A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential DOI Creative Commons
Viet‐Ha Nhu, Duong Cao Phan,

Pham Viet Hoa

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 26344 - 26363

Опубликована: Янв. 1, 2024

Groundwater spring plays a crucial role in human life, including water resource management and planning; therefore, developing accurate prediction models for groundwater potential mapping is essential. The objective of this research to introduce confirm new modeling approach based on TensorFlow Deep Neural Networks (TF-DNN) multisource geospatial data spatial potential, with case study the tropical province central highland Vietnam. For task, TF-DNN model structure three hidden layers 32 neurons each was established; therein, Adaptive Moment Estimation (ADAM) algorithm used as an optimizer, whereas Rectified Linear Unit (ReLU) activation function, sigmoid transfer function. A database area, consisting 733 locations 12 influencing factors, prepared ArcGIS Pro. Then, it develop verify model. Decision Tree, Support Vector Machine, Logistic Regression, Random Forest, Classification Regression Trees were benchmark comparison. results demonstrate that proposed (Accuracy = 80.5%, F-score 0.797, AUC 0.864) achieves high global performance, outperforming models. Thus, represents novel effective tool spatially predicting mapping. map generated has assist provincial authorities formulating strategies concerning socio-economic development.

Язык: Английский

Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation DOI
Lan Vu, Kelvin Tsun Wai Ng, Amy Richter

и другие.

Journal of Environmental Management, Год журнала: 2022, Номер 311, С. 114869 - 114869

Опубликована: Март 11, 2022

Язык: Английский

Процитировано

131

Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India DOI

Dipankar Ruidas,

Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam

и другие.

Exposure and Health, Год журнала: 2022, Номер 15(1), С. 113 - 131

Опубликована: Апрель 23, 2022

Язык: Английский

Процитировано

87

Hydro-chemical assessment of fluoride and nitrate in groundwater from east and west coasts of Bangladesh and India DOI

Jannatun Nahar Jannat,

Md Sanjid Islam Khan, H. M. Touhidul Islam

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 372, С. 133675 - 133675

Опубликована: Авг. 24, 2022

Язык: Английский

Процитировано

87

Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India DOI
Subodh Chandra Pal,

Dipankar Ruidas,

Asish Saha

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 346, С. 131205 - 131205

Опубликована: Март 4, 2022

Язык: Английский

Процитировано

79

Water Quality Management in Aquaculture DOI Creative Commons
Fatimah Md. Yusoff, Wahidah Ahmad Dini Umi, Norulhuda Mohamed Ramli

и другие.

Cambridge Prisms Water, Год журнала: 2024, Номер 2

Опубликована: Янв. 1, 2024

Abstract The aquaculture industry requires good water quality for its successful operation but produces wastes that can cause environmental deterioration and pose high risks to the sector. Adequate waste treatment recycling are necessary make a sustainable profitable contribute circular economy. Polluted sources, excess feeding, overstocking, use of antibiotics/chemicals harmful algal blooms major causes low production in systems. Discharges untreated would have serious impacts on receiving bodies, eventually itself. Possible solutions include technological innovations environmentally friendly systems, efficient processes management improved legislation governance. Environmentally feasible technologies such as system, integrated multi-trophic aquaponics including features viable options schemes. Best practices integrating advanced technologies, supported by automation sensors, modeling artificial intelligence-internet things environment, stable value chain. In general, low-cost impact reduction through governance crucial achieving sustainability natural management.

Язык: Английский

Процитировано

70

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production DOI
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee

и другие.

Fuel, Год журнала: 2023, Номер 347, С. 128467 - 128467

Опубликована: Апрель 23, 2023

Язык: Английский

Процитировано

49

Characterization of groundwater potential zones in water-scarce hardrock regions using data driven model DOI

Dipankar Ruidas,

Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam

и другие.

Environmental Earth Sciences, Год журнала: 2021, Номер 80(24)

Опубликована: Ноя. 27, 2021

Язык: Английский

Процитировано

88

Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India DOI

Asit Kumar Jaydhar,

Subodh Chandra Pal, Asish Saha

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 369, С. 133150 - 133150

Опубликована: Июль 31, 2022

Язык: Английский

Процитировано

63

Hydrogeochemical characterization based water resources vulnerability assessment in India's first Ramsar site of Chilka lake DOI

Dipankar Ruidas,

Subodh Chandra Pal, Asish Saha

и другие.

Marine Pollution Bulletin, Год журнала: 2022, Номер 184, С. 114107 - 114107

Опубликована: Сен. 11, 2022

Язык: Английский

Процитировано

48

Random forest and nature-inspired algorithms for mapping groundwater nitrate concentration in a coastal multi-layer aquifer system DOI
Quoc Bao Pham, Dang An Tran, Nam Thang Ha

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 343, С. 130900 - 130900

Опубликована: Фев. 12, 2022

Язык: Английский

Процитировано

44