Syeda Fizzah Jilani

Lecturer in Radio Spectrum Physics

Aberystwyth University

United Kingdom

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Syeda Fizzah Jilani is a Lecturer in Radio Spectrum Physics at Aberystwyth University, UK. Her research interests encompass urbanization's environmental impacts, deep learning applications in health and environmental science, and remote sensing techniques. Recent publications include studies on pregnancy risk prediction, landslide detection, and air quality influenced by tropical cyclones.

Articles (17)

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2025

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2022

Collaborators (5)

Muhammad Aslam

Aberystwyth University

UNITED KINGDOM

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Manabu Tsukada

Associate professor

University of Tokyo

JAPAN

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David Ndzi

Assistant Dean (Global Engagement)

University of the West of Scotland

UNITED KINGDOM

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Shaker Alkaraki

Assistant Professor

University of Nottingham

UNITED KINGDOM

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Edore Akpokodje

Lecturer

Aberystwyth University

UNITED KINGDOM

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Syeda Fizzah Jilani

Research Interests

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About

Articles (17)

Urbanization and Its Environmental Impact in Ceredigion County, Wales: A 20-Year Remote Sensing and GIS-Based Assessment (2003–2023)

MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction

Enhanced U-Net++ for Improved Semantic Segmentation in Landslide Detection

Low–Cost 3D–Printed Standard Gain Horn Antennas for Millimetre–Wave Applications

Enhanced Learning Enriched Features Mechanism Using Deep Convolutional Neural Network for Image Denoising and Super-Resolution

Coupling Remote Sensing Insights With Vegetation Dynamics and to Analyze NO2 Concentrations: A Google Earth Engine-Driven Investigation

BREAST LESION SEGMENTATION AND CLASSIFICATION USING U-NET SALIENCY ESTIMATION AND EXPLAINABLE RESIDUAL CONVOLUTIONAL NEURAL NETWORK

Exploring the Influence of Tropical Cyclones on Regional Air Quality Using Multimodal Deep Learning Techniques

Convolved Feature Vector Based Adaptive Fuzzy Filter for Image De-Noising

EMS: Efficient Monitoring System to Detect Non-Cooperative Nodes in IoT-Based Vehicular Delay Tolerant Networks (VDTNs)

SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems

DAD-Net: Classification of Alzheimer’s Disease Using ADASYN Oversampling Technique and Optimized Neural Network

A Robust Deep Model for Classification of Peptic Ulcer and Other Digestive Tract Disorders Using Endoscopic Images

Generation of Controlled Synthetic Samples and Impact of Hyper-Tuning Parameters to Effectively Classify the Complex Structure of Overlapping Region

Incentive-Based Schema Using Game Theory in 5/6G Cellular Network for Sustainable Communication System

Predicting Divorce Prospect Using Ensemble Learning: Support Vector Machine, Linear Model, and Neural Network

Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT

Collaborators (5)

Muhammad Aslam

Manabu Tsukada

David Ndzi

Shaker Alkaraki

Edore Akpokodje

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