An effective approach for white matter, grey matter, and cerebrospinal fluid segmentation from 3D brain MRI
According to the World Alzheimer Report 2019, over 50 million people are living with dementia globally and it will increase to 152 million by 2050. Alzheimer's disease (AD) is a common type of dementia. One of the methods for Alzheimer's disease detection ...
Application of fuzzy logic on CT-scan images of COVID-19 patients
- Fariha Noor,
- Md. Rashad Tanjim,
- Muhammad Jawadur Rahim,
- Md. Naimul Islam Suvon,
- Faria Karim Porna,
- Shabbir Ahmed,
- Md. Abdullah Al Kaioum,
- Rashedur M. Rahman
Image processing is crucial in any image analysis to determine the problem. If it is a medical area, a suitable image processing method becomes even more imperative to get as accurate results as possible. Due to the widespread outbreak of coronavirus ...
Real-time long short-term glance-based fire detection using a CNN-LSTM neural network
Vision-based fire detection is widely studied recently to reduce the damage of fire disaster thanks to the advantages of software-based methods comparing to traditional hardware-based fire detection using sensors. This paper presents a novel method for ...
Performance evaluation of reformulated query for information retrieval using real estate ontology
The data over the internet is growing at an unprecedented rate daily. Hence efficient information retrieval has always been at stake. The scenario becomes more tedious in an e-government sector like real estate where fetching of legal documentation used ...
A novel index retrieval and query optimisation method for private information retrieval in location-based service application
Location-based service is a popular information and communications technology. Security, trust and privacy are the major concerns preventing the wide deployment of LBS. In this paper, we address privacy issues by employing computational private ...
The extended Kullback-Leibler divergence measure in the unknown probability density function cases and applications
The Kullback-Leibler divergence measure is used to evaluate the similarity between two probability distributions. In theory, the probability density functions are known before applying the formula. However, estimating this information of real data is ...