Prateek Srivastava

About Prateek Srivastava

Prateek Srivastava, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Sir Padampat Singhania University, specializes in the field of Distributed Systems, Formal modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel Hybrid Optimization Algorithm for Improved Search Performance in Real-World Applications

Enhancing Rice Leaf Disease Classification: A CNN-SVM Approach

An Empirical Study on Hair Strength Classification using CNN and Random Forest Ensembles

Geranium Prognosis: Unveiling Floral Mysteries through CNN & SVM Fusion

TuberVision: Unveiling Potato Diversity through Advanced Classification Techniques

CNN and Random Forest-Based Tomato Disease Urgency Prediction: A Vital Tool for Agriculture

Smart Farming: Integrated Federated Learning CNNs for Brinjal Leaf Disease Detection

AcneAI+: Revolutionizing Dermatology Through Advanced Machine Learning

Prateek Srivastava Information

University

Position

Assistant Professor Department of Computer Science and Engineering RajasthanIndia

Citations(all)

75

Citations(since 2020)

62

Cited By

21

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Sir Padampat Singhania University

Google Scholar

View Google Scholar Profile

Prateek Srivastava Skills & Research Interests

Distributed Systems

Formal modelling

Top articles of Prateek Srivastava

Title

Journal

Author(s)

Publication Date

Novel Hybrid Optimization Algorithm for Improved Search Performance in Real-World Applications

Shailendra Pratap Singh

Prateek Srivastava

2024/3/14

Enhancing Rice Leaf Disease Classification: A CNN-SVM Approach

Deepak Banerjee

Vinay Kukreja

Prateek Srivastava

Abhishek Bhattacherjee

Kireet Joshi

2024/3/5

An Empirical Study on Hair Strength Classification using CNN and Random Forest Ensembles

Vinay Kukreja

Prateek Srivastava

Ashish Garg

2024/3/15

Geranium Prognosis: Unveiling Floral Mysteries through CNN & SVM Fusion

Arshleen Kaur

Vinay Kukreja

Rajender Kumar

Prateek Srivastava

2024/1/27

TuberVision: Unveiling Potato Diversity through Advanced Classification Techniques

Vinay Kukreja

Prateek Srivastava

Ashish Garg

2024/3/14

CNN and Random Forest-Based Tomato Disease Urgency Prediction: A Vital Tool for Agriculture

Deepak Banerjee

Vinay Kukreja

Prateek Srivastava

Siddhant Thapliyal

2024/1/24

Smart Farming: Integrated Federated Learning CNNs for Brinjal Leaf Disease Detection

Ankita Suryavanshi

Vinay Kukreja

Prateek Srivastava

Shiva Mehta

Kireet Joshi

2024/3/14

AcneAI+: Revolutionizing Dermatology Through Advanced Machine Learning

Vinay Kukreja

Prateek Srivastava

Ashish Garg

Shanmugasundaram Hariharan

2024/1/4

Adopting Federated Learning and CNN for Advanced Plant Pathology: A Case of Red Globe Grape Leaf Diseases Dissecting Severity

Varun Jindal

Vinay Kukreja

Shiva Mehta

Prateek Srivastava

Navin Garg

2023/8/25

Next-Gen Cucurbit Disease Diagnosis: A Federated Learning CNN Approach

Ankita Suryavanshi

Vinay Kukreja

Prateek Srivastava

Shiva Mehta

Siddhant Thapliyal

2023/12/22

Agriculture Breakthrough: Federated ConvNets for Unprecedented Maize Disease Detection and Severity Estimation

Shiva Mehta

Vinay Kukreja

Prateek Srivastava

2023/8/10

Okra Leaf Disease Recognition Using Synergistic Deep Learning and Ensemble Classification

Ankita Suryavanshi

Vinay Kukreja

Prateek Srivastava

Abhishek Bhattacherjee

Ramesh Singh Rawat

2023/12/22

Banana leaf disease classification using deep learning and various boosting techniques

Prateek Srivastava

Saumitra Chattopadhyay

2023

Accurate Anthracnose Disease Classification using a Hybrid CNN-Random Forest Architecture

Deepak Banerjee

Vinay Kukreja

Prateek Srivastava

Shanmugasundaram Hariharan

Navin Garg

2023/12/1

Improving Agricultural Efficiency: Severity-based Diagnosis of Bottle Gourd Leaf Diseases Using Federated Learning CNN

Varun Jindal

Vinay Kukreja

Shiva Mehta

Prateek Srivastava

Noor Mohd

2023/10/6

Type 2 Diabetes Mellitus Prediction with Gut Microbes Using Machine Learning Through Shotgun Metagenomic Sequencing

Akhilesh Kumar Sharma

Sachit Bhardwaj

Devesh Kumar Srivastava

Prateek Srivastava

2023/9/7

Formal Model of Crash Tolerant Moving Sequencer Atomic Broadcast (UUB Based).

Prateek Srivastava

2022

Corn Leaf Disease Identification with Improved Accuracy.

Prateek Srivastava

2022

Identification of Brain Stroke using Boosted Random Forest

Varun Sapra

Luxmi Sapra

Ankit Vishnoi

Prateek Srivastava

2022/11/10

Classification of Corn Leaf Diseases using Various Pre-trained Deep Learning Networks and Performance Comparison

Prateek Srivastava

Shailendra Pratap Singh

Ankit Vishnoi

Varun Sapra

2022/11/10

See List of Professors in Prateek Srivastava University(Sir Padampat Singhania University)