Dual color images watermarking scheme with geometric correction based on quaternion FrOOFMMs and LS-SVR

LH Gong, HX Luo - Optics & Laser Technology, 2023 - Elsevier
To better describe the features of a color image, the quaternion fractional-order orthogonal
Fourier-Mellin moments (QFrOOFMMs) are defined. By combining QFrOOFMMs with least …

Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC)

D Das, SK Biswas, S Bandyopadhyay - Multimedia tools and applications, 2023 - Springer
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes
development of various retinal abrasions in the human retina. These lesions cause …

Facial expression recognition: A review

X Guo, Y Zhang, S Lu, Z Lu - Multimedia Tools and Applications, 2024 - Springer
Facial expression recognition has become a hot issue in the field of artificial intelligence. So,
we collect literature on facial expression recognition. First, methods based on machine …

Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT)

HB Mahajan, N Uke, P Pise, M Shahade… - Multimedia Tools and …, 2023 - Springer
To minimize any impediments in real-time Internet of Things (IoT)-enabled robotics
applications, this study demonstrated how to build and deploy a revolutionary framework …

RETRACTED ARTICLE: Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm

AMQ Farhan, S Yang - Multimedia Tools and applications, 2023 - Springer
The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …

Recommendation system using feature extraction and pattern recognition in clinical care systems

UA Bhatti, M Huang, D Wu, Y Zhang… - Enterprise information …, 2019 - Taylor & Francis
Medical information systems have been increasingly facilitating and improving the quality of
health monitoring, disease-trend modelling and early intervention with evidence-based …

[HTML][HTML] Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach

L Zhou, C Zhao, N Liu, X Yao, Z Cheng - Engineering applications of …, 2023 - Elsevier
Individuals in any country are badly impacted both economically and physically whenever
an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible …

Filter feature selection methods for text classification: a review

H Ming, W Heyong - Multimedia Tools and Applications, 2024 - Springer
Filter feature selection methods are utilized to select discriminative terms from high-
dimensional text data to improve text classification performance and reduce computational …

An interpretable approach using hybrid graph networks and explainable AI for intelligent diagnosis recommendations in chronic disease care

M Huang, XS Zhang, UA Bhatti, YY Wu, Y Zhang… - … Signal Processing and …, 2024 - Elsevier
With the rapid advancement of modern medical technology and the increasing demand for a
higher quality of life there is an emergent requirement for personalized healthcare services …

The Nexus Between CO2 Emission, Economic Growth, Trade Openness: Evidences From Middle-Income Trap Countries

LPC Galvan, UA Bhatti, CC Campo… - Frontiers in …, 2022 - frontiersin.org
In recent years, the carbon dioxide emissions generated by the massive consumption of
fossil energy have been increasing year by year, resulting in more and more obvious …