Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture
Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …
Intelligent techniques in e-learning: a literature review
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …
imposed isolation measures and closed schools and campuses. Consequently, teachers …
Evolutionary computing for the radiative–convective heat transfer of a wetted wavy fin using a genetic algorithm-based neural network
BS Poornima, IE Sarris, K Chandan, KV Nagaraja… - Biomimetics, 2023 - mdpi.com
Evolutionary algorithms are a large class of optimization techniques inspired by the ideas of
natural selection, and can be employed to address challenging problems. These algorithms …
natural selection, and can be employed to address challenging problems. These algorithms …
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
B Gülmez - Annals of Operations Research, 2023 - Springer
The coronavirus first appeared in China in 2019, and the World Health Organization (WHO)
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
Breast cancer diagnosis using the fast learning network algorithm
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
Deep neural networks ensemble to detect COVID-19 from CT scans
Abstract Research on Coronavirus Disease 2019 (COVID-19) detection methods has
increased in the last months as more accurate automated toolkits are required. Recent …
increased in the last months as more accurate automated toolkits are required. Recent …
Modeling and Optimization of Ultrasound-Assisted Extraction of Bioactive Compounds from Allium sativum Leaves Using Response Surface Methodology and …
This study explains the effect of ultrasound on the extraction of the bioactive compounds
from garlic (Allium sativum L.) leaf powder. The experiment was carried out by varying the …
from garlic (Allium sativum L.) leaf powder. The experiment was carried out by varying the …
[PDF][PDF] Convolutional neural network for the detection of coronavirus based on X-ray images
EH Ahmed, MRM Alsemawi, MH Mutar… - Indonesian Journal of …, 2022 - researchgate.net
Nowadays, the coronavirus disease (COVID-19) is considered an ongoing pandemic that
spread quickly in most countries around the world. The COVID-19 causes severe acute …
spread quickly in most countries around the world. The COVID-19 causes severe acute …
Speech emotion recognition using optimized genetic algorithm-extreme learning machine
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
Chirplet transform based time frequency analysis of speech signal for automated speech emotion recognition
Nowadays, the recognition of emotion using the speech signal has gained popularity
because of its vast number of applications in different fields like medicine, online marketing …
because of its vast number of applications in different fields like medicine, online marketing …