Volume 11 | Issue 4 |

 Abstract

Music is believed to be the language of emotions, and listening to music is an activity that is part of everyday living. These emotions are referred to as rasa (aesthetics) in ancient Sanskrit literature. Raga which is an important aspect of Indian Classical Music (ICM) has a close relationship with rasa or aesthetics. Lyrics or words in any language are a medium of expressing an emotion or rasa through it. Indian Classical Music has a rich history that captivates listeners and invokes emotions. The ability of music to elicit emotions has been integral to the aesthetics and reception of India's elite raga-based traditions. This model proposes an automated method to analyze and identify the emotion or the sentiment through the lyrics of a poem or song. This method will assist the music composer in composing melodies with the support of the raga framework to enhance the emotion or rasa of the song. This can also assist the music enthusiast to recognize the emotion of the song/poem by reading the lyrics. With the inherent ambiguity of Indian Classical Music, defining the emotions it evokes becomes far more challenging. Due to the nature of Creative interpretations, a single musical performance can elicit a wide range of emotional responses in the audience. One of the most challenging test cases is the categorization of emotions caused by ICM; yet, with significant advances in deep learning, this music emotion detection task is becoming more relevant and robust. Develop classifiers that use textual properties to automatically determine the presence of one or more emotions.

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 Keywords

Emotions Detection, Raga Recommendation, NLP, NLTK, CNN, Collaborative Filtering, Raga, Rasa, Hindustani Classical Music.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The majority of the population is significantly affected by brain tumours, which are a serious health risk. A primary brain tumour, which can be malignant or non-cancerous, affects 5 out of every 100,000 people each year. The prevention of the disease's progression and the improvement of patient outcomes can both be facilitated by early diagnosis of brain tumours. In this study, we provide a novel deep convolutional neural network (DCNN)-based method for the early diagnosis of brain tumours. The suggested approach entails pre-processing brain tumor-containing and tumor-free MRI scan pictures, followed by the use of DCNNs to automatically detect the existence of a tumour in the MRI data. The DCNNs have a 79% accuracy after being trained on the VGG16 and Inception V3 architectures. The technology streamlines the processes and human interventions necessary for diagnosis, thereby enhancing the effectiveness and efficiency of medical personnel and experts. The promise of DCNNs in the realm of medical imaging, particularly for the detection and management of brain tumours, is illustrated in this research.

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 Keywords

brain tumor, classification, transfer learning, deep neural networks, image recognition, medical imaging, convolutional neural networks, InceptionV3, VGG16.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present period of the slate revolution, faculties' part is largely grueling to make their higher secondary students meet global demands. Educational practices and educational strategies vary grounded on the need of the learners. Technology can be imperative for personalized instruction to bridge the gaps between tutoring and literacy. The preparation of the Tamil language is necessary for profitable growth and social metamorphosis. The Kothari Commission report asserts that if Tamil languages are inadequately tutored and poorly learned, it's a little further than burdening the mind with dead information. It could indeed deteriorate into new superstitions and Arts tutoring needs catching. To understand the real conception of Tamil languages, classical face-to-face tutoring styles may have to be supplemented by innovative styles. Developing e-content is arising to be an innovative system that could help the learners visualizes the content to make them creative and productive learners. The e-contents are developed with the integration of media factors similar to a textbook, audio, videotape, vitality, and image which are set to insure a better understanding of Art by higher secondary students. In that way, e-content on Tamil Prose was developed to chancing its impact on learners. 120 higher secondary students from both genders were taken as a sample. Results revealed that e-content has a positive impact on Tamil language learning among higher secondary students irrespective of gender.

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 Keywords

e-content, Tamil prose, higher secondary level, effectiveness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the past ten years, the demand for fast disintegrating tablets (FDTs) has grown steadily, and the field is now one of the fastest-growing segments of the pharmaceutical industry. For many medications, oral drug delivery is still the preferred method of administration. Scientists have created FDTs that are more patient-friendly and convenient as a result of recent technological advancements. These tablets dissolve or disintegrate in the mouth when placed there without the need of water to be added, making it simple to take in the active pharmaceutical ingredients. The formulation's acceptance and usefulness led to the creation of several FDT technologies. The various formulations and methods described in this review were created to facilitate the rapid dissolution/dispersion of tablets in the oral cavity. This review focuses on lyophilization, molding, sublimation, and compaction-based FDT technologies as well as methods for increasing the FDT features such spray-drying, moisture treatment, sintering, and the use of sugar-based disintegrants.

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 Keywords

Fast Disintegrating Tablets, Bioavailability, Humidity, Superdisintegrents, Fragmented

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mobile phones are used everywhere in this modern world. The technological advancement has made everything possible under one touch. By using the applications installed in the mobile phones the users can pay any bills and transact their money to anyone at their convenience. Increase in use of mobile phones and internet is the main reason for mobile wallet penetration. This study was carried out to find out the factors that affects consumers preference towards mobile wallet. Using a structured questionnaire primary data was collected from 120 respondents. The factor that affects consumer preference and Impact of demographic factors on consumer preference towards mobile wallet were also analysed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mobile wallet, Digital Payment, Consumer preference

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The corporate government sectors are developed in their different aspects in the organizational sectors. Several countries of the world can evaluate the efficacy of the development strategies of the organization. Social and environmental activities also face challenges in the society of the countries in the world. The methodological aspects can also evaluate the developmental aspects of the corporate government sectors. The empirical findings of the study indicate the productivity improvement of the banking system of the country. The systematic review has included the PICO question in order to assess the notions of the research. Other than that the PRISMA framework has been incorporated into the study for the core data extraction. CASP tool has been used in the process of quality appraisal.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corporate governance, regulatory framework, efficacy, government sectors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human emotions are not uniform, they are the result of internal and external events that occur around the person. Music lovers and consumers can value music as a great way for people to express themselves. With the development of technology, there are more and more musicians and more and more people who love music, which leads to competition for music selection. Music recommendations have been around for a while, but they were mostly created after learning about users' tastes over time. People's emotions are well studied and invested, which will lead to many applications .Available systems vary by genre, artist, etc. Includes automatic creation of music playlists based on Another way is to manually sort music files into playlists. Recent problems include frequency estimation and similar music calculations. The QBSH (Question Singing and Humming) system determines a song using its content (key and tempo). But the problem with this option is that they take a long time and don't necessarily make the customer happy .The proposed method yielded very good results and paved the way for further research in this area

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Emotion, Music, Technology ,Competition, Music Recommendation, Music Playlists, Frequency Estimation, CNN

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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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Re-entrant corner, varying angle, etab high rise building, seismic analysis, Response spectrum method

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Mughal women first stepped on the Indian soil back in 1501 when Emperor Babur left Samarkand along with a small band of Timurid-Mughal women to secure a home in Hindustan. Royal Mughal women were an important pillar to build and sustain the Mughal empire in India. Mughal women had an image of beautifully ornated ladies which have been portrayed in the paintings of their era. The status and role of women are often limited to one who stays behind the strong opaque walls of the harem and under the patriarchal protection of the ruler, limiting their contribution solely to the royal household. However, they lead many important spheres like economic patronage, charitable endowments, architecture, and especially trade which enable the Mughal Empire to sail smoothly. The sixteenth and the seventeenth century saw influx of trading activities with the increasing Indian Ocean trade. The Mughal emperors were fond of trade and commerce and participated actively in it. The emergence of trade by the royal ladies of the harem dates to Abkar's reign. Rulers like emperor Jahangir and Shah Jahan were great traders when they were princes. Mughal princesses also didn't stay back in the field. This paper traces and analyses the commercial activities led by the royal Mughal women focusing on Mariam-uz-Zamani, Nur Jahan, and Jahanara Begum. These Veiled traders with their contributions in architecture, poems, charity, writings, and commercial activities, especially trade, left their imprint despite being confined behind the secluded walls. Their lavish lifestyle led to the huge economic growth and developments in the Mughal empire.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Royal Mughal Women,Trade

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media is a channel of contact that uses the internet. Users can engage in conversations, exchange information, and produce content for the web using social media platforms. Most users access social media services through web-based technologies on PCs and laptops, or they download apps for their mobile devices that have social media capability. The fastest-growing social media site is Instagram. It was a success, with over a million users just two months after its debut. Consider how many brand-new goods and services you've discovered on Instagram thanks to friend recommendations or paid social media advertising.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Influencing, Instagram, Online Shopping, Online Shopping Influencing

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Creative Commons Attribution 4.0 and The Open Definition