The paper aims to model and simulate an assembly composed of 12 photovoltaic panels, each with a nominal power of 250W in order to power a consumer. Starting from the monitoring of the parameters of temperature and so...
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Best-performing speech models are trained on large amounts of data in the language they are meant to work for. However, most languages have sparse data, making training models challenging. This shortage of data is eve...
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The purpose of this article is to provide an overview of research on the analysis and interpretation of electroencephalographic (EEG) signals, using automated artificial intelligence (AI) applications based on data mi...
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In this paper, we proposed a genetic algorithm based on behavioral psychology developed by Carl Gustav Jung (16 Personalities model), in which we describe the person’s behavioral leisure and ludic behavioral features...
In this paper, we proposed a genetic algorithm based on behavioral psychology developed by Carl Gustav Jung (16 Personalities model), in which we describe the person’s behavioral leisure and ludic behavioral features regarding his personality. The model used for inference is based on 40 years of psychology research and studies from the book “The 16 Personalities types that determinate how we live, love and work” by Otto Kroger and Janet M. Thuesen, published in 1988. To generate the leisure model, we are using genetic algorithms. To improve the leisure model, we are reinforcing it using weight-based fitness functions with inference extracted from the HappyDB dataset. In this dataset, persons around the world express the most valuable/happy moments in their life. The leisure model describes how they would prefer spending their time and how this will bring the most enjoyment and reward (human reward psychological model).
The identification and management of pest infestations in a timely manner have been an ever-pressing issue, more so than ever now, when new pests have arrived from around the world and governments are encouraging farm...
The identification and management of pest infestations in a timely manner have been an ever-pressing issue, more so than ever now, when new pests have arrived from around the world and governments are encouraging farmers to use fewer and fewer pesticides. The use of drones and artificial intelligence in the monitoring of orchards has taken a strong rise in recent years due to the advantages offered by efficiency, coverage, and price. A particularly dangerous insect in fruit production is the brown marmorated stink bug (BMSB). The paper seeks to look at a performance comparison in BMSB detection between three states of the art models of image detection and classification: MobileNetV2, Xception, and EfficientNet. Each network model was slightly modified being thus adapted for this application and the results obtained had high accuracy, between 97% and 99%.
In today’s dynamic healthcare environment an efficient allocation of healthcare resources is essential for overall positive outcomes of healthcare processes and patient’s satisfaction. A preliminary stage for moving...
In today’s dynamic healthcare environment an efficient allocation of healthcare resources is essential for overall positive outcomes of healthcare processes and patient’s satisfaction. A preliminary stage for moving towards an efficient allocation of resources is the existence of an Integrated Management System (IMS) in the healthcare organizations. An IMS consist in a series of requirements on different areas that are mandatory to be *** modeling tools have been developed to improve the current state of healthcare processes. Those models can aid the decision-making process for allocation of healthcare resources and reduce costs. The purpose of this article is to present a predictive framework for efficient allocation in the healthcare system organization with implemented IMS. Type of resources relevant in the proposed framework were selected based on Pareto’s rule. The aim of the predictive framework is to support better allocation and management of healthcare resources, which is critical for reliable healthcare outcomes. The framework integrates value-based concepts and it is focused on finding balance between process performance and cost.
In this paper, we propose a genetic algorithm based on behavioral psychology developed by Carl Gustav Jung (16 Personalities model), in which we describe the person's behavioral features related to his personality...
In this paper, we propose a genetic algorithm based on behavioral psychology developed by Carl Gustav Jung (16 Personalities model), in which we describe the person's behavioral features related to his personality. The model used for inherence is based on 40 years of psychology studies from the book “The 16personalityy types that determinate how we live, love and work” [1] by Otto Kroeger and Janet M. Thuesen, published in 1988, but using inference extracted from an MBTI (Myers-Briggs Personality Type Indicator) dataset of online posts based on person personality and it thinks from 2018 [2].
Brain tumor is formed by the uncontrolled growth of cancerous (malign) or non-cancerous (benign) unhealthy cells in the brain. In the present world brain tumor is a very dangerous disease and the main reason for many ...
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Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pn...
Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pneumonia detection based on convolutional neural networks. Four network models are investigated. They are trained on 4.163 images from a public dataset and tested on 530 images. The best results are obtained by one of the proposed models conducting to a sensitivity of 98.72%, an accuracy of 89.81%, and ROC 93.46%. Thus, this research proposes a lightweight screening tool that can help triaging the patients with pneumonia.
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