Human face detection techniques: A comprehensive review and future research directions

MK Hasan, MS Ahsan, SHS Newaz, GM Lee - Electronics, 2021 - mdpi.com
Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

Classification and analysis of epileptic EEG recordings using convolutional neural network and class activation mapping

A Yildiz, H Zan, S Said - Biomedical signal processing and control, 2021 - Elsevier
Electrical bio-signals have the potential to be used in different applications due to their
hidden nature and their ability to facilitate liveness detection. This paper investigates the …

A spatiotemporal-oriented deep ensemble learning model to defend link flooding attacks in IoT network

YH Chen, YC Lai, PT Jan, TY Tsai - Sensors, 2021 - mdpi.com
(1) Background: Link flooding attacks (LFA) are a spatiotemporal attack pattern of distributed
denial-of-service (DDoS) that arranges bots to send low-speed traffic to backbone links and …

Systems Engineering Approach to Design of Process Gas Chromatographs for the Philippine Industries

SA Magon, TD De Sagun… - 2023 11th International …, 2023 - ieeexplore.ieee.org
The global energy demand is continuously rising as the result of growing industrial activities
across the world. While the world transitions to greener alternatives to meet the increasing …

Reintegration of Chromatogram to Enhance the Accuracy in Gas Chromatography

MM Patil, T Joshi, K Ghodinde… - 2020 International …, 2020 - ieeexplore.ieee.org
Gas chromatography plays a vital role in ensuring the safe running and efficiency of a
multitude of chemical production steps mainly in the oil and gas industry, gas processing …

Evaluation method of switchgear state based on adaptive DBSCAN algorithm

Y Li, J Hu, J Lai, W Wang, F Yang… - 2020 5th Asia …, 2020 - ieeexplore.ieee.org
In order to better identify the outlier in the detection data and reasonably evaluate the state
of the switchgear, we propose a method for evaluating the state of switchgear based on the …

Machine learning based wearable multi-channel electromyography: application to bionics and biometrics

SM Said - 2020 - theses.hal.science
Over the last few decades, wearable technologies have been extensively used in
bioengineering applications. In this thesis, a Multi-channel sEMG wearable armband has …

[PDF][PDF] Abdullah-Al-Mamun; Newaz, SHS; Lee, GM Human Face Detection Techniques: A Comprehensive Review and Future Research Directions. Electronics 2021 …

MK Hasan, MS Ahsan - 2021 - academia.edu
Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

[PDF][PDF] Human Face Detection Techniques: A Comprehensive Review and Future Research Directions

GM Lee - 2021 - researchonline.ljmu.ac.uk
Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …