Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems

Z Amiri, A Heidari, NJ Navimipour, M Unal… - Multimedia Tools and …, 2024 - Springer
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

Intelligent bridge management via big data knowledge engineering

J Yang, F Xiang, R Li, L Zhang, X Yang, S Jiang… - Automation in …, 2022 - Elsevier
Fully combining the emerging intelligent technologies, such as big data and artificial
intelligence, to realize the effective data fusion of bridge management with multi-source …

A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

TR Gadekallu, DS Rajput, MPK Reddy… - Journal of Real-Time …, 2021 - Springer
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …

A multidirectional LSTM model for predicting the stability of a smart grid

M Alazab, S Khan, SSR Krishnan, QV Pham… - Ieee …, 2020 - ieeexplore.ieee.org
The grid denotes the electric grid which consists of communication lines, control stations,
transformers, and distributors that aids in supplying power from the electrical plant to the …

Detecting both machine and human created fake face images in the wild

S Tariq, S Lee, H Kim, Y Shin, SS Woo - Proceedings of the 2nd …, 2018 - dl.acm.org
Due to the significant advancements in image processing and machine learning algorithms,
it is much easier to create, edit, and produce high quality images. However, attackers can …

Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

S Bhattacharya, PKR Maddikunta, S Hakak… - Multimedia Tools and …, 2020 - Springer
Stroke is enlisted as one of the leading causes of death and serious disability affecting
millions of human lives across the world with high possibilities of becoming an epidemic in …

Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet

S Lee, S Tariq, Y Shin, SS Woo - Applied soft computing, 2021 - Elsevier
The rapid progress of sophisticated image editing tools has made it easier to manipulate
original face images and create fake media content by putting one's face to another. In …

Detecting and mitigating the dissemination of fake news: Challenges and future research opportunities

W Shahid, B Jamshidi, S Hakak, H Isah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Fake news is a major threat to democracy (eg, influencing public opinion), and its impact
cannot be understated particularly in our current socially and digitally connected society …

Exact string matching algorithms: survey, issues, and future research directions

SI Hakak, A Kamsin, P Shivakumara, GA Gilkar… - IEEE …, 2019 - ieeexplore.ieee.org
String matching has been an extensively studied research domain in the past two decades
due to its various applications in the fields of text, image, signal, and speech processing. As …

Optimized levy flight model for heart disease prediction using CNN framework in big data application

A Jain, ACS Rao, PK Jain, YC Hu - Expert Systems with Applications, 2023 - Elsevier
Cardiac disease is one of the most complex diseases globally. It affects the lives of humans
critically. It is essential for accurate and timely diagnosis to treat heart failure and prevent the …