Water treatment and artificial intelligence techniques: a systematic literature review research

W Ismail, N Niknejad, M Bahari, R Hendradi… - … Science and Pollution …, 2021 - Springer
As clean water can be considered among the essentials of human life, there is always a
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …

Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network

AR Jadhav, PD Pathak, RY Raut - Environmental Monitoring and …, 2023 - Springer
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …

Optimal BIM and LCA integration approach for embodied environmental impact assessment

VWY Tam, Y Zhou, L Shen, KN Le - Journal of Cleaner Production, 2023 - Elsevier
It has been widely acknowledged that applications of building information modeling (BIM)
can facilitate the effectiveness of embodied environmental impact assessment of buildings …

Evaluation of the special warehouse handling equipment (turret trucks) using integrated FUCOM and WASPAS techniques based on intuitionistic fuzzy Dombi …

S Hashemkhani Zolfani, ÖF Görçün… - Arabian Journal for …, 2023 - Springer
Turret trucks used for special warehousing operations have exceptional abilities,
qualifications, and working principles than other warehousing handling equipment. Also, at …

Selection of optimal lithium ion battery recycling process: A multi-criteria group decision making approach

S Chakraborty, AK Saha - Journal of Energy Storage, 2022 - Elsevier
Recycling the essential components of lithium ion batteries (LIBs) has become more
important than ever because these batteries include combustible and hazardous elements …

Application of novel intuitionistic fuzzy BWAHP process for analysing the efficiency of water treatment plant

P Majumder, D Baidya, M Majumder - Neural Computing and Applications, 2021 - Springer
In this investigation, we have put forward a novel multi-criteria decision-making (MCDM)
technique, intuitionistic fuzzy best–worst method (intuitionistic fuzzy BWM). Moreover, we …

Multiple-criteria decision making, feature selection, and deep learning: A golden triangle for heart disease identification

A Najafi, A Nemati, M Ashrafzadeh… - Engineering Applications of …, 2023 - Elsevier
Cardiovascular diseases (CVD) are among the deadliest illnesses that suffer many people
worldwide. Nevertheless, an on-time diagnosis of heart disease can play a significant role in …

Selection of Forklift unit for transport handling using integrated MCDM under neutrosophic environment

S Chakraborty, AK Saha - Facta Universitatis, Series …, 2022 - casopisi.junis.ni.ac.rs
In material handling, warehousing, manufacturing and construction applications, forklifts are
vital equipment, which are used to engage, lift and move palletized items. So, selection of …

Trapezoidal fuzzy BWM-TOPSIS approach and application on water resources

P Majumder, A Paul, P Saha, M Majumder… - Environment …, 2023 - Springer
The world lacks access to clean water for approximately a quarter million people. It is
estimated that only 1% of the Earth's 2.5% water can be used. In developing countries …

Single Valued Neutrosophic Set for Selection of Water Supply in Intelligent Farming

TK Shakir, AN Al Masri - International Journal of Advances in …, 2022 - americaspg.com
One of the most difficult problems in the water business is the oversight and strategic
planning of basin-based water supplies. Governments are concerned with ensuring …