Texture defect classification with multiple pooling and filter ensemble based on deep neural network

H Uzen, M Turkoglu, D Hanbay - Expert Systems with Applications, 2021 - Elsevier
Fabric quality control is one of the most important phases of production in order to ensure
high-quality standards in the fabric production sector. For this reason, the development of …

[PDF][PDF] Fish species recognition using VGG16 deep convolutional neural network

P Hridayami, IKGD Putra, KS Wibawa - Journal of Computing Science …, 2019 - jcse.kiise.org
Conservation and protection of fish species is very important in aquaculture and marine
biology. A few studies have introduced the concept of fish recognition; however, it resulted in …

A novel pavement transverse cracks detection model using WT-CNN and STFT-CNN for smartphone data analysis

C Chen, H Seo, Y Zhao - International Journal of Pavement …, 2022 - Taylor & Francis
This paper proposes a novel pavement transverse crack detection model based on time–
frequency analysis and convolutional neural networks. The accelerometer and smartphone …

[PDF][PDF] Classification of rice plant diseases using the convolutional neural network method

A Priyangka, IMS Kumara - Lontar Komputer: Jurnal Ilmiah Teknologi …, 2021 - academia.edu
Indonesia is one of the countries with the population majority of farming. The agricultural
sector in Indonesia is supported by fertile land and a tropical climate. Rice is one of the …

[HTML][HTML] Race estimation with deep networks

MA Ahmed, RD Choudhury, K Kashyap - Journal of King Saud University …, 2022 - Elsevier
Identifying race, which is a major physical feature in humans, is still a challenging task owing
much to the lack of a concrete definition of race and the diversity of population across the …

DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection

A Saberironaghi, J Ren - Journal of Imaging, 2024 - mdpi.com
Detecting cracks in the pavement is a vital component of ensuring road safety. Since manual
identification of these cracks can be time-consuming, an automated method is needed to …

Enhanced Disease Detection in Pomegranate Cultivation Using PF-CNN: A Deep Learning Approach for Improved Yield and Quality Management

AK Ratha, PK Sethy, SK BEHERA - 2024 - researchsquare.com
Fruit cultivation is a key contributor to the agricultural economy, with pomegranate being
particularly valued for its high nutritional content, including antioxidants, vitamins, and fiber …

Multimodal Biometric Recognition System Based on Residual Neural Network-101

AK Gona, M Subramoniam, R Swarnalatha - Available at SSRN 4241184 - papers.ssrn.com
In past decades, for the purpose of security Biometric system is used worldwide. However,
unimodal biometrics have some constrains and weakness and it also suffers from spoof …

Evaluation of Deep Learning Models in the Prediction of Lung Disease (Pneumonia)

A Rohit, B Padmaja, K Vinay Kumar… - Data Intelligence and …, 2021 - Springer
Medical diagnosis is one of the fields in which there is a great scope for deep neural
networks. Pneumonia is a severe infectious disease that can be predicted using chest x-rays …

[PDF][PDF] Computer and Information Sciences

S Ma, H Liu, N Pan, S Wang - Journal of King Saud University …, 2023 - researchgate.net
abstract Unmanned aerial vehicles (UAVs) have attracted much attention for civil and
military uses because of their high mobility and adaptable deployment capabilities in open …