Engineering Cyber-Physical Systems and Critical Infrastructures
Volume 1 / 2023 to Volume 10 / 2024
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Article
Retraction Note: An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
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Article
Open AccessGenetic electro-search optimization for optimum energy consumption in edge computing-based internet of healthcare things
Energy consumption is a vital issue when optimum usage and carbon footprint are all considered in today’s Internet of Things (IoT) environments. Considering edge computing, that becomes too critical in terms o...
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Book Series
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Book and Conference Proceedings
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0
Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1
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Book and Conference Proceedings
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0
Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2
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Article
SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble
Fake COVID-19 tweets are dangerous since they are misinformative, completely inaccurate, as threatening the efforts for flattening the pandemic curve. Thus, aside the COVID-19 pandemic, dealing with fake news ...
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Chapter
Systematic Literature Review in Using Big Data Analytics and XAI Applications in Medical
Big data is used by many different scientific fields, starting primarily in the field of engineering. Although big data provides humanity with many advantages, it has also brought the term data control to the ...
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Chapter
Explainable Artificial Intelligence (XAI) with IoHT for Smart Healthcare: A Review
Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly contentious topic. AI-powered systems may be superior at certain analytical tasks, but their lack of explanation con...
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Chapter
An Interpretable Environmental Sensing System with Unmanned Ground Vehicle for First Aid Detection
Today, as a result of the development of remote sensing techniques, the importance of using sensing sensors on unmanned ground vehicles (UGVs) has increased. Develo** sensor technologies are used in many dif...
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Book and Conference Proceedings
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Book
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Book
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Book and Conference Proceedings
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Book and Conference Proceedings
Deep Sciences for Computing and Communications
First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers
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Chapter and Conference Paper
Recent Advancement in Pancreatic Cancer Diagnosis Using Machine Learning-Based Methods: A Systematic Review
Pancreatic cancer is a leading cause of mortality worldwide, which usually occurs due to atypical growth of some cells in pancreas or its nearby organ. Moreover, due to its location in abdomen and smaller size...
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Chapter
Security Issues in Artificial Intelligence Use for Metaverse and Digital Twin Setups
Metaverse ensures a critical role on transforming the real life into a virtual environment, where people are able to shop, work, play, and communicate via 3D user interfaces as well as VR/AR devices. Appointed...
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Article
A novel image Denoising approach using super resolution densely connected convolutional networks
Image distortion effects, called noise, may occur due to various reasons such as image acquisition, transfer, and duplication. Image denoising is a preliminary step for many studies in the field of image proce...
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Article
Numerical Grad-Cam Based Explainable Convolutional Neural Network for Brain Tumor Diagnosis
Since the start of the current century, artificial intelligence has gone through critical advances improving the capabilities of intelligent systems. Especially machine learning has changed remarkably and caus...
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Article
An efficient malware detection approach with feature weighting based on Harris Hawks optimization
This paper introduces and tests a novel machine learning approach to detect Android malware. The proposed approach is composed of Support Vector Machine (SVM) classifier and Harris Hawks Optimization (HHO) alg...
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Article
IoHT-based deep learning controlled robot vehicle for paralyzed patients of smart cities
Paralysis caused by physical trauma is a common disease today, with approximately 30% of paralysis caused by this trauma. The disease in question both physically restricts mobility and brings along psychologic...
