-
Article
Privacy-Preserving Federated Learning System (f-PPLS) for military focused area classification
Accurate classification of military-focused areas using machine learning techniques is crucial for meeting military criteria. However, preserving high data privacy in aerial image classification poses signific...
-
Chapter and Conference Paper
Grapevine Leaf Disease Classification with Deep Learning and Feature Extraction Using IoT
Grapevine diseases may possess a substantial effect on crop yield and quality, but early identification and mitigation can help prevent losses. The manual detection and diagnosis of vineyard diseases can be ti...
-
Chapter and Conference Paper
A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images
Retinal disorders, including diabetic retinopathy and macular degeneration due to aging, can lead to preventable blindness in diabetics. Vision loss caused by diseases that affect the retinal fundus cannot be ...
-
Chapter and Conference Paper
A Comprehensive Review on Small Satellites: Services and Applications
Paradigm shift of large satellite to small satellite can be seen in last few decades due to highly increase in applications of small satellites. Due to the revolutionary growth in the technology and availabili...
-
Chapter and Conference Paper
Role of Satellite Communication in the Current Era
Internet is one of the great inventions for human kind. Everyone wants to be connected every time in this era. Real-time news or information is required for the growth of different sectors. Military, governmen...
-
Article
Priority based data gathering using multiple mobile sinks in cluster based UWSNs for oil pipeline leakage detection
Energy efficient and completely reliable data gathering in resource constrained sparse Underwater Wireless Sensor Networks (UWSNs) is challenging and requires dedicated routing techniques. Routing having mobil...
-
Article
CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks
Many countries around the world have been influenced by Covid-19 which is a serious virus as it gets transmitted by human communication. Although, its syndrome is quite similar to the ordinary flu. The critica...
