Magnetic resonance imaging is the most generally utilized methodology that permits radiologists to look inside cerebrum using radio waves and magnets for tumor identification. However, it tedious complex identify tumorous nontumorous regions due complexity in region. Therefore, reliable automatic segmentation prediction are necessary of brain tumors. This paper proposes a efficient neural network variant, i.e., an attention-based convolutional segmentation. Specifically, encoder part UNET...

Alzheimer's disease (AD) is a progressive and incurable neurodegenerative which destroys brain cells causes loss to patient's memory. Early detection can prevent the patient from further damage hence avoid permanent memory loss. In past few years, various automatic tools techniques have been proposed for diagnosis of AD. Several methods focus on fast, accurate, early minimize mental health. Although machine learning deep significantly improved medical imaging systems AD by providing...

Detecting low birth weight is crucial for early identification of at-risk pregnancies which are associated with significant neonatal and maternal morbidity mortality risks. This study presents an efficient interpretable framework unsupervised detection low, very extreme weights. While traditional approaches to managing class imbalance require labeled data, our explores the use learning detect anomalies indicative scenarios. method particularly valuable in contexts where data scarce or labels...

The prevalence of student dropout in academic settings is a serious issue that affects individuals and society as whole. Timely intervention support can be provided to such students if we get an accurate prediction performance. However, class imbalance data complexity education are major challenges for traditional predictive analytics. Our research focusses on utilising machine learning techniques predict performance while handling imbalanced datasets. To address the problem, employed both...

The manner in which people apologize differs widely among different cultures because these differences stem from societal pragmatic standards. research investigates within British and American English speaking populations regarding their apology expressions through analysis of "I'm sorry" "My bad." analyzes Brown Levinson’s (1987) theory Politeness Leech’s (2014) principles various social environments. A quantitative design was selected to gauge confirming 200 participants Britain America...

Brain tumor is the spread of abnormal cells in brain. Out several kinds brain gliomas most dangerous with low survival rate and difficult to detect manually due irregular form confusing boundaries. Magnetic Resonance Imaging widely used imaging modality that allows radiologist look inside by utilizing radio waves magnet but manual identification region tedious task. Therefore, a reliable automatic segmentation prediction necessary for prediction. However complexity unavailability resources...

Among Women, Breast cancer is one of the maximum occurring diseases. Many women die every year because breast globally. Early prediction and diagnosis this disease can prevent death in end. The survival rate increases on detecting early as better treatment be provided. Development necessary for life people. A higher amount accuracy aspects also survivability patients. It apparent that there are different techniques available detection but machine learning algorithms bring a large...

This research is performed for dealing with some of the important working capital management policies and efficiency regarding to manufacturing sector Pakistan. For this purpose data from 37 firms have been taken period 2009-2014. Data envelopment analysis (DEA) Tobit regression has achieve objective study. DEA results indicate that only fifteen companies require increase in inputs attain better output whereas six decrease input. However sixteen consistent their existing proportionate...

Hepatitis C is an ailment that causes inflammation of the liver and leads to serious damage. In previous research, accuracy model wasn't accurate but differences this paper made worked well for prediction disease. dataset, there are mainly four categories (Blood Donor, Suspected Blood Fibrosis, Cirrhosis) used labeled. Its data type polynomial with 0 missing values. The minimum value in category 7 suspect blood donors most 533 a donor. machine learning algorithms medical approaches...

The purpose of this study is to develop a reliable decision support system for predicting the survival heart failure patients. Over time, disease (CVD) has become one most visible diseases in world. major factors Heart are Sex, cholesterol, high blood pressure, stress, age, Exercise Angina, and Resting ECG. Many researchers have proposed several methods early diagnosis on bases these features. However, due hereditary critique life-threatening risks, it important improve accuracy techniques...

Diabetes Mellitus is a common issue all over the world. There are many cases of diabetes that recorded on daily bases. This chronic disease takes entire life patient to recover from his health. The doctor can save it only in early stages because if last stage, would be almost impossible for patients diabetes. system proposed provide best solution prediction So detects an stage. main purpose research go ahead and improve detection model doctors predict patient's efficiently. Many papers...

Agile development is conventional these days and with the passage of time software developers are rapidly moving from Waterfall to development. methods focus on delivering executable code quickly by increasing responsiveness companies while decreasing overhead consider people as strongest pillar As agile overshadows methodologies for development, it comes up some distinct challenges related testing such software. Our study going discuss this approach has stirred up. Some discussed in paper...

Melanoma is a skin lesion disease; it cancer that caused by uncontrolled growth in melanocytic tissues. Damaged cells can cause damage to nearby and consequently spreads other parts of the body. The aim this research early detection disease, many researchers have already struggled achieved success detecting melanoma with different values for their evaluation parameters, they used machine learning as well deep approaches, we applied approach detection, publicly available dataset...

Software testing is one of the important ways to ensure quality software. It found that cost more than 50% overall project cost. Effective and efficient software utilizes minimum resources Therefore, it construct procedure which not only able perform but also minimizes utilization resources. The goal find maximum defects in system. As world continuously moving toward data driven approach for making decision. this research paper we performed machine learning analysis on publicly available...

Diabetes is a chronic disease that occurs when the sugar level too high in body or doesn't make enough insulin and it impacts each individual of all age groups. It has captivating history increased significantly recent years as result urbanization affected millions people worldwide. Undiagnosed diabetes can cause many life-threatening diseases which usually lead to death person. So, early detection very vital maintain healthy life help prevent complications reduce patients' health risks....

Diabetes is a growing disease which has approximately affected 381 million people over the globe. Among diabetic patients, 30% of adult population diagnosed with Type 2 Mellitus (T2DM). Predicting T2DM at early stages can help avoid serious complications later stages. Data mining (DM) and machine learning (ML) based techniques are gaining popularity in diagnosis, reasons discovery, decision making. Various research studies using DM available literature to predict diabetes but there room...

A virtual team is a group of geographically distant people who work together to achieve shared goal for common organization. From the past few years this concept has been evolved and emerged idea global project management. Virtual teams have beneficial in cost reduction; hiring competent force improving globalization. Although are an organization; but they hard manage control successfully. There can be several challenges like cultural issues; different time zones communication gap. These not...

Effective utilization of limited intensive care unit (ICU) allocations is a challenging task for medical experts to save precious human lives. The prolonged ICU stay relatively secure patients and with low chances recovery can cause life-threatening effects on waiting accommodation. Machine learning-based techniques early prediction mortality help in this regard. This paper presents two models using the support vector machine (SVM) linear discriminant analysis. proposed use clinical data...

Functional Magnetic Resonance Imaging (FMRI) is a noninvasive test to analyze several medical ailments by using magnetic resonance imaging (MRI) detect the abnormalities in active part of brain and evaluate minute changes blood flow, which cannot otherwise be accomplished with other techniques. With its vast applications healthcare, it has become one most explored studies researcher's community, therefore, current paper aims address comprehensive systematic literature review (SLR)...