2019
DOI: 10.35940/ijitee.k1328.0981119
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GIS and Auto Desk modeling for Satellite Cities around Bhubaneswar

Abstract: The smart cities concept is modern and shall continue to mitigate the future demand of houses for the burgeoning flocking population from rural to urban. These complexes are prototypes of present smart cities, energy efficient green mansions nearer to large metropolis which is fulfilling prompt accesses to civic usages (like connectivity, Marketing, electricity, water, drainage and water supply) and maintains equilibrium between population, economy, resources, and environment. In contrary metropolis face mammo… Show more

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Cited by 9 publications
(5 citation statements)
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“…The survey has given some specialized direction to smart planning through large scaled maps. Mountains and glaciers shall be visible to the cartographers in the under-ocean fabrics [61][62][63][64][65]. As technology continues to change the world in the 21 st century, land surveying developments are moving into an entirely new realm of near-complete automation, big data preparation, and smart map generation.…”
Section: Discussionmentioning
confidence: 99%
“…The survey has given some specialized direction to smart planning through large scaled maps. Mountains and glaciers shall be visible to the cartographers in the under-ocean fabrics [61][62][63][64][65]. As technology continues to change the world in the 21 st century, land surveying developments are moving into an entirely new realm of near-complete automation, big data preparation, and smart map generation.…”
Section: Discussionmentioning
confidence: 99%
“…The framework of the rehabilitation planning and design has been made based on the works of various authors, [20], and [21].…”
Section: Rehabilitationmentioning
confidence: 99%
“…Siddique et.al [25,26,29]have analyzed stock market index using machine learnig algorithms. Mishra et.al [27,32,33,[37][38][39] have studied auto desk modeling for satellite cities, Labour issues and urban flooding using evolutional computations. Mohapatra et.al [30] have done intensive study in automated invasive cervical cancer disease detection using deep learning techniques.…”
Section: Introductionmentioning
confidence: 99%