Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm

P Narmatha, S Gupta, TRV Lakshmi… - … Signal Processing and …, 2023 - Elsevier
Melanoma skin cancer poses significant challenges in terms of early detection and accurate
diagnosis. It often goes unnoticed in its early stages, leading to advanced diagnoses with …

An integration of keyless encryption, steganography, and artificial intelligence for the secure transmission of stego images

D Pandey, VK Nassa, A Jhamb, D Mahto… - … approach to modern …, 2021 - igi-global.com
Protected stored data as well as transfer in this virtual environment have been a significant
thing since this world wide web has been used for information exchange. The need for data …

Secure text extraction from complex degraded images by applying steganography and deep learning

BK Pandey, D Mane, VKK Nassa, D Pandey… - … approach to modern …, 2021 - igi-global.com
This work's primary goal is to secure the transmission of text hidden within the cover image
using steganography over a public network of computers. Steganography is a powerful tool …

A hybrid deep learning approach for skin cancer diagnosis using subband fusion of 3D wavelets

SP Maniraj, PS Maran - The Journal of Supercomputing, 2022 - Springer
An automated system for skin cancer diagnosis is needed for early diagnosis to reduce the
mortality rate of skin cancer. Noninvasive clinical routines are essential for diagnosis, but …

A comparative study of state-of-the-art skin image segmentation techniques with CNN

G Nasreen, K Haneef, M Tamoor, A Irshad - Multimedia Tools and …, 2023 - Springer
Skin cancer is caused by genetic uncertainty or an irregular growth of cells, mostly grows
when our skin is exposed to sun. In people, melanoma is a common type of cancer …

Automated sentimental analysis using heuristic-based CNN-BiLSTM for E-commerce dataset

N Ramshankar, JP PM - Data & Knowledge Engineering, 2023 - Elsevier
The sentimental analysis is processed according to structural detection, extraction,
quantification, and evaluation of impacts and information present in natural language …

[HTML][HTML] Computer-Aided diagnosis for early signs of skin diseases using multi types feature fusion based on a hybrid deep learning model

SN Almuayqil, S Abd El-Ghany, M Elmogy - Electronics, 2022 - mdpi.com
According to medical reports and statistics, skin diseases have millions of victims worldwide.
These diseases might affect the health and life of patients and increase the costs of …

Role of machine learning in improving tourism and education sector

ML Bangare, PM Bangare, E Ramirez-Asis… - Materials Today …, 2022 - Elsevier
Tourism is viewed as a major economy booster. Although tourism has a beneficial influence
on the economy in terms of national income generation, job creation, tax revenue generation …

Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food

RC Sreevidya, G Jalaja, N Sajitha… - Journal of Food …, 2022 - search.proquest.com
Skin cancer is one of the most common types of cancer that has a high mortality rate.
Majorly, two types of skin cancer are the most common, which are melanoma and …

Literature review and research direction towards channel estimation and hybrid pre-coding in mmWave massive MIMO communication systems

GN Reddy, CV Ravikumar, A Rajesh - Journal of Reliable Intelligent …, 2023 - Springer
Owing to the higher frequency, bigger network capacity, and reduced latency, fifth
generation mobile communication (5G) has garnered a lot of interest with the rapid …