作者:
Qureshi, RukaiyyaHajare, ShitalVerma, Prateek
Sawangi Meghe Faculty of Engineering and Technology Department of Artificial Intelligence and Data Science Maharashtra Wardha442001 India
Sawangi Meghe Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha442001 India
This article explores the revolutionary role of Artificial Intelligence (AI) in personalized learning, focusing on its potential to revolutionize educational processes and improve learning outcomes. This paper provide...
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Breast cancer is a serious worldwide health concern, and advanced diagnostic tools are needed for an accurate and timely identification of the illness. In order to classify breast cancer through ultrasound pictures, t...
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In this paper, we present new techniques for increasing the diversity of red-teaming prompts generated by automated machinelearning-based methods, thereby enabling the discovery of more vulnerabilities in large langu...
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This paper introduces a centralized web platform for college event management, which uses dual-panel architecture (administrative and user) to streamline event registration, categorization, and personalized engagement...
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This research extends previous studies on the effects of climate change on agricultural yield predictions by integrating advanced machinelearning (ML) methods with real time environmental sensing data. It builds on t...
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A first-hand, low-profile, two-port planar inverted-F antenna is proposed for current 4G/5G sub-3 GHz hand-portable multiple-input and multiple-output (MIMO) applications. The design features a profile of about 5 mm a...
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A key difficulty of dealing with imbalanced datasets is that machinelearning models are trained to favor the majority class and therefore perform poorly when it comes to a minority class classification. In this paper...
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The Earth serves as a shared habitat not just for humans but also for an array of animal species and organisms. Throughout history, animals have played a crucial role in preserving the natural ecosystem balance and me...
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This paper introduces an automated grading system for mangoes, enhancing efficiency and accuracy compared to human-based methods. The system uses the Lion Assisted Firefly Algorithm (LA-FF) to extract the best feature...
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The current study focuses on how various machinelearning (ML) algorithms can be used in waste management and emphasizes the significance of intelligent technologies in addressing contemporary issues. By leading a bro...
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