Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

“…The system provides dynamic visualisation and real-time tracking of emergency scenarios through the integration of geographical information systems (GIS) and the utilisation of cloud computing resources. This framework not only improves immediate response capabilities but also aids in strategic planning by providing actionable insights into potential future events. …”
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A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring by Ali H. Hassan, Elsadig Musa Ahmed, Jamal M. Hussien, Riza bin Sulaiman, Mansoor Abdulhak, Hasan Kahtan

“…These components use four leading technologies: blockchain for secure data handling, B5G network function virtualizations, edge-cloud computing for scalable and flexible data processing and AI to deliver insights into the model’s data. …”
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A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

“…However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data processing, they also face an expanded attack surface and growing cybersecurity threats.MethodsThis paper presents a comprehensive threat modeling and risk assessment approach tailored to smart city environments. …”
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Data Integration and Analytics in the Dairy Industry: Challenges and Pathways Forward by Victor E. Cabrera, Jeffrey Bewley, Mitch Breunig, Tom Breunig, Walt Cooley, Albert De Vries, Robert Fourdraine, Julio O. Giordano, Yijing Gong, Randall Greenfield, Haowen Hu, Andy Lenkaitis, Mutian Niu, Eduardo A. F. Noronha, Michael Sullivan

“…Additional recommendations involve improving data exchange standards, addressing interoperability issues, and leveraging advanced technologies, such as artificial intelligence and cloud computing. Emphasis is placed on localized data integration solutions for farm-level benefits and broader research applications to advance sustainability, traceability, and profitability within the dairy supply chain. …”
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MultiPoint: Enabling scalable pre-silicon performance evaluation for multi-task workloads by Chenji Han, Xinyu Li, Feng Xue, Weitong Wang, Yuxuan Wu, Wenxiang Wang, Fuxin Zhang

“…With the core numbers integrated within single processors growing and the fast development of cloud computing, performance evaluation for multi-core systems is increasingly crucial. …”
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Cloud Survivability Scenarios Under Attacks With and Without Countermeasures by Rachid Beghdad, Faiza Benmenzer, Alaa Eddine Khalfoune

“…Background: Despite its increasing importance, cloud computing is vulnerable to Distributed Denial of Service (DDoS) attacks, affecting data centre availability and functionality. …”
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A hybrid Spatial Ant Lion optimization and utilitarian data transmission approach for intelligent optimization for energy-efficient wireless sensor networks by Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, C N Vanitha, Md Shohel Sayeed

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Methodological approaches for research of local market of IT services in the information space of region by I. V. Antokhonova, O. A. Polukhina, L. N. Saibonova

“…Development of information society is characterized by tendencies of promotion of mobile services, artificial intelligence, socialization, use of a cloud computing and is followed by involvement of households, state management and business in a common information space. …”
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Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques by Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz

“…Traditional solutions tend to use standard techniques like basic data wrapping and cryptographic 'rings'; but, due to the design properties required, they end up as lightweight mechanisms, usually not interpretation-at-all capable because of the need for protecting data during processing - leaving these applications hard to use and maintain long-term, or otherwise, limited to cloud computing and federated learning, when individual data types can be worked on within providers like AWS, Azure, etc, etc; or, even, explaining the results with near total indifference to the underlying big data tools, analytics, or neural architectures. …”
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Adaptively secure, splittable, and robust threshold unsigncryption by Yuxin Tong, Shimin Li, Zhiwei Wang, Rui Zhang, Rui Xue

“…Abstract As a variant of the signcryption scheme, threshold unsigncryption operates among multiple receiver members through a (t, n) threshold process during the unsigncryption phase to improve security and robustness, and has been widely deployed in various applications such as cloud computing, blockchain, and electronic auctions. …”
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Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System by Imran Latif, Alex C. Newkirk, Matthew R. Carbone, Arslan Munir, Yuewei Lin, Jonathan Koomey, Xi Yu, Zhihua Dong

“…The expansion of artificial intelligence (AI) applications has driven substantial investment in computational infrastructure, especially by cloud computing providers. Quantifying the energy footprint of this infrastructure requires models parameterized by the power demand of AI hardware during training. …”
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Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art by Ocident Bongomin, Aregawi Yemane, Brendah Kembabazi, Clement Malanda, Mwewa Chikonkolo Mwape, Nonsikelelo Sheron Mpofu, Dan Tigalana

“…The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. …”
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Research on Urban Traffic Signal Control Systems Based on Cyber Physical Systems by Li-li Zhang, Qi Zhao, Li Wang, Ling-yu Zhang

“…Firstly, the fusion architecture of private cloud computing and edge computing is proposed for the first time, which effectively improves the performance of software and hardware of the urban road traffic signal control system and realizes information security perception and protection in cloud and equipment, respectively, within the fusion framework; secondly, using the concept of parallel system, the depth of real-time traffic control subsystem and real-time simulation subsystem is realized. …”
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Planning Energy-Efficient Smart Industrial Spaces for Industry 4.0 by Viviane Bessa Ferreira, Raphael de Aquino Gomes, José Luis Domingos, Regina Célia Bueno da Fonseca, Thiago Augusto Mendes, Georgios Bouloukakis, Bruno Barzellay Ferreira da Costa, Assed Naked Haddad

“…The fourth industrial revolution (Industry 4.0) and digital transformation are not just buzzwords; they offer real opportunities for energy sustainability, using technologies such as cloud computing, artificial intelligence, and the Internet of Things (IoT). …”
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Design in Modern Information Systems by Applying Cloud Technologies by Tigariev V., Lopakov O., Rybak O., Kosmachevskiy V., Cioată V. G.

“…In this paper, the protective mask was created by applying modern cloud computing technologies using information models. …”
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Spatiotemporal dynamics and driving mechanisms of wetlands in arid regions of Xinjiang by Yue Ding, Jianli Ding, Jinjie Wang, Lijing Han, Jiao Wang, Xiangyue Chen, Xiangyu Ge

“…Wetland maps were generated at 10-year intervals using the Google Earth Engine cloud computing platform. The complex relationships between natural environmental factors and human activities influencing wetland change were quantitatively analyzed using the partial least squares-path modeling (PLS-PM). …”
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Amazon Web Service–Google Cross-Cloud Platform for Machine Learning-Based Satellite Image Detection by David Pacios, Sara Ignacio-Cerrato, José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Nikolaos Schetakis, Konstantinos Stavrakakis, Alessio Di Iorio, Jorge J. Gomez-Sanz, Luis Vazquez

“…Satellite image analysis is a critical component of Earth observation and satellite data analysis, providing detailed information on the effects of global events such as the COVID-19 pandemic. Cloud computing offers a flexible way to allocate resources and simplifies the management of infrastructure. …”
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Spatio-temporal data fusion techniques for modeling digital twin City by Yuejin Li, Shengpeng Chen, Kai Hwang, Xiaoqiang Ji, Zhen Lei, Yi Zhu, Feng Ye, Mengjun Liu

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A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems by Arvind R. Singh, M. S. Sujatha, Akshay D. Kadu, Mohit Bajaj, Hailu Kendie Addis, Kota Sarada

“…The framework leverages both historical and real-time data for proactive power flow management, while IoT-enabled sensors ensure continuous monitoring and low-latency response through edge and cloud computing infrastructure. Experimental results validate the effectiveness of ORA-DL, achieving 93.38% energy demand prediction accuracy, improving grid stability to 96.25%, and reducing energy wastage to 12.96%. …”
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Diversity, functionality, and stability: shaping ecosystem multifunctionality in the successional sequences of alpine meadows and alpine steppes on the Qinghai-Tibet Plateau by Xin Jin, Abby Deng, Yuejun Fan, Kun Ma, Yangan Zhao, Yingcheng Wang, Kaifu Zheng, Xueli Zhou, Guangxin Lu

“…Recent investigations on the Tibetan Plateau have harnessed advancements in digital ground vegetation surveys, high temporal resolution remote sensing data, and sophisticated cloud computing technologies to delineate successional dynamics between alpine meadows and alpine steppes. …”
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