A5064765807- Smart Agriculture and AI
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Online Learning and Analytics
- Hand Gesture Recognition Systems
- Radiomics and Machine Learning in Medical Imaging
- Medicinal Plant Extracts Effects
- Emotion and Mood Recognition
- Heavy metals in environment
- Machine Learning in Healthcare
- Infrared Thermography in Medicine
- Crop Yield and Soil Fertility
- Wheat and Barley Genetics and Pathology
- Heavy Metals in Plants
- Plant Stress Responses and Tolerance
- Leaf Properties and Growth Measurement
- Power Line Inspection Robots
- Artificial Intelligence in Healthcare
- High voltage insulation and dielectric phenomena
- Advanced Neural Network Applications
- AI in cancer detection
- Cassava research and cyanide
- Face and Expression Recognition
- Cannabis and Cannabinoid Research
- Muscle activation and electromyography studies
Hong Kong College of Technology
2025
University of the Punjab
2024
Swinburne University of Technology
2024
University of Gujrat
2024
University of Engineering and Technology Peshawar
2023
Information Technology University
2021
National University of Computer and Emerging Sciences
2019
American University of Sharjah
2019
Recent advances in artificial intelligence (AI), notably deep learning, have sparked widespread curiosity with bioinformatics, particularly the challenges presented by medical imaging. It's been really helpful enabling Computer Aided Diagnosis CAD system to provide precise outcomes. Nonetheless, it is still a difficult task identify breast cancer mammography images. The purpose of this effort lower False Positive Rate FPR and Negative FNR increase Matthews's correlation coefficient MCC...
Weeds are one of the most significant production challenges agro as they can significantly threaten yields and increase cost. In solving problem mentioned above, we designed an advanced version a transfer learning model for weed prediction using InceptionV3 architecture. The is equipped with rich features that have undergone training on ImageNet, then fine-tuned by classification layers, this time suitably tailored detection. proposed relies aggressive data augmentation techniques at...
Cardiovascular diseases (CD) are the common cause of death worldwide over in developed as well underdeveloped and developing countries. Early detection continuous supervision can reduce mortality rate. disease diagnosis accurate to enable early treatment. Some these techniques do not easily diagnose heart at stages hence, getting treatment late poses a big risk. The present work attempts better predict this from chest pain symptom, classify it by designing an efficient machine learning...
Human-Machine Interfaces (HMIs) must bridge human skills with machine control, notably in active prosthesis. Electromyography (EMG) is the most popular prosthesis actuation method. However, researchers need new HMIs for development. This research introduces Forcemyography (FMG) based HMI using force- sensitive resistors (FSRs) to capture myoelectric data. A particularly constructed case two integral parts—an internal and an exterior component—is FMG. FMG enclosure adapts effortlessly user's...
Wheat yield is affected severely by drought in this era of changing climate patterns, including high temperatures and altered precipitation patterns. Drought among the most challenging environmental stressors, limiting wheat cultivars' growth, productivity, performance. The current study was conducted during rabi season 2022 at Research Area, Department Agronomy, University Punjab, Lahore, Pakistan. Therefore, present evaluated potential diverse seed sizes to advance crop development, when...
The precise delineation of pests from crop foliage is a crucial stage in the field intelligent pest identification. This study presents novel cognitive segmentation methodology that aims to enhance accuracy and reliability this procedure. technique comprises number essential stages: To begin with, proposed method utilises sophisticated image block processing techniques partition into smaller, more manageable parts. Additionally, an adaptive learning utilised carefully choose initial cluster...
Every so often Humans utilize non-verbal gestures (e.g. facial expressions) to express certain information or emotions. Moreover, countless face are expressed throughout the day because of capabilities possessed by humans. However, channels these expression/emotions can be through activities, postures, behaviors & expressions. Extensive research unveiled that there exists a strong relationship between and emotions which has further investigated. An Automatic Facial Expression Recognition...