HCIS

Abstract Data with unbalanced multivariate nominal attributes collected from a large number of users provide a wealth of knowledge for our society. However, it also poses an unprecedented privacy thr…

Xuejie Feng & Chiping Zhang

Abstract To develop a realistic simulator for autonomous vehicle testing, the simulation of various scenarios that may occur near vehicles in the real world is necessary. In this paper, we propose a …

Mingyun Wen, Jisun Park & Kyungeun Cho

Abstract Crowdsourcing and crowd computing are a trend that is likely to be increasingly popular, and there remain a number of research and operational challenges that need to be addressed. The human…

Zhiyong Zhang, Junchang Jing, Xiaoxue Wang, Kim-Kwang Raymond Choo & Brij B. Gupta

Abstract Due to single-time registration, the multi-server authentication provides benefit for getting services from different servers through trusted agent. Generally, users feel hesitation for regi…

Muhammad Arslan Akram, Zahid Ghaffar, Khalid Mahmood, Saru Kumari, Kadambri Agarwal & Chien-Ming Chen

Abstract As cloud computing technology matures, along with an increased application of distributed networks, increasingly larger amounts of data are being stored in the cloud, and are thus available …

Chin-Ling Chen, Po-Tsun Huang, Yung-Yuan Deng, Hsing-Chung Chen & Yun-Ciao Wang

Abstract The technology of Artificial Intelligence (AI) brings tremendous possibilities for autonomous vehicle applications. One of the essential tasks of autonomous vehicle is environment perception…

Mingfang Zhang, Rui Fu, Yingshi Guo, Li Wang, Pangwei Wang & Hui Deng

Abstract With the wide application of Light Detection and Ranging (LiDAR) in the collection of high-precision environmental point cloud information, three-dimensional (3D) object classification from …

Wei Song, Lingfeng Zhang, Yifei Tian, Simon Fong, Jinming Liu & Amanda Gozho

Abstract Navigation systems help users access unfamiliar environments. Current technological advancements enable users to encapsulate these systems in handheld devices, which effectively increases th…

Jayakanth Kunhoth, AbdelGhani Karkar, Somaya Al-Maadeed & Abdulla Al-Ali

Abstract The performance of a CNN based medical-image classification network depends on the intensities of the trained images. Therefore, it is necessary to generalize medical images of various inten…

Dong-Ho Lee, Yan Li & Byeong-Seok Shin

Abstract The transient ischemic attack (TIA) is a kind of sudden disease, which has the characteristics of short duration and high frequency. Since most patients can return to normal after the onset …

Qing Zhang, Yajun Li, Fadi Al-Turjman, Xihui Zhou & Xiaodong Yang

Abstract The necessity to improve security in a multi-cloud environment has become very urgent in recent years. Although in this topic, many methods using the message authentication code had been rea…

Leila Megouache, Abdelhafid Zitouni & Mahieddine Djoudi

Abstract Object detection methods aim to identify all target objects in the target image and determine the categories and position information in order to achieve machine vision understanding. Numero…

Danyang Cao, Zhixin Chen & Lei Gao

Abstract Cascade prediction helps us uncover the basic mechanisms that govern collective human behavior in networks, and it also is very important in extensive other applications, such as viral marke…

Yun Liu, Zemin Bao, Zhenjiang Zhang, Di Tang & Fei Xiong

Abstract Melanoma is considered to be one of the deadliest skin cancer types, whose occurring frequency elevated in the last few years; its earlier diagnosis, however, significantly increases the cha…

Tallha Akram, Hafiz M. Junaid Lodhi, Syed Rameez Naqvi, Sidra Naeem, Majed Alhaisoni, Muhammad Ali, Sajjad Ali Haider & Nadia N. Qadri

Abstract The contact list size of modern mobile phone users has increased up to hundreds of contacts, making contact retrieval a relatively difficult task. Various algorithms have been designed to pr…

Shamaila Hayat, Aimal Rextin, Adnan Idris & Mehwish Nasim