Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …

P Rani, S Kotwal, J Manhas, V Sharma… - … Methods in Engineering, 2022 - Springer
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …

Deep learning in electrical utility industry: A comprehensive review of a decade of research

M Mishra, J Nayak, B Naik, A Abraham - Engineering Applications of …, 2020 - Elsevier
Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …

Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods

M Canayaz - Applied Soft Computing, 2022 - Elsevier
Diabetic retinopathy (DR) is the most common cause of blindness in middle-aged people. It
shows that an automatic image evaluation system is needed in the diagnosis of this disease …

[PDF][PDF] Classification of Images Based on a System of Hierarchical Features.

Y Ibrahim Daradkeh, V Gorokhovatskyi… - Computers …, 2022 - openarchive.nure.ua
The results of the development of the new fast-speed method of classification images using
a structural approach are presented. The method is based on the system of hierarchical …

Plant disease diagnosis using deep learning based on aerial hyperspectral images: A review

LW Kuswidiyanto, HH Noh, X Han - Remote Sensing, 2022 - mdpi.com
Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

Cluster representation of the structural description of images for effective classification

DY Ibrahim, V Gorokhovatskyi, I Tvoroshenko… - 2022 - openarchive.nure.ua
Анотація The problem of image recognition in the computer vision systems is being studied.
The results of the development of efficient classification methods, given the figure of …

A hybrid deep transfer learning of CNN-based LR-PCA for breast lesion diagnosis via medical breast mammograms

NA Samee, AA Alhussan, VF Ghoneim, G Atteia… - Sensors, 2022 - mdpi.com
One of the most promising research areas in the healthcare industry and the scientific
community is focusing on the AI-based applications for real medical challenges such as the …

CF2PN: A cross-scale feature fusion pyramid network based remote sensing target detection

W Huang, G Li, Q Chen, M Ju, J Qu - Remote Sensing, 2021 - mdpi.com
In the wake of developments in remote sensing, the application of target detection of remote
sensing is of increasing interest. Unfortunately, unlike natural image processing, remote …

A survey on applications of artificial intelligence for pre-parametric project cost and soil shear-strength estimation in construction and geotechnical engineering

S Sharma, S Ahmed, M Naseem, WS Alnumay, S Singh… - Sensors, 2021 - mdpi.com
Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a
very crucial and preliminary aspect of any construction project. Similarly, building strong …

Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling

J Li, G Yan, LH Abbud, T Alkhalifah, F Alturise… - … in Engineering Software, 2023 - Elsevier
In this study, we developed an ANFIS-GA-PSO hybrid model for predicting the shear
strength of concrete beams. Predicting the shear strength of concrete beams before …