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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 ...
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 ...
Analysis of cyber security knowledge gaps based on cyber security body of knowledge
(
Springer
, 2022 , Article)
Due to the increasing number of cyber incidents and overwhelming skills shortage, it is required to evaluate the knowledge gap between cyber security education and industrial needs. As such, the objective of this study is ...
Hybrid Deep Learning-based Models for Crop Yield Prediction
(
Taylor and Francis Ltd.
, 2022 , Article)
Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must ...
Stress Detection Using Experience Sampling: A Systematic Mapping Study
(
MDPI
, 2022 , Article)
Stress has been designated the "Health Epidemic of the 21st Century" by the World Health Organization and negatively affects the quality of individuals' lives by detracting most body systems. In today's world, different ...
Applications of deep learning for mobile malware detection: A systematic literature review
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article Review)
For detecting and resolving the various types of malware, novel techniques are proposed, among which deep learning algorithms play a crucial role. Although there has been a lot of research on the development of DL-based ...
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-Based Defect Prediction for Mobile Applications
(
MDPI
, 2022 , Article)
Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects ...
Applications of deep learning for phishing detection: a systematic literature review
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Phishing attacks aim to steal confidential information using sophisticated methods, techniques, and tools such as phishing through content injection, social engineering, online social networks, and mobile applications. To ...
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 ...