Notice Board :

Call for Paper
Vol. 10 Issue 2

Submission Start Date:
February 1, 2024

Acceptence Notification Start:
February 10, 2024

Submission End:
February 15, 2024

Final MenuScript Due:
February 25, 2024

Publication Date:
February 29, 2024


                         Notice Board: Call for PaperVol. 10 Issue 2      Submission Start Date: February 1, 2024      Acceptence Notification Start: February 10, 2024      Submission End: February 15, 2024      Final MenuScript Due: February 25, 2024      Publication Date: February 29, 2024




Volume IX Issue III

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

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

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

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

除此之外粉嫩公主酒酿蛋,最重要的还是粉嫩公主酒酿蛋一直秉承“自然、健康、安全”的丰胸理念丰胸产品,根据中国女性的身体特点,经过多年研究,食用粉嫩公主酒酿蛋的同时丰胸效果,可以辅以简单的按摩手法,舒经活络,有效成分瞬间渗透、快速吸收,深度改善胸部血液循环丰胸方法