Manish Kumar

Orcid: 0000-0002-1311-0976

Affiliations:
  • Indian Institute of Information Technology, Department of Information Technology, Allahabad, India


According to our database1, Manish Kumar authored at least 46 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Adaptive hyperparameter optimization for short term traffic flow prediction with spatial temporal correlated raster data.
Evol. Syst., April, 2024

Distributed hyperparameter optimization based multivariate time series forecasting.
Multim. Tools Appl., January, 2024

2023
An efficient real-time stock prediction exploiting incremental learning and deep learning.
Evol. Syst., December, 2023

Adaptive load balancing in cluster computing environment.
J. Supercomput., November, 2023

AEDS-IoT: Adaptive clustering-based Event Detection Scheme for IoT data streams.
Internet Things, July, 2023

A survey on event detection approaches for sensor based IoT.
Internet Things, July, 2023

Real-time traffic light violations using distributed streaming.
J. Supercomput., May, 2023

Improved multi-class classification approach for imbalanced big data on spark.
J. Supercomput., April, 2023

Curvature Regularized Similarity Based Ricci Flow Embedding.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Event detection using the user context in sensor based IoT.
Wirel. Networks, 2023

Quality Assessment and Monitoring of River Water Using IoT Infrastructure.
IEEE Internet Things J., 2023

2022
A secret sharing-based scheme for secure and energy efficient data transfer in sensor-based IoT.
J. Supercomput., 2022

Data visualization through non linear dimensionality reduction using feature based Ricci flow embedding.
Multim. Tools Appl., 2022

Random Partition Based Adaptive Distributed Kernelized SVM for Big Data.
IEEE Access, 2022

Distributed Decision Fusion for Large Scale IoT- Ecosystem.
Proceedings of the 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2022

Cluster Based Smart Random Walk for Data Aggregation in Wireless Sensor Network.
Proceedings of the 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2022

2021
A rotation based regularization method for semi-supervised learning.
Pattern Anal. Appl., 2021

Improving Classification Accuracy Using Data Fusion Technique in IoT.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Multiclass Imbalanced Big Data Classification Utilizing Spark Cluster.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Fingerprint Identification using Modified Capsule Network.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020
WEED-MC: Wavelet Transform for Energy Efficient Data Gathering and Matrix Completion.
IEEE Trans. Parallel Distributed Syst., 2020

Anticomplementary Triangles for Efficient Coverage in Sensor Network-Based IoT.
IEEE Syst. J., 2020

Interpreting SVM for medical images using Quadtree.
Multim. Tools Appl., 2020

Regularized Deep Convolutional Generative Adversarial Network.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2019
Network Health Monitoring of WSNs Using Node Loss Rate Calculations.
Wirel. Pers. Commun., 2019

Node Scheduling and Compressed Sampling for Event Reporting in WSNs.
IEEE Trans. Netw. Sci. Eng., 2019

ODECS: An On-Demand Explosion-Based Compressed Sensing Using Random Walks in Wireless Sensor Networks.
IEEE Syst. J., 2019

Accurate Detection of Important Events in WSNs.
IEEE Syst. J., 2019

DLME: Distributed Log Mining Using Ensemble Learning for Fault Prediction.
IEEE Syst. J., 2019

2018
DBCS: A Decomposition Based Compressive Sensing for Event Oriented Wireless Sensor Networks.
Wirel. Pers. Commun., 2018

A Compressed Sensing Approach to Resolve The Energy Hole Problem in Large Scale WSNs.
Wirel. Pers. Commun., 2018

Low cost localization using Nyström extended locally linear embedding.
Pattern Recognit. Lett., 2018

Pattern mining for large distributed dataset: A parallel approach (PMLDD).
KSII Trans. Internet Inf. Syst., 2018

In-network data processing in wireless sensor networks using compressed sensing.
Int. J. Sens. Networks, 2018

Applying Big Data Intelligence for Real Time Machine Fault Prediction.
Proceedings of the Big Data Analytics - 6th International Conference, 2018

2017
In-Network Data Processing Based on Compressed Sensing in WSN: A Survey.
Wirel. Pers. Commun., 2017

Compressed sensing based acoustic event detection in protected area networks with wireless multimedia sensors.
Multim. Tools Appl., 2017

Evaluation of Privacy Preserving IN-Network Aggregation for Different Routing Sturctures in WSNS.
J. Ubiquitous Syst. Pervasive Networks, 2017

Frequent Itemset Mining in Large Datasets a Survey.
Int. J. Inf. Retr. Res., 2017

Mining of yield components and other associated quantitative traits in various crops.
Int. J. Bioinform. Res. Appl., 2017

Pattern generation from event oriented sensor data using distributed sensor transaction model.
Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

Sparse Data Recovery using Optimized Orthogonal Matching Pursuit for WSNs.
Proceedings of the 8th International Conference on Ambient Systems, 2017

2016
Privacy Preserving In-network Aggregation in Wireless Sensor Networks.
Proceedings of the 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, 2016

2013
GMCA: a greedy multilevel clustering algorithm for data gathering in wireless sensor networks.
Int. J. Commun. Networks Distributed Syst., 2013

2010
Two-phase clustering based aggregation of sensor data.
Int. J. Data Min. Model. Manag., 2010

2008
Clustering approach to data aggregation in wireless sensor networks.
Proceedings of the 16th International Conference on Networks, 2008


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