Precision agriculture methodologies, which integrate digitalization and automation, are driving a revolution in agriculture through the use of computer vision technology. This intelligent agriculture could also addres...
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E-learning is one of the educational alternatives available to students who need assistance during an emergency. (e.g., Covid-19 pandemic, bad climate, etc.). Most educational institutions are moving a significant por...
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ISBN:
(纸本)9783031519789;9783031519796
E-learning is one of the educational alternatives available to students who need assistance during an emergency. (e.g., Covid-19 pandemic, bad climate, etc.). Most educational institutions are moving a significant portion of their curriculum toward an online learning paradigm to reduce the amount of face-to-face interaction between students and faculty members during times of emergency (e.g., in the case of Covid-19 pandemic). The success of E-learning is conditional on a wide range of aspects, such as students' and teachers' levels of self-efficacy, attitudes toward, and confidence in making use of the relevant technology;the instructional approaches that are utilized;the capacity to monitor and evaluate educational outcomes;and students' levels of motivation. The performance and circumstances of students who are engaged in e-learning are analyzed in this paper. The research investigates and evaluates predictions made by a model that is based onmachinelearning techniques. Predicting the degree to which students are delighted with the online mode of instruction by considering several parameters, including internet capability, and involvement in the online mode of instruction.
This research focuses on implementing machinelearning in optimizing parameters and controlling power electronic systems and suggests a fusion optimization technique using neural network and genetic algorithm. Initial...
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The conversion process of one specific language to another either in a completely automatic manner or with considerable amount of human intervention by preserving the original meaning of the input source text is known...
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This paper proposes creative solutions to address security issues in federated learning, particularly regarding malicious nodes and confidentiality protection for the global model. It employs recently created cryptogr...
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Artificial intelligence technology has been widely used in the legal system in recent years. Compared to human judges, artificial intelligence is more unbiased, competent, and efficient when used for judicial purposes...
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Intravenous cannulation is the most important phase in medical practices. With limited literature available in this field of health care, this project encompasses the development of a comprehensive solution, combining...
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The fast development in the use of computer networks raises concerns about network availability, integrity, and confidentiality. This requires network managers to use various types of intrusion detection systems (IDS)...
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In distributed machinelearning, Federated learning (FL) has become a game-changing paradigm that allows for cooperative model training while protecting data privacy and taking regulatory compliance into account and w...
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This survey explores the transformative role of machinelearning in addressing the pervasive threat of ocean acidification on marine ecosystems. Focusing on its predictive capabilities, the paper examines machine lear...
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