The detection and description of pathological voice are the most important applications of voice profiling. Currently, techniques like laryngostroboscopy or surgical microlarynoscopy are popularly used for the diagnosis of voice...
A non-invasive cum robust voice pathology detection and classification architecture is proposed in the current manuscript. In place of the conventional feature-based machine learning techniques, a new architecture is proposed...
The most important application of voice profiling is pathological voice detection. Parkinson's disease is a chronic neurological degenerative disease affecting the central nervous system responsible for essentially progressive...
India’s education sector is being impacted by COVID-19 in unprecedented ways. The pandemic is disrupting the traditional education system, affecting over 320 million students. This sector is trying to develop robust, innovative...
In the light of growing interest and usage of social networking sites, smartphones, and internet availability, this study aims to analyze the impact of social media marketing activities on the purchase intentions of the customer...
In this age, where cryptocurrencies are slowly creeping into the banking services and making a name for them, it is becoming crucially essential to figure out the security concerns when users make transactions. This paper...
The student habit of using the digital platforms can be used to compliment the traditional learning methods. Specifically, designed digital learning platform can support the learning with convenience of time, place, and pace....
From the Iranian green movement (2009) through the London riots (2011) and the recent anti-hijab protests in Iran, protest movements have been accompanied by considerable social media activity globally. Social media users have...
Technology drives many fields to improve the quality of items during the supply of the products. Despite proficient planning in the industrial system and the presence of sophisticated techniques, there may be some defective...
The successful prediction of the stocks’ future price would produce substantial profit to the investor. In this paper, we propose a framework with the help of various technical indicators of the stock market to predict the...
The article tried to develop a multi-item scale for analyzing CRM effectiveness (CRME) from the customer perspective in the Indian stock broking context. The results revealed that customer satisfaction could be improved through...
Vehicle suspension system plays a vital role in diminishing the vibration caused by the road roughness and prevent it from transmitting to the driver and the passenger. The semi-active suspensions contain spring and damping...
The academic institutions are focusing more on improving the performance of students using various data mining techniques. Prediction models are designed to predict the performance of students at a very early stage so that...
The focus of most of the existing studies on technostress is with regard to working professionals. In spite of the explosion of digital device use in education, not many studies have identified its effects on students. This...
The focus of automobile industry is towards producing efficient driverless cars that are risk free and with zero tolerance to safety violations thereby following in the footsteps of autonomous robots. In this study, the author...
The paper develops an order quantity model with trade credit plus shortages under learning effects for deteriorating imperfect quality products. Generally, when the lot has imperfect items, the inspection of a lot is necessary...
The "Real" decision often varies from the "Rational" decision. The Real or the actual behaviour of people is quite often biased and differs from the rational decision framework which has been put in place by classical economics....
Due to ambiguity in the market orientation and performance relationship, the basic aim of the study to investigate the nature of relationship exists between market orientation and performance of the manufacturing SMEs in India....
A news recommendation system not only must recommend the latest, trending and personalized news to the users but also give opportunity to know about the people’s opinion on trending news. Most of the existing news recommendation...
Electroencephalogram (EEG) signals are progressively growing data widely known as biomedical big data, which is applied in biomedical and healthcare research. The measurement and processing of EEG signal result in the...
During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most developed countries to a...