Research Article
An Optimized KNN Classification Approach for Brain Tumor Prediction Using Order Statistic Techniques
Issue:
Volume 14, Issue 3, June 2026
Pages:
108-120
Received:
5 April 2026
Accepted:
20 April 2026
Published:
13 May 2026
Abstract: A tumor, otherwise called a neoplasm, are abnormal accumulations of tissues that can either be solid or filled with fluid. Lumps or growths known as tumors constitute clusters of abnormal cells, originating from any of the trillions of cells present throughout the body. The growth patterns and behaviors of tumors vary significantly, depending on whether their classification is cancerous (malignant), non-cancerous (benign) or precancerous. Medical imaging is a process that is widely used to produce images of the human body for both medical and research purposes. A significant focus in clinical research is the automated detection of tumors in the brain using Magnetic Resonance Imaging scans. Magnetic Resonance Imaging (MRI) is a sophisticated medical-imaging technology. It enables non-invasive visualization of the internal anatomy of the human body. Segmenting MRI images is vital for the detection of brain tumor. Complexities of tumor characteristics, such as shape and size, tumor-location, gray?level intensity, makes it challenging to classify segmented MRI scans into normal versus abnormal. Histogram Segmentation method, proposed in this study, is based on differentiating with order static filter. In post-processing, morphological techniques are practically employed to enhance the visibility of brain tumors. The K-Nearest Neighbors (KNN) classification method is then utilized to categorize tumor values into their respective categories, such as benign or malignant, based on the tumor's size. This approach helps patients and students to understand the tumor and helps physicians decide treatment based on the tumor’s size, shape, location and the type.
Abstract: A tumor, otherwise called a neoplasm, are abnormal accumulations of tissues that can either be solid or filled with fluid. Lumps or growths known as tumors constitute clusters of abnormal cells, originating from any of the trillions of cells present throughout the body. The growth patterns and behaviors of tumors vary significantly, depending on wh...
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Research Article
Effect of Binge-watching Behaviour on Mental Well-being, Loneliness, Sleep and Aggression Among Netflix Users
Issue:
Volume 14, Issue 3, June 2026
Pages:
121-130
Received:
12 March 2026
Accepted:
25 March 2026
Published:
3 July 2026
DOI:
10.11648/j.ijsts.20261403.12
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Views:
Abstract: Binge watching can also be called binge viewing, marathon viewing. Binge watching is basically watching television or other entertainment material for a long time at once. The main purpose of the research was to investigate the relationship between Binge watching, Sleep, Aggression, Loneliness and Mental welling due to the use social Netflix among the university students. It was hypothesized that there exists relationship between Binge watching, Sleep, Aggression, Loneliness and Mental welling. Pearson product-moment was used to check the relationship between variables. The sample comprised of 291 students from different universities of Pakistan. The age range of the sample is 18-25 with (M=24.81, SD=2.67). English version of the Binge-Watching scale Sleep, Aggression and Mental Wellbeing scale were used. Different analysis was applied which are Pearson correlation, regression, psychometric analysis and t-test. The correlational analysis shows that binge watching only significantly positively correlate with aggression while have negatively relationship with all other variables. Sleep has significant negative relationship with aggression. Aggression has strong negative relationship with mental wellbeing and weak negative relationship with aggression. Loneliness has strong significance relationship with mental well binge. T-test shows that there is no significant provincial differences between men and women. Since all their significant values were > 0.5.
Abstract: Binge watching can also be called binge viewing, marathon viewing. Binge watching is basically watching television or other entertainment material for a long time at once. The main purpose of the research was to investigate the relationship between Binge watching, Sleep, Aggression, Loneliness and Mental welling due to the use social Netflix among ...
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,
Swathi Pothala
