Titlebook: Machine Learning, Image Processing, Network Security and Data Sciences; Second International Arup Bhattacharjee,Samir Kr. Borgohain,Xiao-Zh

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An Automated Algorithm for Estimating Respiration Rate from PPG Signals, preprocessing, extremely low-frequency two-pole digital resonator, fast Fourier transform, spectral magnitude computation, prominent spectral peak identification and respiration rate computation. . The proposed RR estimation method is evaluated using standard PPG databases including MIMIC-II and Ca

偽造者

重力

Nutritional Status Prediction in Neonate Using Machine Learning Techniques: A Comparative Study,r building a peaceful society. This study has focused on prediction of nutritional status in neonate using the features of mother. The machine learning techniques namely Logistic Regression, Decision Tree, K-Nearest Neighbor, Linear Discriminant Analysis, Gaussian Na?ve Bayes and Support Vector Mach

extrovert

Handwritten Bengali Character Recognition Using Deep Convolution Neural Network,ng research. In our paper, we focus specifically on offline handwritten character recognition of regional language (Bengali) by first detecting individual characters. The principal approaches for offline handwritten character recognition may be divided into two classes, segmentation and holistic bas

DEFT

FILTH

Feature Selection Using PSO: A Multi Objective Approach,r better classification performance. Multi-objective optimization is applied in the fields where finest decisions need to be taken in presence of?trade-offs?between two or more differing objectives. Therefore, feature selection is considered as a multi-objective problem with conflicting measures lik

Ptosis

An Empirical Study to Predict Myocardial Infarction Using K-Means and Hierarchical Clustering,ed to heart disease is a challenging factor faced by doctors & hospitals. In this prediction, accuracy of the heart disease plays a vital role. From this concern, the authors have analyzed on a myocardial dataset to predict myocardial infarction using some popular Machine Learning algorithms K-Means

珍奇

A Robust Technique for End Point Detection Under Practical Environment,sing applications largely depends on accurate end point detection. In this paper, we try to address this important issue and proposed an algorithm to identify the speech boundary. The algorithm based on frame-wise pitch and energy estimation to detect the onset and the terminus of an utterance. The

合唱團

An Explainable Machine Learning Approach for Definition Extraction,y generation, glossary creation, and question answering. Definition Extraction is most commonly treated as a binary classification problem of definitional and non-definitional sentences. Traditional techniques for definition extraction involve rule-based approaches, which did not yield good results