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Predictive maintenance using digital twins: A systematic literature review
(
Elsevier
, 2022 , Article Review)
Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
(
JMIR Publications Inc.
, 2022 , Article Review)
Background: Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. To this aim, several mobile apps have been developed. However, there are ever-growing concerns over the working ...
Data analytics platforms for agricultural systems: A systematic literature review
(
Elsevier
, 2022 , Article Review)
With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ...
Metamorphic relation automation: Rationale, challenges, and solution directions
(
John Wiley and Sons Ltd
, 2022 , Article Review)
Metamorphic testing addresses the issue of the oracle problem by comparing results transformation from multiple test executions. The relationship that governs the output transformation is called metamorphic relation. ...
RESTful API Testing Methodologies: Rationale, Challenges, and Solution Directions
(
MDPI
, 2022 , Article Review)
Service-oriented architecture has evolved to be the backbone for large-scale integration between different applications and platforms. This concept has led to today's reality of cloud services. Many of the major business ...
Smart warehouses: Rationale, challenges and solution directions
(
MDPI
, 2022 , Article Review)
Smart warehouses aim to increase the overall service quality, productivity, and efficiency of the warehouse while minimizing costs and failures. In recent years, several studies have proposed and discussed different types ...
Deep learning for crop yield prediction: a systematic literature review
(
Taylor and Francis Ltd.
, 2022 , Article Review)
Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application ...
Software security management in critical infrastructures: a systematic literature review
(
Turkiye Klinikleri
, 2022 , Article Review)
Critical infrastructure (CI) is an integrated set of systems and assets that are essential to ensure the functioning of a nation, including its economy, the public's health and/or safety. Hence, protecting critical ...
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
(
Elsevier
, 2022 , Article Review)
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ...
When a disaster happens, we are ready: Location mention recognition from crisis tweets
(
Elsevier
, 2022 , Article Review)
Geolocation information is important for humanitarian organizations to gain situational awareness and deliver timely aid during disasters. Towards addressing the problem of recognizing locations, i.e., Location Mention ...