Aiming at the main problems of the traditional C++ course teaching, in this paper, a C++ teaching innovation model based on the concept of the Outcome-Based Education (OBE) and the integration of the ACM competition a...
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In this work, we address the strategic placement and optimal sizing of electric vehicle charging stations for cities as well as highway traffic to minimize overall cost. We formulate the problem as a Mixed Integer Lin...
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Heart disease is a leading global cause of death, highlighting the need for accurate and efficient risk assessment methods. Traditional models often fail to address the uncertainty and vagueness in medical data. A Fuz...
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Plant diseases play a significant role in damaging crop production and food security. Detecting and diagnosing plant diseases in the early stages obtains better management of diseases. Many plants are affected by thes...
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Spam emails, commonly known as junk emails, are unsolicited messages sent in bulk to numerous recipients. These messages typically inundate email inboxes and can range from annoying promotional content to potentially ...
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Aquaculture is being used to a greater extent for conservation goals, such as species recovery, habitat restoration, and mitigating the effects of wild capture on harvested species that are vulnerable. Deep Learning (...
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Surface defect detection technology is a vital component of the steel industry that has garnered significant attention from the academic community in recent times. While modern methods with deep learning-based object ...
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Over the Internet, an efficient approach and promising solution to retrieve significant information envisages the beginning of Question Answering Systems (QAS). Because of data sources availability, the deep learning ...
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With the increasing scrutiny of Bitcoin and other cryptocurrencies in recent years, there is a growing significance in studying methods to predict their values, including sentiment analysis on Twitter-collected data. ...
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TamilCogniBERT is a ground-breaking initiative that uses cutting-edge natural language processing methods to improve comprehension of the Tamil language. The research uses a leading deep learning model called BERT (Bi...
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