Ayyaz-Ul-Haq Qureshi

Orcid: 0000-0002-6552-7060

According to our database1, Ayyaz-Ul-Haq Qureshi authored at least 14 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Designing with Dev-X: A systematic mapping of Developer Experience interventions and their business impact.
Inf. Softw. Technol., 2026

Human Behaviour as a Predictor of Insider Threat: A PRISMA Systematic Literature Review and a Novel Ensemble-Based Detection Model.
Inf., 2026

2025
Advanced Quantum Control With Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain.
IEEE Access, 2025

2024
Implementation of Lightweight Machine Learning-Based Intrusion Detection System on IoT Devices of Smart Homes.
Future Internet, June, 2024

2022
LoRaWAN Based Indoor Localization Using Random Neural Networks.
Inf., 2022

Performance of a Live Multi-Gateway LoRaWAN and Interference Measurement across Indoor and Outdoor Localities.
Comput., 2022

2021
Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks.
Algorithms, 2021

2020
An Adversarial Approach for Intrusion Detection Systems Using Jacobian Saliency Map Attacks (JSMA) Algorithm.
Comput., 2020

An Adversarial Attack Detection Paradigm With Swarm Optimization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Voice over LTE Quality Evaluation Using Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
RNN-ABC: A New Swarm Optimization Based Technique for Anomaly Detection.
Comput., 2019

Intrusion Detection Using Swarm Intelligence.
Proceedings of the UK/China Emerging Technologies, 2019

2018
A Novel Random Neural Network Based Approach for Intrusion Detection Systems.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

Secure Occupancy Monitoring System for IoT Using Lightweight Intertwining Logistic Map.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018


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