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A typical Internet-of-Things (IoT) system consists of three major layers: 1) sensing; 2) communication; and 3) application (i.e., actuation and control) layers. The co-design of these layers has been studied for over two decades, dating back to the concept of communication, computing, and control, i.e., 3C, convergence in the 1990s. Nowadays, with the emergence of wireless-networked machine-type applications

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This paper investigates the functioning of Online Black-Markets (OBMs), i.e. a digital infrastructure operating in the Dark Net that enables the exchange of illegal goods such as drugs, weapons and fake digital identities. OBMs exist notwithstanding adverse conditions such as police interventions, scams and market breakdowns. Relying on a longitudinal case study, we focus on the dynamics of interactions

The amount of data and computing power has drastically increased over the last decade, which leads to the development of several new fronts in the field of Natural Language Processing (NLP). In addition to that, the entanglement of embeddings and large pre-trained models have pushed the field forward, covering a wide variety of tasks starting from machine translation to more complex tasks such as contextual

Among machine learning techniques, classification techniques are useful for various business applications, but classification algorithms perform poorly with imbalanced data. In this study, we propose a classification technique with improved binary classification performance on both the minority and majority classes of imbalanced structured data. The proposed framework is composed of three steps. In

There is a wide gender gap in developing countries due to a range of cultural, economic and political barriers. This is even more accentuated in post conflict economies in times of crisis. Smartphones and mobile applications can help to narrow this gap. The economic and non-economic challenges facing women entrepreneurs and the role of smartphone innovation in overcoming these challenges and developing

Visual surveillance has exponentially increased the growth of security devices and systems in the digital era. Gait-based person identification is an emerging biometric modality for automatic visual surveillance and monitoring as the walking patterns highly correlate to the subject’s identity. The scientific research on person identification using gait has grown dramatically over the past two decades

Social media enables medical professionals and authorities to share, disseminate, monitor, and manage health-related information digitally through online communities such as Twitter and Facebook. Simultaneously, artificial intelligence (AI) powered social media offers digital capabilities for organizations to select, screen, detect and predict problems with possible solutions through digital health

In this paper we aim to contribute to a better understanding of an emerging phenomenon of ‘liquid workforce’, which according to industry press, is rapidly growing. Our specific focus is on the broad research questions: How do liquid IT workers remain competitive? What are suitable strategies for their management and engagement? Using the research insights from the interviews with independent liquid

Domestic robots, also known as companion robots or social robots, are physical humanoid robots. They connect with online platforms which enhance their functionalities, such as voice and emotion recognition, human facial recognition, along with other Artificial Intelligence (AI) related capabilities make them special. People’s perceptions of robots are changing rapidly. The market for domestic robots

In order to provide a coherent overview of cyber security research, the Scopus academic abstract and citation database was mined to create a citation graph of 98,373 authors active in the field between 1949 and early 2020. The Louvain community detection algorithm was applied to the graph in order to identify existing research communities. The analysis discovered twelve top-level communities: access

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Despite a rigorous policy drive towards financial inclusion in Nigeria, and although the country has a high tele-density ratio, the vast unbanked largely poor remain excluded from the financial sector. Adopting a mixed method approach of the supplier and consumer sides of mobile money, using documentary analysis, focus groups, interviews, and surveys; this article relies on the diffusion of innovations

Constrained low-rank matrix approximations have been known for decades as powerful linear dimensionality reduction techniques able to extract the information contained in large data sets in a relevant way. However, such low-rank approaches are unable to mine complex, interleaved features that underlie hierarchical semantics. Recently, deep matrix factorization (deep MF) was introduced to deal with

This paper examines the continuous intention by healthcare professionals to use the Internet of Medical Things (IoMT) in combination with responsible artificial intelligence (AI). Using the theory of Diffusion of Innovation (DOI), a model was developed to determine the continuous intention to use IoMT taking into account the risks and complexity involved in using AI. Data was gathered from 276 healthcare

The prevalence of online user-generated content has attracted great interest in textual sentiment analysis, which provides a low-cost yet effective way to discern consumers and markets. A mainstream of sentiment analysis is to construct a classification model with Bag-of-Words (BoW) features, but the large vocabulary base and skewed distribution of term frequency consistently pose research challenges

Hosting conversational responses on the official websites of products and services companies is an essential marketing aspect. With Artificial Intelligence’s help to make conversational interactivity more intuitive to existing and potential customers visiting the websites, managers can notch up the return on marketing investments. This motivated us to study empirically and develop the MarkBot framework

With the overnight growth in Working from Home (WFH) owing to the pandemic, organisations and their employees have had to adapt work-related processes and practices quickly with a huge reliance upon technology. Everyday activities such as social interactions with colleagues must therefore be reconsidered. Existing literature emphasises that social interactions, typically conducted in the traditional

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The development and evolution of modern information and communication technologies is leading us to the fourth industrial revolution, in which the Industrial Internet of Things (IIoT) is assumed to be one of the key aspects to realize Industry 4.0. Federated learning facilitates the implementation of secure platform with consideration on data privacy to support IIoT. Many researchers and practitioners

Advertisement: TechRxiv is a free preprint server for unpublished research in electrical engineering, computer science, and related technology. TechRxiv provides researchers the opportunity to share early results of their work ahead of formal peer review and publication. Benefits: Rapidly disseminate your research findings; Gather feedback from fellow researchers; Find potential collaborators in the

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Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity. Nevertheless, organizations are still struggling to adopt and leverage

Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can

In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of the latest technologies. First, we introduce the general background of Distributed Computing and propose a layered top–bottom classification of the latest available software. Next

Privacy protection has received a lot of attention in recent years since in the era of big data, abundant information about individuals can be easily acquired. Meanwhile, as a prerequisite for effective privacy protection, the measurement of privacy disclosure is essential. Although some work has been done on the evaluation of privacy disclosure via quantification for the protection of privacy, not

When robots are used as part of meaningful play, for example to enhance wellbeing, they can be considered “serious toys”. Our study examines the potential of robotic pet toys viewed as companions, which activate social and emotional experiences of the elderly by increasing their wellbeing. In order to study the benefits of using Golden Pup, a commercial robot dog, we designed and performed a research

Computing path queries such as the shortest path in public transport networks is challenging because the path costs between nodes change over time. A reachability query from a node at a given start time on such a network retrieves all points of interest (POIs) that are reachable within a given cost budget. Reachability queries are essential building blocks in many applications, for example, group recommendations

This review aims to present a survey of the technologies and methodologies used in the phonocardiogram (PCG) biometric systems. The phases used in the PCG which are explored in this paper include data acquisition, de-noising, extracting PCG peaks, feature extraction, feature reduction, classification, and evaluation. As part of this study, we performed a systematic review that summarizes the well-known

Ever since databases became an ubiquitous part of enterprises or businesses, security and privacy became a requirement. Traditionally, privacy was realized through various methods of database access control and relied much on the use of statically defined views, which are essentially logical constructs imposed over database tables that can alter or restrict the data that can be viewed by an user. Privacy

Understanding student sentiment plays a vital role in understanding the changes that could or should be made in curriculum design at university. Learning Analytics (LA) has shown potential for improving student learning experiences and supporting teacher inquiry. Yet, there is limited research that reports on the adoption and actual use of LA to support teacher inquiry. This four-year longitudinal

This paper tests the meta-analysis based unified theory of acceptance and use of technology (meta-UTAUT) model to predict the behavioral intentions of organizational users and their use behavior to artificial intelligence (AI) integrated customer relationship management (CRM) systems. Data was collected from 315 organizational users in India. The hypotheses draw on the theoretical underpinnings which

Fog computing refers to cloud computing development to the edge of a corporate network. Fog computing, as a promising computing paradigm, facilitates computing, storing and network services between terminal devices and cloud computing data centers. It also brings many advantages to cloud computing and large-scale deployment of IoT applications such as low latency, data locality, location-awareness

Online impulsive buying has become increasingly prevalent in e-commerce and social commerce research, yet there is a paucity of systematically examining this particular phenomenon in the paradigm of information systems. To advance this line of research, this study aims to gain insight into online impulsive buying through a meta-analysis of relevant research. Derived from 54 articles, this meta-analysis

The use of artificial intelligence (AI) in the healthcare field is gaining popularity. However, it also raises some concerns related to privacy and ethical aspects that require the development of a responsible AI framework. The principle of responsible AI states that artificial intelligence-based systems should be considered a part of composite societal and technological systems. This study attempts

Propelled by digitalisation, crowd knowledge (CK) has gained popularity alongside a plurality of related crowd-based concepts (crowdsourcing, wisdom of crowds and collective intelligence), resulting in an inconsistent understanding of the terms and their application. Based on a structured literature review, we conceptualise CK and develop a formal definition, which is then evaluated using knowledge

Observing how humans and robots interact is an integral part of understanding how they can effectively coexist. This ability to undertake these observations was taken for granted before the COVID-19 pandemic restricted the possibilities of performing HRI study-based interactions. We explore the problem of how HRI research can occur in a setting where physical separation is the most reliable way of

Recently, the topic of research data management has appeared at the forefront of Open Science as a prerequisite for preserving and disseminating research data efficiently. At the same time, scientific laboratories still rely upon digital files that are processed by experimenters to analyze and communicate laboratory results. In this study, we first apply a forensic process to investigate the information

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Recently, the Internet of Things (IoT) technologies have made their entrances into many fields, such as smart city, healthcare, intelligent transportation, forest protection, and environmental monitoring.

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The papers in this special section explores the state-of-the-art advances in adopting blockchain technologies for the Industrial Internet of Things (IIoT). There is a growing trend of adopting blockchain technologies to the IIoT due to the traceability, nonrepudiation, and immutability of blockchain systems. The proliferation of IIoT to industrial systems is fostering the fourth industrial revolution

When IoT meets Industry 4.0, we talk about Industrial Internet of Things (IIoT) or the use of typical Internet of Things (IoT) solutions in the industrial sector, integrating different technologies such as machine learning, big data and analytics, sensor data, Machine to Machine communication (M2M) and automation. Its application within the fourth industrial revolution has initiated a profound change

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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