HCIS

This study discusses an integrated authentication and encryption (LoSWIAE) scheme for medical wireless sensor networks (MWSNs). A scalable watermarking-based solution promises amalgamated advantages o…

Harpreet Vohra^{1, Mohammad Kamrul Hasan2,*, Harsh Shukla1}, Ravie Chandren Muniyandi², Hesham Alhumyani³, Mohammed S. Alzaidi⁴, Manpreet S Manna⁵, Shayla Islam^6,*, and A. K. M. Ahasan Habib²

Supply chain management (SCM) plays a pivotal role in the industrial life cycle. On-time delivery is necessary for a successful SCM system. To maintain a safe and secure supply of products, mode of tr…

Muhammad Rehan¹, Abdul Rehman Javed^2,3, Natalia Kryvinska⁴, Thippa Reddy Gadekallu^3,5,*, Gautam Srivastava^6,7,8, and Zunera Jalil²

In recent years, human factors in cooperative computation have been studied increasingly, since various application contexts are complicated and highly related to the knowledge of subject-matter exper…

Dongmiao Zhao^1,2, Yufeng Liu³, Guangzhao Zeng¹, Xingtian Wang¹, Sheng Miao^3,*, and Weijun Gao^1,4

In epidemic prevention and control measures, unmanned devices based on autonomous driving technology have stepped into the front lines of epidemic prevention, playing a vital role in epidemic preventi…

Siyuan Liang¹, Mengna Xie¹, Sahil Garg², Georges Kaddoum², Mohammad Mehedi Hassan³, and Salman A. AlQahtani^4,*

Recently, the use of open platforms with various network functions and hardware interfaces has been increasing in various fields such as the Internet of Things, smart buildings, and industrial automat…

Hyejin Eom, Byoungjin Seok, and Changhoon Lee*

Recently, the term “Metaverse” gained more interest from both industry and academia, especially after major companies announced metaverse as a novel billion-dollar industry. Metaverse is built upon va…

Min Choi¹, Abir EL Azzaoui², Sushil Kumar Singh², Mikail Mohammed Salim², Sekione Reward Jeremiah², and Jong Hyuk Park^2,*

Deep learning technologies for mobile networks have been regarded as a popular issue due to the development of mobile technology, deep learning, and mobile smart applications. This paper investigates …

Hui-Chun Chu¹, Ching-Yi Chang^2,3, and Han-Chieh Chao^4,*

Although the use of high-resolution land cover maps is increasing, securing a reasonable level of accuracy in order to preserve detailed land cover information remains a challenge. This study optimize…

Bongsang Seo¹, Sejin Jang², Jinsik Bong¹, Kangmin Park³, Impyeong Lee³, and Moonsun Jeong^4,*

The disorder that directly impacts the heart and the blood vessels inside the body is cardiovascular disease (CVD). According to the World Health Organization reports, CVDs are the leading cause of mo…

Jasminder Kaur Sandhu¹, Umesh Kumar Lilhore², Poongodi M³, Navpreet Kaur⁴, Shahab S. Band^5,* Mounir Hamdi³, Celestine Iwendi⁶, Sarita Simaiya¹, M.M. Kamruzzaman⁷, and Amir H. Mosavi^8,9,10,11,*

The application of machine learning to Sanda could have enormous benefits. This cross-disciplinary study aims to study machine learning in post-match scoring by combining comprehensive evaluation and …

Lei Huang¹, Xinao Li², and Guixian Wang^1,*

Distributed transactions in e-Healthcare and the evaluation of medical data have become an active research area of information technology that delivers medical records management and optimization with…

Abdullah Ayub Khan^1,2, Asif Ali Laghari¹, Muhammad Shafiq^3,*, Omar Cheikhrouhou⁴, Wajdi Alhakami⁵, Habib Hamam⁶, and Zaffar Ahmed Shaikh²

In recent decades, microarray datasets have played an important role in triple negative breast cancer (TNBC) detection. Microarray data classification is a challenging process due to the presence of …

Sujata Patil¹ , Kavitha Rani Balmuri² , Jaroslav Frnda^3,4,*, Parameshachari B.D.⁵ , Srinivas Konda⁶ , and Jan Nedoma⁴

This paper empirically studies the impact of Sigmoid activation function in binary cross-entropy loss against softmax in categorical cross-entropy loss for binary classification problems. A face mask …

Endah Kristiani^1,2, Yu-Tse Tsan^3,4, Po-Yu Liu⁵, Neil Yuwen Yen⁶, and Chao-Tung Yang^1,7,*

The mental risk poses a high threat to the individuals, especially overseas demographic, including expatriates in comparison to the general Arab demographic. Since Arab countries are renowned for thei…

Razan Ibrahim Alsuwailem and Surbhi Bhatia*

Automatic abnormal beat detection reduces the time and cost for signal analysis by a cardiologist because abnormal beats rarely occur in an electrocardiogram (ECG) signal. However, the characteristic…

Seungmin Lee and Daejin Park*