Mediocre
发表于 2025-3-26 21:21:53
An Efficient Low-Cost Smart Water Monitoring System Based on the Internet of Things and Artificial nce techniques to implement the smart water monitoring system. The proposed work utilized Raspberry Pi and low-cost sensors to monitor water resources. The output of the research system is found to be better compared to existing systems.
令人不快
发表于 2025-3-27 04:22:05
http://reply.papertrans.cn/17/1622/162117/162117_32.png
nephritis
发表于 2025-3-27 06:58:28
http://reply.papertrans.cn/17/1622/162117/162117_33.png
填满
发表于 2025-3-27 13:25:14
Philip Kitcher,Daniel Immerwahrss-scaling chaotic genetic ant colony (FSCGAC) algorithm is utilized in this chapter. During the simulation, a series of experiments occur and show competitive performance over the other methods in a significant way.
亵渎
发表于 2025-3-27 17:23:00
http://reply.papertrans.cn/17/1622/162117/162117_35.png
Obloquy
发表于 2025-3-27 18:02:09
http://reply.papertrans.cn/17/1622/162117/162117_36.png
无聊的人
发表于 2025-3-28 01:26:46
http://reply.papertrans.cn/17/1622/162117/162117_37.png
forecast
发表于 2025-3-28 02:51:09
An Efficient Low-Cost Smart Water Monitoring System Based on the Internet of Things and Artificial eople regarding water scarcity. A water management system must be used to avoid wasting water and reduce the consumption of water. The existing smart water management systems are not affordable for low-income people. This chapter aims to frame an intelligent architecture with minimum cost for the ma
引起痛苦
发表于 2025-3-28 09:06:17
Multi-Objective WSN Detection Model in the Internet of Underwater Things (IoUT) for Smart Cities,horities to provide necessary services in a fast and effective way. Smart cities are also far more ecologically friendly because they utilize sustainable materials for building facilities. Effective use of technologies helps to create an efficient underwater wireless sensor network (UWSN) that is us
Disk199
发表于 2025-3-28 12:42:17
http://reply.papertrans.cn/17/1622/162117/162117_40.png