Sustainable development evaluation of innovation and entrepreneurship education of clean energy major in colleges and universities based on SPA-VFS and GRNN …

Y Liang, H Wang, WC Hong - Sustainability, 2021 - mdpi.com
The research on the sustainability evaluation of innovation and entrepreneurship education
for clean energy majors in colleges and universities can not only cultivate more and better …

Usability feature extraction using modified crow search algorithm: a novel approach

D Gupta, JJPC Rodrigues, S Sundaram… - Neural Computing and …, 2020 - Springer
For the purpose of usability feature extraction and prediction, an innovative metaheuristic
algorithm is introduced. Generally, the term “usability” is defined by the several researchers …

Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks

M da Nóbrega Raul Victor… - Neural Computing …, 2020 - search.proquest.com
Lung cancer accounts for more than 1.5 million deaths worldwide, and it corresponded to
26% of all deaths due to cancer in 2017. However, lung computer-aided diagnosis systems …

Classification of Maize leaf diseases from healthy leaves using Deep Forest

J Arora, U Agrawal - Journal of Artificial Intelligence and Systems, 2020 - iecscience.org
Apart from being relied upon for feeding the entire world, the agricultural sector is also
responsible for a third of the global Gross-Domestic-Product (GDP). Additionally, a majority …

Efficient artificial fish swarm based clustering approach on mobility aware energy‐efficient for MANET

D Gupta, A Khanna, L SK, K Shankar… - Transactions on …, 2019 - Wiley Online Library
Mobile ad hoc network (MANET) is a gathering of self‐ruling mobile nodes in which ad hoc
network framed without settled foundation. Dynamic topology property of MANET may …

Machine learning based computer aided diagnosis of breast cancer utilizing anthropometric and clinical features

MM Rahman, Y Ghasemi, E Suley, Y Zhou, S Wang… - Irbm, 2021 - Elsevier
Breast cancer is one of the most prevalent types of cancers in females, which has become
rampant all over the world in recent years. The survival rate of breast cancer patients …

Early thyroid risk prediction by data mining and ensemble classifiers

MH Alshayeji - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
Thyroid disease is among the most prevalent endocrinopathies worldwide. As the thyroid
gland controls human metabolism, thyroid illness is a matter of concern for human health. To …

Deep neural network with moth search optimization algorithm based detection and classification of diabetic retinopathy images

K Shankar, E Perumal, RM Vidhyavathi - SN Applied Sciences, 2020 - Springer
In recent days, progressive rate of diabetic retinopathy (DR) becomes high and it is needed
to develop an automated model for effective diagnosis of DR. This paper presents a new …

A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders

A Khamparia, A Singh, D Anand, D Gupta… - Neural computing and …, 2020 - Springer
Neuromuscular disorder is a complex progressive health problem which results in muscle
weakness and fatigue. In recent years, with emergence and development of machine …

A comparative investigation of machine learning algorithms for predicting safety signs comprehension based on socio-demographic factors and cognitive sign features

S Rostamzadeh, A Abouhossein, M Saremi, F Taheri… - Scientific Reports, 2023 - nature.com
This study examines whether the socio-demographic factors and cognitive sign features can
be used for envisaging safety signs comprehensibility using predictive machine learning …