Breast cancer diagnosis by convolutional neural network and advanced thermal exchange optimization algorithm

X Cai, X Li, N Razmjooy… - … Mathematical Methods in …, 2021 - Wiley Online Library
A common gynecological disease in the world is breast cancer that early diagnosis of this
disease can be very effective in its treatment. The use of image processing methods and …

A new improved model of marine predator algorithm for optimization problems

M Ramezani, D Bahmanyar, N Razmjooy - Arabian Journal for Science …, 2021 - Springer
The marine predator algorithm is a new nature-inspired metaheuristic algorithm that mimics
biological interaction between marine predators and prey. It has been also stated from the …

Improved chaos grasshopper optimizer and its application to HRES techno-economic evaluation

M Zhang, H Lyu, H Bian, N Ghadimi - Heliyon, 2024 - cell.com
Current political and economic trends are moving more and more toward the use of
renewable and clean energy as a result of rising energy use and diminishing fossil fuel …

Energy optimization for optimal location in 5G networks using improved Barnacles Mating Optimizer

Z Mohammadnejad, HMR Al-Khafaji… - Physical …, 2023 - Elsevier
In recent years, wireless sensor networks have been studied in many applications. One of
the important issues studied in these networks is the optimal placement of cells in order to …

Energy optimization of a food-energy-water microgrid living laboratory in Yukon, Canada

DJ Sambor, H Penn, MZ Jacobson - Energy Nexus, 2023 - Elsevier
Like most northern settlements, Kluane Lake Research Station (KLRS) in Yukon Territory,
Canada, is an islanded microgrid dependent on diesel generation and subject to high fuel …

Nonlinear simulating of the Proton Exchange Membrane Fuel Cells utilizing Ridgelet Neural Network optimized using a hybrid form of Northern Goshawk Optimizer

R Li, H Tian, Y Di, S Hossain - Applied Energy, 2024 - Elsevier
The utilization of modeling techniques for Proton Exchange Membrane Fuel Cells (PEMFC)
presents a viable and proficient approach for comprehending, enhancing, and increasing …

Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO)

Y Liu, G Yan, A Settanni - Heliyon, 2023 - cell.com
Transportation energy demand has a significant impact on worldwide energy consumption
and greenhouse gas emissions. Accurate transportation energy demand predictions can …

Developed multiple-layer perceptron neural network based on developed search and rescue optimizer to predict iron ore price volatility: A case study

J Lv, W Tang, H Hosseinzadeh - ISA transactions, 2022 - Elsevier
In economic investment, the role of forecasting is very important because in an economic
project, the investor must carefully examine the dimensions of the work such that one of the …

Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network

PB Salunkhe, PS Patil - Multimedia Tools and Applications, 2024 - Springer
Nowadays, people all over the world are facing several problems related to the deadly
disease of breast cancer. The research on breast cancer detection using existing techniques …

Why software-defined radio (SDR) matters in healthcare?

ACB Monteiro, VV Estrela, A Khelassi, Y Iano - Medical Technologies …, 2019 - ajol.info
Background: Wireless Body Area Networks (WBANs) have been drawing noteworthy
academic and industrial attention. A WBAN states a network dedicated to acquire personal …