
- HOW TO CREATE FUZZY MATERIALS 3D WORLD MAGAZINE HOW TO
- HOW TO CREATE FUZZY MATERIALS 3D WORLD MAGAZINE LICENSE
Abstract There have been numerous works proposed to merge augmented reality/mixed reality (AR/MR) and Internet of Things (IoT) in various ways. Seungwoon Lee 1, Woogeun Kil 1, Byeong-hee Roh 1,*, SJ Kim 2, Jin-suk Kang 3ĬMC-Computers, Materials & Continua, Vol.71, No.1, pp.
Novel Architecture of OneM2M-Based Convergence Platform for Mixed Reality and IoT.However, little has been reported on the results of these systems with regard to unusual varieties…
HOW TO CREATE FUZZY MATERIALS 3D WORLD MAGAZINE LICENSE
CNNs are popular for license plate character recognition. A CNN works on an input image by assigning significance to various features of the image and differentiating them from each other. The most effective approach for implementing ALPR systems utilizes deep learning via a convolutional neural network (CNN). These systems play a significant role in border surveillance, ensuring safeguards, and handling vehicle-related crime.
Abstract Automatic License Plate Recognition (ALPR) systems are important in Intelligent Transportation Services (ITS) as they help ensure effective law enforcement and security. Parneet Kaur 1, Yogesh Kumar 1, Shakeel Ahmed 2,*, Abdulaziz Alhumam 2, Ruchi Singla 3, Muhammad Fazal Ijaz 4ĬMC-Computers, Materials & Continua, Vol.71, No.1, pp. Automatic License Plate Recognition System for Vehicles Using a CNN. While applying the classifier, templates are designed separately for ventricular tachycardia and… Once a signal taken from a patient is detected, then the classifier takes that signal as input and classifies the target disease by predicting the class label. The proposed research approach presents a mathematical model for the signal detector based on calculating the instantaneous frequency (IF).
The sole purpose of the signal detection is used to determine if a signal has been collected from a healthy or sick person.
Abstract This paper focuses on detecting diseased signals and arrhythmias classification into two classes: ventricular tachycardia and premature ventricular contraction. (This article belongs to this Special Issue: Recent Advances in Deep Learning for Medical Image Analysis) Khalid Mahmood Aamir 1, Muhammad Ramzan 1,2, Saima Skinadar 1, Hikmat Ullah Khan 3, Usman Tariq 4, Hyunsoo Lee 5, Yunyoung Nam 5,*, Muhammad Attique Khan 6ĬMC-Computers, Materials & Continua, Vol.71, No.1, pp. Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning. D2D communication technology which is introduced into cellular networks can effectively improve… It has become one of the key technologies of the fifth-generation mobile communications system(5G). Device-to-Device communication technology is the technology that devices in proximity can communicate directly in cellular networks. Device-to-Device (D2D) communication technology and other frontier communication technologies have emerged.
HOW TO CREATE FUZZY MATERIALS 3D WORLD MAGAZINE HOW TO
Therefore, how to obtain a higher data rate, wider network coverage and higher resource utilization in the limited spectrum resources has become the common research goal of scholars. Abstract With the rapid development of the next-generation mobile network, the number of terminal devices and applications is growing explosively.Al-Sharafi 6, Byung Seo Kim 7ĬMC-Computers, Materials & Continua, Vol.71, No.1, pp. Al-Wesabi 1,2,*, Imran Khan 3, Saleem Latteef Mohammed 4, Huda Farooq Jameel 4, Mohammad Alamgeer 5, Ali M. Optimal Resource Allocation Method for Device-to-Device Communication in 5G Networks.