A comprehensive survey on aquila optimizer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
A literature review of early-stage diabetic retinopathy detection using deep learning and evolutionary computing techniques
Soft computing approaches are contributing to various areas of real-world problems. These
techniques are being used in optimization problems, feature selection, classification as well …
techniques are being used in optimization problems, feature selection, classification as well …
IR and visible image fusion using DWT and bilateral filter
Image fusion is a process to combine or fuse various images captured from different
sensors, different viewpoints, multi-focused, multi-exposure, etc. The fused image is capable …
sensors, different viewpoints, multi-focused, multi-exposure, etc. The fused image is capable …
A hybrid multimodal data fusion-based method for identifying gambling websites
C Wang, M Zhang, F Shi, P Xue, Y Li - Electronics, 2022 - mdpi.com
With the development of network technology, the number of gambling websites has grown
dramatically, causing a threat to social stability. There are many machine learning-based …
dramatically, causing a threat to social stability. There are many machine learning-based …
Aquila coyote-tuned deep convolutional neural network for the classification of bare skinned images in websites
Pornographic websites become increasingly obdurate via disguising and misleading the
under-aged people, which obstruct the development of a healthy and safe network …
under-aged people, which obstruct the development of a healthy and safe network …
Image‐Based Flow Regime Recognition in Aerated Stirred Tanks Using Deep Transfer Learning
V Khaydarov, MP Becker, L Urbas - Chemie Ingenieur Technik, 2023 - Wiley Online Library
Monitoring of flow regimes in aerated stirred tanks is important to ensure energy efficiency
and product quality. The use of deep learning models for the recognition of flow regimes …
and product quality. The use of deep learning models for the recognition of flow regimes …
Residual Convolutional Neural Network for Lithology Classification: A Case Study of an Iranian Gas Field
SHR Mousavi… - International Journal of …, 2024 - Wiley Online Library
Gas reservoir development and the estimation of rock properties heavily rely on lithology
classification, which can be difficult, time‐consuming, and prone to errors. In this study, a …
classification, which can be difficult, time‐consuming, and prone to errors. In this study, a …
Abusive Language Detection on Social Media using Bidirectional Long-Short Term Memory
A Salehgohari, M Mirhosseini… - 2022 IEEE 26th …, 2022 - ieeexplore.ieee.org
Social media has allowed anybody to share their opinions and engage with the general
public, but it has also become a platform for harsh language, cruel conduct, personal …
public, but it has also become a platform for harsh language, cruel conduct, personal …
Prediction of Diabetes, Cardiac and Parkinson's disease using machine learning and streamlit framework
S Das, G Kumar, R Sharma - Multimedia Tools and Applications, 2024 - Springer
The development of new scientific instruments and the emergence of new technologies
have greatly streamlined, expedited, and eased human life. However, just like a coin has …
have greatly streamlined, expedited, and eased human life. However, just like a coin has …
Pengaruh Reduksi Fitur Pada Klasifikasi Kanker Paru Menggunakan CNN Dengan Arsitektur GoogLeNet
SN Fadilah, DCR Novitasari, L Hakim - Jurnal Fourier, 2023 - fourier.or.id
Kanker paru merupakan jenis kanker dengan penyebab kematian terbanyak. Penelitian ini
bertujuan untuk mengklasifikasikan jenis kanker paru apakah termasuk kedalam kelas lung …
bertujuan untuk mengklasifikasikan jenis kanker paru apakah termasuk kedalam kelas lung …