Fazal Ghaffar

Electrophysiological Substrate and Ablation Outcomes in Atrial Fibrillation With Hypertrophic Cardiomyopathy: A Propensity‐Matched Multicenter Study

Umair Abrar, Fazal Ghaffar, Muhammad Zuhaid, Huzaifa Bin Afzaal et autres

ABSTRACT Background Atrial fibrillation (AF) is the most common sustained arrhythmia in hypertrophic cardiomyopathy (HCM), yet the intracardiac electrophysiological substrate underlying recurrence following catheter ablation remains poorly characterized. We compared the atrial substrate and ablation outcomes between HCM‐AF patients and propensity‐score‐matched lone …

pk, sa, gb, uz, af (code pays fourni par la source)

DUO-Net: Joint End-to-End 2D Object Detection and Depth Estimation via Uncertainty-Aware Multitask Learning

Fazal Ghaffar, Burhan Khan, Seyed Mohammad Jafar Jalali, Chee Peng Lim

DUO-Net is proposed, a unified multi-task learning framework for joint 2D object detection and depth estimation. The architecture employs a shared ResNet-based backbone with attention modules and task-specific heads to simultaneously perform bounding box localisation and dense depth prediction. A two-stage training …

au (code pays fourni par la source)

Frequency of Silent Myocardial Ischemia in Diabetic Patients Presenting With Non-cardiac Complaints

Lakhveer Rathi, Mohammad Ibrahim Rasool, Orji Victor Ifunanya, Javeria Binte Khalid Jamil et autres

BACKGROUND: Silent myocardial ischemia (SMI) is a common but frequently overlooked manifestation of coronary artery disease in patients with diabetes mellitus, largely due to autonomic neuropathy and atypical symptom presentation. OBJECTIVE: To determine the frequency of SMI in diabetic patients presenting with …

ie, pk, Nigéria, gb, sa (code pays fourni par la source)

A lightweight CNN model for UAV-based image classification

Xinjie Deng, Michael M. Shi, Burhan Khan, Yit Hong Choo et autres

Abstract For many unmanned aerial vehicle (UAV)-based applications, especially those that need to operate with resource-limited edge networked devices in real-time, it is crucial to have a lightweight computing model for data processing and analysis. In this study, we focus on UAV-based …

au, cn (code pays fourni par la source)

Luminet: A Multi-Modal 3-Stream Feature Fusion Network for 3d Object Detection

Fazal Ghaffar, Burhan Khan, Chee Peng Lim

au (code pays fourni par la source)

Flood-Eye: Intelligent Segmentation and Area Estimation of Flooded Regions

Fazal Ghaffar, Xinjie Deng, Burhan Khan, Tao Zhou et autres

In this paper, we present Flood-Eye, an advanced framework for segmenting images intended for precise flood area estimation and segmentation. With its dual-pathway encoder, Flood-Eye is able to record contextual information at low resolution in addition to high-resolution details. To successfully integrate …

au (code pays fourni par la source)

Pixel-to-Pattern GAN for Unsupervised Industrial Anomaly Detection

Fazal Ghaffar, Burhan Khan, Xinjie Deng, Yit Hong Choo et autres

au (code pays fourni par la source)

The Impact of Financial Inclusion on Household Incomes in China: An Empirical Study

Fazal Ghaffar

Financial inclusion is considered one of the important determinants for improving the incomes of households. This research analysis is to estimate the impact of financial inclusion on household incomes in China. The data was obtained from China Household Financial Survey (CHFS) for …

cn (code pays fourni par la source)

A Lightweight Deep Learning Model for Aerial Image classification and Its Application to UAV-based Disaster Management

Deng Xinjie, Burhan Khan, Fazal Ghaffar, Yit Hong Choo et autres

Unmanned Aerial Vehicles (UAVs) play a pivotal role in disaster management and emergency response for ensuring safety of our society. In this respect, lightweight deep learning models are necessary for video and image processing onboard of UAVs for real-time applications. In this …

au, us, cn (code pays fourni par la source)

SimplestNet-Drone: An efficient and Accurate Object Detection Algorithm for Drone Aerial Image Analytics

Fazal Ghaffar, Seyed Mohammad Jafar Jalali, Burhan Khan, Chee Peng Lim et autres

Images captured by drones are extremely difficult to detect due to varying camera angles, distances, sizes, and environmental conditions, making it challenging to accurately detect an object from a height. Nonetheless, object detection plays a crucial role in computer vision and has …

au (code pays fourni par la source)

Detection of Left Ventricular Thrombi On Cardiac Magnetic Resonance Viability Studies

Donya Al‐Hassan, Khawaja Bilal Waheed, Muhammad Nasim Sharif, Muhammad Zia UlHassan et autres

OBJECTIVE: To highlight detection of left ventricular thrombi on cardiac magnetic resonance (CMR) viability studies. METHOD: This retrospective observational study was conducted in the Radiology Department at our Hospital in Dhahran, from April 2015-2019. All recently re-perfused (post-percutaneous coronary intervention/PCI) patients with …

sa (code pays fourni par la source)

A higher‐order unconditionally stable scheme for the solution of fractional diffusion equation

Fazal Ghaffar, Saif Ullah, Noor Badshah, Najeeb Alam Khan

In this paper, a higher‐order compact finite difference scheme with multigrid algorithm is applied for solving one‐dimensional time fractional diffusion equation. The second‐order derivative with respect to space is approximated by higher‐order compact difference scheme. Then, Grünwald–Letnikov approximation is used for the …

pk (code pays fourni par la source)