Gourav Bathla

Orcid: 0000-0003-4198-9647

According to our database1, Gourav Bathla authored at least 15 papers between 2020 and 2026.

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Bibliography

2026
Fusion of quantum computing with smart agriculture: A systematic review of methods, implementation, applications, and challenges.
Inf. Fusion, 2026

2025
Enhancing Healthcare Data Privacy in Cloud IoT Networks Using Anomaly Detection and Optimization with Explainable AI (ExAI).
Comput. Mater. Continua, 2025

2024
IndianFoodNet: effective Indian multi-food identification and recommendation for hypertensive patients using deep convolutional neural network.
Neural Comput. Appl., May, 2024

An efficient fuzzy hyper-edge clustering and popularity-based caching scheme for CCN-enabled IoT networks.
Multim. Tools Appl., May, 2024

2023
Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review.
Artif. Intell. Rev., November, 2023

Fuzzy-EPO Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption with the Brownout Algorithm.
Wirel. Pers. Commun., April, 2023

Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0.
Soft Comput., April, 2023

Stocks of year 2020: prediction of high variations in stock prices using LSTM.
Multim. Tools Appl., March, 2023

2022
Intelligent fake reviews detection based on aspect extraction and analysis using deep learning.
Neural Comput. Appl., 2022

Knowledge Application to Crossover Operators in Genetic Algorithm for Solving the Traveling Salesman Problem.
Int. J. Softw. Innov., 2022

QoS aware task consolidation approach for maintaining SLA violations in cloud computing.
Comput. Electr. Eng., 2022

2020
A graph-based model to improve social trust and influence for social recommendation.
J. Supercomput., 2020

AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder.
Multim. Tools Appl., 2020

User-Review Oriented Social Recommender System for Event Planning.
Ingénierie des Systèmes d Inf., 2020

Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph.
Int. J. Cogn. Informatics Nat. Intell., 2020


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