A Discrete Water Cycle Algorithm for Cellular Network Cost Management

Babani, Vikas; Charulata, None; Pragya,; Prateek, .; Arya, Rajeev; Qamar, Shamimul

doi:10.1007/s11277-022-09485-5

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…There is also a need to further strengthen and refine the construction goals of water resources monitoring resources. It is clearly stated in the national environmental emergencies monitoring requirements that national environmental emergencies monitoring needs to have the basic performance of technical capabilities, the ability to accurately monitor online in real time, the ability to timely transfer monitoring data to the national monitoring department and other basic performance [11][12]; it is required to be able to accurately and efficiently, quickly and accurately achieve the automatic acquisition and release of monitoring data during the national environmental emergencies emergency [13][14] .…”

Section: Water Environment Monitoring Resources Construction Objectivesmentioning

confidence: 99%

Water Pollution Source Management Resources Incorporating Microscopy Images and Clustering Algorithms

2021

WPPCP

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The main source of water resources in China is agricultural irrigation. With the increase of agricultural scale operation and agricultural mechanization, agricultural irrigation and water resources protection have become one of the main causes of current water environment pollution problems. Traditional water pollution source management methods have serious problems of resource waste and inefficiency. The main purpose of this paper is to integrate microscopic technology images and clustering algorithms to conduct research on the construction of water pollution source management resources. In this paper, we use microscopy technology and clustering algorithm to fuse high-resolution images with GIS data to classify water classes, land and rivers in the images into classes and construct a comprehensive remediation resource construction plan for polluted rivers. The results show that the water pollution source management resource construction scheme based on microscopic technology image and clustering algorithm can significantly improve the efficiency of water resources monitoring; at the same time, it can realize the use of higher resolution land water quality monitoring resources; realize the low investment and operation cost of water pollution source management.

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Section: Water Environment Monitoring Resources Construction Objectivesmentioning

confidence: 99%

Water Pollution Source Management Resources Incorporating Microscopy Images and Clustering Algorithms

2021

WPPCP

View full text Add to dashboard Cite

show abstract

A Discrete Water Cycle Algorithm for Cellular Network Cost Management

Cited by 1 publication

References 23 publications

Water Pollution Source Management Resources Incorporating Microscopy Images and Clustering Algorithms

Water Pollution Source Management Resources Incorporating Microscopy Images and Clustering Algorithms

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