R
Rohit Raja
Researcher at Guru Ghasidas University
Publications - 51
Citations - 456
Rohit Raja is an academic researcher from Guru Ghasidas University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 7, co-authored 38 publications receiving 136 citations. Previous affiliations of Rohit Raja include J. B. Institute of Engineering and Technology & Shambhunath Institute of Engineering and Technology.
Papers
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Journal ArticleDOI
A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases
Sandeep Kumar,Arpit Jain,Anand Prakash Shukla,Satyendr Singh,Rohit Raja,Shilpa Rani,G. Harshitha,Mohammed A. AlZain,Mehedi Masud +8 more
TL;DR: To detect these cotton leaf diseases appropriately, the prior knowledge and utilization of several image processing methods and machine learning techniques are helpful.
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Internet of Things attack detection using hybrid Deep Learning Model
TL;DR: In this paper, the authors presented a novel security framework and an attack detection mechanism using a deep learning model to fill in the gap, which will efficiently detect malicious devices, which uses a Convolution Neural Network (CNN) to extract the accurate feature representation of data and further classifies those by Long Short-Term Memory (LSTM) Model.
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Detection of lung nodule and cancer using novel Mask-3 FCM and TWEDLNN algorithms
Laxmikant Tiwari,Rohit Raja,Vineet Kumar Awasthi,Rohit Miri,G. R. Sinha,Monagi H. Alkinani,Kemal Polat +6 more
TL;DR: An efficient Deep Learning methodology is proposed for lung cancer detection utilizing Target based Weighted Elman DL Neural Network (TWEDLNN), and Mask Unit (MU) based 3FCM algorithm and the performance of proposed MC-CLAHE is authenticated by contrasting the proposed technique’s performance with prevailing techniques.
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Color Object Detection Based Image Retrieval Using ROI Segmentation with Multi-Feature Method
TL;DR: A new CBIR methodology is proposed and adequacy of any CBIR framework relies upon the features extracted from a color picture, firstly find the region of interest of the image using Sobel and Canny method and later on output is applied on HSV color space, it is clear to human vision eye.
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Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors
Rakesh Kumar Lenka,Amiya Kumar Rath,Zhiyuan Tan,Suraj Sharma,Deepak Puthal,N. V. R. Simha,Mukesh Prasad,Rohit Raja,Shankar Sharan Tripathi +8 more
TL;DR: A novel rendezvous data routing protocol for low-power sensors is proposed that is energy efficient and it prolongs the networks lifetime for scalable IoT infrastructure.