Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional …
Microorganisms are widely distributed in the human daily living environment. They play an
essential role in environmental pollution control, disease prevention and treatment, and food …
essential role in environmental pollution control, disease prevention and treatment, and food …
Application of bio and nature-inspired algorithms in agricultural engineering
The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images
R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …
caused a significant outbreak in all countries and regions for both males and females …
Efficient hybrid nature-inspired binary optimizers for feature selection
The process of dimensionality reduction is a crucial solution to deal with the dimensionality
problem that may be faced when dealing with the majority of machine learning techniques …
problem that may be faced when dealing with the majority of machine learning techniques …
Machine learning prediction models for battery-electric bus energy consumption in transit
The energy consumption (EC) of battery-electric buses (BEB) varies significantly due to the
intertwined relationships of vehicular, operational, topological, and external parameters …
intertwined relationships of vehicular, operational, topological, and external parameters …
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock
To design the tunnel excavations, the most important parameters are the engineering
properties of rock, eg, Young's modulus (E) and unconfined compressive strength (UCS) …
properties of rock, eg, Young's modulus (E) and unconfined compressive strength (UCS) …
Enhanced safety implementation in 5S+ 1 via object detection algorithms
Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: An early failure detection diagnostic service
Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …
situations in processes to avoid downtimes caused by unexpected tool wear or …
Osteolysis: A Literature Review of Basic Science and Potential Computer‐Based Image Processing Detection Methods
SB Saadi, R Ranjbarzadeh, A Amirabadi… - Computational …, 2021 - Wiley Online Library
Osteolysis is one of the most prominent reasons of revision surgeries in total joint
arthroplasty. This biological phenomenon is induced by wear particles and corrosion …
arthroplasty. This biological phenomenon is induced by wear particles and corrosion …
Classification of electronic components based on convolutional neural network Architecture
I Atik - Energies, 2022 - mdpi.com
Electronic components are basic elements that are widely used in many industrial and
technological fields. With the development of technology, their dimensions are being …
technological fields. With the development of technology, their dimensions are being …