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Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach
RAS Naseri, A Kurnaz, HM Farhan - Applied Soft Computing, 2023 - Elsevier
The growth of the “Internet of Medical Things (IoMT)” allows for the collection and processing
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
Hybridization of ResNet with YOLO classifier for automated paddy leaf disease recognition: An optimized model
G Ganesan, J Chinnappan - Journal of Field Robotics, 2022 - Wiley Online Library
Paddy is the most significant crop utilized by more than 2.6 billion people. The paddy crops
are affected by various diseases that are unidentified and reduced the production of crop …
are affected by various diseases that are unidentified and reduced the production of crop …
A smart solution for tomato leaf disease classification by modified recurrent neural network with severity computation
A Sreedevi, C Manike - Cybernetics and Systems, 2024 - Taylor & Francis
The artificial intelligence-assisted deep learning approach plays a significant task in
identifying diseases through a large set of plant leaf images. Thus, the major aim of the …
identifying diseases through a large set of plant leaf images. Thus, the major aim of the …
Appraisal of linear baseline-free techniques for guided wave based structural health monitoring
This paper offers a comprehensive critical appraisal and experimental comparison of
leading linear baseline-free techniques applied in guided wave-based structural health …
leading linear baseline-free techniques applied in guided wave-based structural health …
Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India
Abstract Aspect-Based Sentiment Analysis (ABSA) is a popular scheme that looks for the
prediction of the sentiment of positive characteristics in text. The sentiment of text sequences …
prediction of the sentiment of positive characteristics in text. The sentiment of text sequences …
Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN
The early identification of dental caries is necessary for corresponding treatments and the
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …
Gastrointestinal tract disease segmentation and classification in wireless capsule endoscopy using intelligent deep learning model
This work provides a novel segmentation and classification of diseases from the GI tract
using WCE images. First, the input WCE images are collected from the KID Atlas data set …
using WCE images. First, the input WCE images are collected from the KID Atlas data set …
IoT-enabled pest identification and classification with new meta-heuristic-based deep learning framework
The pest and insect affected crop is an important concern to cause damage to the
agricultural sector. While identifying the pest in the crop, the camera placement is not …
agricultural sector. While identifying the pest in the crop, the camera placement is not …
Develo** novel channel estimation and hybrid precoding in millimeter-wave communication system using heuristic-based deep learning
CV Ravikumar - Energy, 2023 - Elsevier
The digital or analog precoders are not carried the optimal energy efficiency in the mm-wave
massive MIMO and so, every antenna is needed with one radio frequency chain in the …
massive MIMO and so, every antenna is needed with one radio frequency chain in the …
[HTML][HTML] Composites in aerospace and mechanical engineering
An important step towards improving performance while reducing weight and maintenance
needs is the integration of composite materials into mechanical and aerospace engineering …
needs is the integration of composite materials into mechanical and aerospace engineering …