Software Engineering
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CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays
(Springer, 2024)In recent years, the COVID-19 outbreak has affected humanity across the globe. The frequent symptoms of COVID-19 are identical to the normal flu, such as fever and cough. COVID-19 disseminates rapidly, and it has become a ... -
Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position
(Tech Science Press, 2023)Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ... -
A Compact Rat-Race Coupler with Harmonic Suppression for GSM Applications: Design and Implementation Using Artificial Neural Network
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)In this paper, a compact microstrip rat-race coupler at a 950 MHz operating frequency is designed, simulated, and fabricated. New branches are proposed in this design using high-/low- impedance open-ended resonators. In ... -
A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory
(Wiley-Hindawi, 2023)In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air ... -
Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification
(Institute of Electrical and Electronics Engineers Inc., 2023)Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ... -
Automatic Anomaly Monitoring in Public Surveillance Areas
(Tech Science Press, 2022)With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ... -
Analyzing the Effect of Driving Speed on the Performance of Roundabouts
(Zarka Private University, 2022)Roundabouts are introduced at intersections to improve traffic flow and enhance safety. Nevertheless, studies and field observations demonstrated that roundabouts, due to their special design, could significantly affect ... -
Smartphone Sensors Based Physical Life-Routine for Health Education
(Tech Science Press, 2022)The physical and the mental health of a human being largely depends upon his physical life-routine (PLR) and today’s much advanced technological methods make it possible to recognize and keep track of an individual’s PLR. ... -
Hand-Written Text Recognition Methods: Review Study
(International Information and Engineering Technology Association, 2022)The great and rapid development of information technology, Artificial Intelligent, and its daily uses in all areas of our life, requires keeping up with distinguished software tools especially those used in data entry. The ... -
Model-Driven Approach to Fading-Aware Wireless Network Planning Leveraging Multiobjective Optimization and Deep Learning
(Hindawi Limited, 2022)Efficient resource planning is recognized as one of the key enablers making the large-scale deployment of next-generation wireless networks available for mass usage. Modelling, planning, and software simulation tools reduce ... -
A framework for the regression testing of model-to-model transformations
(Wroclaw University of Science and Technology, 2021)Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ... -
Machine learning empowered software defect prediction system
(Tech Science Press, 2022)Production of high-quality software at lower cost has always been the main concern of developers. However, due to exponential increases in size and complexity, the development of qualitative software with lower costs is ... -
Test case prioritization for model transformations
(King Saud bin Abdulaziz University, 2021)The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, ... -
A petri net based Multi-Agent System behavioral testing
(Canadian Center of Science and Education, 2012)In Multi-Agent System (MAS), developers concentrate on creating design models and evolving them, from higher level models to lower level models, in several steps. Considerable part of MAS implementations is automatically ... -
Petri net based agent behavioral testing
(Science Publication, 2012)In Multi-Agent System (MAS), developers concentrate on creating design models and evolving them, from higher level models to lower level models, in several steps. Considerable part of MAS implementations is automatically ... -
AI Techniques for COVID-19
(Institute of Electrical and Electronics Engineers Inc., 2020)Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful ... -
Mitigating insider threats on the edge: A knowledgebase approach
(Zarka Private University, 2020)Insider Threats, who are cloud internal users, cause very serious problems, which in terns, leads to devastating attacks for both individuals and organizations. Although, most of the attentions, in the real world, is for ... -
Extending UML use case diagrams to represent non-interactive functional requirements
(Wroclaw University of Science and Technology, 2020)Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps ... -
Optimization of the application software in biomechanics and their contribution to the biological field
(Eastern Macedonia and Thrace Institute of Technology, 2019)Biomechanics refers to study of movement within dynamic biological systems. Advancement of computer software technologies such as JAVA language leads to combine stimuli and signals by biological systems and utilize them ... -
Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms
(Institute of Electrical and Electronics Engineers Inc., 2020)In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...