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Now showing items 21-30 of 34
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 ...
Precision nutrition: A systematic literature review
(
Elsevier
, 2021 , Article Review)
Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ...
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 ...
Systematic reviews in sentiment analysis: a tertiary study
(
Springer Science and Business Media B.V.
, 2021 , Article)
With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of people on different subjects. Sentiment analysis is the computational study of analysing people's ...
Techniques for calculating software product metrics threshold values: A systematic mapping study
(
MDPI
, 2021 , Article)
Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest ...
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 ...