RESERCH ARTICLES
Permanent URI for this communityhttps://library.jivesna.com/handle/1/12263
Browse
7 results
Search Results
Item Open Access E-Learning platform for music instruments: Advantages and challenges(Galgotias University, 2022-07-31) Bharti, Harshita; Singh, Deepak; Malik, MedhaviWe’re living in the wоrk frоm hоme оr remоte wоrk erа аnd аll аre hоme bоund where everyоne wаnts tо leаrn new things whether it’s their lоst раssiоn оr their сuriоsity tо leаrn sо this study is based on the evolving advantages and challenges of e-learning рlаtfоrm thаt will be helрful in leаrning different musiс instruments аt their оwn соmfоrtаble рlасe. This study focuses on the depth knowledge of ease of e-learning in music sector. This study will enсоurаge the user tо leаrn аnd exсel in the music sector by the use of distance learning applications by sitting comfortably at their home or any other place. In аdditiоn, it focuses on the аdорtiоn оf e-Leаrning оutсоmes tо reduсe envirоnmentаl imрасt, with minimаl use оf mоbility аnd рарer use tо fасilitаte learning. It is imроrtаnt tо nоte the fасt thаt the attention is more given on the process more thаn оn the соntent оf eduсаtiоn. This change in the mode of learning has result in convenient, аs well аs the rарid develорment оf music education for students. In this regаrd, e- Leаrning is imроrtаnt in the field оf eduсаtiоn.Item Open Access COVID 19 EFFECT ON AUTOMOBILE SECTOR(Galgotias University, 2022-06-06) Srivastav, Sripal; Nadar, Paras SinghDuring the pandemic, this study examines the impact of the COVID-19 situation on India's automobile industry, as well as its effect on sales and market share. In order to conduct this study, researchers gathered data from various automobile-related websites, including the Ministry of Heavy Industry and Public Enterprises, the Ministry of Health and Family Welfare, and the Ministry of Automobile Industries and IBEF (India Brand Equity Foundation). During a pandemic, the study recommends that automobile companies take some measures to boost sales, such as lowering prices or offering additional incentives.Item Open Access Innovative Image Depixelizer using an Efficient Sub Pixel CNN(Galgotias University, 2023-06-06) Singh, Ankit; Chauhan, Vaishnavi; Rani, Sonia; Singh, BrijeshComputer vision faces challenges when reconstructing images. in the proposed idea, we tried an attempt to enhance image quality by providing guidance to a deep residual convolutional neural network using pre-existing datasets. Our method leverages an efficient sub-pixel convolutional neural network (ESPCNN) [1] algorithm to turn the low-resolution (LR) images into high-resolution (HR) or super-resolution (SR) images. The ESPCNN algorithm is designed to enhance and enlarge images, resulting in high-resolution images that retain the original data. We employ a convolutional recurrent neural network (CRNN) [2]approach to reconstruct high-resolution images from under-sampled data, which can be useful in applications such as medical imaging, satellite imagery, and surveillance systems. The method we proposed addresses some of the limitations of techniques that use convolutional neural networks, such as FSRCNN[3] and SRCNN[4]. Through research, we determine the validity of our proposed model.Item Open Access Smart Health Monitoring System – A Comparative Study(Galgotias University, 2022-07-31) Sonu Kumar, Jha; Sagar, Shrddha; Kumar, Rahul; Narayan, Udit-Coronary heart disease is the prime cause of death worldwide. In the field of human work, there is a lot of information available, and specialized techniques are used to process this information. One of the methods that is frequently used is handling or processing. The strategy anticipates a range of future events and cardiovascular issues. A previous cardiovascular disease prediction was made using this technique. For manageable IoT, a pulse sensor for observing pulses is used. Sensor readings are transferred into CSV-looking data via IFTTT, which are viewed on Google Sheets. To prepare, and test the treated datasets, facts were used to organize the datasets. The method uses a mechanism for information preparation to evaluate these criteria in stages. Artificial intelligence is used for computation and categorizing tasks. The dataset is initially dissected, examined, and filtered. The input is then analysed using Python programming and machine learning techniques, including KNN algorithms and XG boost outlying classifier approaches. In terms of accuracy, MLP (Multilayer promotion) showed higher results for detecting heart disease. The proposed system then showed its capability to predict past heart issues with high accuracy. Thanks to the suggested hardware and software solution, patients can anticipate cardiac sickness before it becomes serious enough. Because of this, mass screening programs will be more practical in areas lacking hospitals (i.e., rural areas).Item Open Access Housing Price Prediction Model Using Machine Learning Algorithm- Lasso Regression(Galgotias University, 2023-08-09) Kukreja, Sonia; Chauhan, Sajag; Mandal, Satyam; Prakash, Satya