HCIS

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

Abstract Data fusion has always been a hot research topic in human-centric computing and extended with the development of artificial intelligence. Generally, the coupled data fusion algorithm usually…

Liangfu Lu, Xiaoxu Ren, Kuo-Hui Yeh, Zhiyuan Tan & Jocelyn Chanussot

Abstract With the advancement of Information and Communication Technology (ICT) and the proliferation of sensor technologies, the Internet of Things (IoT) is now being widely used in smart home for t…

Younghun Lee, Shailendra Rathore, Jin Ho Park & Jong Hyuk Park

Abstract The quality and quantity of participation supplied by human beings during the different phases of the design and development of a software artifact are central to studies in human-centered c…

Marco Roccetti, Catia Prandi, Silvia Mirri & Paola Salomoni

Abstract The continuous advancement in the Internet of Things technology allows people to connect anywhere at any time, thus showing great potential in technology like smart devices (including smartp…

Mohammed A. Alqarni, Sajjad Hussain Chauhdary, Maryam Naseer Malik, Muhammad Ehatisham-ul-Haq & Muhammad Awais Azam

Abstract Low-rate denial of service (LDoS) attacks send attacking bursts intermittently to the network which can severely degrade the victim system’s Quality of Service (QoS). The low-rate nature of …

Dan Tang, Rui Dai, Liu Tang & Xiong Li

Abstract In recent years, statistics have confirmed that the number of elderly people is increasing. Aging always has a strong impact on the health of a human being; from a biological of point view, …

Giovanni Cicceri, Fabrizio De Vita, Dario Bruneo, Giovanni Merlino & Antonio Puliafito

Abstract The latest shifts in technology have brought about new kinds of users who occasionally access unfamiliar systems in new scenarios. This way of use should not request any learning curve. Ther…

Antonio L. Carrillo & Juan A. Falgueras