Huma Zia

Orcid: 0000-0001-9032-5981

According to our database1, Huma Zia authored at least 15 papers between 2015 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Enhancing IoT network security: a literature review of intrusion detection systems and their adaptability to emerging threats.
Open Comput. Sci., 2025

Gesture-controlled omnidirectional autonomous vehicle: A web-based approach for gesture recognition.
Array, 2025

2023
Diverse distant-students deep emotion recognition and visualization.
Comput. Electr. Eng., November, 2023

Robust deep learning-based detection and classification system for chipless Arabic RFID letters.
Eng. Appl. Artif. Intell., 2023

AI-powered health monitoring of anode baking furnace pits in aluminum production using autonomous drones.
Eng. Appl. Artif. Intell., 2023

2022
Understanding Autism Using Machine Learning: A Structural MRI Study.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm.
Sensors, 2021

Motion Tracked 3D Visualization System for Segmented ROI in Medical Imaging.
Proceedings of the ArabWIC 2021: The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, 2021

Towards Urgent and Rapid Deployment of Contactless IoT Elevator Control Panel during Pandemics.
Proceedings of the ArabWIC 2021: The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, 2021

2019
Privacy in the context of reciprocity: conceptualizing users' choices.
Online Inf. Rev., 2019

A Low-Complexity Machine Learning Nitrate Loss Predictive Model-Towards Proactive Farm Management in a Networked Catchment.
IEEE Access, 2019

2015
Enabling proactive agricultural drainage reuse for improved water quality through collaborative networks and low-complexity data-driven modelling.
PhD thesis, 2015

Predicting discharge using a low complexity machine learning model.
Comput. Electron. Agric., 2015

Data-driven low-complexity nitrate loss model utilizing sensor information - Towards collaborative farm management with wireless sensor networks.
Proceedings of the IEEE Sensors Applications Symposium, 2015

How could sensor networks help with agricultural water management issues? Optimizing irrigation scheduling through networked soil-moisture sensors.
Proceedings of the IEEE Sensors Applications Symposium, 2015


  Loading...