cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mochamad Nashrullah
Contact Email
Nashrul.id@gmail.com
Phone
+6285745063538
Journal Mail Official
Nashrul.id@gmail.com
Editorial Address
Kavling Banar, Pilang, Sidoarjo, Jawa Timur
Location
Unknown,
Unknown
INDONESIA
IJOT
Published by Research Parks Publishing
ISSN : 26157071     EISSN : 26158140     DOI : https://doi.org/10.31149/ijot.v4i5
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
International Journal on Orange Technologies (IJOT) is an online international peer-reviewed journal that publishes high-quality original scientific papers, short communications, correspondence, and case studies in areas of research, development, and applications of orange technology and engineering. Review articles of current interest and high standards may be considered. Only those manuscripts are considered for publication, the contents of which have not been published and are not being considered for publication in any other journal. The journal focuses on various learning and investigation areas to reach better excellence in research development as a whole.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 13 Documents
 1   2 
Search results for , issue "Vol. 2 No. 1 (2020): January" : 13 Documents clear
The Future of Our Country is in the Hands of Youth Shodiyev Alisher; Hojiev Sherali
International Journal on Orange Technologies Vol. 2 No. 1 (2020): January
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the period of rapid development, the comprehensive development of the country depends on the intellectual potential of its population. In today's globalized world, the perspective of an intellectually underdeveloped state is unilateral. . The attitude of our people to the processes of globalization can be explained by the well-known Indian scientist Mahatma Gandhi: ”I cannot always close my home gates and windows, because my house needs fresh air. At the same time, I do not want the air coming through our doors and windows to turn into a storm, to destroy my house, and to destroy myself”.
Some Historical Information about the Life and Mathematical Heritage of Beruni Farmonova M. O.; Sultanov J. S.
International Journal on Orange Technologies Vol. 2 No. 1 (2020): January
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The article discusses materials about the life and mathematical heritage of the famous Central Asian scholar Abu Raikhan Beruni. Beruniy wrote his first major work at the age of 27 in Al-Asarul-bokiya (Remains of Ancient Peoples). In this work, the author reflects the achievements of scientists of that time in the field of mathematics, astronomy and geometry. Beruniy describes the ideas of the ancient Arabs, Iranians, Sogdians, Khorezmians, Greeks, Romans and other peoples cited in yearbooks, as well as information about popular months, weeks and days, holidays and traditions. Completed in 1031, Beruni's famous book, covering 80 chapters of “India,” is devoted to various aspects of astronomical science, as well as the development of geometry, history and other objects in Indian society, about Hindu religious beliefs and customs
Study of Brain Region Segmentation Using Convolutional Neural Network Sachin Singh
International Journal on Orange Technologies Vol. 2 No. 1 (2020): January
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Magnetic Resonance Imaging (MRI) is used in medical imaging for detection of tumours and visualize brain tissues. This is done manually by expert radiologist and this takes good amount of time. The traditional method of MRI evaluation of tumour depends greatly on qualitative features, like density of tumour, growth pattern etc. Brain Region Segmentation is important in neuroimaging application, for example, alignment of images, surface reconstruction etc. The previous methods depends upon the qualitative features and is very sensitive to errors. Noise and errors need to be reduced and efficiently delineated, very less work is done in automatic tumour detection using deep learning methods and there is lot of areas which can be explored. The deep learning method is very much different from the machine learning method. The machine learning method uses algorithms to input data, learn from given data, and make decision based on the experience or learning whereas the deep learning can learn and make decisions on its own. Deep learning has a capability of learning from data that is unstructured or unlabeled. In deep learning, the algorithms try to learn using method of feature extraction which is very different and makes the model fully automatic, here we don’t require any handcrafted feature. In traditional method we need to develop feature extractor for different problem, so we use deep learning which reduces effort of developing different feature extractor for different problem. In one of method of 2-D

Page 2 of 2 | Total Record : 13

 1   2 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol. 7 No. 3 (2025): International Journal on Orange Technologies (IJOT) Vol. 7 No. 2 (2025): International Journal on Orange Technologies (IJOT) Vol. 7 No. 1 (2025): International Journal on Orange Technologies (IJOT) Vol. 6 No. 3 (2024): International Journal on Orange Technologies (IJOT) Vol. 6 No. 2 (2024): International Journal on Orange Technologies (IJOT) Vol. 6 No. 1 (2024): International Journal on Orange Technologies (IJOT) Vol. 5 No. 12 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 10 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 8 (2023): International Journal on Orange Technologies Vol. 5 No. 7 (2023): International Journal on Orange Technologies Vol. 5 No. 6 (2023): International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies Vol. 5 No. 4 (2023): International Journal on Orange Technologies Vol. 5 No. 3 (2023): International Journal on Orange Technologies Vol. 5 No. 2 (2023): International Journal on Orange Technologies Vol. 5 No. 1 (2023): International Journal on Orange Technologies Vol. 4 No. 12 (2022): IJOT Vol. 4 No. 11 (2022): IJOT Vol. 4 No. 10 (2022): IJOT Vol. 4 No. 9 (2022): IJOT Vol. 4 No. 8 (2022): IJOT Vol. 4 No. 7 (2022): IJOT Vol. 4 No. 6 (2022): IJOT Vol. 4 No. 5 (2022): IJOT Vol. 4 No. 4 (2022): IJOT Vol. 4 No. 3 (2022): IJOT Vol. 4 No. 2 (2022): IJOT Vol. 4 No. 1 (2022): IJOT Vol. 3 No. 12 (2021): IJOT Vol. 3 No. 11 (2021): IJOT Vol. 3 No. 10 (2021): IJOT Vol. 3 No. 9 (2021): IJOT Vol. 3 No. 8 (2021): IJOT Vol. 3 No. 7 (2021): IJOT Vol. 3 No. 6 (2021): IJOT Vol. 3 No. 5 (2021): IJOT Vol. 3 No. 4 (2021): IJOT Vol. 3 No. 3 (2021): IJOT Vol. 3 No. 2 (2021): IJOT Vol. 3 No. 1 (2021): IJOT Vol. 2 No. 12 (2020): December Vol. 2 No. 11 (2020): November Vol. 2 No. 10 (2020): October Vol. 2 No. 9 (2020): September Vol. 2 No. 8 (2020): August Vol. 2 No. 7 (2020): July Vol. 2 No. 6 (2020): June Vol. 2 No. 5 (2020): May Vol. 2 No. 1 (2020): January Vol. 1 No. 12 (2019): December Vol. 1 No. 9 (2019): September Vol. 1 No. 2 (2019): IJOT Vol. 1 No. 1 (2019): IJOT More Issue