This research work focus on level control in quadruple tank systems based on proposed
Deep Neural Fuzzy based Fractional Order Proportional Integral Derivative (DN-FFOPID) …

With a high mortality rate worldwide, Chronic Lymphocytic Leukemia (CLL) poses a serious
health risk. Radiologists view the ability to detect blood tumor cells as both important and …

Image dehazing is frequently used as a preprocessing step to enhance image clarity in
various computer vision tasks, such as object tracking, intelligent surveillance and face …

Most people are losing their lives each year as a result of vehicle accidents caused by
sleepy drivers. A device that can identify tiredness and notify the driver to it is necessary to …

The most serious disease that affect the women worldwide is breast cancer. Early
identification of breast cancer contributes to lower death rates. Through the process of …

The premier goal of this research is to develop the Fuzzy Deep Neural Sliding Mode
Fractional Order Proportional Integral Derivative (FDN-SM-FOPID) controller system for …

Deep learning based image resolution reconstruction has gained popularity recently. Using
sensors, underwater pictures are captured. Due to the water's exponential attenuation of the …

The most common challenge faced by dermoscopy images is the automatic detection of
lesion features. All the existing solutions focus on complex algorithms to provide accurate …

Whole-body MRIs are commonly used to screen for early signs of cancer. In addition to the
small size of tumours at onset, variations in individuals, tumour types, and MRI machines …

Skin detection is an essential step in many human–machine interaction systems such as e-
learning, security, communication… etc., it consists of extracting regions containing the skin …