Negative emotional regulation is a defining element of psychological disorders. Our goal was to create machine-learning model classify disorders based on negative emotions. EEG brainwave dataset displaying positive, negative, and neutral However, emotions are responsible for health. In this paper, research focused solely state characteristics which the divide-and-conquer approach has been appli...

Abstract Receiver Operating Characteristic (ROC) curve analysis and area under the ROC (AUC) are commonly used performance measures in diagnostic systems. In this work, we assume a setting, where classifier is inferred from multivariate data to predict outcome for new cases. Cross-validation resampling method estimating prediction of on not inferring it. Tournament leave-pair-out (TLPO) cross-v...

A technique for recognising and labeling malignant brain tissues according to the types of tumours present is known as tumour classification. Magnetic resonance imaging (MRI) can be used in clinical settings both diagnose treat gliomas. For diagnosis treatment planning, ability correctly a from MRI images essential. Manual classification, however, not feasible timely manner due enormous volume ...

<span lang="EN-US">One way of communicating with the deaf is to speak sign language. The chief barrier little Indian language (ISL) research was diversity and variations in place. It essential learn communicate them. Most learning takes place peer groups. There are very few materials available for teaching signs. Thus, signing challenging learn. Fingerspelling first step used whenever the...

A Bayesian regularization-backpropagation neural network (BR-BPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. variation maximum normal and tangential pull-off forces resultant force angle at detachment with peeling angle. K-fold cross validation used improve effectiveness model. The input data taken from finite element (FE) results. trained 75% FE dataset. rema...

Hasil klasifikasi kanker payudara yang tidak tepat dan memiliki akurasi rendah berpotensi membahayakan nyawa pasien. Rasio split data training testing mempengaruhi klasifikasi. Pemilihan rasio dapat menurunkan model. Penelitian ini bertujuan menemukan komposisi terbaik untuk hasil baik. Metode digunakan adalah holdout k-fold cross validation. Algoritma dibandingkan SVM, Random Forest, Naïve Bay...

COVID-19 is not going anywhere and slowly becoming a part of our life. The World Health Organization declared it pandemic in 2020, has affected all us many ways. Several deep learning techniques have been developed to detect from Chest X-Ray images. infection severity scoring can aid establishing the optimum course treatment care for positive patient, as patients do require special medical atte...

Given the difficulty and effort required to confirm candidate causal SNPs detected in genome-wide association studies (GWAS), there is no practical way to definitively filter false positives. Recent advances in algorithmics and statistics have enabled repeated exhaustive search for bivariate features in a practical amount of time using standard computational resources, allowing us to use cross-...