Computer Science & Engineering: Recent submissions
Now showing items 901-920 of 2402
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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 ... -
A hybrid DNN-LSTM model for detecting phishing URLs
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users' important ... -
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 ... -
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 ... -
ADS-B Attack Classification using Machine Learning Techniques
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Automatic Dependent Surveillance Broadcast (ADS-B) is one of the most prominent protocols in Air Traffic Control (ATC). Its key advantages derive from using GPS as a location provider, resulting in better location accuracy ... -
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 ... -
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 ... -
Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review
( MDPI , 2022 , Article Review)Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ... -
Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review
( MDPI , 2022 , Article Review)Smartphone adaptation in society has been progressing at a very high speed. Having the ability to run on a vast variety of devices, much of the user base possesses an Android phone. Its popularity and flexibility have ... -
Design of a data management reference architecture for sustainable agriculture
( MDPI , 2021 , Article)Effective and efficient data management is crucial for smart farming and precision agri-culture. To realize operational efficiency, full automation, and high productivity in agricultural systems, different kinds of data ... -
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 ... -
Computer vision-based weight estimation of livestock: a systematic literature review
( Taylor and Francis Ltd. , 2022 , Article Review)Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. To this end, several methods have been researched and implemented to automate this process. In this study, we performed a ... -
Image-based body mass prediction of heifers using deep neural networks
( Academic Press , 2021 , Article)Manual weighing of heifers is time-consuming, labour-intensive, expensive, and can be dangerous and risky for both humans and animals because it requires the animal to be stationary. To overcome this problem, automated ... -
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 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 ... -
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 ... -
Malware detection based on graph attention networks for intelligent transportation systems
( MDPI , 2021 , Article)Intelligent Transportation Systems (ITS) aim to make transportation smarter, safer, reliable, and environmentally friendly without detrimentally affecting the service quality. ITS can face security issues due to their ... -
Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review
( MDPI , 2022 , Article Review)In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for ... -
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 ... -
The automation of the development of classification models and improvement of model quality using feature engineering techniques
( Elsevier , 2023 , Article)Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. In this article, we propose a ...
