Hybrid mutation moth flame optimization with deep learning-based smart fabric defect detection
…, AA Abdelmageed, S Abdelbagi, S Drar - Computers and …, 2023 - Elsevier
The occurrence of faults in textile manufacturing methods results in major wastage of the
properties. Additionally, it also affects the quality of the fabric products. Manual inspection …
properties. Additionally, it also affects the quality of the fabric products. Manual inspection …
Waste classification using vision transformer based on multilayer hybrid convolution neural network
…, MK Nour, M Rizwanullah, AE Osman, S Drar… - Urban Climate, 2023 - Elsevier
The rapid advancement of deep learning technology has led to the presentation of various
network architectures for classification, making it easier to implement intelligent waste …
network architectures for classification, making it easier to implement intelligent waste …
Sustainable groundwater management using stacked LSTM with deep neural network
Groundwater is a vital water resource and plays a major role in human life, production,
irrigation, and development of the country based on economically. Due to irregular rainfall and …
irrigation, and development of the country based on economically. Due to irregular rainfall and …
Leveraging Metaheuristic Unequal Clustering for Hotspot Elimination in Energy-Aware Wireless Sensor Networks
Wireless sensor networks (WSNs) are becoming a significant technology for ubiquitous living
and continue to be involved in active research because of their varied applications. Energy …
and continue to be involved in active research because of their varied applications. Energy …
Modified salp swarm algorithm with deep learning based gastrointestinal tract disease classification on endoscopic images
Nowadays, the analysis of gastrointestinal (GI) tract disease utilzing endoscopic image
classification becomes an active research activity from the biomedical sector. The latest …
classification becomes an active research activity from the biomedical sector. The latest …
Sine-cosine-adopted African vultures optimization with ensemble autoencoder-based intrusion detection for cybersecurity in CPS environment
A Cyber-Physical System (CPS) is a network of cyber and physical elements that interact
with each other. In recent years, there has been a drastic increase in the utilization of CPSs, …
with each other. In recent years, there has been a drastic increase in the utilization of CPSs, …
Chaotic Jaya optimization algorithm with computer vision-based soil type classification for smart farming
…, AA Abdelmageed, S Abdelbagi, S Drar - IEEE …, 2023 - ieeexplore.ieee.org
Smart farming helps to increase yield by smartly deciding the steps that should be practised
in the season. A few components of precision farming are recommending the crops for …
in the season. A few components of precision farming are recommending the crops for …
Binary chimp optimization algorithm with ML based intrusion detection for secure IoT-assisted wireless sensor networks
An Internet of Things (IoT)-assisted Wireless Sensor Network (WSNs) is a system where
WSN nodes and IoT devices together work to share, collect, and process data. This …
WSN nodes and IoT devices together work to share, collect, and process data. This …
Intracranial Haemorrhage Diagnosis Using Willow Catkin Optimization With Voting Ensemble Deep Learning on CT Brain Imaging
Intracranial haemorrhage (ICH) has become a critical healthcare emergency that needs
accurate assessment and earlier diagnosis. Due to the high rates of mortality (about 40%), the …
accurate assessment and earlier diagnosis. Due to the high rates of mortality (about 40%), the …
Assisting visually impaired people using deep learning-based anomaly detection in pedestrian walkways for intelligent transportation systems on remote sensing …
…, FN Al-Wesabi, A Motwakel, S Drar - Journal of Disability …, 2023 - scienceopen.com
Anomaly detection in pedestrian walkways of visually impaired people (VIP) is a vital research
area that utilizes remote sensing and aids to optimize pedestrian traffic and improve flow. …
area that utilizes remote sensing and aids to optimize pedestrian traffic and improve flow. …