Results 11 to 20 of about 42,014 (262)
Non-Linear Pressure Sensitivity of Standard Telecommunication Cables [PDF]
The utilization of existing telecommunication infrastructure for environmental monitoring via opportunistic sensing is rapidly advancing the field of distributed fiber optic sensing (DFOS).
Abdulfatah A. G. Abushagur +8 more
doaj +2 more sources
Neural-Network-Optimized Vehicle Classification Using Clustered Image and Fiber-Sensor Datasets
Internet of Things (IoT) becomes indispensable for transport and automotive industry to advance functions in on-road traffic monitoring. Indeed, smart management tools and machine learning concepts are inevitable in vehicle categorization systems ...
Patrik Kamencay +4 more
doaj +1 more source
Intelligent Multimedia Communication [PDF]
Multimedia communication is a part of everyday life and its appearance in computer applications is increasing in frequency and diversity. Intelligent or knowledge based computer supported communication promises a number of benefits including increased interaction efficiency and effectiveness.
Mark T. Maybury +2 more
openaire +1 more source
A New Approach for Abnormal Human Activities Recognition Based on ConvLSTM Architecture
Recognizing various abnormal human activities from video is very challenging. This problem is also greatly influenced by the lack of datasets containing various abnormal human activities.
Roberta Vrskova +3 more
doaj +1 more source
Machine Learning for Multimedia Communications [PDF]
Machine learning is revolutionizing the way multimedia information is processed and transmitted to users. After intensive and powerful training, some impressive efficiency/accuracy improvements have been made all over the transmission pipeline. For example, the high model capacity of the learning-based architectures enables us to accurately model the ...
Nikolaos Thomos +2 more
openaire +6 more sources
Human Activity Classification Using the 3DCNN Architecture
Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing interest in neural networks, there is also a rising interest in video classification.
Roberta Vrskova +3 more
doaj +1 more source
A New Deep-Learning Method for Human Activity Recognition
Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular approach in the field of human activity recognition. However, due to the variety of methods used for human activity recognition, we propose a new deep-learning model in ...
Roberta Vrskova +3 more
doaj +1 more source
Industry Perspective on Journalism Education Curriculum in Malaysia
Purpose -This study investigated media and communication practitioners’ perspectives on the journalism education curriculum in Malaysia. Curriculum plays an important role in providing quality education for students.
Norhafezah Yusof +5 more
doaj +1 more source
High-Frequency Sensitive Generative Adversarial Network for Low-Dose CT Image Denoising
Low-dose computed tomography (LDCT) imaging has attracted tremendous attention because it reduces the potential cancer risk for patients by decreasing the radiation dose. However, reducing the radiation dose may cause image quality degradation due to the
Linlin Yang +4 more
doaj +1 more source
The Roles of Social Media Influencers on Online Fundraising in Indonesia
Introduction/Main Objectives: Using celebrities for online fundraising has become increasingly popular, especially duringthe recent COVID-19 pandemic. It has encouraged social media influencers (SMIs) around the world to help raise money through their ...
Joyce Cheah Lynn-Sze +1 more
doaj +1 more source

