Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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)
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 …
development of various retinal abrasions in the human retina. These lesions cause …
Facial expression recognition: A review
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 …
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)
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 …
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RETRACTED ARTICLE: Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm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 …
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
Recommendation system using feature extraction and pattern recognition in clinical care systems
Medical information systems have been increasingly facilitating and improving the quality of
health monitoring, disease-trend modelling and early intervention with evidence-based …
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 …
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 …
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 …
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
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 …
fossil energy have been increasing year by year, resulting in more and more obvious …