Mamoon Rashid

TL;DR: A real-time monitoring hybrid deep learning-based model to detect and predict Type 2 diabetes mellitus using the publicly available PIMA Indian diabetes database and it is demonstrated that CNN-Bi-LSTM surpasses the other deep learning methods in terms of accuracy, sensitivity, and specificity.

TL;DR: The study reveals that the CNN-based method for identifying tonal speech sentences and adding instrumental knowledge performs better than the existing and conventional approaches.

TL;DR: This research used the deep learning YOLOv3 algorithm and trained it on a custom dataset of vehicles that included different vehicle classes as per the Indian Government’s recommendation to implement the automatic vehicle identification and classification for use in the toll management system deployed at toll plazas.

TL;DR: In this article , the slime mould algorithm (SMA) was used to solve the load dispatch problem in an electric power system, and the effectiveness of SMA was investigated for single area economic load dispatch on large-, medium-, and small-scale power systems.

TL;DR: The article explores techniques from prominent research pools with an inclination towards taste modulation and proposes feasible extensions to the already established technological architecture for taste stimulation and modulation, namely, from the Internet of Things, artificial intelligence, and machine learning.