Application of thermal imaging combined with machine learning for detecting the deterioration of the cassava root

J Posom, C Duangpila, K Saengprachatanarug… - Heliyon, 2023 - cell.com
Freshness is an important parameter that is indexed in the quality assessment of commercial
cassava tubers. Cassava tubers that are not fresh have reduced starch content. Therefore, in …

Hessenberg factorization and firework algorithms for optimized data hiding in digital images

MT Gaata, MT Younis, JN Hasoon… - Journal of Intelligent …, 2022 - degruyter.com
Data hiding and watermarking are considered one of the most important topics in cyber
security. This article proposes an optimized method for embedding a watermark image in a …

An accurate Alzheimer's disease detection using a developed convolutional neural network model

MT Younis, YT Younus, JN Hasoon, AH Fadhil… - Bulletin of Electrical …, 2022 - beei.org
Alzheimer's disease indicates one of the highest difficult to heal diseases, and it is acutely
affecting the elderly normal lives and their households. Early, effective, and accurate …

A review Technological development in the grading of fruits and vegetables: A review

P Nema, A Kheto, P Kumar - Agricultural Engineering International …, 2023 - cigrjournal.org
Grading is an ancient technique used for selecting and separating quality-based desirable
products to increase the overall profit. It also contributes in maintaining uniform quality …

[PDF][PDF] Technological development in the grading of fruits and vegetables.

A Kheto, PK Nema, VS Sharanagat… - Agricultural Engineering …, 2023 - cigrjournal.org
Grading is an ancient technique for selecting and separating high-quality, desirable
products to increase the profit margin. Considering the importance of grader in food industry …

Analisa Performa Convolutional Neural Network dalam Klasifikasi Citra Apel dengan Data Augmentasi

DT Rhamadiyanti - KLIK: Kajian Ilmiah Informatika dan Komputer, 2024 - djournals.com
Augmentation is creating new samples from an original dataset by applying small random
transformations to the original dataset but retaining its labels. This research applies Data …

High-Level Deep Features and Convolutional Neural Network for Evaluating the Classification Performance of File Cluster Types

RR Ali, LN Dawd, SA Mostafa… - International Conference …, 2023 - Springer
Accurate file recovery of the corrupted or fragmented file is a very important task when
missing the file system, since file recovery procedure involves methods, techniques, and …

A Comprehensive Study on Fruit Classification and Grading Techniques

VR Siddhartha - ieeexplore.ieee.org
Traditional methods for fruit grading are based on sensory or psychometric evaluation,
which is costly and time-consuming. Different approaches were developed for different fruit …