Faheem Akhtar

TL;DR: A robust artificial neural network-based multilayer perceptron (MLP) scheme integrated with the dynamic feature extractor has the potentials to be applied for XSS-based attack detection in either the client-side or the server-side.

TL;DR: This research explores various well-known databases using ”Breast Cancer” keyword to present a comprehensive survey on existing diagnostic schemes to open-up new research challenges for radiologists and researchers to intervene as early as possible to develop an efficient and reliable breast cancer prognosis system using prominent deep learning schemes.

TL;DR: All of the classifiers performed best with thirty ranked features subset, which validates the applied method to recognize the most deterministic risk factors associated with large for gestational age prediction.

TL;DR: This research presents an intelligent fault detection, energy-efficient, quality-of-service routing technique based on reinforcement learning to find the optimum route with the least amount of end-to-end latency.

TL;DR: A new economical model based on Wireless Switch-yard System is used for integrating RES and three different scenarios are considered, i.e., with RES, without RES and with both, RES and main grid supply for proper energy management and control strategy.