Deep learning (DL) is an exciting field of interest for many researchers and business. Due to a massive leap in DL based research, many domains like Business, science and government sectors make use of DL for various applications. This work puts forward the importance of DL and its application in a few critical electrical segments. Initially, an introduction to Artificial Intelligence (AI) and Machine Learning (ML) is presented. Then the need for DL and the popular architectures, algorithms and frameworks used are presented. A summary of different techniques used in DL is outlined, and finally, a review on the application of deep learning techniques in some popular electrical applications is presented. Five critical electrical applications, namely identification of bearing faults, hot spots on the surface of PV panels, insulator faults, an inspection of power lines and Electric vehicles have been considered for review in this work. The primary aim of this work is to present chronologically, a survey of different areas in which it applies DL along with their architectures, frameworks and techniques to provide a deeper understanding of DL for widespread use in real-time applications.

This study examines the user perception of usefulness, ease of use and enjoyment as drivers for the users’ complex interaction with map on mobile devices. TAM model was used to evaluate users’ intention to use and their acceptance of interactive mobile map using the above three beliefs as antecedents. Quantitative research (survey) methodology was employed and the analysis and findings showed that all the three explanatory variables used in this study, explain the variability in the user acceptance of interactive mobile map technology. Perceived usefulness, perceived ease of use, and perceived enjoyment each have significant positive influence on user acceptance of interactive mobile maps. This study further validates the TAM model.

Research studies show that there is an upsurge in the number of users surfing the Internet for online health related information. This increase in information seeking behavior on the Web gives rise to the need to ensure that Web based portals meet basic quality in use standards. The ISO/IEC 25010 standard was developed as a model for evaluating such quality in user expectations. In this paper, this standard was used to assess the quality in use of e-Ebola Awareness System, an online health awareness portal. The results provide some insights into the quality into the use of the online portal and also pointing to some issues that impact negatively on the quality in use of the portal, demanding attention and improvement.

There is a dramatic increase in the development of mobile applications in recent years. This makes the usability evaluation of these mobile applications an important aspect in the advancement and application of technology. In this paper, a laboratory-based usability evaluation was carried out on the Amazon Kindle app using 15 users who performed 5 tasks on the Kindle e-book mobile app. A post-test questionnaire was administered to elicit users’ perception on the usability of the application. The results demonstrate that almost all the participants were satisfied with services provided by the Amazon Kindle e-book mobile app. On all the four user experience factors examined, namely, perceived ease-of-use, perceived visibility, perceived enjoyabilty, and perceived efficiency, the evaluation outcome shows that the participants had a good and rich mobile experience with the application.

The range and availability of mobile applications is expanding rapidly. With the increased processing power available on portable devices, developers are increasing the range of services by embracing smartphones in their extensive and diverse practices. While usability testing and evaluations of mobile applications have not yet touched the accuracy level of other web based applications. The existing usability models do not adequately capture the complexities of interacting with applications on a mobile platform. Therefore, this study aims to presents review on existing usability models for mobile applications. These models are in their infancy but with time and more research they may eventually be adopted. Moreover, different categories of mobile apps (medical, entertainment, education) possess different functional and non-functional requirements thus customized models are required for diverse mobile applications.