Ph.D. Research Ideas using Machine Learning
Robust prediction model for Nanosensor performance measure using Machine learning techniques
This is an interesting analysis idea with novelty in creating an efficient algorithm that measures the performance of so many nanosensors in the medical industry used for invasive testings for COVID-19. Machine learning algorithms such as random forest, decision tree algorithms are used to incorporate hybrid algorithms to measure the performance of the nanosensors.
Novel prediction model for Detection of Herbal plant disease using AI methods
The concept uses the live dataset of herbal plants that are used for so many ayurvedic treatments and used as raw material for medicines. the disease in such plants and spreading of the disease become evident on huge destroy of the plant hybrids. the proposed method uses the software model that captures the image of the herbal plants and detects the type of disease and root cause of the same. Novelty is produced through the IOT application and efficient usage of AI algorithms.
Low power FPGA architecture for neural Accelerators
Neural networks and machine learning become vital in any kind of software application and consumer software to improve the service better. usage of machine learning algorithms obviously needs a large space for processing. utilization of on-chip machine learning algorithms is interested in researchers. this proposed system derived from various literature studies to produce novel & Low power FPGA hardware-based Neural accelerators.
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