Mohammed Abo-Zahhad

TL;DR: A comprehensive review of recent studies carried out in the area of crop pest and disease recognition using image processing and machine learning techniques and reports that recent efforts have focused on the use of deep learning instead of training shallow classifiers using hand-crafted features.

TL;DR: A mobile sink-based adaptive immune energy-efficient clustering protocol (MSIEEP) that improves the lifetime, the stability, and the instability periods over the previous protocols, because it always selects CHs from high-energy nodes.

TL;DR: This paper focuses on reviewing some of the recently hierarchical-based routing protocols that are developed in the last five years for MWSNs and presents a detailed classification of the reviewed protocols according to the routing approach, control manner, mobile element, mobility pattern, network architecture, clustering attributes, protocol operation, path establishment, communication paradigm, energy model, protocol objectives, and applications.

TL;DR: A new algorithm for electrocardiogram (ECG) compression based on the compression of the linearly predicted residuals of the wavelet coefficients of the signal, which reduces the bit rate while keeping the reconstructed signal distortion at a clinically acceptable level.

TL;DR: A Centralized Immune-Voronoi deployment Algorithm (CIVA) to maximize the coverage based on both binary and probabilistic models to improve the lifetime and the coverage of MWSN is proposed.