|
|
|
|
|
Sadaf Montazeri, Zhen Lei and Nicole Odo
The construction industry, despite its anticipated significant growth, has struggled with low productivity over the past two decades. Design for manufacturing and assembly (DfMA), a methodology with a history of success in other industries, presents a pr...
ver más
|
|
|
|
|
|
|
|
|
Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
ver más
|
|
|
|
|
|
|
|
|
Dominik Warch, Patrick Stellbauer and Pascal Neis
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho...
ver más
|
|
|
|
|
|
|
|
|
Håkon Harnes and Donn Morrison
WebAssembly is a low-level bytecode language that enables high-level languages like C, C++, and Rust to be executed in the browser at near-native performance. In recent years, WebAssembly has gained widespread adoption and is now natively supported by al...
ver más
|
|
|
|
|
|
|
|
|
Mahmud Hossain, Golam Kayas, Ragib Hasan, Anthony Skjellum, Shahid Noor and S. M. Riazul Islam
Driven by the rapid escalation of its utilization, as well as ramping commercialization, Internet of Things (IoT) devices increasingly face security threats. Apart from denial of service, privacy, and safety concerns, compromised devices can be used as e...
ver más
|
|
|
|