Journal Article10.1016/j.scs.2023.104717
An integrated GIS, MIF, and TOPSIS approach for appraising electric vehicle charging station suitability zones in Mumbai, India
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TL;DR: In this paper , the authors proposed a methodology for EVCS problems with a high level of uncertainty and assists policymakers and administrators in making effective decisions for future planning and strategies, which can offer a more precise solution for EVs problems.
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About: This article is published in Sustainable Cities and Society. The article was published on 01 Oct 2023. The article focuses on the topics: TOPSIS.
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Citations
Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience
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TL;DR: This study examines the integration of AI, IoT, and Big Data to enhance customer loyalty through improved satisfaction, engagement, relationships, and experiences, highlighting their individual contributions and synergistic effects in the rapidly evolving business landscape.
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A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India
Nitin Liladhar Rane,Anand Achari,Saurabh Purushottam Choudhary,Suraj Kumar Mallick,Chaitanya B. Pande,Aman Srivastava,Kanak N. Moharir +6 more
TL;DR: This study integrates GIS, MIF, and TOPSIS to evaluate potential dam sites in the Ulhas River Basin, India, identifying five suitable locations with varying suitability levels and recommending Dam E as the top priority for construction.
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Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning
Nitin Rane,Saurabh Choudhary,Jayesh Rane +2 more
TL;DR: This research explores the integration of Artificial Intelligence (AI) in Education 4.0 and 5.0, focusing on personalized and adaptive learning, and examines the challenges and ethical considerations associated with AI adoption in education, emphasizing responsible integration.
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Integrating Leading-Edge Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies for Smart and Sustainable Architecture, Engineering and Construction (AEC) Industry: Challenges and Future Directions
Nitin Rane
TL;DR: This study explores the integration of AI, IoT, and Big Data in the AEC industry, highlighting challenges and future directions for smart and sustainable architecture, engineering, and construction practices, with a focus on innovation and efficiency.
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Integrating Building Information Modelling (BIM) and Artificial Intelligence (AI) for Smart Construction Schedule, Cost, Quality, and Safety Management: Challenges and Opportunities
Nitin Rane
TL;DR: This study evaluates the integration of Building Information Modelling (BIM) and Artificial Intelligence (AI) for construction management, highlighting challenges in data integration, interoperability, and data security, while emphasizing the potential for improved decision-making and predictive analytics.
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Review: A state-of the-art survey of TOPSIS applications
TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
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Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques
TL;DR: In this paper, various groundwater potential zones for the assessment of groundwater availability in Theni district have been delineated using remote sensing and GIS techniques, which assists in assessing, monitoring, and conserving groundwater resources.
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A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan
TL;DR: Sensitivity analyses indicated that the removal of net recharge, soil media and topography causes large variation in vulnerability index, and net recharge and hydraulic conductivity were found to be more effective in assessing aquifer vulnerability than assumed by the DRASTIC model.
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