Pijush Kanti Dutta Pramanik

About Pijush Kanti Dutta Pramanik

Pijush Kanti Dutta Pramanik, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at National Institute of Technology, Durgapur, specializes in the field of Mobile Grid Computing, Mobile Cloud Computing, Crowd Computing, Edge Computing, IoT.

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

Predicting Chronic Liver Disease Using Boosting Technique

A comparative analysis of boosting algorithms for chronic liver disease prediction

Mobile crowd computing: potential, architecture, requirements, challenges, and applications

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

An Ensemble Learning Approach for Diabetes Prediction Using Boosting Techniques

Load Balance-Aware Energy-Efficient Scheduling for Mobile Crowd Computing: A PSO-based Solution

An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms

Chronic kidney disease prediction using boosting techniques based on clinical parameters

Pijush Kanti Dutta Pramanik Information

University

Position

___

Citations(all)

1515

Citations(since 2020)

1505

Cited By

363

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

30

i10Index(since 2020)

30

Email

University Profile Page

National Institute of Technology, Durgapur

Google Scholar

View Google Scholar Profile

Pijush Kanti Dutta Pramanik Skills & Research Interests

Mobile Grid Computing

Mobile Cloud Computing

Crowd Computing

Edge Computing

IoT

Top articles of Pijush Kanti Dutta Pramanik

Title

Journal

Author(s)

Publication Date

Predicting Chronic Liver Disease Using Boosting Technique

Shahid Mohammad Ganie

Pijush Kanti Dutta Pramanik

2024/4/15

A comparative analysis of boosting algorithms for chronic liver disease prediction

Healthcare Analytics

Shahid Mohammad Ganie

Pijush Kanti Dutta Pramanik

2024/2/23

Mobile crowd computing: potential, architecture, requirements, challenges, and applications

Pijush Kanti Dutta Pramanik

Saurabh Pal

Prasenjit Choudhury

2024/1

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

CAAI Transactions on Intelligence Technology

Mehdi Gheisari

Fereshteh Ebrahimzadeh

Mohamadtaghi Rahimi

Mahdieh Moazzamigodarzi

Yang Liu

...

2023

An Ensemble Learning Approach for Diabetes Prediction Using Boosting Techniques

Frontiers in Genetics

Shahid Mohammad Ganie

Pijush Kanti Dutta Pramanik

Majid Bashir Malik

Saurav Mallik

Hong Qin

2023/10/26

Load Balance-Aware Energy-Efficient Scheduling for Mobile Crowd Computing: A PSO-based Solution

Pijush Kanti Dutta Pramanik

Tarun Biswas

Prasenjit Choudhury

2023/9/25

An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms

Comput. Syst. Sci. Eng.

Shahid Mohammad Ganie

Pijush Kanti Dutta Pramanik

Majid Bashir Malik

Anand Nayyar

Kyung Sup Kwak

2023/9/1

Chronic kidney disease prediction using boosting techniques based on clinical parameters

Plos one

Shahid Mohammad Ganie

Pijush Kanti Dutta Pramanik

Saurav Mallik

Zhongming Zhao

2023/12/1

Multicriteria-based resource-aware scheduling in mobile crowd computing: A heuristic approach

Journal of Grid Computing

Pijush Kanti Dutta Pramanik

Tarun Biswas

Prasenjit Choudhury

2023/3

Mapping Learner's Query to Learning Objects using Topic Modeling and Machine Learning Techniques

Scalable Computing: Practice and Experience

Souvik Sengupta

Saurabh Pal

Pijush Kanti Dutta Pramanik

2023/11/17

Sustainable Computing with Mobile Crowd Computing

Pijush Kanti Dutta Pramanik

2023/1

Mitigating sparsity using Bhattacharyya Coefficient and items’ categorical attributes: Improving the performance of collaborative filtering based recommendation systems

Applied Intelligence

Pradeep Kumar Singh

Pijush Kanti Dutta Pramanik

Prasenjit Choudhury

2022/3

Estimating Authors’ Research Impact using PageRank Algorithm

Arpan Sardar

Pijush Kanti Dutta Pramanik

2021/9

Distinctive Author Ranking using DEA Indexing

Quality & Quantity

Avick Kumar Dey

Pijush Kanti Dutta Pramanik

Prasenjit Choudhury

Goutam Bandopadhyay

2021/4

A Hybrid Fog Architecture: Improving the Efficiency in IoT-based Smart Parking Systems

Recent Advances in Computer Science and Communications

Bhawna Suri

Pijush Kanti Dutta Pramanik

Shweta Taneja

2021/6/23

An Efficient Obstacle Detection Scheme for Low-Altitude UAVs using Google Maps

Nilanjan Sinhababu

Pijush Kanti Dutta Pramanik

2021/9

Big Data Classification: Techniques and Tools

.P.K.D Pramanik

S. Pal

M. Mukhopadhyay

S.P. Singh

2021/3

High-Throughput Resource-Efficient Reconfigurable Interleaver for MIMO WLAN Application

PeerJ Computer Science

B. K. Upadhyaya

P. K. D. Pramanik

S. K. Sanyal

2021/6/10

Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing

IEEE Access

Pijush Kanti Dutta Pramanik

Nilanjan Sinhababu

Kyung-Sup Kwak

Prasenjit Choudhury

2021/8/9

Generating A New Shilling Attack for Recommendation Systems

Computers, Materials & Continua

Pradeep Kumar Singh

Pijush Kanti Dutta Pramanik

Madhumita Sardar

Anand Nayyar

Mehedi Masud

...

2022/5/1

See List of Professors in Pijush Kanti Dutta Pramanik University(National Institute of Technology, Durgapur)

Co-Authors

H-index: 58
Jens Bo Holm-Nielsen

Jens Bo Holm-Nielsen

Aalborg Universitet

H-index: 58
Kyung Sup Kwak

Kyung Sup Kwak

Inha University

H-index: 44
Dr. Mehedi Masud

Dr. Mehedi Masud

Taif University

H-index: 33
Shaker El-Sappagh

Shaker El-Sappagh

Inha University

H-index: 24
Sultan Aljahdali

Sultan Aljahdali

Taif University

H-index: 22
Arun solanki

Arun solanki

Gautam Buddha University

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