M. Sabbir Rahman

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The purpose of this paper is to find out the determinants that are significantly influencing telecom customer's perception in Bangladesh. The study surveyed 450 telecom customers in Bangladesh from Dhaka city to determine the key influential factors that significantly influence on their perception. The data analyses were conducted by exploratory factor(More)
E-commerce has tremendous potential for creating business opportunities, tourism as information intensive industry can gain important synergies from the use of e-commerce. Small and medium sized tourism enterprises should take advantage of the e-commerce and refocus their business strategies to maintain their competitiveness in order to avoid being(More)
Energy efficiency for smart home applications is proposed using urban sensing data with machine learning techniques. We exploit Internet of Things (IoTs) enabled environmental and energy panel sensor data, smart home sensing data and opportunistic crowd-sourced data for energy efficient applications in a smart urban home. We present some applications where(More)
We propose context sensing as features for improved accuracy in classifications in our ongoing research. In many applications, features extracted from purposed sensors may not be enough for classification tasks accurately. Context features can help to discriminate classes in such cases. To address the problem, we first present how context can be used as(More)
In recent time climate change and its impact on human health and awareness constitute a set of complex and serious consequences to be tackled by an individual country. Climate change is not merely an environmental issue, but also it is a threat that goes beyond national borders. The purpose of this study is to identify the awareness and the impact of(More)
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