Breast cancer is the second leading cause of death in females. As such, women have high incidence and mortality rates of breast cancer. The incidence rate has been on the rise over time. The earlier breast cancer is caught, the better it shows prognosis and the lower the mortality rate is. For this reason, many researchers and medical doctors have heeded a lot of attention to the CAD systems to detect

Recommender systems are widely applied in digital platforms such as news websites to personalize services based on user preferences. In news websites, most of users are anonymous and the only available data is sequences of items in anonymous sessions. Due to this, typical collaborative filtering methods, which are highly applied in many applications, are not effective in news recommendations. In this

Without a proper mechanism to track and authenticate drugs, both stakeholder and consumer experience dilemmas. The dilemmas arise between stakeholders and consumers are related to of coordination, inventory management, human resource dependency, order management, stock management, expiry of medicines data etc. Stakeholders are unable to analyse the demands, hence becoming incapable of optimizing their

Multimedia provides a lot of information for users through various forms of information contents and information processing. These days, it is utilized and converged in diverse fields. Particularly, in the convergence of movie or TV drama media and information technologies, how to visualize or predict emotional changes on the basis of a variety of multimedia information has steadily been researched

In intrusion detection, approaches incorporated with data mining become interesting nowadays, in particular the associative classification which is a hybrid technique which uses pruning measure. Although the full rules set is not intended for precise classification, the rules have been used effectively by classifiers that have been built in previous systems. Class detection by variance process uses

Life-threatening novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), also known as COVID-19, has engulfed the world and caused health and economic challenges. To control the spread of COVID-19, a mechanism is required to enforce physical distancing between people. This paper proposes a Blockchain-based framework that preserves patients’ anonymity while tracing their contacts with the

Standardised tools to assess a user’s satisfaction with the experience of using chatbots and conversational agents are currently unavailable. This work describes four studies, including a systematic literature review, with an overall sample of 141 participants in the survey (experts and novices), focus group sessions and testing of chatbots to (i) define attributes to assess the quality of interaction

Wireless sensor networks (WSNs) are applicable in numerous fields ranging from very common to those demanding critical security concerns. It is recommended to provide external users a direct access to the data from sensors as per their need for real-time applications. To avoid unauthorized access, user authentication is essential for accessing the services between the nodes. Recently, Tai et al. designed

In recent years, music consumption has shifted towards streaming applications which offer users access to vast amount of music without needing to download or own it. While streaming technology also allows users to create music collections, maintaining a collection is optional as for the first time in music consuming history users can reliably listen to music outside their collections. To study the

With the improvement of industrial automation and technological progress, the number of robots continues to increase, application scenarios are becoming more and more complex, and the requirements for automation and intelligence of robots are also increasing. Due to the development of computer technology and artificial intelligence based on machine vision technical robots has received great attention

Rapid advancement in the sophistication of malware has posed a serious impact on the device connected over the Internet. Malware writing is driven by economic benefits; thus, an alarming increase in malware variants is witnessed. Recently, a large volume of malware attacks are reported on Internet of Things (IoT) networks; as these devices are exposed to insecure segments, further IoT devices reported

In the era of artificial intelligence, trained neural network models have become new products of the information age. Most of machine learning strategies currently used to train neural networks are supervised learning, and thus, training data with labels become new intellectual capital (IC). Due to commercial confidentiality, data cannot be shared directly among information companies, which in turn

Internet of Things (IoT) and its applications have gained importance in recent times of research. The heterogeneous nature of IoT networks makes them applicable for various real-time applications and has become inseparable in everyone’s life. Although these IoT devices simplify day to day life activities, these networks are vulnerable to many security threats. Current insufficient security measures

Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly effective in increasing public security. The traditional procedure of recognizing abnormalities in the Web of Thing (WoT) platform comprises monitoring the activities and describing the crowd properties such as density, trajectory, and motion pattern from the visual frames. Accordingly, incorporating real-time security

The Internet of Medical Things (IoMT) is a kind of associated smart-medical device infrastructure with applications, health services, and systems. These medical devices and applications are linked via the Internet to healthcare systems. The privacy and security for patient data, scalability, and data accessibility are the most complex IoT challenges (particularly in IoMT) and need to be considered

The motion of the camera in a video effectively conveys to the viewers the intention of the director, and is an essential element that enhances their interest. Therefore, detecting the motion of the camera is a very important factor in movie analysis. Existing research to detect the motion of the camera in a video has mainly focused on pan, tilt, and zoom. However, movies use more diverse camera motions

Internet of Things (IoT) deployed healthcare systems to provide ubiquitous services and assistance for the end-users/patients through their handheld devices/user equipment. The processing of sensitive medical information involves the transfer of effective and timely healthcare services without taking rest. In this article, adaptable service compliance (BASC) is implemented for blockchain-reliant purposes

With the advent of the Internet of Things (IoT), security methods need improvisation to prevent data stealing. Since IoT transfers the various heterogeneous data such as video, text, data signals, and even voices, efficient security systems must overcome the various attacks in the networks. IoT is often connected with low power devices, and these devices are vulnerable to attacks as it contains low

Vitamin D deficiency has become a social problem in many countries as modern people’s indoor living time increases and their exposure to natural light shortens. In order to solve this problem, sun exposure is recommended. Outdoor activity guide service is provided by providing accurate UV-related information, while UV lighting technology is being developed in order to provide UV dose to indoor residents

Recently, virus diseases, such as SARS-CoV, MERS-CoV, and COVID-19, continue to emerge and pose a severe public health problem. These diseases threaten the lives of many people and cause serious social and economic losses. Recent developments in information technology (IT) and connectivity have led to the emergence of Internet of Things (IoT) and Artificial Intelligence (AI) applications in many industries

With the recent development and applications of the Internet of Things (IoT) paradigm, smart home concepts are prominent in providing reliable monitoring of people through remote access. The information and communication technologies are harmonized for providing comfortable assistance for elderly and home-cared peoples. The reliability of such smart home-based IoT networks is defaced due to multiple

This paper presents a systematic review of the literature on Tangible User Interfaces (TUIs) and interactions in young children’s education by identifying 155 studies published between 2001 and 2019. The review was based on a set of clear research questions addressing application domains, forms of tangible objects, TUI design and assessment. The results indicate that (i) the form of tangible object

Despite receiving a lot of scrutiny and criticism, security questions are still widely adopted. Although new techniques are continuously being proposed to improve fallback authentication (i.e. security questions design), little research investigated users’ security and memorability perceptions. Previous research found that users’ perceptions are important because they can impact the adoption of security

An Erratum to this paper has been published: https://doi.org/10.1007/s00779-021-01574-9

Cyber-surveillance and connected devices can be misused to monitor, harass, isolate, and otherwise, harm individuals. In particular, these devices gather high volumes of personal data such as account details with shared passwords, person’s behavior and preferences, movements by GPS, and audio-video recordings which can be maneuvered. It is therefore imperative to define approaches that help mitigate

Personal informatics tools can help users self-reflect on their experiences. When reflective thought occurs, it sometimes leads to negative thought and emotion cycles. To help explain these cycles, we draw from Psychology to introduce the concept of rumination—anxious, perseverative cognition focused on negative aspects of the self—as a result of engaging with personal data. Rumination is an important

These days, numerous medical services versatile applications are widely utilized which should be charged by the end-clients with paying BTC-cryptocurrency. These portable applications make a major organization of hubs towards the idea of Internet of Medical Things (IoMT) with basic security prerequisites that ought to be truly examined. Since its commencement in 2009, BTC-cryptocurrency has been buried

The development of cyberspace has brought about innumerable advantages for the mankind. However, it also came with several serious drawbacks; as cyberspace evolves, so does cybercrime. Since the birth of cyberspace, individuals, groups and whole nations have been engaging in computer-related offences of various significance and impact, trying to exploit systems’ vulnerabilities, disseminate malicious

This paper presents an empirical study of the social and cultural aspects of cybersecurity capacity building in 78 nations. While nations within geographically defined regions might be expected to share similar attitudes, values, and practices around cybersecurity, this analysis finds that regional differences can be explained largely by cross-national differences in development and the scale of Internet

New students face challenges when they make the transition from school to university. Existing digital technologies used during this transition can sometimes increase the stressors associated with change. In order to explore ways forward for technology design in this space, we developed a brochure of questionable concepts. The concepts were grounded in findings of our prior research, yet were also

The work described in this paper builds upon our previous research on adoption modelling and aims to identify the best subset of features that could offer a better understanding of technology adoption. The current work is based on the analysis and fusion of two datasets that provide detailed information on background, psychosocial, and medical history of the subjects. In the process of modelling adoption

Previous research has been carried out to identify the impediments that prevent developers from incorporating privacy protocols into software applications. No research has been carried out to find out why developers are not able to develop systems that preserve privacy while specifically considering the General Data Protection Regulation principles (GDPR principles). Consequently, this paper aims to

In cloud computing, the combinations of various computing units are globally separated, however, electronically connected. In recent years, the number of cloud users has adequately increased in the modern societies. In order to restrict the illegal access of the intruders, a strong user authentication is required for cloud computing environment. In this regard, in this paper, we came up with a computationally

Anytime, anywhere, anyone can collect not only personal information but also surrounding situation information from home or a vehicle on the move without being restricted by time and space. To this end, the need for various devices such as biosensors, wearable devices, and temperature sensors is increasing. In this circumstance, there are many problems with the interaction of multiple devices and data

Case-based learning (CBL) approaches are critical to the education of tomorrow’s executives and managers. CBL instigates critical discussion, draws out relevant experiences from students, encourages questioning of accepted practices, and creates dialogue between theory and practice. There is unfortunately a lack of quality teaching resources to support CBL in information security management (ISM).

User acceptance has been considered a crucial issue that should be present and understand before implementing any software product. Electronic personalized health records (e-PHR) has been developed and implemented in many countries around the worlds. However, it is essential to understand the existing factors that influence them to accept or reject this technology. While describing the user acceptance

A Correction to this paper has been published: https://doi.org/10.1007/s00779-021-01555-y

In this information age, with the emergence of organizations, the number of various resources on the Internet of Things is also increasing. Generally, different users have different access permissions to different resources and most of the existing schemes have realized access control. But most of them are rough and not feasible in many organizations. Moreover, traditional access control schemes adopted

Big data has a variety of data types, including image and text. In particular, image data-based research on face recognition and objection detection has been conducted in diverse areas. Deep learning needs a massive amount of data for learning a model accurately. The amount of data collected is different in each area, and thus it is likely to lack data for analysis through deep learning. Accordingly

Self-efficacy is the most frequently examined attribute in the adoption of Information Systems (IS) security innovations. Yet, the role of self-efficacy in the adoption of IS security innovations is ambiguous. The empirical studies that examined the factor have produced mixed and inconsistent results. Through a meta-analysis of 59 extant research, the study aggregated findings of the past research

The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global health calamity that has a profound impact on the way of perceiving the world and everyday lives. This has appeared as the greatest threat of the time for the entire world in terms of its impact on human mortality rate and many other societal fronts or driving forces whose estimations are yet to be known. Therefore

Smart walkers may be used to assist human navigation. However, social conventions and human behavior should be taken into consideration to allow their interaction with other people. This paper presents a navigation strategy for a smart walker with social conventions defined by proxemics, which uses an admittance controller to generate haptic and visual signals for a safe navigation within a corridor

A Correction to this paper has been published: https://doi.org/10.1007/s00779-021-01553-0

Human activity recognition (HAR) generates a massive amount of the dataset from the Internet of Things (IoT) devices, to enable multiple data providers to jointly produce predictive models for medical diagnosis. That the accuracy of the models is greatly improved when trained on a large number of datasets from these data providers on the untrusted cloud server is very significant and raises privacy

Aerial images are often applied into disaster area surveillance. High-resolution (HR) aerial images are preferred to monitor the disaster area since they can provide abundant information. However, limited by hardware device and imaging environment, the resolution of captured aerial images may not meet the needs of practical application. Image super-resolution (SR) is an effective way to improve the

Wireless body sensor network (WBSN) is an interdisciplinary field that could permit continuous health monitoring with constant clinical records updates through the Internet. WBAN is a special category of wireless networks. Coronavirus disease 2019 (COVID-19) pandemic creates the situation to monitor the patient remotely following the social distance. WBSN provides the way to effectively monitor the

Information security data breaches are becoming larger and more frequent. Incorporating information security into the culture of the information technology (IT) staff members that support these technologies is a key function that must be considered in parallel to improved security technology. The framework proposed in this paper considers focusing on cost-reducing products, services and structures

A Correction to this paper has been published: https://doi.org/10.1007/s00779-021-01537-0

This paper argues that a conventional approach to cybersecurity awareness is not effective in influencing employees and creating sustainable behaviour change. The increase in security incidents caused by employees is evidence that providing information to raise employees’ awareness does not necessarily result in improving their security behaviour, and organisations must transform their security awareness

Early childhood is the most important and rapid period of development in a human life as it is a period where the maturation of the brain and the central nervous system take place. In fact, researchers have established some theories and several studies indicating the relationship between brain maturity and learning disabilities. Nonetheless, when academic problems are present, therapy intervention

Human gait analysis is a well-defined technique for human identification and tracking at distance based on their walking style. It plays an important role in the video surveillance, medical, and defense applications. A number of sensors such as MEMS accelerators, gyroscopes, pressure, and position were deployed for measuring the different gait signals from the body and utilized for the different analysis

Electroencephalograph (EEG) is supposed to be a major challenge in the area of biomedical signal processing. Being one of the widely used invasive techniques, it is capable to find many cases of brain disorder problems like epileptic seizures and sleep disorder. This work follows the procedure of convergence computing where there are different computing techniques have been combined together to achieve

Recently, increasing importance has been given to neural tube defects (NTDs), considered a congenital disability that affects the brain and the spinal cord. NTD occurs because of genetic information passed from parents to children via genes that affect the brain region’s shape or function. Presently, minimum folate carrier (MFC A80G) gene polymorphism and maternal folic acid interactions are associated

Forward-backward doubly stochastic differential equations (FBDSDEs) are related to a type of quasi-linear parabolic stochastic partial differential equations (SPDEs). We propose a deep learning-based numerical algorithm for solving such equations. Using deep neural networks as approximations of the controls, we can deal with high-dimensional cases. Numerical experiments are carried out to demonstrate

Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps in the diagnosis, prediction, and prevention of COVID-19 and post-COVID-19 patients. Nowadays, the biomedical and clinical domains widely used the electromyography (EMG) signal due to its ability to differentiate various neuromuscular diseases

Wearable computing has a great prospect in smart healthcare applications. The emergence of the Internet of Things, Wireless Body Area Networks (WBANs), and big data processing open numerous challenges and opportunities. In healthcare, the monitoring is done by placing/implanting sensor nodes (resource-constrained devices) on a patient’s body to communicate data to a resource-rich node called a sink