Analysing the Classification of Rice Leaf Diseases on the Basis of Deep Convolutional Neural Network Architectures
In the field of farming, timely investigation and acknowledgment of plant leaf diseases assures extreme crop quality and yield. Due to a lack of knowledge about ultimate cutting-edge advanced approaches in the field of leaf disease discovery, one of the largest impediments for rice peasants is the identification of...
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Efficient and Affordable Vacation Planning: A K-Nearest Neighbors Approach
Taking an sporadic recreational vacation is essential for many things, as it provides a much-wanted break for both the party and mind from the pressures of daily existence. However, the high cost of vacationing, two together internationally and locally, averts many from affording a break. This leads to many...
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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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Attendance Capturing and Consolidation Mechanism Using Image Processing and Machine Learning Technique
Microwave ovens had a crucial role in the twentieth century. This frequency also sees a lot of application development. Microwave tube advancements have aided numerous growths in the recent past. Based on the RF field phase velocity, microwave tubes can be classed as slow-wave or fast-wave devices. A high-power...
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Dynamic Analysis Based Mobile Malware Classification Using Supervised Machine Learning Methods
In this modern era, the rapid expansion of android applications and mobile users has resulted in a significant surge in cyber attacks via mobile phones. Mobile malware attacks are one of the most common cyber attacks detected among Android users during the Pandemic period, with intrusions of adware, spyware,...
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