Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have been widely used to deal with this issue. In general, financial ratios are one of the main inputs to develop the prediction models. This paper presents a hybrid financial analysis model including static and trend analys...

This paper proposes an automatic computer aided diagnostic system (CAD) for detection of liver diseases like hepatoma and hemangioma from Abdominal Computed tomography (CT) images. Liver and Lesion is segmented using gray level methods and clustering. Histogram analyzer is used to fix the threshold and morphological operation is used for post processing. Rules are applied to remove the obstacle...

This study explored the associations between physical activity (PA) anxiety levels, and perception of satisfaction basic psychological needs (BPN), during Coronavirus Disease 2019 (COVID-19) lockdown. Thus, 1,404 participants (977 women, 426 men, one respondent preferred not to answer) ranging from 18 89 years old (36.4 ± 11.7 year-old) completed a questionnaire in period 1st 15th April 2021. T...

Load forecasting is the technique for prediction of electrical load. In a deregulated market it is much need for a generating company to know about the market load demand for generating near to accurate power. If the generation is not sufficient to fulfil the demand, there would be problem of irregular supply and in case of excess generation the generating company will have to bear the loss. Ne...

Forecasting the industrial water demand accurately is crucial for sustainable water resource management. This study investigates industrial water demand forecasting by case-based reasoning (CBR) in an arid area, with a case study of Zhangye, China. We constructed a case base with 420 original cases of 28 cities in China, extracted six attributes of the industrial water demand, and employed a ba...

Images exist in different formats in real time applications. There is no prescribed format in which an image should be presented as input to any image processing algorithm. This article experiments a neural network approach to classify the noises present in an image given in BMP (Bitmap), JPG/JPEG(Joint Photographic Experts Group), TIF/TIFF(Tagged Image File Format), GIF(Graphics Interchange Fo...

The nonlinearity and uncertainty of the flood process are such that estimating or predicting required hydrologic data is often tremendous difficult. Consequently, this study employs a Back-Propagation Network (BPN) as the main structure in flood forecasting to learn and demonstrate the sophisticated nonlinear mapping relationship. However, sophisticated natural systems and highly changeable hyd...

This work presents a computer-aided system for the identification of plaques and atherosclerosis of carotid abnormalities and the individuals at risk of stroke. Intima Media Thickness (IMT) of carotid artery is the standard biomarker of subclinical atherosclerosis and plaques. Conventional IMT measurement by expert sonologist is time consuming, associated with subjectivity and the process becom...

3-Hydroxy-3-methylglutaryl-coenzyme A [HMG-CoA] reductase gene (Hmgcr) is a susceptibility gene for essential hypertension. Sequencing of the Hmgcr locus in genetically hypertensive BPH (blood pressure high), genetically hypotensive BPL (blood pressure low) and genetically normotensive BPN (blood pressure normal) mice yielded a number of single nucleotide polymorphisms (SNPs). BPH/BPL/BPN Hmgcr...