K. Meenakshi^1,*, G. Maragatham²

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 627-643, 2023, DOI:10.32604/iasc.2023.026961 - 06 June 2022

Abstract Deep Learning is one of the most popular computer science techniques, with applications in natural language processing, image processing, pattern identification, and various other fields. Despite the success of these deep learning algorithms in multiple scenarios, such as spam detection, malware detection, object detection and tracking, face recognition, and automatic driving, these algorithms and their associated training data are rather vulnerable to numerous security threats. These threats ultimately result in significant performance degradation. Moreover, the supervised based learning models are affected by manipulated data known as adversarial examples, which are images with a particular level… More >

Iyyappan. M¹, Arvind Kumar¹, Sultan Ahmad^2,*, Sudan Jha³, Bader Alouffi⁴, Abdullah Alharbi⁵

Computer Systems Science and Engineering, Vol.44, No.1, pp. 351-365, 2023, DOI:10.32604/csse.2023.025163 - 01 June 2022

Abstract Component-based software engineering is concerned with the development of software that can satisfy the customer prerequisites through reuse or independent development. Coupling and cohesion measurements are primarily used to analyse the better software design quality, increase the reliability and reduced system software complexity. The complexity measurement of cohesion and coupling component to analyze the relationship between the component module. In this paper, proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the repository. It measures the interface density modules of coupling and cohesion in a modular software system. This More >

Alessandro Araldi¹, David Emsellem², Giovanni Fusco¹, Andrea Tettamanzi³, Denis Overal²

Revue Internationale de Géomatique, Vol.31, No.2, pp. 265-302, 2022, DOI:10.3166/rig31.265-302

Abstract The identification and description of building typologies play a fundamental role in the understanding of the overall built-up form. A growing body of research is developing and implementing sophisticated, computer-aided protocols for the identification of building typologies. This paper shares the same goal. An innovative data-driven procedure for the unsupervised identification and description of building types and organization is here presented. After a specific pre-processing procedure, we develop an unsupervised clustering combining a new algorithm of Naive Bayes inference and hierarchical ascendant approaches relying on six morphometric features of buildings. This protocol allows us to More >

Shirley Qi-Yu Sun¹, Anson Chiu-Yan Tang², Qing Wang¹, Loretta Yuet-Foon Chung^1,*, Regina Lai-Tong Lee^3,4,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 795-810, 2022, DOI:10.32604/ijmhp.2022.024841 - 28 September 2022

Abstract There are increasing concerns about internet gaming disorder (IGD). No review of existing studies has systematically analyzed and visualized the trends of IGD and those early identification of symptoms related to IGD behaviors. This critical review focuses on the emerging trends for early identification of symptoms related to IGD behaviors in papers published in Web of Science Core Collection from 2009 to 2021 by scientometric analysis and critical review. Scientometric data analysis technique includes co-occurrence analysis, cluster analysis and burst analysis of authors, countries, keywords and co-citation to visualize those contributing and associated factors to… More >

Shu-Yu Wu¹, Yu-Chi Huang¹, Chi-Fa Hung^1,2,3, Liang-Jen Wang^4,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 989-998, 2022, DOI:10.32604/ijmhp.2022.022784 - 28 September 2022

Abstract Population aging has developed into a significant area of concern in developed countries, especially in relation to the preservation of functional independence and the quality of life (QoL). However, information on the contribution of sex differences in quality of life and cognitive function is scarce. Therefore, this study aimed to investigate potential differences in cognitive function and QoL between males and females. For this study, we recruited 382 healthy subjects aged 19–79 years from communities in Southern Taiwan. Cognitive function and QoL were assessed using the UCSD Performance-based Skills Assessment, Brief Version (UPSA-B) and World… More >

Chien-Wen Lin¹, Jen-Cheng Wang², Bo-Yan Zhong³, Joe-Air Jiang^4,5, Ya-Fen Wu⁶, Shao-Wei Leu¹, Tzer-En Nee^3,7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 619-638, 2022, DOI:10.32604/cmes.2022.021324 - 03 August 2022

Abstract The invariant metrics of the effects of park size and distance to public transportation on housing value volatilities in Boston, Milwaukee, Taipei and Tokyo are investigated. They reveal a Cobb-Douglas-like behavior. The scale-invariant exponents corresponding to the percentage of a green area (a) are 7.4, 8.41, 14.1 and 15.5 for Boston, Milwaukee, Taipei and Tokyo, respectively, while the corresponding direct distances to the nearest metro station (d) are −5, −5.88, −10 and −10, for Boston, Milwaukee, Taipei and Tokyo, respectively. The multiphysics-based analysis provides a powerful approach for the symmetry characterization of market engineering. The scaling… More >

Mustafa M. Al Rifaee^1,*, Mohammad M. Abdallah¹, Mosa I. Salah², Ayman M. Abdalla¹

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5063-5073, 2022, DOI:10.32604/cmc.2022.030033 - 28 July 2022

Abstract Hand veins can be used effectively in biometric recognition since they are internal organs that, in contrast to fingerprints, are robust under external environment effects such as dirt and paper cuts. Moreover, they form a complex rich shape that is unique, even in identical twins, and allows a high degree of freedom. However, most currently employed hand-based biometric systems rely on hand-touch devices to capture images with the desired quality. Since the start of the COVID-19 pandemic, most hand-based biometric systems have become undesirable due to their possible impact on the spread of the pandemic.… More >

Hosam El- El-Sofany^1,2,*

Computer Systems Science and Engineering, Vol.43, No.2, pp. 573-589, 2022, DOI:10.32604/csse.2022.024302 - 20 April 2022

Abstract Most user authentication mechanisms of cloud systems depend on the credentials approach in which a user submits his/her identity through a username and password. Unfortunately, this approach has many security problems because personal data can be stolen or recognized by hackers. This paper aims to present a cloud-based biometric authentication model (CBioAM) for improving and securing cloud services. The research study presents the verification and identification processes of the proposed cloud-based biometric authentication system (CBioAS), where the biometric samples of users are saved in database servers and the authentication process is implemented without loss of the… More >

Abdullah Saad AL-Malaise AL-Ghamdi¹, Mahmoud Ragab^2,3,4,*

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3131-3144, 2022, DOI:10.32604/cmc.2022.026457 - 29 March 2022

Abstract Education 4.0 is being authorized more and more by the design of artificial intelligence (AI) techniques. Higher education institutions (HEI) have started to utilize Internet technologies to improve the quality of the service and boost knowledge. Due to the unavailability of information technology (IT) infrastructures, HEI is vulnerable to cyberattacks. Biometric authentication can be used to authenticate a person based on biological features such as face, fingerprint, iris, and so on. This study designs a novel search and rescue optimization with deep learning based learning authentication technique for cybersecurity in higher education institutions, named SRODL-LAC… More >

Sankar Sennan¹, Kirubasri¹, Youseef Alotaibi², Digvijay Pandey^3,*, Saleh Alghamdi⁴

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2159-2174, 2022, DOI:10.32604/cmc.2022.025773 - 29 March 2022

Abstract Internet of Things (IoT) is a recent paradigm to improve human lifestyle. Nowadays, number devices are connected to the Internet drastically. Thus, the people can control and monitor the physical things in real-time without delay. The IoT plays a vital role in all kind of fields in our world such as agriculture, livestock, transport, and healthcare, grid system, connected home, elderly people carrying system, cypher physical system, retail, and intelligent systems. In IoT energy conservation is a challenging task, as the devices are made up of low-cost and low-power sensing devices and local processing. IoT… More >