A review of recent developments of metal–organic frameworks as combined biomedical platforms over the past decade
Abstract Metal–organic frameworks (MOFs), also called porous coordination polymers,
represent a class of crystalline porous materials made up of organic ligands and metal …
represent a class of crystalline porous materials made up of organic ligands and metal …
Recent advances of deep learning for computational histopathology: principles and applications
Simple Summary The histopathological image is widely considered as the gold standard for
the diagnosis and prognosis of human cancers. Recently, deep learning technology has …
the diagnosis and prognosis of human cancers. Recently, deep learning technology has …
Model identification of proton-exchange membrane fuel cells based on a hybrid convolutional neural network and extreme learning machine optimized by improved …
E Han, N Ghadimi - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
In this research, a new optimized deep learning-based methodology is proposed for optimal
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …
Model parameters identification of the PEMFCs using an improved design of Crow Search Algorithm
F Duan, F Song, S Chen, M Khayatnezhad… - International Journal of …, 2022 - Elsevier
There is an increasing trend for fuel cell systems applications in electricity generation
systems instead of traditional power generation systems because of their advantages such …
systems instead of traditional power generation systems because of their advantages such …
Optimal model evaluation of the proton-exchange membrane fuel cells based on deep learning and modified African Vulture Optimization Algorithm
J Zhang, M Khayatnezhad… - Energy Sources, Part A …, 2022 - Taylor & Francis
ABSTRACT A new optimized design of a hybrid AlexNet/Extreme Learning Machine (ELM)
network to provide an optimal identification tool for the Proton-exchange membrane fuel …
network to provide an optimal identification tool for the Proton-exchange membrane fuel …
Optimal modeling of combined cooling, heating, and power systems using developed African Vulture Optimization: a case study in watersport complex
L Chen, H Huang, P Tang, D Yao, H Yang… - Energy Sources, Part …, 2022 - Taylor & Francis
The present study proposes an optimal design of combined cooling, heating, and power
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
L Zhang, J Zhang, W Gao, F Bai, N Li… - … Signal Processing and …, 2024 - Elsevier
Skin cancer is a risky ailment that can be effectively managed if detected promptly. However,
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …
Dynamic candidate solution boosted beluga whale optimization algorithm for biomedical classification
EH Houssein, A Sayed - Mathematics, 2023 - mdpi.com
In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …
Optimal deep learning neural network using ISSA for diagnosing the oral cancer
Q Huang, H Ding, N Razmjooy - Biomedical Signal Processing and Control, 2023 - Elsevier
Most cancers are not fatal if diagnosed early and treated with medication. But if cancer is not
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …
SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm
With the introduction of various loads and dispersed production units to the system in recent
years, the significance of precise forecasting for short, long, and medium loads have already …
years, the significance of precise forecasting for short, long, and medium loads have already …