http://hdl.handle.net/20.500.14044/39602 Sun, 26 Jul 2026 01:52:29 GMT 2026-07-26T01:52:29Z http://hdl.handle.net/20.500.14044/30330 Optimizing Neural Network Hyperparameters Using Genetic Algorithms for Predicting Student Adaptability in Online Education Mahalegi Homayoun, Safarpour Motealegh Predicting student adaption is a crucial component of studying online learning material. Machine learning algorithms are crucial in this situation. Deep learning is a fundamental concept in machine learning algorithms. This work used Python in the Jupyter Notebook environment to implement the deep learning approach for forecasting students' adaptation to online learning. The Keras and Tensorflow libraries were used to construct a neural network model using the Kaggle dataset. The data is divided into testing data and training sets and utilize the Keras plot_model utility method to visualize the neural network model. Construct the deep learning model with two hidden layers, each employing randomly picked activation functions from relu, sigmoid, tanh, elu, and selu. Additionally, include one output layer with the softmax activation function. After undergoing a fine-tuning procedure until the alterations stabilized, this model achieved an accuracy of 89.63%. Fri, 25 Oct 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/30330 2024-10-25T00:00:00Z http://hdl.handle.net/20.500.14044/30329 Bevezetés az IoT világába: azon belül testek internete és kiberbiztonság Nagy, Attila; Horváth-Kis, Anikó; Rajnai, Zoltán A cikk fő célja a Dolgok Internetének bemutatása, különös tekintettel a Testek Internetére. Célja, hogy ráirányítsa a figyelmet a jövőben rejlő lehetőségekre ezen a területen, miközben felhívja a figyelmet a kiberbiztonsággal kapcsolatos kihívásokra. Az emberi testek internetkapcsolatának előretörése a társadalmak egészségesebbé válásához vezethet, ami miatt kiemelten fontos lesz a megfelelő védelem biztosítása.; The main purpose of this article is to present the Internet of Things, with special regard to the Internet of Bodies. It aims to focus attention on future opportunities in this field while raising awareness of the challenges associated with cyber security. Advances in the Internet connection of human bodies can lead to healthier societies, which makes it extremely important to ensure adequate protection. Fri, 25 Oct 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/30329 2024-10-25T00:00:00Z http://hdl.handle.net/20.500.14044/30328 Prediction of wine quality using machine learning techniques Gjeka, Erestina Climate change has affected every sector of nature, especially healthcare in recent years. These changes have affected the vineyards but also the characteristics of the wine. In this research project, two natural factors were taken into account, temperature and annual precipitation. At times when machine learning had not yet been discovered, each process was very complicated and time-consuming. Therefore, machine learning is a very smart move to get fast and accurate results.Pearson correlation coefficient was used to come to a conclusion. Tue, 01 Oct 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/30328 2024-10-01T00:00:00Z http://hdl.handle.net/20.500.14044/30327 Origami's Mathematical Precision: Transforming Medicine Through Folded Geometry Trubljanin, Enisa Origami constructions, inspired by the ancient Japanese art of folding paper, are gaining importance in mathematicsand science. The paper explores the mathematical aspects of origami, with a focus on their geometric constructions and applications. Applications of origami in the field of medicine were investigated. The paper also discusses and addresses advanced topics such as modular origami and origami computing. Through all these topics, the richness and depth of mathematical ideas hidden behind folded paper are shown, thus emphasizing their importance in the modern world. An understanding of origami mathematics was provided, thus providing an incentive for further research and applications inmedicine.Through this work, the goal is to understand the potential of origami as a creative and interdisciplinary tool in the medical field, highlighting opportunities for innovation and progress. Fri, 25 Oct 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/30327 2024-10-25T00:00:00Z