Taj Rahman Siddiqi

Orcid: 0000-0001-9590-3744

Affiliations:
  • Qurtuba University of Science and Technology, Peshawar, Pakistan


According to our database1, Taj Rahman Siddiqi authored at least 14 papers between 2017 and 2022.

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

Timeline

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Bibliography

2022
Cooperative Energy-Efficient Routing Protocol for Underwater Wireless Sensor Networks.
Sensors, 2022

Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements.
IEEE Access, 2022

2021
RM-ADR: Resource Management Adaptive Data Rate for Mobile Application in LoRaWAN.
Sensors, 2021

Resource allocation of 5G network by exploiting particle swarm optimization.
Iran J. Comput. Sci., 2021

Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning.
Comput. Intell. Neurosci., 2021

Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features.
IEEE Access, 2021

2020
Energy-efficient sensory data gathering based on compressed sensing in IoT networks.
J. Cloud Comput., 2020

2018
Accurate and energy-efficient boundary detection of continuous objects in duty-cycled wireless sensor networks.
Pers. Ubiquitous Comput., 2018

Consistent Data Collection and Assortment in the Progression of Continuous Objects in IoT.
IEEE Access, 2018

Energy Efficient and Accurate Tracking and Detection of Continuous Objects in Wireless Sensor Networks.
Proceedings of the 2018 IEEE International Conference on Smart Internet of Things (SmartIoT), 2018

2017
Graph-Based Mechanism for Scheduling Mobile Sensors in Time-Sensitive WSNs Applications.
IEEE Access, 2017

A Mechanism Filling Sensing Holes for Detecting the Boundary of Continuous Objects in Hybrid Sparse Wireless Sensor Networks.
IEEE Access, 2017

DPCA: Data Prioritization and Capacity Assignment in Wireless Sensor Networks.
IEEE Access, 2017

Localization and tracking of continuous objects boundary area leveraging planarization algorithms in duty-cycled wireless sensor networks.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017


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