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

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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

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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

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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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Assessing Model Misspecification in Stochastic Linear Regression Analysis

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Assessing Model Misspecification in Stochastic Linear Regression Analysis/strong>
Authors:-Research Scholar Siddamsetty Upendra, Research Scholar R. Abbaiah

Abstract-This paper studies misspecification tests for stochastic linear regression models, including the Durbin-Watson test, Ramsey’s regression specification error test, Lagrange’s multiplier test, and UTTS’ rainbow test. Specification errors arise when there are deviations from the underlying assumptions of a stochastic linear regression model, impacting associated inferences. Specifically, errors may occur in specifying the error vector ( ) and the data matrix ( X ). Common causes of specification errors involve including irrelevant independent variables or excluding relevant ones in the stochastic linear regression model. Previous research by Ivan Krivy et al. (2000) presented two stochastic algorithms for estimating parameters in nonlinear regression models. In a 1984 paper, Russell Davidson et al. developed a computational procedure for a variety of model specification tests. Ludger Ruschendorf et al. (1993) constructed nonlinear regression representations of general stochastic processes, focusing on specific representations for Markov chains and certain m-dependent sequences. This study contributes to the understanding of misspecification in stochastic linear regression models, utilizing a range of tests to identify errors in model assumptions and parameter estimation. The insights gained from these tests can enhance the accuracy and reliability of regression model inferences.

DOI: 10.61137/ijsret.vol.10.issue6.432

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Low cost Journal under 500

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Finding a low cost journal under 500 is quite tough as many national or international journals have high charges. Scholar having financial issues seeks journals with low cost publication to publish their research work. Most of the time students lack finances to support their research and publication as they do not have other sources of income they tend to find for alternate options. Journal under 500 will be helpful for them in fulfilling their need and support them establishing a good career path.on time.

Submit Your Paper  / Check Publication Charges

This blog will help students and other academic or scientific researchers in finding good indexing low cost international journals to publish their research work. Before going further lets understand how a research paper should be written to get published in a low cost journal. Points related to it are specified below:

Low cost Journal under 500

  • Introduction – researchers should be clear of the objectives of the research and mention it briefly into the introduction part of the paper. It should cover all the main points going to be discussed in the paper.

  • Title and abstract – select a title that resonates with the subject of the research. One should avoid very long titles as it decreases the allure of the work.

  • Original and innovative – Research should be original and innovative. One should prepare genuine research and avoid copying from others. Plagiarism not only tarnish the reputation of the researchers but also ignite the

  • References – one should add references in progressive order which is relevant to the research studies. The sources used in the paper have to be authentic so that anyone can use them as per requirement.

If you are a student looking for low cost international journal to publish research work then visit www.ijsret.com. It is an international journal that provide open access to its database. Anyone interested in getting the research work can download the work without restrictions. Apart from that this journal does not ask for any charges related to manuscript formatting, as per number of pages, colour pages, and authors. They also give a certificate of publication free of cost. Just visit the journal’s website and explore it for perusal.

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Review on Performance Parameter of MOSFET and FinFET Transistor

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Review on Performance Parameter of MOSFET and FinFET Transistor/strong>
Authors:- Assistant Professor Madhvi Singh Bhanwar, Associate Professor Dr.Nidhi Tiwari, Professor Dr. Mukesh K Yadav

Abstract- In modern world technologies are grooming very fast day by day along with the world semiconductor industry the world of IC is also grooming and enhancing the technologies day by day as we know according to Moore’s law the number of transistors will be double on a chip in every eighteen months that means the size of components will be reducing day by day in the same way types of transistors were introduced like MOSFET and FinFET. FinFET replaced MOSFET, FinFET resolved all the challenges of MOSFET and helped in compact designing of electronic devices, FinFET is widely used in various modern electronic devices because of its structure, fast switching speed, low power consumption and less leakage current.

DOI: 10.61137/ijsret.vol.10.issue6.381

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Comprehensive Study of Mobile and Web Applications for on-Demand Services

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Comprehensive Study of Mobile and Web Applications for on-Demand Services/strong>
Authors:-Aditi Pradeep, Akshara Vijay, Jerom Jo Manthara, K S Abhishek, Jithy John

Abstract-With the rapid growth of digital solutions, on- demand service applications have emerged as valuable tools for addressing daily needs, such as home maintenance and freelancing tasks. This survey paper provides a comprehensive review of ten existing mobile and web-based applications designed to connect customers with service providers across a range of sectors. By examining each system’s features, user experience, and limitations, this study highlights the commonalities and distinct approaches used to facilitate service matching. Key findings reveal that, while these applications effectively streamline access to services, they often face challenges such as limited service categories, regional restrictions, and issues with pricing transparency and real-time availability. Through a comparative analysis, this paper identifies trends, limitations, and potential improvements for future on-demand service platforms.

DOI: 10.61137/ijsret.vol.10.issue6.430

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AI-Driven Vehicle Assistance Platform with Geolocation Services

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AI-Driven Vehicle Assistance Platform with Geolocation Services/strong>
Authors:-Rakesh Jaiswal, Kuldeep Yadav, Deepak Singh Purviya

Abstract-It often has brought inconveniences of unsafe situations and discomfort to its customers owing to vehicular breakdown. Typical roadside assistant applications that come out face problems such as high response times, small cover-up areas, and lack of real-time diagnostic capabilities among other problems. This research proposal intends to establish an innovative, web-based platform called Repair that has AI and LBS technologies integrated to provide real-time assistance for vehicles. The core feature of Repair is an AI-powered chatbot that can troubleshoot the most common vehicle issues independently. Advanced NLP techniques are applied to guide users through the diagnostic steps and provide solutions to problems such as flat tires, dead batteries, or other engine issues. When the problem exceeds the capabilities of the chatbot, the system uses Geolocation API technology to pinpoint the user’s exact location and dispatch the nearest available towing service. This seamless integration of AI and geospatial technology ensures faster response times, reducing user waiting periods and improving service efficiency.

DOI: 10.61137/ijsret.vol.10.issue6.429

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Ethnomycological Investigation and Domestication of Wild Edible Mushrooms from the Department of Bamboutos (West Cameroon)

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Ethnomycological Investigation and Domestication of Wild Edible Mushrooms from the Department of Bamboutos (West Cameroon)/strong>
Authors:-Kamgoue Ngamaleu Yves Bertin, Sumer Singh Rathore, Sudhanshu Mishra, Donkeng Voumo Sylvain meinrad, Prashakha Jyotiprakash Shula, Nanda Djomou Giresse Ledoux, Ladoh Yemeda Christelle Flora, Essouman Ebouel Pyrus Flavien, Wamba Fotso Oscar, Asseng Charles Carnot

Abstract-Food security remains one of the major problems in the world. Wild edible mushrooms constitute an important source of food due to their nutritional and medical values, as well as a source of income for populations. This study aims to domesticate wild edible mushrooms that grow in the Bamboutos department. An ethnomycological survey was conducted among 154 people through direct and semi-structured interviews in the 04 Districts and in 15 villages of the Department. The macroscopic identification of the different species was carried out in situ using identification keys. The domestication test was carried out in the laboratory, the species inoculated on PDA medium and transplanted onto cereal seeds then onto corn cobs in order to obtain seeds. The seeds obtained were tested on corncob and sawdust substrates with the use of two additives, wheat bran and corn bran.The different substrates composed of slaked lime, urea, fungicide and water. This work reveals that the largest percentage of respondents is made up of men (65%). Knowledge related to the edibility of mushrooms is mainly transmitted by family members (68%). The wild edible mushrooms collected (04 species) belong to the Lyophyllaceae family and the Termitomyces genus: Termitomyces letestui, T. striatus, T. aurantiacus and T. brunneopileatus. The seed production process was a complete success. The substrate made up of corn stalks and wheat bran presented the best weights at harvest (221,66±3,36 g , 89,24±3,74 g and 93,58±7,13g). However, the carpophores obtained from the harvested and cultivated species were undifferentiated.

DOI: 10.61137/ijsret.vol.10.issue6.428

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Structural Design and Analysis of Wind Turbine

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Structural Design and Analysis of Wind Turbine/strong>
Authors:- Md Fakhor Uddin

Abstract- This thesis presents a comprehensive exploration into the design, modeling, and analysis of a wind turbine, employing a multidisciplinary approach to optimize its performance. The blade geometry was generated using QBlade software, a robust tool for blade design in wind turbine applications. The 3D model was then meticulously crafted using SolidWorks, integrating aerodynamic principles and structural considerations. The heart of this project lies in the utilization of SolidWorks Flow Simulation for a detailed analysis of the aerodynamic characteristics of the designed wind turbine. The simulation facilitated a thorough examination of airflow patterns, turbulence effects, and pressure distributions around the blades, offering valuable insights into the efficiency and energy-capturing potential of the turbine under various wind conditions.

DOI: 10.61137/ijsret.vol.10.issue6.378

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