Sachin Kumar

Orcid: 0000-0003-3949-0302

Affiliations:
  • South Ural State University, Chelyabinsk, Russian Federation


According to our database1, Sachin Kumar authored at least 47 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Automated cyberattack detection using optimal ensemble deep learning model.
Trans. Emerg. Telecommun. Technol., April, 2024

An efficient fine-grained searchable encryption for secure communication in IoT-based vehicular social networks.
Trans. Emerg. Telecommun. Technol., February, 2024

Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10.
Comput., 2024

2023
SDN and application layer DDoS attacks detection in IoT devices by attention-based Bi-LSTM-CNN.
Trans. Emerg. Telecommun. Technol., November, 2023

Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images.
Neural Comput. Appl., August, 2023

Survivability of industrial internet of things using machine learning and smart contracts.
Comput. Electr. Eng., April, 2023

Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review.
Knowl. Based Syst., 2023

Edge-Enabled Blockchain-Based V2X Scheme for Secure Communication Within the Smart City Development.
IEEE Internet Things J., 2023

Edge-Empowered Communication-Based Vehicle and Pedestrian Trajectory Perception System for Smart Cities.
IEEE Internet Things J., 2023

Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT.
IEEE Access, 2023

Automated Segmentation of Brain Tumor MRI Images Using Deep Learning.
IEEE Access, 2023

2022
Intelligent data science enabled reactive power optimization of a distribution system.
Sustain. Comput. Informatics Syst., 2022

Energy Aware Resource Optimization using Unified Metaheuristic Optimization Algorithm Allocation for Cloud Computing Environment.
Sustain. Comput. Informatics Syst., 2022

A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem.
Inf., 2022

Exploring the Parametric Impact on a Deep Learning Model and proposal of a 2-Branch CNN for Diabetic Retinopathy Classification with Case Study in IoT-Blockchain based Smart Healthcare System.
Informatica (Slovenia), 2022

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches.
Comput., 2022

Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach.
Comput., 2022

Robust Automatic Modulation Classification Using Convolutional Deep Neural Network Based on Scalogram Information.
Comput., 2022

Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification.
Comput. Electr. Eng., 2022

Botnet Detection Employing a Dilated Convolutional Autoencoder Classifier with the Aid of Hybrid Shark and Bear Smell Optimization Algorithm-Based Feature Selection in FANETs.
Big Data Cogn. Comput., 2022

Brain Tumor Classification Using Dense Efficient-Net.
Axioms, 2022

A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm.
Axioms, 2022

2021
Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification.
Pattern Recognit. Lett., 2021

A Classifier Ensemble Approach for Prediction of Rice Yield based on Climatic Variability for Coastal Odisha Region of India.
Informatica (Slovenia), 2021

A Novel Borda Count based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction.
Informatica (Slovenia), 2021

Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems.
IEEE Access, 2021

Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images.
IEEE Access, 2021

2020
Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks.
J. Big Data, 2020

Security Challenges and Cyber Forensic Ecosystem in IoT Driven BYOD Environment.
IEEE Access, 2020

2019
A machine learning approach to analyze customer satisfaction from airline tweets.
J. Big Data, 2019

Internet of Things is a revolutionary approach for future technology enhancement: a review.
J. Big Data, 2019

An ensemble classification approach for prediction of user's next location based on Twitter data.
J. Ambient Intell. Humaniz. Comput., 2019

Twitter-based Opinion Mining for Flight Service utilizing Machine Learning.
Informatica (Slovenia), 2019

Delay Optimization Using Genetic Algorithm at the Road Intersection.
Int. J. Inf. Retr. Res., 2019

Big Data Processing and Analytics Inside DBMS.
Proceedings of the Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019), 2019

An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS.
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2019

2018
ANN based short-term traffic flow forecasting in undivided two lane highway.
J. Big Data, 2018

Augmenting Classifiers Performance through Clustering: A Comparative Study on Road Accident Data.
Int. J. Inf. Retr. Res., 2018

Sentiment Analysis on Tweets for Trains Using Machine Learning.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Responsible Factors of Powered Two Wheeler Accidents: A Review.
Proceedings of the 2018 IEEE International Conference on Research in Intelligent and Computing in Engineering (RICE 2018), 2018

2017
Implementation of n-gram Methodology for Rotten Tomatoes Review Dataset Sentiment Analysis.
Int. J. Knowl. Discov. Bioinform., 2017

A comparative analysis of heterogeneity in road accident data using data mining techniques.
Evol. Syst., 2017

A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification).
Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering (RICE 2017), 2017

Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

2016
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC).
J. Big Data, 2016

A novel framework to analyze road accident time series data.
J. Big Data, 2016

2015
A data mining framework to analyze road accident data.
J. Big Data, 2015


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