Titlebook: Secondary Trauma; Silent Suffering and Robert W. Motta Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license t

半球

ning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence forService Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for In

清洗

Robert W. Motta 97%, 99.2%, and 98.0866% in Intersection over Union (IoU), Mean Average Precision (mAP), Precision, Recall, and F1-Score, respectively, across 2639 images. This approach is expected to assist educators and teachers in detecting and preventing cheating activities in examination rooms.

insular

Robert W. Mottaegrees between 0 to 1, which make the performance more comparable. The fuzzy degree of the system provide investor the suitability and profitability of strategies to make the trading decision. Experimental results demonstrate the consistency of correlation coefficients in both training set and testi

CLAY

n the sentence, which have a high attention score of question-sentence interaction, can be enriched with more question information for the final output of the extractive-span MRC task. The experiment on NewsQA, a benchmark dataset in this research field, indicates that the proposed method has signif

EPT

Mystic

Robert W. Mottatacit with reference to the Community. The survey activity is still limited to its conceptual measurement and has not yet led to implementation in the form of community learning where members can interact directly using text, images, videos and other forms. In addition to using two dimensions of mea

APO

Robert W. Mottand theoretical problems...The book is divided into five parts: (a) Sensor Clouds andInternet of Things, (b) Machine Learning and Decision Support Systems, (c) Computer Vision Techniques and Applications, (d) Intelligent Systems in Biomedicine, and (e) Applications of Intelligent Information Systems.

劇本

Robert W. Mottablem which arises in this domain is concerned with significant data savings, server load, detection quality, and again opens a space for further improvements, such as following research and testing. This element is part of the statistical analysis and it is called Hidden Markov Model, which is used

GUILT

Robert W. Mottaques are used in cybersecurity detection models with the aim of providing a holistic view of the current status of research in this area. In this paper, we proposed a framework that applied the principle of justifiable granularity (PJG) in the feature extraction module of a finger-vein recognition s

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