Deep learning models for digital image processing: a review

R Archana, PSE Jeevaraj - Artificial Intelligence Review, 2024 - Springer
Within the domain of image processing, a wide array of methodologies is dedicated to tasks
including denoising, enhancement, segmentation, feature extraction, and classification …

Image-based crack detection approaches: a comprehensive survey

P Gupta, M Dixit - Multimedia Tools and Applications, 2022 - Springer
Automatic crack detection is a challenging task that has been researched for decades due to
the complex civil structures. Cracks on any structure are early signs of the deterioration of …

An experimental analysis of various machine learning algorithms for hand gesture recognition

S Bhushan, M Alshehri, I Keshta, AK Chakraverti… - Electronics, 2022 - mdpi.com
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …

Principal component analysis, hidden Markov model, and artificial neural network inspired techniques to recognize faces

A Aggarwal, M Alshehri, M Kumar… - Concurrency and …, 2021 - Wiley Online Library
Face Recognition is a challenging task for recognizing and detecting the identity of an
individual. Although, plethora of work has already been done in the field of pattern …

Deep learning based approach to classify saline particles in sea water

M Alshehri, M Kumar, A Bhardwaj, S Mishra, J Gyani - Water, 2021 - mdpi.com
Water is an essential resource that facilitates the existence of human life forms. In recent
years, the demand for the consumption of freshwater has substantially increased. Seawater …

A robust technique for biometric image authentication using invisible watermarking

P Garg, A Jain - Multimedia Tools and Applications, 2023 - Springer
In the present digital era, the number of ways to misuse multimedia data increases day by
day. The availability of high image editing tools can change the image so it becomes …

Role of artificial intelligence in agriculture: A comparative study

R Khan, N Dhingra, N Bhati - Transforming Management with AI, Big-Data …, 2022 - Springer
Agriculture is an imperative occupation since the historical backdrop of humanity is kept up.
Artificial intelligence (AI) is leading to a revolution in agricultural practices. This revolution …

Biomechanics analysis of real-time tennis batting images using Internet of Things and deep learning

X Peng, L Tang - The Journal of Supercomputing, 2022 - Springer
This work aims to integrate the Deep Learning (DL) technology with the tennis players'
batting angle selection and provide an intelligent basis for the players' biomechanical …

Fingerprint bio‐key generation based on a deep neural network

Z Wu, Z Lv, J Kang, W Ding… - International Journal of …, 2022 - Wiley Online Library
With the increasing use of biometric identity authentication, biological key generation
technology is receiving much attention. A high‐strength key that is easy to store and manage …

Detecting pine trees damaged by wilt disease using deep learning techniques applied to multi-spectral images

R Zhang, J You, J Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Pine wilt disease (PWD) is responsible for significant damage to East Asia's pine forests,
including those in Korea, Japan, and China. Preventing the spread of wilt disease requires …