A5024400208- Vehicular Ad Hoc Networks (VANETs)
- IoT and Edge/Fog Computing
- Traffic Prediction and Management Techniques
- Data Mining Algorithms and Applications
- Digital Imaging for Blood Diseases
- Biometric Identification and Security
- Mind wandering and attention
- Blockchain Technology Applications and Security
- Retinal Imaging and Analysis
- Human Mobility and Location-Based Analysis
- Robotics and Automated Systems
- Autonomous Vehicle Technology and Safety
- Network Security and Intrusion Detection
- Opportunistic and Delay-Tolerant Networks
- Retinal Diseases and Treatments
- Hate Speech and Cyberbullying Detection
- Perfectionism, Procrastination, Anxiety Studies
- Internet Traffic Analysis and Secure E-voting
- Advanced Neural Network Applications
- Data Stream Mining Techniques
- Video Surveillance and Tracking Methods
- Machine Learning and Data Classification
- Customer churn and segmentation
- User Authentication and Security Systems
- Smart Agriculture and AI
University of Education
2014-2023
University of Okara
2016-2023
Diabetic Retinopathy (DR) is a predominant cause of visual impairment and loss. Approximately 285 million worldwide population affected with diabetes, one-third these patients have symptoms DR. Specifically, it tends to affect the 20 years or more but can be reduced by early detection proper treatment. Diagnosis DR using manual methods time-consuming expensive task which involves trained ophthalmologists observe evaluate digital fundus images retina. This study aims systematically find...
The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. To avoid collision pedestrians, the vehicle requires ability to communicate pedestrian understand their actions. most challenging task in research on computer vision detect activities, at nighttime. Advanced Driver-Assistance Systems (ADAS) has been developed for and parking support visualize sense, send receive information from environment but...
Humans are blessed with the intelligence to create links, develop semantic metaphors and models for reasoning; construct rules decision making; form bounded loops interaction, socialization knowledge sharing. But machines inadequate these extraordinary abilities rather, numerous algorithms mathematical can be used connect physical resources cyberspaces control objects and, cognitive learning optimal making. Connected users devices in closed virtual proximity give direction towards plethora...
Abstract Historically, the vehicle has just been a component of human ambulatory system and slave to commands driving force. However, recent advancement in technologies such as 5G wireless systems, cloud/edge computing, machine learning, artificial intelligence, deep learning have opened new paradigm Cognitive Internet Vehicles (CIoV). The network heterogeneous intelligent vehicles, not only having social interaction capabilities but also ability visualize, capture, disseminate information...
Agricultural research has strengthened the optimized economical profit, internationally and is very vast important field to gain more benefits. However, it can be enhanced by use of different technological resources, tool, procedures. Today, term data mining [1][2] an interdisciplinary process analyzing, processing evaluating real-world datasets prediction on basis findings. Our case-based analysis provides empirical evidence that we classification algorithms classify dataset agricultural...
Democracy is vital and powerful political source in major countries for the established development of democracy, elections are being practiced. Pakistan a democratic country still practicing manual expensive methods election. That causes slow procedure, bogus entries, counting errors, misuse ballot papers, serious security, accessibility, reliability faults. However, technology has significant role to prevent mitigate such kind challenging states provide efficient, secure, accurate fastest...
The Online Shopping Experience has opened the new ways of business and shopping. Now traditional terms shopping have been changed to shop online emerge into customers' behaviors preferences. Extracting interesting patterns from ever increasing data is not a trivial task. We need intelligent association rule mining available data; that can be practically knowledgeable for retail stores, so they make viable decisions. This paper will help understand importance techniques, i.e., rules,...
Students using a Learning Management System (LMS) as learning support have been observed to demonstrate different behaviours. Studies reported students exhibiting procrastination tendencies, distinct social behaviours and system usage patterns. can be clustered together based on similarity in their The K-means clustering algorithm is simple effective way group with similar authors use this novel way. It applied two phases an unlabelled dataset obtained from LMS course logs. In the first...