A5050441398- Retinal Imaging and Analysis
- Embedded Systems Design Techniques
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
- Parallel Computing and Optimization Techniques
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Digital Filter Design and Implementation
- Advanced Adaptive Filtering Techniques
- Biometric Identification and Security
- Mobile Ad Hoc Networks
- Digital Imaging for Blood Diseases
- Wireless Networks and Protocols
- ECG Monitoring and Analysis
- Numerical Methods and Algorithms
- Advanced Wireless Network Optimization
- Military Defense Systems Analysis
- Interconnection Networks and Systems
- Opportunistic and Delay-Tolerant Networks
- Distributed and Parallel Computing Systems
- VLSI and FPGA Design Techniques
- Video Surveillance and Tracking Methods
- Imbalanced Data Classification Techniques
- Military Strategy and Technology
- Network Security and Intrusion Detection
Sir Syed University of Engineering and Technology
2022-2025
National University of Sciences and Technology
2014-2024
University of the Sciences
2007-2022
Rutgers, The State University of New Jersey
2022
Østfold University College
2022
Universidade Nova de Lisboa
2022
University of Coimbra
2022
National University of Medical Sciences
2003-2017
University of Engineering and Technology Taxila
2010-2017
Quaid-i-Azam University
2017
Plant disease analysis is one of the critical tasks in field agriculture. Automatic identification and classification plant diseases can be supportive to agriculture yield maximization. In this paper we compare performance several Machine Learning techniques for identifying classifying patterns from leaf images. A three-phase framework has been implemented purpose. First, image segmentation performed identify diseased regions. Then, features are extracted segmented regions using standard...
Mild cognitive impairment is a preclinical stage of Alzheimer's disease (AD). For effective treatment AD, it important to identify mild (MCI) patients who are at high risk developing AD over the course time. In this study, autoregressive modelling multiple heterogeneous predictors performed capture their evolution The models trained using three different arrangements longitudinal data. These then used estimate future biomarker readings individual test subjects. Finally, standard support...
Fluid (oil/gas/water) transportation systems present a significant challenge for pipeline health monitoring. With the development of smart devices capable micro-sensing, on-board processing, and wireless communication capabilities, sensor networks are able to facilitate online learning reliable event monitoring reporting distribution pipelines. This paper presents design, testing network (WSN) leak detection size estimation in long range system uses machine (WML) learn, make decisions report...
Electrocardiogram (ECG) is not only a vital sign of life but also contains important clinical information and even identical features. Similarly, ECG provides various significant characteristics to advocate its use as biometric system such uniqueness, permanence liveness detection etc. This research with the complete systematic approach based person identification for general population consists preprocessing signal noise reduction, feature extraction, selection classifier performance....
The goal of this study is to introduce a nonparametric technique for predicting conversion from Mild Cognitive impairment (MCI)-to-Alzheimer's disease (AD). Progression slowly progressing such as AD benefits the use longitudinal data; however, research till now limited due insufficient patient data and short follow-up time. A small dataset size invalidates estimation underlying progression model; hence, supervised method proposed. While depicting real-world setting, three years are employed...
Pipelines are one of the most widely used means for oil/gas and water transportation worldwide. These pipelines often subject to failures like erosion, sabotage theft, causing high financial, environmental health risks. Therefore, detecting leakages, estimating its size location is very important. Current pipeline monitoring systems needs be more automated, efficient accurate methods continuous inspection/reporting about faults. For this purpose, several pattern recognition data mining...
This article presents a novel methodology to detect insurance claim related frauds in the healthcare system using concepts of sequence mining and prediction. Fraud detection is non-trivial task due heterogeneous nature records. Fraudsters behave as normal patients with passage time keep on changing their way planting frauds; hence, there need develop fraud models. The generation not part previous researches which mostly focus amount based analysis or medication versus diseases sequential...
With the exponential rise in government and private health-supported schemes, number of fraudulent billing cases is also increasing. Detection transactions healthcare systems an exigent task due to intricate relationships among dynamic elements, including doctors, patients, services. Hence, introduce transparency health support programs, there a need develop intelligent fraud detection models for tracing loopholes existing procedures, so that medical can be accurately identified. Moreover,...
The most challenging aspect identified in this study revolves around effectively managing machine breakdowns to ensure uninterrupted production. This paper presents a real-time dynamic scheduling model that addresses the challenges of Flexible Job Shop Scheduling Problem (FJSSP) while considering occurrence random breakdowns. An improved hybrid metaheuristic and rule-based multi-strategy technique has been proposed regenerates an optimized schedule when is interrupted. establishes presence...
Retinal vessel segmentation is an essential step for the diagnoses of various eye diseases. An automated tool blood useful to specialists purpose patient screening and clinical study. Vascular pattern normally not visible in retinal images. In this paper, we present a method forenhancing, locating segmenting vessels images retina. We that uses 2-D Gabor wavelet sharpening filter enhance sharpen vascular respectively. This technique locates segments using edge detection algorithm...