Titlebook: Intelligence of Things: Technologies and Applications; The Second Internati Nhu-Ngoc Dao,Tran Ngoc Thinh,Ngoc Thanh Nguyen Conference proce

使熄灭

mit dem Nordamerikanischen Freihandelsabkommen NAFTA und dem Europäischen Binnenmarktprogramm die ersten bedeutenden Regionalinitiativen, die die Liberalisierung der Telekommunikationsdienste einschlossen. Fast zum selben Zeitpunkt begannen Anstrengungen, auch auf multilateraler Ebene — unter dem Da

不可磨灭

使服水土

A. A. Salama,Roheet Bhatnagar,N. S. Alharthi,R. E. Tolba,Mahmoud Y. Shamsjedoch separat behandelt. Zunächst werden die traditionelle Begründung des natürlichen Monopols (3.1.1) und ihre Widerlegung diskutiert (3.1.2). Im Abschnitt 3.1.3 wird eine Antwort auf die Frage gesucht, inwieweit Regulierungsmaßnahmen in einem Wettbewerbsregime für Telekommunikationsdienstleistung

随意

bronchiole

FPGA/AI-Powered Data Security for IoT Edge Computing Platforms: A Survey and Open Issues Although design approaches, technologies, and frameworks for IoT-based applications have been introduced efficiently, the security issues for IoT-based systems still need more studies from academia and industry. As one of the most suitable technologies for IoT edge computing devices, FPGAs offer ma

全神贯注于

A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images application of ultrasound imaging according to the traditional method has been widely used in the early detection of thyroid nodules. However, applying traditional methods is time-consuming, costly, and even ineffective because of the direct intervention of machines in the human body. Therefore, th

affluent

Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filteringering-based approaches are commonly used for generating similarity-based recommendations. While traditional clustering methods are often used for user clustering, there is a need to explore bio-inspired clustering techniques to improve recommendation generation. This article proposes a bio-inspired

MUMP

Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systemsess (RSMA) systems. In these systems, Internet of Things devices (IoTDs) act as single-antenna nodes transmitting data to the multiple-antenna base station (BS) utilizing the RSMA technique. The optimization process includes determining the transmit powers of the IoTDs, decoding order, and receive b

痛恨

悲观

Adaptive Conflict-Averse Multi-gradient Descent for Multi-objective Learningus approaches have attempted to address this problem by modifying the gradients based on specific criteria. However, most of these methods do not guarantee convergence or may converge to any Pareto-stationary point. The researchers developed a recent method called Conflict-Averse Gradient Descent (C