Search Results - "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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Modified grasshopper optimization framework for optimal power flow solution by Taher, Mahrous A., Kamel, Salah, Jurado, Francisco, Ebeed, Mohamed

“…This paper proposes a modified grasshopper optimization algorithm (MGOA) to solve the optimal power flow (OPF) problem. The conventional GOA is a recent…”
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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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Electric power system inertia: requirements, challenges and solutions by Rezkalla, Michel, Pertl, Michael, Marinelli, Mattia

“…The displacement of conventional generation by converter connected resources reduces the available rotational inertia in the power system, which leads to…”
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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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Classification of distribution power grid structures using inception v3 deep neural network by Stefenon, Stefano Frizzo, Yow, Kin-Choong, Nied, Ademir, Meyer, Luiz Henrique

“…To maintain the supply of electrical energy, it is necessary that failures in the distribution grid are identified during inspections of the electrical power…”
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Optimal allocation and sizing of renewable distributed generation using ant lion optimization algorithm by Ali, E. S., Abd Elazim, S. M., Abdelaziz, A. Y.

“…Renewable sources can provide a clean and smart solution to the increased demands. Thus, photovoltaic and wind turbine are considered here as sources 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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Enhanced bearing fault detection using multichannel, multilevel 1D CNN classifier by Ozcan, Ibrahim Halil, Devecioglu, Ozer Can, Ince, Turker, Eren, Levent, Askar, Murat

“…Electric motors are widely used in many industrial applications on account of stability, solidity and ease of use. Mechanical bearing faults have the highest…”
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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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Deep learning-based multilabel classification for locational detection of false data injection attack in smart grids by Mukherjee, Debottam, Chakraborty, Samrat, Ghosh, Sandip

“…With the recent advancement in smart grid technology, real-time monitoring of grid is utmost essential. State estimation-based solutions provide a critical…”
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Short-term electric power load forecasting using random forest and gated recurrent unit by Veeramsetty, Venkataramana, Reddy, K. Rajeshwar, Santhosh, M., Mohnot, Arjun, Singal, Gaurav

“…The main purpose of this paper is to develop an efficient machine learning model to estimate the electric power load. The developed machine learning model can…”
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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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