2016
DOI: 10.1002/j.1681-4835.2016.tb00539.x
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Current Landscape and Potential of Mobile Computing Research in the Least Developed Countries

Abstract: Despite the huge potentialities, the actual growth of information and communications technology (ICT) in the least developed countries (LDCs) is still hindered by a number of factors beyond the infrastructural constraints. However, over the last decade, mobile computing has emerged as an important means to bridge the longstanding digital divide between LDCs and first world countries by accelerating the diffusion of various services (government, business, health, education and environment) through mobile device… Show more

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Cited by 14 publications
(4 citation statements)
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“…The proliferation of mobile technology as the most accessible technology, with considerable benefits for most low-income countries and households, is undeniable. Additionally, access to information, long-distance communication, and mobile financial applications (like m-Pesa in Tanzania and BKash in Bangladesh) were game-changers (Imran et al, 2016). Even some cutting-edge technologies, despite the apprehension about their role in accelerating DI (e.g., Heeks, 2021), provide some optimism for more potent and innovative technology applications across many developing countries to benefit the country and its citizens.…”
Section: Inclusive Technology Solutions and Servicesmentioning
confidence: 99%
“…The proliferation of mobile technology as the most accessible technology, with considerable benefits for most low-income countries and households, is undeniable. Additionally, access to information, long-distance communication, and mobile financial applications (like m-Pesa in Tanzania and BKash in Bangladesh) were game-changers (Imran et al, 2016). Even some cutting-edge technologies, despite the apprehension about their role in accelerating DI (e.g., Heeks, 2021), provide some optimism for more potent and innovative technology applications across many developing countries to benefit the country and its citizens.…”
Section: Inclusive Technology Solutions and Servicesmentioning
confidence: 99%
“…(1) Algorithm of RBF neural network e purpose of RBF network training is to find the final weights A, B, and C of the two layers. e training process is divided into two steps: the first step is unsupervised learning where the training determines the weights A and B between the input layer and the hidden layer, and the second step is supervised learning where the training determines the difference between the hidden layer and the output layer weight C. Before training, provide the input vector X, the corresponding target output vector Y, and the width vector B of the radial basis function [7,8]. Given the values of η and the value of the iteration termination accuracy s, where n is the number of input layer units, q is the number of output layer units, and p is the hidden layer unit number (1) Determine the input vector X:…”
Section: Basic Principles Of Rbf Neural Networkmentioning
confidence: 99%
“…The fishermen's fishing habits are as follows: initially, each fisherman randomly chooses a location to fish; the fisherman always randomly casts a fishing net around his location to try to understand the density of the fish around him and move within the maximum radius of the net, each time moving to a place with greater fish density than its current location; the fisherman always reports the fish density of his location to other teammates in a timely manner; when there is no better within the radius of the net, when the fisherman shrinks the net radius in order to accurately obtain the point with a higher density of fish nearby, and when the fisherman cannot find a better density point in the area of his maximum casting net radius, he will leave the current casting area and look for other casting points [13].…”
Section: Wireless Communications and Mobile Computingmentioning
confidence: 99%