Hybrid optimization enabled trust-based secure routing with deep learning-based attack detection in VANET

G Kaur, D Kakkar - Ad Hoc Networks, 2022 - Elsevier
Vehicular ad-hoc network (VANET) model is easy to arrange and inexpensive answer for
clever traffic control and traffic failure protective measures. Generally, the nodes present in …

Lung anomaly detection from respiratory sound database (sound signals)

JA Dar, KK Srivastava, A Mishra - Computers in Biology and Medicine, 2023 - Elsevier
Chest or upper body auscultation has long been considered a useful part of the physical
examination going back to the time of Hippocrates. However, it did not become a prevalent …

Fractional Aquila spider monkey optimization based deep learning network for classification of brain tumor

G Nirmalapriya, V Agalya, R Regunathan… - … Signal Processing and …, 2023 - Elsevier
The tumor in the brain is a serious disease that causes death in humans. Various imaging
modalities are utilized for identifying tumors, but the huge data produced by magnetic …

E-waste management using hybrid optimization-enabled deep learning in IoT-cloud platform

P Ramya, V Ramya - Advances in Engineering Software, 2023 - Elsevier
Electronic waste (E-waste) is generated at a quick pace due to technological expansion and
thereby reducing the obsolescence age of electrical and electronic equipment (EEE). This …

[HTML][HTML] Non-redundant shift-invariant complex wavelet transform and fractional gorilla troops optimization-based deep convolutional neural network for video …

SD Mali, L Agilandeeswari - Journal of King Saud University-Computer and …, 2023 - Elsevier
With the development of multimedia processing approaches along with the Internet leads to
various issues, like data tampering, data piracy, and illicit dissemination. The quick …

FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications

KS Kumar, N Suganthi, S Muppidi, BS Kumar - Artificial intelligence in …, 2022 - Elsevier
Skin cancer is one of the dangerous types of cancer and the rate of death is increasing due
to the lack of knowledge in prevention and the symptoms. It is a common cancer type around …

DeepJoint segmentation for the classification of severity‐levels of glioma tumour using multimodal MRI images

M Mahesh K, A Renjit J - IET Image Processing, 2020 - Wiley Online Library
Brain tumour segmentation is the process of separating the tumour from normal brain
tissues. A glioma is a kind of tumour, which fires up in the glial cells of the spine or the brain …

Multi-Level severity classification for diabetic retinopathy based on hybrid optimization enabled deep learning

SZ Beevi - Biomedical Signal Processing and Control, 2023 - Elsevier
The disease with the fastest global growth rate, diabetes, has numerous complications.
Diabetic retinopathy (DR), which results in retinal lesions that affect vision, is one of these …

Severity level classification of brain tumor based on MRI images using fractional-chicken swarm optimization algorithm

DR Cristin, DKS Kumar… - The Computer …, 2021 - academic.oup.com
Brain tumor classification is highly effective in identifying and diagnosing the exact location
of the tumor in the brain. The medical imaging system reported that early diagnosis and …

[HTML][HTML] Optimized interesting region identification for video steganography using Fractional Grey Wolf Optimization along with multi-objective cost function

M Suresh, IS Sam - Journal of King Saud University-Computer and …, 2022 - Elsevier
A novel approach is presented in this paper for hiding the data using Fractional Grey Wolf
Optimization. In this work, the key frames are extracted using the Structural Similarity Index …