International Journal for Rapid Research in Engineering Technology & Applied Science Beta

ISSN (Online): 2455-4723



Notice Board :

Call for Paper
Vol. 10 Issue 9

Submission Start Date:
September 1, 2024

Acceptence Notification Start:
September 10, 2024

Submission End:
September 15, 2024

Final MenuScript Due:
September 25, 2024

Publication Date:
September 30, 2024


Download


IJRRETAS Template


IJRRETAS CopyRight Form


IJRRETAS Review Report


                         Notice Board: Call for PaperVol. 10 Issue 9      Submission Start Date: September 1, 2024      Acceptence Notification Start: September 10, 2024      Submission End: September 15, 2024      Final MenuScript Due: September 25, 2024      Publication Date: September 30, 2024




Volume IX Issue III

Paper Title
Lung Disease Classification and Identification using Deep Learning Techniques
Author Name
Simran shivhare, Manish Dixit
Year Of Publication
2023
Volume and Issue
Volume 9 Issue 3
Abstract
Machine learning is a subfield of artificial intelligence that uses a wide range of statistical, probabilistic, and optimization techniques. These methods allow computers to "learn" from previous examples and find patterns that are hard to spot in large, noisy, or complicated data sets.
PaperID
2023/IJRRETAS/3/2023/45748

Paper Title
Review on EV Charging station Based Renewable Energy System
Author Name
Ravi Sharma, P.k singhal
Year Of Publication
2023
Volume and Issue
Volume 9 Issue 3
Abstract
As the number of electric cars on the road grows, there is a growing need for a reliable charging infrastructure that can keep up with the rate at which people are switching to this way of getting around.
PaperID
2023/IJRRETAS/3/2023/45749

Paper Title
A Literature Review on Brain Tumor Detection and Segmentation
Author Name
Shivam Tamrakar, Prof. Mahesh Prasad Parsai
Year Of Publication
2023
Volume and Issue
Volume 9 Issue 3
Abstract
Brain tumor is a major health concern and its early detection is crucial for effective treatment. Magnetic Resonance Imaging (MRI) is a widely used method for detecting brain tumors, but it can be time-consuming and expensive.
PaperID
2023/IJRRETAS/3/2023/45750

Paper Title
Review on Coverage and capacity improvement of millimeter wave 5G network
Author Name
Shagufta Khan, Prof. Deepak Mishra
Year Of Publication
2023
Volume and Issue
Volume 9 Issue 3
Abstract
Many of the technologies driving both the global economy and societal development, such as the Internet of Things, Industry 4.0 and Smart Healthcare, depend on adequate capacity and coverage of digital connectivity.
PaperID
2023/IJRRETAS/4/2023/45753