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Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam

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Geoscience Frontiers 2021年第5期12卷 54-68页

作者： Hoang Phan Hai Yen Binh Thai Pham Tran Van Phong Duong Hai Ha Romulus Costache Hiep Van Le Huu Duy Nguyen mahdis amiri Nguyen Van Tao Indra Prakash Department of Geography School of Social Sciences EducationVinh University182 Le DuanVinhNghe AnVietnam University of Transport Technology Hanoi 100000Viet Nam Institute of Geological Sciences Vietnam Academy of Science and Technology(VAST)84 Chua LangDong DaHanoiViet Nam Institute for Water and Environment Hanoi 100000Viet Nam Research Institute of the University of Bucharest 90-92 Sos.Panduri5th DistrictBucharestRomania National Institute of Hydrology and Water Management București-Ploiești Road97E1st District013686 BucharestRomania Faculty of Geography VNU University of ScienceVietnam National University334 Nguyen TraiHanoi 100000Viet Nam Department of Watershed&Arid Zone Management Gorgan University of Agricultural Sciences&Natural ResourcesGorgan ***Iran DDG(R)Geological Survey of India Gandhinagar 382010India

The groundwater potential map is an important tool for a sustainable water management and land use planning,particularly for agricultural countries like *** this article,we proposed new machine learning ensemble techniques namely AdaBoost ensemble(ABLWL),Bagging ensemble(BLWL),Multi Boost ensemble(MBLWL),Rotation Forest ensemble(RFLWL)with Locally Weighted Learning(LWL)algorithm as a base classifier to build the groundwater potential map of Gia Lai province in *** this study,eleven conditioning factors(aspect,altitude,curvature,slope,Stream Transport Index(STI),Topographic Wetness Index(TWI),soil,geology,river density,rainfall,land-use)and 134 wells yield data was used to create training(70%)and testing(30%)datasets for the development and validation of the *** statistical indices were used namely Positive Predictive Value(PPV),Negative Predictive Value(NPV),Sensitivity(SST),Specificity(SPF),Accuracy(ACC),Kappa,and Receiver Operating Characteristics(ROC)curve to validate and compare performance of *** show that performance of all the models is good to very good(AUC:0.75 to 0.829)but the ABLWL model with AUC=0.89 is the *** the models applied in this study can support decision-makers to streamline the management of the groundwater and to develop economy not only of specific territories but also in other regions across the world with minor changes of the input parameters.

关键词： Locally weighted learning Hybrid models Groundwater potential GIS Vietnam

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Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1431-1449页

作者： Nguyen Thanh Hoan Nguyen Van Dung Ho Le Thu Hoa Thuy Quynh Nadhir Al-Ansari Tran Van Phong Phan Trong Trinh Dam Duc Nguyen Hiep Van Le Hanh Bich Thi Nguyen mahdis amiri Indra Prakash Binh Thai Pham Institute of Geography Vietnam Academy of Science and TechnologyHanoi10000Viet Nam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Institute of Geological Sciences Vietnam Academy of Science and Technology(VAST)Dong DaHanoi10000Viet Nam University of Transport Technology Thanh XuanHa Noi10000Viet Nam Department of Watershed&Arid Zone Management Gorgan University of Agricultural Sciences&Natural ResourcesGorgan***Iran DDG(R)Geological Survey of India Gandhinagar382010India

Water level predictions in the river,lake and delta play an important role in flood *** year Mekong River delta of Vietnam is experiencing flood due to heavy monsoon rains and high *** subsidence may also aggravate flooding problems in this ***,accurate predictions of water levels in this region are very important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses of life and *** are so many methods available to predict the water levels based on historical data but nowadays Machine Learning(ML)methods are considered the best tool for accurate *** this study,we have used surface water level data of 18 water level measurement stations of the Mekong River delta from 2000 to 2018 to build novel time-series Bagging based hybrid ML models namely:Bagging(RF),Bagging(SOM)and Bagging(M5P)to predict historical water levels in the study *** of the Bagging-based hybrid models were compared with Reduced Error Pruning Trees(REPT),which is a benchmark ML *** data of 19 years period was divided into 70:30 ratio for the *** data of the period 1/2000 to 5/2013(which is about 70%of total data)was used for the training and for the period 5/2013 to 12/2018(which is about 30%of total data)was used for testing(validating)the *** of the models was evaluated using standard statistical measures:Coefficient of Determination(R2),Root Mean Square Error(RMSE)and Mean Absolute Error(MAE).Results show that the performance of all the developed models is good(R2>0.9)for the prediction of water levels in the study ***,the Bagging-based hybrid models are slightly better than another model such as ***,these Bagging-based hybrid time series models can be used for predicting water levels at Mekong data.

关键词： Computational techniques bagging water level time series algorithms

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Effect of Different Titanium Surface Treatments on the Adhesion Test Result:Dental Application

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Journal of Wuhan University of Technology(Materials Science) 2023年第1期38卷 255-259页

作者： Alireza Valanezhad Masayoshi Suzue Sirus Safaee mahdis Nesabi Mohammad Khodaei Shigeaki Abe Ikuya Watanabe Department of Dental and Biomedical Materials Science Nagasaki UniversityNagasakiJapan Medical Education Development Center Nagasaki University HospitalNagasakiJapan Materials Engineering Group Golpayegan College of EngineeringIsfahan University of TechnologyGolpayegan 87717-67498Iran

The aim of the study was to investigate the effect of different surface treatment of titanium(Ti)on the adhesion test results for dental *** substrates roughened by 400 to 1500-grit SiC polish papers and alumina blasting,alkali treated by 5 molar(M)NaOH and KOH solutions and heat treated at the temperature range of 400-800℃were used in this *** treated samples were subjected to the adhesion *** to the results of the adhesion test,the adhesive strength showed the highest value for the blasted titanium among all polished and blasted *** Ti samples heated at 650℃showed the highest adhesive strength among all heat-treated ***,the adhesion test results indicated the higher adhesive strength of chemically treated samples treated by NaOH rather than that by *** polished and heated Ti samples showed the highest adhesive strength among all samples.

关键词： titanium implant surface treatment bonding strength anatase rutile

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The Catastrophic Effects of African Americans＇ Marginalisation in Ralph Ellison＇s Invisible Man and August Wilson＇s Fences： A Comparative Study

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Sino-US English Teaching 2012年第11期9卷 1702-1710页

作者： Reza Deedari mahdis Faghih Nasiri Shahid Beheshti University Tehran Iran Islamic Azad University (Karaj Branch) Karaj Iran Islamic Azad University (Karaj Branch) Karaj Iran

This paper explores Du Boisian notion of double consciousness and the notion of black nihilism suggested by Cornel West in Ralph Ellison＇s Invisible Man （1952） and August Wilson＇s Fences （1986）. In order to conduct this study, the researcher adopts African American approach and shows that double consciousness and black nihilism are the immediate effects of African Americans＇ marginalisation. According to W. E. B. Du Bois, all African Americans develop the sense of double consciousness which means being both African and American simultaneously. On the other hand, Cornel West believes that black Americans suffer from nihilism which means loss of hope and absence of meaning. The paper is an attempt to compare the novel Invisible Man and the play Fences thematically based on these two theories. It then looks to find the considerable similarities in the conditions of the protagonists of these two literary works. Although both protagonists migrate to the North to escape Southern racism in the era prior to the Civil Rights Movement, they become totally disillusioned, for they are treated as the invisible marginal. Interestingly though, at the end of both stories, there remains a ray of hope for reactivation and the creation of democracy for black Americans.

关键词： marginalisation double consciousness black nihilism buffer African heritage racism

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Emotions States Recognition Based on Physiological Parameters by Employing of Fuzzy-Adaptive Resonance Theory

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International Journal of Intelligence Science 2012年第4期2卷 166-175页

作者： mahdis Monajati Seyed Hamidreza Abbasi Fereidoon Shabaninia Sina Shamekhi Biomedical Eng. Department Electrical Eng. Faculty of Sahand University of Technology Tabriz Iran School of Electrical and Computer Engineering Shiraz University Shiraz Iran

This paper is an investigation on negative emotions states recognition by employing of Fuzzy Adaptive Resonance Theory (Fuzzy-ART) considering the changes in activities of autonomic nervous system (ANS). Specific psychological experiments were designed to induce appropriate physiological responses on individuals in order to acquire a suitable database for training, validating and testing the proposed procedure. In this research, the three physiological applied signals are Galvanic Skin Response (GSR), Heart Rate (HR) and Respiration Rate (RR). The first experiment which is named Shock was designed to determine a criterion for the change of physiological signals of each individual. In the second one, a combination of two sets of questions has been asked from the subjects to induce their emotions. Finally, Physiological responses were analyzed by Fuzzy-ART to recognize which question excites the negative emotions. Detecting negative emotions from neutral is obtained with total accuracy of 94%.

关键词： Physiological Signal Galvanic Skin Response Heart Rate Respiration Rate Fuzzy-ART Emotion Recognition

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