Around the world, brain tumors are becoming leading cause of mortality. The inability to undertake a timely tumor diagnosis is primary this pandemic. Brain cancer crucial procedure that relies on expertise and experience doctor. Radiologists must use an automated classification model find cancers. current model's accuracy has be improved get suitable therapies. can consult various computer-aided diagnostic (CAD) models in literature medical imaging assist them with their patients. Previous...

Alzheimer's disease is an incurable neurological disorder that leads to a gradual decline in cognitive abilities, but early detection can significantly mitigate symptoms. The automatic diagnosis of more important due the shortage expert medical staff, because it reduces burden on staff and enhances results diagnosis. A detailed analysis specific brain tissues required accurately diagnose via segmented magnetic resonance imaging (MRI). Several studies have used traditional machine-learning...

Parkinson’s disease is the second-most common cause of death and disability as well most prevalent neurological disorder. In last 15 years, number cases PD has doubled. The accurate detection in early stages one challenging tasks to ensure individuals can continue live with little interference possible. Yet there are not enough trained neurologists around world detect its stages. Machine learning methods based on Artificial intelligence have acquired a lot popularity over past few decades...

Deep learning has significantly aided current advancements in artificial intelligence. techniques have outperformed more than typical machine approaches, various fields like Computer Vision, Natural Language Processing (NLP), Robotics Science, and Human-Computer Interaction (HCI). models are ineffective outlining their fundamental mechanism. That's the reason deep model mainly consider as Black-Box. To establish confidence responsibility, applications need to explain model's decision...

Abstract With easy access to social media platforms, spreading fake news has become a growing concern today. Classifying is essential, as it can help prevent its negative impact on individuals and society. In this regard, an end-to-end framework for detection developed by utilizing the power of adversarial training make model more robust resilient. The named "ANN: Adversarial News Net," emoticons have been extracted from datasets understand their meanings concerning news. This information...

Background: Environmental deterioration is the alarming situation that results from rapid urbanization and development. The rising temperature climate volatility are accounted for by massive carbon dioxide (CO2) emissions. research on climate-change mitigation trying to curtail situations before they become irreversible unmanageable. This study explores role of institutions in mitigating change moderating impact environmental quality risk. Methodology: Global data sets have been collected...

Color information is useless for distinguishing significant edges and features in numerous applications. In image processing, a gray discards much-unrequired data color image. The primary drawback of colour-to-grey conversion eliminating the visually pixels. A current proposal novel approach transforming an RGB into grayscale based on singular value decomposition (SVD). specific factor magnifies one channels (Red, Green, Blue). vector three values Blue) each pixel decomposed using SVD...

Osteoarthritis is a deteriorating joint disease affecting millions worldwide. chronic condition that develops over time due to wear and tears. The degeneration of cartilage the underlying cause osteoarthritis, resulting in bone-to-bone contact contributing stiffness, discomfort, restricted movement. People with osteoarthritis struggle perform simple tasks such as walking, standing, or climbing stairs. Moreover, can also psychological distress, including depression anxiety, pain disability...

The idea of a neutrosophic hypersoft set (NHSS) was coined by Smarandache in 2018 as generalization the soft set. This structure is hybrid with It can be valuable for dealing multi-attributes, multi-objective problems disjoint attributive values. Similarity measures (SM) play vital role measuring similarity index that how much things are similar. Different types were developed literature different fuzzy, intuitionistic, and theories. intended to merge theory propose help new proposed...

A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many are visually impaired due to DR. Primary cause of DR in patients is high blood sugar, and it vessels available the retinal cell. The recent advancement deep learning computer vision methods, their automation applications can recognize presence cells vessel images. Authors have proposed an attention-based hybrid model diabetes early stage prevent harmful clauses. Proposed methodology uses...

ABSTRACT The retina is an important part of the eye that aids in focusing light and visual recognition to brain. Hence, its damage causes vision loss human eye. Central serous retinopathy a common retinal disorder which detachment occurs at posterior pole retina. Therefore, detection CSR early stage with good accuracy can decrease rate recover normal conditions. In past, numerous manual techniques have been devised for detection; nevertheless, they demonstrated imprecision unreliability....

The retina is the most crucial part of human eye, and it can be affected due to hypertension. However, retinal abnormalities hypertension are termed hypertensive retinopathy (HR). A severe stage HR lead complete blindness if not diagnosed treated on time. Manually analyzing images for diagnosis time-consuming prone errors. This research article provides a novel technique based U-Net Dense-Net automatic detection grading through images. presented method consists preprocessing, vessel...

Men's fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing male partner in an infertile couple using a single threshold value to distinguish 'abnormal' 'normal' parameters. In semen process, rA©gime issues might affect morphology, quality, spermatozoa, also reduce risks due food regimen including glycemic content limited intake nutrients. Determination connotation between adjustable morphology is complex task...

Due to their vast size, the growing number of digital images found in personal archives and on websites has become unmanageable, making it challenging accurately retrieve from these large databases. While collections are popular due convenience, they often not equipped with proper indexing information, difficult for users find what need. One most significant challenges field computer vision multimedia is image annotation, which involves labeling descriptive keywords. However, computers do...

Decisive applications, such as control systems and aerial navigation, require a standby system to meet stringent safety, availability, reliability. The paper evaluates the reliability, other measures of effectiveness for two stochastic models in symmetrical way with varying demand: Model 1 (a two-unit cold system) 2 hot system). In 1, unit needs be activated before it may begin function; 2, is always operational unless fails. current study demonstrates that more expensive than under...

Virtual reality (VR) and immersive technology have emerged as powerful tools with numerous applications. VR creates a computer-generated simulation that immerses users in virtual environment, providing highly realistic interactive experience. This finds applications various fields, including gaming, healthcare, education, architecture, training simulations. Understanding user immersion levels is crucial challenging for optimizing the design of Immersion refers to extent which feel absorbed...

<abstract><p>There are millions of people suffering from thyroid disease all over the world. For cancer to be effectively treated and managed, a correct diagnosis is necessary. In this article, we suggest an innovative approach for diagnosing that combines adaptive synthetic sampling method with weighted average voting (WAV) ensemble two distinct super learners (SLs). Resampling techniques used in suggested methodology class imbalance datasets group SLs made up various base...

According to the International Diabetes Federation (IDF), roughly 33% of individuals affected by diabetes exhibit diagnoses encompassing diverse severity diabetic retinopathy. In year 2020, approximately 463 million adults within age bracket 20 79 were documented as sufferers on a global scale. Projections suggest rise 700 2045. Proposed automated retinopathy detection methods aim reduce ophthalmologist workload. The study presents Robust Fuzzy Local Information K-Means Clustering algorithm,...

This paper introduces a new four-parameter additive model, named xgamma-Burr XII distribution, by considering two competing risks: the former has xgamma distribution and latter Burr distribution. A graphical description of is presented, including plots probability density function, hazard rate reversed functions. The different shapes such as decreasing, unimodal, approximately symmetric decreasing-unimodal. main statistical properties proposed model are studied. unknown parameters,...