發(fā)表于 2025-3-29 17:02:12 | 只看該作者
,Assessing the?Implementation of?Smart Energy Efficient Street Lighting Projects Within Cities,d project would result in a payback period of 3.86 years. Sensitivity analysis indicates that project’s payback period is mostly sensitive to unit cost price of the newly retrofitted luminaires and electricity price.
48#
發(fā)表于 2025-3-29 23:02:13 | 只看該作者
Solving the Dynamic Ambulance Relocation and Dispatching Problem Using a Novel Metaheuristic,ty and adverse health consequences for patients. In this context, we proposed a dynamic management of emergency vehicles in Morocco through the SOS accident system. Indeed, decision-making in these emergency situations remains a difficult task, given the number of variables that come into play on th
49#
發(fā)表于 2025-3-30 00:37:34 | 只看該作者
50#
發(fā)表于 2025-3-30 07:47:01 | 只看該作者
Evaluating Dimensionality Reduction Approaches on Erstwhile Hyperion and Newly Launched PRISMA Dataful information from such voluminous data. Three such approaches have been tested on Hyperion and PRISMA data of Ahmedabad, India. The eigenvalues and visual inspection of the components chosen from the scree plots, show that the kernel principal component analysis (k-PCA) outperforms both standardi
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