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Mahmood Safaei

Researcher at National University of Malaysia

Publications -  13
Citations -  363

Mahmood Safaei is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Wireless sensor network & Anomaly detection. The author has an hindex of 6, co-authored 10 publications receiving 134 citations. Previous affiliations of Mahmood Safaei include Universiti Teknologi Malaysia & University of Surrey.

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A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity.

TL;DR: In this paper, the authors conducted a systematic literature review to examine obesity research and machine learning techniques for the prevention and treatment of obesity from 2010 to 2020, and identified 93 papers from the review articles as primary studies from an initial pool of over 700 papers addressing obesity.
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An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices

TL;DR: The results obtained from the structural equation modelling showed that the initial trust is considered as the most determinant and influencing factor in the decision of wearable health device adoption followed by health interest, consumer innovativeness, and so on.
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RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification

TL;DR: In this paper, a distributed convolutional-neural-networks (DCNN) based approach for big remote sensing image classification is proposed, which is the first study of its kind, which proposes a novel distributed deep learning-based approach for the classification of big Remote Sensing images.
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Reconfigurable Intelligent Surface (RIS) in the Sub-6 GHz Band: Design, Implementation, and Real-World Demonstration

TL;DR: Practical considerations to design and implement a reconfigurable intelligent surface (RIS) in the sub-6 GHz band are explained and the capability of the RIS in hand to reconfigure itself in order to anomalously reflect the incoming EM waves toward the direction of interest in which a receiver could be experiencing poor coverage is showcased.
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Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing industry

TL;DR: In this paper, the authors developed a model by integrating two theoretical models, Theory of Planned Behavior and Norm Activation Theory, to explore individual factors that influence decision makers in manufacturing sector in Malaysia to adopt Green IT via the mediation of personal norms.