N
Naeem Iqbal
Researcher at Jeju National University
Publications - 38
Citations - 678
Naeem Iqbal is an academic researcher from Jeju National University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 8, co-authored 20 publications receiving 236 citations. Previous affiliations of Naeem Iqbal include COMSATS Institute of Information Technology.
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Towards a Remote Monitoring of Patient Vital Signs Based on IoT-Based Blockchain Integrity Management Platforms in Smart Hospitals
TL;DR: A novel platform for monitoring patient vital signs using smart contracts based on blockchain is proposed using hyperledger fabric, which is an enterprise-distributed ledger framework for developing blockchain-based applications and provides several benefits to the patients, such as an extensive, immutable history log, and global access to medical information from anywhere at any time.
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Peer-to-Peer Energy Trading Mechanism Based on Blockchain and Machine Learning for Sustainable Electrical Power Supply in Smart Grid
TL;DR: In this paper, a blockchain-based predictive energy trading platform is proposed to provide real-time support, day-ahead controlling, and generation scheduling of distributed energy resources in smart microgrids.
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A Novel Blockchain-Based Integrity and Reliable Veterinary Clinic Information Management System Using Predictive Analytics for Provisioning of Quality Health Services
TL;DR: In this paper, a blockchain-based reliable and intelligent veterinary information management system (RIVIMS) is proposed, which uses smart contract and machine learning techniques to predict the future appointments scheduling requests.
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Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable Cities
TL;DR: An optimal route recommendation system for waste carriers vehicles to effectively collect solid waste based on the profile of a particular area is proposed and results indicate that it can be a step forward for the implementation of smart cities, which is the goal of Jeju Island.
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Toward Accurate Position Estimation Using Learning to Prediction Algorithm in Indoor Navigation.
TL;DR: A novel position estimation system based on learning to the prediction model to address the above challenges and it is observed that the proposed Kalman filter with learning module performed better than the traditionalKalman filter algorithm in terms of root mean square error metric.