The neural activities of the brain can show abnormalities and misfiring due to seizures. The ionic activity of the brain can be converted into electrical activity, which can be observed on the human scalp using electroencephalography (EEG). The spatial patterns of brain activity…
Epileptic disorders are characterized by the misfiring of neurons and affect 50 million people worldwide, who have to live with physical challenges in their normal lives. The ionic activity of the brain can be detected as an electrical activity from the scalp using a non-invasive…
Spatial Modulation (SM) is a promising technique for future wireless communication systems, as it reduces hardware cost and complexity while maintaining good bit error rate (BER) performance in MIMO systems. However, in real-world scenarios, systems often face challenges like ant…
This paper presents a new spatial modulation framework for future wireless communication networks by combining Generalized Quadrature Spatial Modulation (GQSM) with improved Quasi-Orthogonal Space-Time Block Codes (QOSTBC). The proposed detection method employs channel-matched fi…
Wireless communication has revolutionized the evolution of humankind. The rapid growth and development of mobile communication has created an ecosystem better than what has been before. However, issues such as ample energy consumption and resulting carbon emissions, a lack of pro…
Overcoming gender disparity in access to kidney transplantation is a well-established universal challenge. The SRTR data showed a greater proportion of males than females for kidney transplant waitlists (61% vs 39%). Similarly, of 831 deceased donor kidney transplants (DDKT) cond…
Camcorder-based piracy is increasing nowadays because of the high quality of camcorder devices. The most affected industries are theatre and cinema. To defeat theatre piracy which causes huge loss to the motion picture industry of the world, here in this paper, a robust discrete…
Biomedical image processing is an emerging field, and is very useful for automatic disease diagnosis. Brain tumor classification is performed using image processing toolbox of MATLAB over here. For tumor classification: Image Preprocessing, Segmentation and feature Analysis are e…
In this paper, some shape based features like area, perimeter, roundness, standard deviation etc. are used to recognize different types of white blood cells like monocyte, lymphocytes, eosinophil, basophil, neutrophils etc. Using image processing techniques, result can be obtaine…
Main objective of this paper is to extract nucleus of white cells using image processing techniques.Here, nucleus of white cells are extracted from images using HSV color space and YCbCr color space. Using both of method, comparison between two methods has been checked. It has be…
In this era of increasing technological advancement, where mankind is pushing the frontiers of exploration, systems are required to be increasingly autonomous and intelligent in order to work efficiently, and to provide optimum results. Unmanned vehicles generally use GPS to find…
Background/Objectives: The objective of this paper is to study various segmentation methods implemented using MATLAB and to compare accuracy of each. Statistical Analysis/Findings: Preprocessing is required for better segmentation, as it removes noise and makes images having equa…
This paper discusses about methods for detection of leukemia. Various image processing techniques are used for identification of red blood cell and immature white cells. Different disease like anemia, leukemia, malaria, deficiency of vitamin B12, etc. can be diagnosed accordingly…
Since computer has been invented, people are using many devices to interact with computer and devices such as tablets, smart phones, etc. In the current age of technology, the user is expected to touch or non touch the machine interface to give input. Hand Gesture, where natural…
There are many methods proposed for Background Subtraction algorithm in past years. Background subtraction algorithm is widely used for real time moving object detection in video surveillance system. In this paper we have studied and implemented different types of methods used fo…