Titlebook: Intelligent Computing, Information and Control Systems; ICICCS 2019 A. Pasumpon Pandian,Klimis Ntalianis,Ram Palanisam Conference proceedin

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Early Discovery of Disaster Events from Sensor Data Using Fog Computing, Fog computing, the latency in data upload has been minimized. Also, for prediction purpose we have used data from over 5 years by using a Weather API. Multiple machine learning models were trained on this data, and the best model in terms of computation time has been deployed for evaluation. Our ev

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3D Reconstruction of an Indoor Environment Using SLAM with Modified SURF and A-KAZE Feature Extract cost, ease of use, and higher accessibility with the development of computer vision-based techniques. In this paper, the proposed algorithm is used to extract more features in less time and use random sample consensus (RANSAC) to filter correspondences.

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Conference proceedings 2020ic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically. At the same time, Intelligent Control systems are emerging as an innovative methodo

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Stock Market Trend Prediction in Sub-Saharan Africa Using Generalized Additive Models (GAMs),99.58%, 99.88%, 99.59% and 99.52% for Botswana, Egypt, Kenya, Mauritius, Morocco, Nigeria, South Africa, Tunisia, Zambia and Zimbabwe stock markets respectively. The GAM model outperformed the deep neural models and it can be used for enhancing investment decision making in Africa.