An advanced deep learning models-based plant disease detection: A review of recent research
Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …
plant diseases which results in significant production losses. However, manual detection of …
[PDF][PDF] Intrusion detection systems in internet of things and mobile Ad-Hoc networks.
Internet of Things (IoT) devices work mainly in wireless mediums; requiring different
Intrusion Detection System (IDS) kind of solutions to leverage 802.11 header information for …
Intrusion Detection System (IDS) kind of solutions to leverage 802.11 header information for …
Task partitioning and offloading in DNN-task enabled mobile edge computing networks
M Gao, R Shen, L Shi, W Qi, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity
due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN …
due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN …
[HTML][HTML] Tutorial on memristor-based computing for smart edge applications
Smart computing on edge-devices has demonstrated huge potential for various application
sectors such as personalized healthcare and smart robotics. These devices aim at bringing …
sectors such as personalized healthcare and smart robotics. These devices aim at bringing …
An efficient face mask detector with pytorch and deep learning
CZ Basha, BNL Pravallika… - … on Pervasive Health and …, 2021 - publications.eai.eu
INTRODUCTION: The outbreak ofacoronavirus disease in 2019 (COVID-19) has created a
global health epidemic that has had a major effect on the way we view our environment and …
global health epidemic that has had a major effect on the way we view our environment and …
Application of ontologies and meta-models for dynamic integration of weakly structured data
The possibilities of using ontologies and meta-models to create a system of dynamic
integration of weakly structured data are considered. The process of transformation of …
integration of weakly structured data are considered. The process of transformation of …
Deep learning entrusted to fog nodes (DLEFN) based smart agriculture
Colossal amounts of unstructured multimedia data are generated in the modern Internet of
Things (IoT) environment. Nowadays, deep learning (DL) techniques are utilized to extract …
Things (IoT) environment. Nowadays, deep learning (DL) techniques are utilized to extract …
A novel feature extraction method an electronic nose for aroma classification
In this paper, we describe an electronic nose (e-Nose) capable of classifying the aroma of
alcoholic beverages. The novelty of this research is using signal processing for initial feature …
alcoholic beverages. The novelty of this research is using signal processing for initial feature …
Dealing with non-idealities in memristor based computation-in-memory designs
Computation-In-Memory (CIM) using memristor devices provides an energy-efficient
hardware implementation of arithmetic and logic operations for numerous applications, such …
hardware implementation of arithmetic and logic operations for numerous applications, such …
Deep learning methods for virus identification from digital images
L Zhang, WQ Yan - … 35th International Conference on Image and …, 2020 - ieeexplore.ieee.org
The use of deep learning methods for virus identification from digital images is a timely
research topic. Given an electron microscopy image, virus recognition utilizing deep …
research topic. Given an electron microscopy image, virus recognition utilizing deep …