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 …

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 …

Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India

K Ananthajothi, K Karthikayani, R Prabha - Data & Knowledge Engineering, 2022 - Elsevier
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 …

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 …

Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN

AR Kumari, SN Rao, PR Reddy - Biomedical Signal Processing and Control, 2022 - Elsevier
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 …

Developing 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 …

Comparative analysis of new meta-heuristic-variants for privacy preservation in wireless mobile adhoc networks for IoT applications

P Satyanarayana, G Diwakar, BV Subbayamma… - Computer …, 2023 - Elsevier
Abstract “Mobile Ad Hoc Network (MANET)” is a self-configurable, self-repairing, self-
maintaining, highly mobile, decentralized, and independent wireless network, which has the …

IoMT-based smart healthcare monitoring system using adaptive wavelet entropy deep feature fusion and improved RNN

MDM Akhtar, RSA Shatat, ASA Shatat… - Multimedia Tools and …, 2023 - Springer
With the help of pervasive computing, human living has changed into a smarter way using
the developments in IoMT, telecommunication technologies, and wearable sensors for …

Research perspective and review towards brain tumour segmentation and classification using different image modalities

M Popat, S Patel - Computer methods in biomechanics and …, 2023 - Taylor & Francis
Previously, the brain tumour segmentation is carried out as the manual process for detecting
the brain tumour from the huge quantity of Medical Resonance Images (MRI) that is obtained …

Concatenated deep features with modified LSTM for enhanced crop disease classification

NA Farooqui, AK Mishra, R Mehra - International Journal of Intelligent …, 2023 - Springer
In the agriculture industry, which is the backbone of our country, attaining healthy crops is a
critical task. Unidentified crop diseases can cause significant losses in the agriculture sector …