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Prospects of machine and deep learning in analysis of vital signs for the improvement of healthcare services
Alloghani M., Baker T., Al-Jumeily D., Hussain A., Mustafina J., Aljaaf A.
-Means in clustering signals and used deep learning, Naïve Bayes, Random Forests, Decision Trees, and Generalized
MULTINET: A Multi-Agent DRL and EfficientNet Assisted Framework for 3D Plant Leaf Disease Identification and Severity Quantification
Allaoua Chelloug S., Alkanhel R., Muthanna M.S.A., Aziz A., Muthanna A.
Agriculture plays the vigorous role in economy as well as it is contemplated to be the mainstay
AI in Skin Cancer Detection
Al-Askar H., Almurshedi R., Mustafina J., Al-Jumeily D., Hussain A.
considers the use of Machine Learning tools in early detection of skin cancer. It also presents the results
Mobile App Development Through Designing Structural Visual Method for Effective Learning Foreign Language
Imad H. Tahini, Dadykin, A. K.
the learning process and progress in his own space based on his cognitive state and learners can speak
Graph Neural Networks for Communication Networks: A Survey
Yanxiang Zhao, Yijun Zhou, Zhijie Han
years, based on the advancement and application of machine learning and deep learning in communication
Deep neural networks application in next-generation intelligent computer systems
Kroshchanka, A.
) based on the integration of pre-trained models of deep neural networks and logical models developed
Deep Learning Automated System for Thermal Defectometry of Multilayer Materials
Momot, A. S., Galagan, R. M., Gluhovskii, V. Yu.
of article is to use the advances in deep learning for processing results of active thermal testing
Глубокое обучение с долговременной краткосрочной памятью для прогнозирования трафика интернета вещей
Бородин А.С., Абделлах А.Р., Кучерявый А.Е.
for IoT traffic because the number of IoT devices is very large. The article proposes to apply deep
Deep Reinforcement Learning Based Resource Allocation Method in Future Wireless Networks with Blockchain Assisted MEC Network
Consul P., Budhiraja I., Garg D., Sharma S., Muthanna A.
into account time-varying communication channels and MEC server saturation is defined. We use deep
DEVELOPMENT OF RECOMMENDATIONS ON ADAPTATION OF THE BEST INTERNATIONAL PRACTICES IN APPLICATION OF ERS DATAFOR SOLVING PROBLEMS IN RUSSIAN AGRICULTURE
Butrova E.V., Pavlov V.A., Kovkov G.V.
of such images can be performed using the deep machine learning algorithms. The article describes the results

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