Neutral point clamped inverter for enhanced grid connected PV system performance based on hexagonal space vector modulation by R. Palanisamy, K. Vijayakumar, Mohammad Imtiyaz Gulbarga, Mohammed Al Awadh, Liew Tze Hui

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Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing by Muhammad Noman Sohail, Adeel Anjum, Iftikhar Ahmed Saeed, Madiha Haider Syed, Axel Jantsch, Semeen Rehman

“…Researchers presented cloud computing and fine-grained access control to overcome these challenges. …”
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Determination of Flood Subsidy (2023/2024) Based on SAR Images for Agricultural Land in Lower Saxony, Germany by C.-H. Yang, C. Stemmler, C. Röttger, C. Büker

“…The workflow is designed to integrate modules from SNAP and custom algorithms on a cloud-computing platform, generating backscatter coefficients to distinguish flooded and non-flooded areas. …”
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IoT in urban development: insight into smart city applications, case studies, challenges, and future prospects by Sayeed Salih, Abdelzahir Abdelmaboud, Omayma Husain, Abdelwahed Motwakel, Hashim Elshafie, Mahir Sharif, Mosab Hamdan

“…Through the integration of sensors, cell phones, artificial intelligence (AI), data analytics, and cloud computing, smart cities worldwide are evolving to be more efficient, productive, and responsive to their residents’ needs. …”
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Inter-Cloud Data Security Framework to Build Trust Based on Compliance with Controls by Syed Imran Akhtar, Abdul Rauf, Muhammad Faisal Amjad, Ifra Batool

“…Prospects of cloud computing as a technology that optimizes resources, reduces complexity, and provides cost-effective solutions to its consumers are well established. …”
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A Hybrid Approach to Cloud Data Security Using ChaCha20 and ECDH for Secure Encryption and Key Exchange by Rebwar Khalid Muhammed, Zryan Najat Rashid, Shaida Jumaah Saydah

“… Cloud computing has transformed data storage and processing by offering on-demand resources and global accessibility. …”
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Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features by Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal

“…Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving dispatching rules for JSS, offering an automated approach to heuristic generation. …”
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Blockchain-Based Traceable Multi-Level Revocation Attribute-Based Encryption by Zhigang Xu, Tiantian Pan, Hongmu Han, Xinhua Dong, Zhongpeng Wang, Miaomiao He

“…With the development of cloud computing and big data, data security and privacy protection in multi-user environments have become particularly important. …”
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Fueling the development of elderly care services in China with digital technology: A provincial panel data analysis by Jiaxin He, Dangchen Sui, Lingpeng Li, Xinyan Lv

“…Objective: This study aims to investigate the transformative potential of digital technology, which includes innovations such as e-commerce, cloud computing, and artificial intelligence, on elderly care cervices in China. …”
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An authorizable and preprocessable data transmission scheme based on elliptic curves by Zhongshan Zhu, Liutao Zhao, Yong Pan, Xiaojuan Lu, Zheng Wang, Fanyin Meng

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Low Insertion Loss and Non-Blocking Microring-Based Optical Router for 3D Optical Network-on-Chip by Pengxing Guo, Weigang Hou, Lei Guo, Qiang Yang, Yifan Ge, Hang Liang

“…With the advent of complex computing applications such as cloud computing and artificial intelligence, the utilization of multicore processors has become one of the best solutions to improve the computation performance. …”
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Mitigating the Impact of Satellite Vibrations on the Acquisition of Satellite Laser Links Through Optimized Scan Path and Parameters by Muhammad Khalid, Wu Ji, Deng Li, Li Kun

“…In the past two decades, there has been a tremendous increase in demand for services requiring a high bandwidth, a low latency, and high data rates, such as broadband internet services, video streaming, cloud computing, IoT devices, and mobile data services (5G and beyond). …”
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Radiology AI and sustainability paradox: environmental, economic, and social dimensions by Burak Kocak, Andrea Ponsiglione, Valeria Romeo, Lorenzo Ugga, Merel Huisman, Renato Cuocolo

“…Data storage and cloud computing further exacerbate the environmental impact. …”
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Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…The key technologies identified included big data analytics, Artificial Intelligence, Machine Learning, the Internet of Things, Wireless Sensor Networks, Edge and Cloud Computing, Blockchain, Digital Twins, and Geographic Information Systems. …”
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Mapping of Flood Impacts Caused by the September 2023 Storm Daniel in Thessaly’s Plain (Greece) with the Use of Remote Sensing Satellite Data by Triantafyllos Falaras, Anna Dosiou, Stamatina Tounta, Michalis Diakakis, Efthymios Lekkas, Issaak Parcharidis

“…The study uses multiple Sentinel-1, Sentinel-2, and Landsat 8/9 satellite images based on backscatter histogram statistics thresholding for SAR and Modified Normalized Difference Water Index (MNDWI) for multispectral images to delineate the extent of flooded areas triggered by the 2023 Storm Daniel in Thessaly region (Greece). Cloud computing on the Google Earth Engine (GEE) platform is utilized to process satellite image acquisitions and track floodwater evolution dynamics until the complete drainage of the area, making the process significantly faster. …”
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Synergy of Energy Efficiency and Industry 4.0 in the Post-War Modernization of Ukraine by Sydorenko Oleksandr M.

“…The prospects for the use of AI technologies, cloud computing, big data, industrial Internet of Things, cyber-physical systems and their impact on reducing energy consumption, improving performance indicators and increasing the level of energy security are considered. …”
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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

“…The paper addresses the limitations of cloud computing systems. It proposes and replaces a fog computing architecture in supporting low latency for healthcare applications. …”
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Brokel: Towards enabling multi-level cloud elasticity on publish/subscribe brokers by Vinicius Facco Rodrigues, Ivam Guilherme Wendt, Rodrigo da Rosa Righi, Cristiano André da Costa, Jorge Luis Victória Barbosa, Antonio Marcos Alberti

“…At scalability viewpoint, cloud computing and its main feature named resource elasticity appear as an alternative to solve the use of over-provisioned clusters, which normally present a fixed number of resources. …”
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Machine Learning-enhanced loT and Wireless Sensor Networks for predictive analysis and maintenance in wind turbine systems by Lei Gong, Yanhui Chen

“…This research recommends an Internet of Things-WSN model for PM comprised of three distinct phases: the primary phase is the collection of data via sensors, the second phase is the transmission of that data through a connection to the Internet, and the final phase is the implementation of data analytics on that data in the context of cloud computing. For PM analytics, this work introduces a Predictive Maintenance Convolutional Long Short-Term Memory (PM-C-LSTM) model that combines the spatial pattern recognition capabilities of a Convolutional Neural Network with the sequential data prowess of LSTM networks. …”
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The Role of Cloud Technologies in Modern Development of Banking Institutions by Serhiy Shkarlet, Maksym Dubyna, Roman Shchur, Olena Shyshkina

“…In addition, the role of cloud computing technologies in the modern development of banking institutions in the informational security system was analyzed. …”
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