The study of environmental and human factors affecting aquifer depth changes using tree algorithm

Mirhashemi, Seyed Hassan; Jou, Parviz Haghighat; Mirzaei, Farhad; Panahi, Mehdi

doi:10.1007/s13762-019-02504-2

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…In the process of obtaining the laparoscope, the 3D scene of the objective world needs to be projected onto the 2D image plane of the camera [ 22 ], and this projection can be explained by image conversion. Figure 1 shows a coordinate system related to 3D space scene imaging.…”

Section: Decision Tree Algorithm and Laparoscopic Image Technologymentioning

confidence: 99%

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta‐Analysis

Liu

Zhao

Song

2023

Computational Intelligence and Neuroscience

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The development of new technologies based on electronic intelligent images is a very active research and promotion of new technologies in recent years. This article mainly summarizes the basic concept, development, and technology of electronic intelligent imaging technology, as well as the research, promotion, and application of electronic intelligent imaging technology in clinical treatment. It especially emphasizes the practicality and application of electronic intelligent imaging technology in the current clinical operation process and conducts a meta-analysis of the current mesorectal excision, so as to provide more scientific and professional guidance for clinical surgery. The results of the meta-analysis showed that 3291 documents were initially obtained and duplicate documents were deleted by searching for keywords in mesocolon excision. We excluded 2399 subjects and articles whose interventions did not meet the inclusion criteria of this study after reading the title and abstract. Then, we obtained 892 papers that may meet the inclusion criteria through preliminary screening. We further optimized the search strategy based on selection criteria and data integrity filtering principles and finally determined 111 references. 100 articles that did not meet the requirements were excluded, and 11 articles were finally included for meta-analysis. Medical imaging can effectively improve the therapeutic effect of mesocolon excision and reduce the occurrence of complications. Therefore, it is very important to combine medical intelligent images for preoperative evaluation, and the development of the combination of surgical treatment and medical images should not be underestimated in the future.

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Section: Decision Tree Algorithm and Laparoscopic Image Technologymentioning

confidence: 99%

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta‐Analysis

Liu

Zhao

Song

2023

Computational Intelligence and Neuroscience

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“…Some researchers now use data mining in different fields such as agriculture, healthcare, banking, sports, and hydrology. The tree data mining algorithm was used previously to predict variations in the depth of the aquifer (Mirhashemi et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Use of two hybrid algorithms in the investigation and prediction of the values of five quantitative traits of guar beans in different deficit irrigation methods

Mirhashemi

2022

Appl Water Sci

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Nowadays, deficit irrigation is of particular importance in areas facing the water shortage and drought. This study focused on the investigation and prediction of the values of five quantitative traits of guar beans under different deficit irrigation methods. Deficit irrigation methods were carried out at the initial, development, mid, and late plant growth stages. The experiment was carried out in 25 treatments each with four replications in 2018 and 2019. Initially, the values of five quantitative traits of guar beans were divided into three categories, the values of which were clustered using the K-means algorithm. Then, clusters were predicted using a combination of K-means and CART algorithms. Finally, the relationship between different deficit irrigation methods and clusters was investigated by a combination of K-means and Apriori algorithms. The results of two hybrid algorithms determined that the amount of irrigation in the mid-stage of plant growth significantly affected the five quantitative traits of guar beans. After the mid-stage of the plant growth, the amount of irrigation in the development, initial, and late growth stages had the greatest effect on the quantitative traits of guar beans. Among the deficit irrigation methods, irrigation rates of 60% in the primary stage, 80% in the development stage, 100% in the mid-stage, and 40% in the late stage of the plant growth were the best deficit irrigation methods in the four stages of growth.

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“…Use of the radial basis function to solve high-dimensional models could bring many advantages to the numerical method [15,16]. Mirhashemi et al [21] used the CART tree algorithm to investigate the aquifer status of the Qazvin plain. Occurrence of water deficit crises in Iran has necessitated multilateral decisions in water management [3].…”

Section: Introductionmentioning

confidence: 99%

Using combined clustering algorithms and association rules for better management of the amount of water delivered to the irrigation network of Abyek Plain, Iran

Mirhashemi

Mirzaei

2021

Neural Comput & Applic

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This study aimed to perform more appropriate management of the water delivered to the irrigation network. For this purpose, a combination of K-Means and Apriori algorithms was conducted to evaluate the impact of various factors on the management of water delivered to the irrigation network. Initially, the amount of water entering the irrigation network and its various influential factors were clustered by the K-Means algorithm. Then, the output information of the K-Means algorithm was selected as the input information of the Apriori algorithm. Accordingly, six optimal clusters were formed by the K-Means algorithm whereby 18 association rules related to six clusters were extracted by the Apriori algorithm. In addition, the amount of water requirements of crops played the greatest impact on the decision of managers for the amount of water delivered to the irrigation network. In some cases, although the amount of precipitation satisfies the water requirements of crops, it does not affect reduction of the amount of water delivered to the irrigation network. Further, air temperature and air humidity percentage had not been considered in the managers' decision related to the amount of water delivered to this network. Since the problem of water deficit and lack of precipitation existed in the Abyek plain, it is suggested that the positive effects of environmental factors on the amount of water delivered to the irrigation network be considered to prevent water wastage.

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The study of environmental and human factors affecting aquifer depth changes using tree algorithm

Cited by 9 publications

References 30 publications

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta‐Analysis

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta‐Analysis

Use of two hybrid algorithms in the investigation and prediction of the values of five quantitative traits of guar beans in different deficit irrigation methods

Using combined clustering algorithms and association rules for better management of the amount of water delivered to the irrigation network of Abyek Plain, Iran

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