HCIS

Abstract With recent advances in deep learning research, generative models have achieved great achievements and play an increasingly important role in current industrial applications. At the same tim…

Yin Xu, Yan Li & Byeong-Seok Shin

Abstract Pose-invariant face recognition refers to the problem of identifying or verifying a person by analyzing face images captured from different poses. This problem is challenging due to the larg…

In Seop Na, Chung Tran, Dung Nguyen & Sang Dinh

Abstract The latest research on smart city technologies mainly focuses on utilizing cities’ resources to improve the quality of the lives of citizens. Diverse kinds of control signals from massive sy…

Euhee Kim, Sejun Jang, Shuyu Li & Yunsick Sung

Abstract A Vehicular Ad hoc NETwork (VANET) is a self-organized network formed by connected vehicles, which allows the exchange of useful traffic information in a timely manner. In such a context, ev…

Ryma Abassi, Aida Ben Chehida Douss & Damien Sauveron

Abstract In the context of MapReduce task scheduling, many algorithms mainly focus on the scheduling of Reduce tasks with the assumption that scheduling of Map tasks is already done. However, in the …

Neda Maleki, Hamid Reza Faragardi, Amir Masoud Rahmani, Mauro Conti & Jay Lofstead

Abstract Smart devices are effective in helping people with impairments, overcome their disabilities, and improve their living standards. Braille is a popular method used for communication by visuall…

Sana Shokat, Rabia Riaz, Sanam Shahla Rizvi, Abdul Majid Abbasi, Adeel Ahmed Abbasi & Se Jin Kwon

Abstract The fast propagation of the Internet of Things (IoT) devices has driven to the development of collaborative healthcare frameworks to support the next generation healthcare industry for quali…

Abdul Rehman Javed, Muhammad Usman Sarwar, Mirza Omer Beg, Muhammad Asim, Thar Baker & Hissam Tawfik

Abstract Analysis of time series data has been a challenging research subject for decades. Email traffic has recently been modelled as a time series function using a Recurrent Neural Network (RNN) an…

Khandu Om, Spyros Boukoros, Anupiya Nugaliyadde, Tanya McGill, Michael Dixon, Polychronis Koutsakis & Kok Wai Wong

Abstract The basic idea behind the vehicular ad-hoc network (VANET) is the exchange of traffic information between vehicles and the surrounding environment to offer a better driving experience. Priva…

Saad Ali Alfadhli, Songfeng Lu, Abdulaziz Fatani, Haider Al-Fedhly & Mahmut Ince

Abstract Vehicular cooperation mechanisms are known to provide efficiency and scalability benefits but for the mechanisms to be human-centric, there is a need for them to be robust and resilient to a…

Ali Aliedani, Seng W. Loke & Sebastien Glaser

Abstract Today, many people use dashcams, and videos recorded on dashcams are often used as evidence of accident fault. People can upload videos of dashcam recordings with specific accident clips and…

Taehyoung Kim, Im Y. Jung & Yih-Chun Hu

Abstract The existing action recognition systems mainly focus on generalized methods to categorize human actions. However, the generalized systems cannot attain the same level of recognition performa…

Sunder Ali Khowaja, Bernardo Nugroho Yahya & Seok-Lyong Lee

Abstract Cloud computing can provide users with basic hardware resources, and there are three instance types: reserved instances, on-demand instances and spot instances. The price of spot instance is…

Wenqiang Liu, Pengwei Wang, Ying Meng, Caihui Zhao & Zhaohui Zhang

Abstract Email is of critical importance as a communication channel for both business and personal matters. Unfortunately, it is also often exploited for phishing attacks. To defend against such thre…

Daniel Jampen, Gürkan Gür, Thomas Sutter & Bernhard Tellenbach

Abstract Wi-Fi-based indoor positioning for determining accurate wireless indoor location information has become crucial in meeting increasing demands for location-based services by leveraging the In…

Tran Trong Khanh, VanDung Nguyen, Xuan-Qui Pham & Eui-Nam Huh