Volume 10 | Issue 12 |

 Abstract

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Butea monosperma, UV-visible spectroscopy, Fourier-transform infrared (FTIR) spectroscopy and Scanning Electron Microscopy (SEM),Silver nanoparticles, Anticancer activities, MCF 7 human breast cancer cell line,MTT assay.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Marital preparedness, Age, Gender, Young Adults

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Creative Commons Attribution 4.0 and The Open Definition

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The process of categorising facial photos or videos into specified age groups is known as age group classification. Due of its many applications, including in recruitment, security, health, and social robots with intelligence, it is a crucial task. Recently, Convolutional Neural Network (CNN) has demonstrated exceptional performance in interpreting photos and videos of human faces. This study suggested an All-Age Face (AAF) dataset-trained and evaluated age group classification task using CNN. In this study, a 128-d embedding that quantifies the face of the age group was computed using the FaceNet deep learning model, which makes use of CNN. Adolescence and Mature Adulthood were the two age ranges represented in the experiment. For the training photos, the proposed age group classification model had an accuracy of 84.90%, and for the test images, it had an accuracy of 85.12%. The experimental findings demonstrated that CNN can, even with an imbalanced data distribution, achieve competitive classification accuracy across two age groups in the AAF dataset.

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Creative Commons Attribution 4.0 and The Open Definition

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Convolutional Neural Network (CNN), imbalanced Data, All-Age-Face Dataset, Deembedding

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Creative Commons Attribution 4.0 and The Open Definition

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In order to predict rating value, a variety of supervised and unsupervised machine learning models are used to a dataset of Amazon product reviews in the following article. A "star" rating on a scale of 1 to 5 is the intended response to the input of a text review. This project might be characterised as a regression variation of sentiment analysis because we want to construct a continuum of sentiment rather than just polarity. Our objective is to create the most adaptable and precise model that can manage the broadest range of conflicting and polarising opinions presented in reviews .In addition to experimenting with various model types, we looked at the effects of seven distinct embeddings, each of which had unique built-in considerations for information like word index, directional significance, context, and frequency. These embeddings included simpler encoding alternatives like Bag of Words and TF-IDF, as well as pre-trained word embedding models like Naive Bayes and LSTM and embedding schemes generated from scratch. We trained three distinct deep learning networks that were more effective as well as supervised boosting models from Light GBM and CatBoost.

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Creative Commons Attribution 4.0 and The Open Definition

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Naive Bayes,CatBoost,LSTM,Bag of Words, Unsupervised Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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The movies in this recommendation are chosen using a content-based recommendation system. We have a dataset of the movies in the project. There are director, keyword, genres, cast, etc. in that dataset. A content-based recommendation engine will consider how much the user enjoyed the film. The next step is to analyse the input movie's content (a dataset), including its genres, director, keywords, and cast, to identify additional films with comparable results. It then evaluates comparable films according to its similarity score and suggests the film to consumers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Movie Recommendation, Similarity Score, Movies Dataset, Content-Based Search

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: The purpose of the present study is to assess the ICT-based competencies essential for teachers for using Information and Communication Technology (ICT) for instructional purposes. Related literature is reviewed to prepare a preliminary draft of 42 items. The survey research method is employed in this study. The questionnaire items are framed with inputs from experts in the field of educational technology. The Item pool is based on a four-point rating scale related to 3 main domains of teachers' ICT competencies namely, Technological ICT operations, Pedagogical ICT competencies, and Social and Ethical ICT practices. Later on, 12 items are deleted as per the open of experts. This tool is randomly administered to 100 Senior Secondary School Teachers of the U.P. board in the Saharanpur district. The data is collected and analyzed by contacting the represented samples of teachers from senior secondary schools. Item- analysis is done and 30 items are retained in the final draft. The reliability and validity of the tool are demonstrated by adequate psychometric analysis to measure teachers' ICT competency.

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Development and Validation, ICT and Competency, Factor Analysis, Senior Secondary School Teachers.

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Creative Commons Attribution 4.0 and The Open Definition

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The most popular method for administering different medications among all drug delivery systems is oral drug delivery. The aim of designing sustained delivery systems is to reduce the frequency of dosing or to increase the effectiveness of the drug by localizing at the site of action, reducing the dose necessary and providing uniform drug delivery. The most convenient and generally used method of drug delivery has always been oral ingestion .For oral Sustaine release dosage, matrix tablets are a key tool. By dispersing solid particles within a porous matrix made of hydrophilic and hydrophobic polymers, matrix tablets can be formed using wet granulation or direct compression techniques. Sustained release matrix tablets ensure consistent, prolonged drug release and increase drug bioavailability without causing unwanted side effects. The most crucial factor in the formulation of matrix tablets is now the availability of various classes of polymers for regulating the release of drugs.

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Creative Commons Attribution 4.0 and The Open Definition

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Sustained release drug delivery system, matrix tablet, Polymer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Energy, Security, Threats, the Baltic States, Russia

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Creative Commons Attribution 4.0 and The Open Definition

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Due to the Covid-19 outbreak, which demands individuals to put on face masks, preserve social distance, and use sanitizers to wash their hands, face mask detection has emerged as a widely used software. A crucial preventive measure throughout this pandemic is to wear a mask. This is critically valuable when fostering social distance from other individuals is hard. It is imperative to use a mask, especially for those who are more likely to get severe illness from COVID-19 infections. Consequently, the Organizations for Disease Control and Prevention (CDC) advised everyone aged 2 and older to wear a mask in public, notably when other social distance-keeping measures are difficult to maintain. The only ways to avoid contracting the virus until universal access to immunizations is through "distance" and "wearing a mask". This paper will aid in determining whether or not a person is wearing a mask by employing the same machine learning and artificial intelligence technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Analysis, Face Detection, Computer Vision, Open CV, Tensorflow

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Creative Commons Attribution 4.0 and The Open Definition