Search Results - "Computers & electrical engineering"

Industrial internet of things: Recent advances, enabling technologies and open challenges by Khan, W.Z., Rehman, M.H., Zangoti, H.M., Afzal, M.K., Armi, N., Salah, K.

“…The adoption of emerging technological trends and applications of the Internet of Things (IoT) in the industrial systems is leading towards the development of…”
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The core components of education 4.0 in higher education: Three case studies in engineering education by Miranda, Jhonattan, Navarrete, Christelle, Noguez, Julieta, Molina-Espinosa, José-Martin, Ramírez-Montoya, María-Soledad, Navarro-Tuch, Sergio A., Bustamante-Bello, Martín-Rogelio, Rosas-Fernández, José-Bernardo, Molina, Arturo

“…•The concept and vision of Education 4.0 in higher education are presented.•Four core components are integrated to shape the proposed concept of Education 4.0:…”
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Identification of plant leaf diseases using a nine-layer deep convolutional neural network by G, Geetharamani, J, Arun Pandian

“…•We proposed a 9-layer deep convolutional neural network for leaf disease identification.•We used six different types of image augmentation methods, and…”
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Anomaly-based intrusion detection system for IoT networks through deep learning model by Saba, Tanzila, Rehman, Amjad, Sadad, Tariq, Kolivand, Hoshang, Bahaj, Saeed Ali

“…•Categorized the attacks through the deep-learning method employing existing datasets.•Proposed a framework to add IDS as a program within IoT…”
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A survey on feature selection methods by Chandrashekar, Girish, Sahin, Ferat

“…[Display omitted] •We aim to provide a survey on feature selection methods with an introductory approach.•We focus on various approaches and algorithms of…”
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Cyber-security in smart grid: Survey and challenges by Mrabet, Zakaria El, Kaabouch, Naima, Ghazi, Hassan El, Ghazi, Hamid El

“…Smart grid uses the power of information technology to intelligently deliver energy by using a two-way communication and wisely meet the environmental…”
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Deep convolutional neural networks for diabetic retinopathy detection by image classification by Wan, Shaohua, Liang, Yan, Zhang, Yin

“…Diabetic retinopathy (DR) is a common complication of diabetes and one of the major causes of blindness in the active population. Many of the complications of…”
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Fog computing for Healthcare 4.0 environment: Opportunities and challenges by Kumari, Aparna, Tanwar, Sudeep, Tyagi, Sudhanshu, Kumar, Neeraj

“…Internet of things provides interaction with billions of objects across the world using the Internet. In Internet of thing era, Healthcare Industry has…”
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Survey for smart farming technologies: Challenges and issues by Idoje, Godwin, Dagiuklas, Tasos, Iqbal, Muddesar

“…Internet of Things (IoT) has been a major influence in Agriculture since its application to the sector. This paper provides an extensive review of the use of…”
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A drone-based data management and optimization using metaheuristic algorithms and blockchain smart contracts in a secure fog environment by Khan, Abdullah Ayub, Laghari, Asif Ali, Gadekallu, Thippa Reddy, Shaikh, Zaffar Ahmed, Javed, Abdul Rehman, Rashid, Mamoon, Estrela, Vania V., Mikhaylov, Alexey

“…The advent of fog computing as an extension of cloud-enabling technology has moved from the hub of the internet framework to the unmanned aerial vehicle…”
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Decentralized document version control using ethereum blockchain and IPFS by Nizamuddin, N., Salah, K., Ajmal Azad, M., Arshad, J., Rehman, M.H.

“…In this paper, we propose a blockchain-based solution and framework for document sharing and version control to facilitate multi-user collaboration and track…”
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Machine learning aided Android malware classification by Milosevic, Nikola, Dehghantanha, Ali, Choo, Kim-Kwang Raymond

“…•Machine learning aided Android malware classification.•OWASP Seraphimdroid Android app.•Source code analysis utilizing a bag-of-words representation…”
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Modified Alexnet architecture for classification of diabetic retinopathy images by Shanthi, T., Sabeenian, R.S.

“…Diabetic retinopathy (DR) is an illness occurring in the eye due to increase in blood glucose level. Among people in the age group of 70, 50% of deaths are…”
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A review of reinforcement learning for autonomous building energy management by Mason, Karl, Grijalva, Santiago

“…The area of building energy management has received a significant amount of interest in recent years. This area is concerned with combining advancements in…”
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Deep learning in big data Analytics: A comparative study by Jan, Bilal, Farman, Haleem, Khan, Murad, Imran, Muhammad, Islam, Ihtesham Ul, Ahmad, Awais, Ali, Shaukat, Jeon, Gwanggil

“…Deep learning methods are extensively applied to various fields of science and engineering such as speech recognition, image classifications, and learning…”
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An object tracking framework with recapture based on correlation filters and Siamese networks by Zhang, Jianming, Sun, Juan, Wang, Jin, Li, Zongping, Chen, Xi

“…Recently, both correlation filters-based and Siamese-based trackers have achieved great progress in the field of visual object tracking. Whereas, some trackers…”
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Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques by Mihoub, Alaeddine, Fredj, Ouissem Ben, Cheikhrouhou, Omar, Derhab, Abdelouahid, Krichen, Moez

“…IoT (Internet of Things) systems are still facing a great number of attacks due to their integration in several areas of life. The most-reported attacks…”
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Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine by Khan, Muhammad Attique, Kadry, Seifedine, Zhang, Yu-Dong, Akram, Tallha, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila

“…In this work, we propose a deep learning framework for the classification of COVID-19 pneumonia infection from normal chest CT scans. In this regard, a…”
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Security and channel noise management in cognitive radio networks by Haldorai, Anandakumar, Ramu, Arulmurugan

“…The Spectrum Channel Noise is a pseudorandom or random computational process in a manner that allows the security competence of the available spectrum…”
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Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system by Ravi, Vinayakumar, Chaganti, Rajasekhar, Alazab, Mamoun

“…This work proposes an end-to-end model for network attack detection and network attack classification using deep learning-based recurrent models. The proposed…”
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