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Daily Archives: December 18, 2024

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Validation Testing of Digital Blood Pressure Monitoring Devices for the Upper Arm According to the ISO 81060-2:2018/ AMD 1:2020 Protocol

Validation Testing of Digital Blood Pressure Monitoring Devices for the Upper Arm According to the ISO 81060-2:2018/ AMD 1:2020 Protocol/strong>
Authors:- Saheb Singh, Deepak Sinha

Abstract- The purpose of the study was to ascertain the accuracy of blood pressure monitors commonly available in the market. Six devices were chosen including one professional BP monitor for home, clinical and hospital use, manufactured by Mann Electronics India Private Limited, Kota from the market. These devices did not have accessible validation testing results. The subjects for assessment were adults from the general population with varied age groups and sex. The objective was to establish whether the devices conform to the requirements of ISO 81060-2:2018/AMD1: 2020 protocol

DOI: 10.61137/ijsret.vol.10.issue6.384

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Educational Data Mining on University Management Information System for Measuring Performance of Students

Educational Data Mining on University Management Information System for Measuring Performance of Students/strong>
Authors:- Pankaj Shrimali, Dr. Tarun Shrimali

Abstract- Data mining techniques are used in the numerous industries alongwith the IT sector, Agriculture and education system. Massive technical advancements and opportunities from past decades change the approach and lifestyle of the people. Although data mining techniques are used in the several industries but it is new approach in the Academics. The education system has not greatly profit from the potential of data mining techniuqes. A substantial amount of information are required for the better performance of the students in the academics. There is a vast amount of data are available which can help to find the performance of the students. The role of the data mining technology is to find out the performance of students in academics, the factors also find out which affects the academic performance and also other issues like financial, family background etc. how it effects the performance, how semester wise results so that students aware about the performance and also gender wise how it affects.

DOI: 10.61137/ijsret.vol.10.issue6.383

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Multimodal Emotion Recognition Using BERT and ANN: A Hybrid Deep Learning Approach

Multimodal Emotion Recognition Using BERT and ANN: A Hybrid Deep Learning Approach/strong>
Authors:- Research Scholar Avasheen Shishir Temurkar, Professor Anuradha Purohit

Abstract- Emotion recognition plays a vital role in enhancing human-computer interaction systems by enabling empathetic and context-aware AI solutions. This study introduces a hybrid deep learning architecture that integrates BERT for extracting contextual text features and an Artificial Neural Network (ANN) for processing MFCC-based acoustic features. By combining textual and audio modalities, the proposed model effectively addresses the limitations of single-modality approaches. The model is evaluated on the USC-IEMOCAP dataset, encompassing six emotion categories: ‘Happy’, ‘Sad’, ‘Angry’, ‘Neutral’, ‘Frus- trated’, and ‘Excited’. It achieves competitive performance with a weighted F1-score of 0.91 and an accuracy of 86%, outperforming several state-of-the-art methods. The fusion of text and audio features enhances the model’s ability to capture subtle emotional nuances, demonstrating the potential of multimodal learning for robust emotion classification. This research underscores the value of hybrid architectures in advancing emotion recognition for real- world applications.

DOI: 10.61137/ijsret.vol.10.issue6.382

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The Role of Data Science in Business Intelligence: Use Cases and Implementation Challenges

The Role of Data Science in Business Intelligence: Use Cases and Implementation Challenges
Authors:-Priyanshu Tripathi

Abstract-Data Science has become a pivotal element in the evolution of modern Business Intelligence (BI), transforming the way organizations process and analyze vast amounts of data to uncover actionable insights. By leveraging advanced techniques such as machine learning, statistical modeling, and data visualization, businesses can enhance decision-making processes and gain a competitive edge. This report delves into the synergistic integration of Data Science within BI frameworks, illustrating its practical applications through diverse use cases including predictive analytics for forecasting trends, customer segmentation for personalized marketing strategies, and fraud detection to safeguard organizational integrity.While the potential benefits are immense, the implementation of Data Science in BI is not without its challenges. Key hurdles include ensuring data quality and consistency across sources, overcoming integration complexities with legacy systems, and addressing skill gaps in data literacy among employees. These challenges require strategic planning, investment in technology, and workforce training to be effectively mitigated.The report also explores emerging trends shaping the future of BI, such as the increasing adoption of artificial intelligence, real-time analytics, and the use of natural language processing for intuitive data interactions. Finally, it provides actionable recommendations for organizations to build robust and scalable BI strategies, emphasizing the importance of fostering a data-driven culture, prioritizing ethical data practices, and continuously evolving with technological advancements.

DOI: 10.61137/ijsret.vol.10.issue6.433

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