Amir Mosavi

发表

A Neural Network and Optimization Based Lung Cancer Detection System in CT Images

S. Band, Chapala Venkatesh, K. Ramana, 2022, Frontiers in Public Health.

Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models

Shahab S. Band, K. Chau, Senlin Zhu, 2022, Engineering Applications of Computational Fluid Mechanics.

Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization.

Muhammad Attique Khan, Amir Mosavi, Muhammad Bilal Shoaib Khan, 2022, Mathematical biosciences and engineering : MBE.

Breast Cancer Detection and Classification Empowered With Transfer Learning

Muhammad Attique Khan, Muhammad Farhan Khan, Khalid A. Alissa, 2022, Frontiers in Public Health.

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis

Arthur W. Chang, Shahab S. Band, M. Moslehpour, 2022, Frontiers in Public Health.

Colonial competitive evolutionary Rao algorithm for optimal engineering design

Amir Seyed Danesh, S. Ardabili, S. Band, 2022, Alexandria Engineering Journal.

IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning

Muhammad Umar Nasir, M. Gollapalli, Amir Mosavi, 2022, Computational intelligence and neuroscience.

Evaluating the E ﬃ ciency of Di ﬀ erent Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS / PALSAR Data

Shahab S. Band, Kaustuv Mukherjee, Saeid Janizadeh, 2020 .

Accurate brain tumor detection using deep convolutional neural network

Mostofa Kamal Nasir, Shahab S. Band, Md. Saikat Islam Khan, 2022, Computational and structural biotechnology journal.

When Smart Cities Get Smarter via Machine Learning: An In-depth Literature Review

Shahab S. Band, M. Sookhak, Hao-Ting Pai, 2022, IEEE Access.

Knowledge-based rigorous machine learning techniques to predict the deliverability of underground natural gas storage sites for contributing to sustainable development goals

Ning Wei, S. Band, H. Vo Thanh, 2022, Energy Reports.

COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach — Source link

R. Gloaguen, Pedram Ghamisi, G. Pintér, 2022 .

An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting

Mohammad Hosein Sabzalian, Khalid A. Alattas, Shu-Rong Yan, 2022, IEEE Access.

Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow

Shahab S. Band, K. Chau, S. Band, 2022, Engineering Applications of Computational Fluid Mechanics.