Tag: Machine learning

A Brief Overview on Artificial Intelligence in Dentistry

Artificial intelligence has altered the health care system accompanying its big application in various fields of cure. AI has many subfields, of which machine intelligence has the major contribution in reconstructing the delivery of health management to the population.Medical AI has taken spotlight in modern research. Medical AI uses...
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Machine Learning for Industrial Internet of Things

Machine learning is immediately a popular practise in a difference of fields and has permeated our daily lives. These approaches have happened used in miscellaneous fields, and their use is constantly increasing. These methods are particularly main for supporting Industry 4.0 and IoT positions. Many of the algorithmic findings,...
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Fruit Recognition Using Deep Learning Approach

Using the notion of deep learning, the research aims to construct a model for the identification and categorization of fruits. The idea is to use convolutional neural networks to construct an automated feature extraction method. Fruit recognition is utilised in a variety of agricultural applications, including robot harvesting and...
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Improved Hoeffding’s Lemma and Hoeffding’s Tail Bounds: A Recent Study

This chapter aims to enhance Hoeffding’s lemma and, as a result, Hoeffding’s tail limits. To begin, we’ll offer Hoeffding’s lemma with a proof that differs from the original, and then show and prove the better Hoeffding’s lemma. The enhancement is for left skewed zero mean random variables X[a,b], with...
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Role of Artificial Intelligence in Pest Management

According to the Food and Agriculture Organization [1,2], agricultural pests cost 20-40% loss of worldwide crop output each year. Pesticides used in excess to control pests cause serious difficulties. Farmers may use artificial intelligence (AI) approaches combined with contemporary information and communication technologies to manage these hazardous insect pests...
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Study on Difficulty-Level Classification for English Writings

 This study extracts eleven types of attributes from English text data in order to classify English text by learning and categorization level of difficulty. Text is submitted to machine learning and categorization using the “leave-one-out cross-validation” method. E-books have recently become more popular. The process of manually categorising all...
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