ARCHIVES

1. http://ecoursesonline.iasri.res.in/mod/page/view.php?i d=97351
2. Shankar Shankar M. Patil and A. K. Malik, “Corelation based real-time data analysis of graduate students'behaviour” Springer Nature
Singapore Pte Ltd. 2019
3. Defect Detection in Food Ingredients Using Multilayer Perceptron Neural Network by Ikramullah Khosa andEros Pasero; Department
of Electronics and Telecommunication; Torion, Italy.
4. P.M Keagy and T.F.Schatzki,” Machine recognition of weevil damage in wheat radiograph” Cereal chemistry70 (1993): 696-696.
5. P.M Keagy, B.Parvin and T.F.Schatzki, “Machine recognition of navel orange worm damage in X-ray images of pistachio nuts”
(1996);140-145.
6. T.F.Schatzki,et al. “Defect detection in apples by means of X-ray imaging” Transactions of the ASAE40.5(1997):1407-1415.
7. Y.Yin and G.Y.Tian, “Feature extraction and optimisation for x-ray weld image classification” Proc. 17thWorld Conf. on Nondestructive
Testing, 2008.
8. Faster R-CNN with Classifier Fusion for Small Fruit Detection by Xiaochun Mai, Hong Zhang and Max Q.-H. MengJ., 2018 IEEE
International Conference on Robotics and Automation (ICRA) May 21-25, 2018,Brisbane, Australia
9. INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION-BASED
CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN) by aHasan Basri, bIwan Syarif, cSritrusta Sukaridhoto, dMuhammad
Fajrul Falah,aDepartment of Informatics Management, Politeknik Negeri Fakfak, West Papua, Indonesia b,c,dDepartment of
Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Indonesia E-mail: [email protected],
[email protected], [email protected]
10. Faster R-CNN Implementation Method for MultiFruit Detection Using Tensorflow Platform by Hasan Basri, Iwan Syarif, Sritrustra
Sukaridhoto Department of Information and Computer Engineering Graduate Program Of Engineering Technology Politeknik
Elektronika Negeri Surabaya [email protected],{iwanarif,sritrustra}@pens.ac.id
11. Fruit Detection Using Faster R-CNN Based On Deep Network by Linjuan Ma1, Fuquan Zhang2, Lin Xu3; School of Computer Science
and Technology, Beijing Institute of Technology, 100081 Beijing, P.R. China 2 Fujian Provincial Key Laboratory of Information
Processing and Intelligent Control(Minjiang Univeristy), Fuzhou, 350121, P.R. China * Corresponding author: Fuquan Zhang, e-mail:
[email protected]. 3 Key Laboratory of Nondestructive Testing, Fuqing Branch of Fujian Normal University, Fuzhou, 350300,
P.R.china.
12. https://tryolabs.com/blog/2018/01/18/faster-r-cnndown-the-rabbit-hole-of-modern-object-detection/
13. Shankar M. Patil and Dr. Praveen Kumar, “Data Mining Model for Effective Data Analysis of Higher Education Students Using
MapReduce”, IJERMT, 201