A review of AI for urban planning: Towards building sustainable smart cities

AK Jha, A Ghimire, S Thapa, AM Jha… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Urban planning, in short, deals with solving the problems of the modern society. The
problems are complementary to the growing population in today's society. The problems in …

Efficient image geotagging using large databases

D Kit, Y Kong, Y Fu - IEEE Transactions on Big Data, 2016 - ieeexplore.ieee.org
There are now billions of images stored on photo sharing websites. These images contain
visual cues that reflect the geographical location of where the photograph was taken (eg …

Deep Geo-Constrained Auto-Encoder for Non-Landmark GPS Estimation

S Jiang, Y Kong, Y Fu - IEEE Transactions on Big Data, 2017 - ieeexplore.ieee.org
This paper addresses the problem of geotagging images, ie, assigning GPS coordinates (ie,
latitude, longitude) to images using image contents. Due to the huge appearance variability …

Unsupervised Methods for a Personalised Route Recommendation System

J Fajtl, L Vitali, V Argyriou, D Monekosso… - … Networks and Digital …, 2020 - ieeexplore.ieee.org
There are many vehicle navigation systems in existence. They provide directions following
routes based on speed, traffic, major or minor roads and places of interest. Although …

No Neuron Left Behind: A genetic approach to higher precision topological mapping of self-organizing maps

C Gorman, C Rogers, I Valova - Open Computer Science, 2015 - degruyter.com
Self-organizing maps are extremely useful in the field of pattern recognition. They become
less useful, however, when neurons fail to activate during training. This phenomenon occurs …

A Self-Organizing Map Based Approach to Adaptive System Formation

D Lu, Y Jin - Design Computing and Cognition'16, 2017 - Springer
Multi-agent systems are considered to be potential solutions to complex tasks. Cellular self-
organizing (CSO) multi-agent systems have been proposed that take a field-based approach …