The indispensability of lip reading has garnered paramount significance, propelled by the strides achieved in the realm of deep *** transformative paradigm shift not only heralds a commitment to enhanced communication...
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Efficient waste control is critical for India's smart cities. This study uses Convolutional Neural network (CNN) technology to classify and reveal waste, integrating sensors, Internet of Things (IoT) gadgets, and ...
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Creative work means doing work that has not been done or thought to date. It involves your logical and reasoning ability. It includes making creative efforts in sculpture, painting, sketching, etc. Creativity allows p...
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The Internet of Things (IoT) extends the reach of the Internet by allowing intelligent devices to discover and connect with the actual surroundings, as well as interact with other physical entities. Software Defined N...
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In today's competitive world, investigating students learning performance is the major component for accessing any educational systems, Predicting the students' performance in academics is a difficult task. In...
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ISBN:
(纸本)9798350349221
In today's competitive world, investigating students learning performance is the major component for accessing any educational systems, Predicting the students' performance in academics is a difficult task. In order to address this, researchers use the EDM (Educational Data Mining) technique to examine data from educational settings and enhance the educational system based on the collected data. This allows for a more accurate and comprehensive understanding of students' performance and helps them achieve better educational outcomes. Prediction of student performance in academics helps to analyze students community in better understandable and communicable with the wide range of socio demographic(age, gender, family, size, obesity, marital status of parents, occupation,),learning practices(school level), student related(stress and lifestyle) variables Numerous methods are employed to assess students' academic performance;however, the primary goal of this work is to build a prediction model through the application of machine learning techniques, such as logistic regression, K-Nearest Neighbor algorithm (KNN), and Support Vector Machine (SVM).Multiple approaches are used here to measure the performance of academics of students along with good prediction method based on accuracy. The predictive models offer valuable insights into the factors influencing academic success, allowing for the allocation of resources through social media and interventions more effectively. The prediction is a variable that helps to predict how many hours they spend on internet in some activities based on data collected. The result is a predictor variable that aids in forecasting academic achievement on the final exam of the semester (CGPA). The study identifies the lagged part of the studies and how it affect the education history in future. The results as the prediction have been increased which helps the institution and others in encouraging and help the students in different ways. The hea
Liver tumors rank as the third deadliest cancer globally and the sixth most prevalent disease worldwide. They primarily afflict individuals who frequently consume tobacco or alcohol. Approximately 75-85 percent of pri...
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The main elements of academic calendars, such as semester or quarter structures, course schedules, registration periods, exam periods, and holidays, are covered in the abstract. It examines how academic calendars can ...
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Opinion mining also termed sentiment analysis utilizing natural language processing (NLP), has become a significant research topic in recent years. It involves extracting and interpreting subjective data from textual ...
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The main objective of the project is to nurture the Environment and Human Health thereby minimizing the release of Air pollutants by monitoring the Atmospheric Content Composition through a Sensor-Integrated-IoT Model...
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Cardio Vascular Disease poses a substantial worldwide health problem, highlighting the urgent requirement for the development of precise and more efficient diagnostic techniques. Existing studies have provided useful ...
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