Different automated decision support systems based on artificial neural network (ANN) have been widely proposed for the detection of heart disease in previous studies. However, most these techniques focus preprocessing features only. In this paper, we both, i.e., refinement and elimination problems posed by predictive model, underfitting overfitting. By avoiding model from overfitting underfitting, it can show good performance both datasets, training data testing data. Inappropriate...

Pervasive usage and the development of social media networks have provided platform for fake news to spread fast among people. Fake often misleads people creates wrong society perceptions. The low‐quality in has negatively affected individuals society. In this study, we proposed an ensemble‐based deep learning model classify as or real using LIAR dataset. Due nature dataset attributes, two models were used. For textual attribute “statement,” Bi‐LSTM‐GRU‐dense was used, while remaining dense...

With the rapid increase in social networks and blogs, media services are increasingly being used by online communities to share their views experiences about a particular product, policy event. Due economic importance of these reviews, there is growing trend writing user reviews promote product. Nowadays, users prefer blogs review sites purchase products. Therefore, considered as an important source information Sentiment Analysis (SA) applications for decision making. In this work, we...

A series of eight bis(thiosemicarbazone) ligands and 16 their respective copper(II) zinc(II) complexes containing a combination hydrogen, methyl, pyridyl, phenyl, and/or ethyl substituents at the diimine position ligand backbone were synthesized characterized. The objective this study was to identify structure-activity relationships within analogues with different terminal N atom. Cu(II) Cu(GTSM2), Cu(GTSCM), Cu(PyTSM2), Cu(EMTSM2) Cu(PGTSM2) demonstrated distorted square planar geometry,...

Coughing is a common symptom of several respiratory diseases. The sound and type cough are useful features to consider when diagnosing disease. Respiratory infections pose significant risk human lives worldwide as well economic downturn, particularly in countries with limited therapeutic resources. In this study we reviewed the latest proposed technologies that were used control impact Artificial Intelligence (AI) promising technology aids data analysis prediction results, thereby ensuring...

The novel coronavirus (COVID-19) outbreak produced devastating effects on the global economy and health of entire communities. Although COVID-19 survival rate is high, number severe cases that result in death increasing daily. A timely prediction at-risk patients with precautionary measures expected to increase reduce fatality rate. This research provides a method for early identification patient’s outcome based patients’ characteristics monitored at home, while quarantine. study was...

The emergence and outbreak of the novel coronavirus (COVID-19) had a devasting effect on global health, economy, individuals’ daily lives. Timely diagnosis COVID-19 is crucial task, as it reduces risk pandemic spread, early treatment will save patients’ life. Due to time-consuming, complex nature, high false-negative rate gold-standard RT-PCR test used for COVID-19, need an additional method has increased. Studies have proved significance X-ray images COVID-19. dissemination deep-learning...

With the expansion of internet, a major threat has emerged involving spread malicious domains intended by attackers to perform illegal activities aiming target governments, violating privacy organizations, and even manipulating everyday users. Therefore, detecting these harmful is necessary combat growing network attacks. Machine Learning (ML) models have shown significant outcomes towards detection domains. However, “black box” nature complex ML obstructs their wide-ranging acceptance in...

One of the leading causes female infertility is PCOS, which a hormonal disorder affecting women childbearing age. The common symptoms PCOS include increased acne, irregular period, increase in body hair, and overweight. Early diagnosis essential to manage reduce associated health risks. Nonetheless, based on Rotterdam criteria, including high level androgen hormones, ovulation failure, polycystic ovaries ultrasound image (PCOM). At present, doctors radiologists manually perform PCOM...

Customer churn, a phenomenon that causes large financial losses when customers leave business, makes it difficult for modern organizations to retain customers. When dissatisfied find their present company's services inadequate, they frequently migrate another service provider. Machine learning and deep (ML/DL) approaches have already been used successfully identify customer churn. In some circumstances, however, ML/DL-based algorithms lacks in delivering promising results detecting client...

Abstract WO 3 has successfully been deposited on indium tin oxide (ITO) substrate via physical vapor deposition (PVD) technique, and X‐rays diffraction (XRD) confirmed the of a thin layer that is orthorhombic. The XRD linear sweep voltammetry (LSV) study film type semiconductor observed it to be an n‐type semiconductor. scanning electron microscopy (SEM) revealed uniform porous morphology film, particle size was measured 34 nm without annealing. Fourier transform infrared (FTIR) functional...

Abstract Of the many social media sites available, users prefer microblogging services such as Twitter to learn about product services, events, and political trends. is considered an important source of information in sentiment analysis applications. Supervised unsupervised machine learning‐based techniques for data have been investigated last few years, often resulting incorrect classification sentiments. In this paper, we focus on these issues present a unified framework classifying tweets...

Computer-based technologies play a central role in the dentistry field, as they present many methods for diagnosing and detecting various diseases, such periodontitis. The current study aimed to develop evaluate state-of-the-art object detection recognition techniques deep learning algorithms automatic of periodontal disease orthodontic patients using intraoral images. In this study, total 134 images were divided into training dataset (n = 107 [80%]) test 27 [20%]). Two Faster Region-based...

Recently, Cognitive-based Sentiment Analysis with emphasis on automatic detection of user behaviour, such as personality traits, based online social media text has gained a lot attention. However, most the existing works are conventional techniques, which not sufficient to get promising results. In this research work, we propose hybrid Deep Learning-based model, namely Convolutional Neural Network concatenated Long Short-Term Memory, show effectiveness proposed model for 8 important traits...

Nowadays due to technological revolution huge amount of data is generated in every fields including education as well. Extracting the useful insights from consequential a very critical task. Moreover, advancement deep learning techniques resulted effective prediction and analysis data. In our proposed study model be used for predicting student’s academic performance. Experiments were performed using two courses da-ta i.e., mathematics Portuguese course. The set contains demograph-ic, social,...

Due to the successful application of machine learning techniques in several fields, automated diagnosis system healthcare has been increasing at a high rate. The aim study is propose an skin cancer and triaging model explore impact integrating clinical features enhance outcomes achieved by literature study. We used ensemble‐learning framework, consisting EfficientNetB3 deep for lesion analysis Extreme Gradient Boosting (XGB) data. PAD‐UFES‐20 data set six unbalanced categories cancer. To...

Parkinson’s disease (PD) is one of the most common and serious neurological diseases. Impairments in voice have been reported to be early biomarkers disease. Hence, development PD diagnostic tool will help diagnosis Additionally, intelligent system developed for binary classification healthy controls can also exploited future as an instrument prodromal diagnosis. Notably, patients with rapid eye movement (REM) sleep behaviour disorder (RBD) represent a good model they develop high...

The worldwide demand for oil has been rising rapidly many decades, being the first indicator of economic development. Oil is extracted from underneath reservoirs found below land or ocean using wells. An offshore well an type where a wellbore drilled bed to obtain surface that demands more stability than other sensors wells generate massive amounts multivariate time-series data surveillance engineers analyze manually and have continuous insight into drilling operations. manual analysis...