Insights into the Enhancement Mechanisms of Molten Salt Nanofluids by Xiong Yaxuan, Wang Huixiang, Wang Zhenyu, Wu Yuting, Xu Qian, Wang Gang, Li Chuan, Ding Yulong, Ma Chongfang

“…Innovatively, formation mechanisms of molten salt nanofluids were proposed based on cloud nuclei to explain the different enhancements in this work.…”
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Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review by S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty

“…Significant emphasis is placed on analyzing different IDS training paradigms-centralized, distributed, and federated learning-and deployment strategies, including in cloud, fog, and edge layers. Their effectiveness within IoT contexts is evaluated comprehensively. …”
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Using Internet of Things for Child Care: A Systematic Review by Saeed Saeedbakhsh, Maryam Mohammadi, Sarina Younesi, Mohammad Sattari

“…Diverse approaches, including cloud computing and machine vision, are applied in this innovative field. …”
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Leveraging IoT and industry 4.0 for enhanced environmental safety by Javad Pourqasem, Duško Tešić, Eisa Abdolmaleki

“…The got information is shipped off the cloud by utilizing IoT based Think Speak application to screen the nature of the water.…”
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Influence of target area density parameter and electrostatic pulse width modulation variable nozzle on physical characteristics of precision spray by Lin Zhen, Liang Shengkai, Xie Jinye, Tian Shuo

“…Using different environmental protection liquid, the point cloud density detected by the laser Light Detection and Ranging (LiDAR) sensor was used to test different targets and obtain the physical parameter of area density. …”
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A Novel Maximum Power Point Tracking Algorithm Based on Glowworm Swarm Optimization for Photovoltaic Systems by Wenhui Hou, Yi Jin, Changan Zhu, Guiqiang Li

“…In addition, the changes of the environmental parameters, such as cloud cover, plant shelter, and the building block, will lead to the radiation change and then have a direct effect on the location of MPP. …”
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Battery Prognostics and Health Management: AI and Big Data by Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao

“…By harnessing technologies such as big data analytics, cloud computing, the Internet of Things (IoT), and deep learning, AI provides robust, data-driven solutions for capturing and predicting battery degradation. …”
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On the Age Calibration of Open Clusters Using Red Clump Stars by Abigail R. Chriss, Guy Worthey

“…We also compute d _B _− _R for five fields surrounding Small Magellanic Cloud clusters. We find that the trend derived from older clusters does not extrapolate to younger ages and becomes double valued. …”
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Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms by Hanbo Zhu, Changqing Miao

“…Finally, the probabilistic seismic demand analysis (PSDA) and seismic fragility analysis were performed by the cloud-stripe method. Taking the pier of a three-span continuous reinforced concrete hollow slab bridge as an example, a nonlinear finite element model was established for vulnerability analysis. …”
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Evolution of the Web: from Web 1.0 to 4.0 by Asaad Khaleel Ibrahim

“…Big data, augmented reality, machine-to-machine communication (M2M), cloud computing, and artificial intelligence (AI) technologies, as well as smart agents, will be able to integrate in the future years. …”
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Pose Measurement of the EndoWrist Round Tip Scissor Instrument with Optical Coherence Tomography by Schöne Sandra, Pol Nirmal, Kahrs Lueder A.

“…These image sequences were further processed through computer vision methods of the individual images followed by point cloud generation. For pose estimation, an Iterative Closest Point algorithm was implemented to register the acquired point clouds to reference point clouds created from the instrument CAD file. …”
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Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization by Jannik Henkmann, Vittorio Memmolo, Jochen Moll

“…Finally, a convenient edge/cloud visualization of the results can be achieved by simplifying the heat map.…”
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Leveraging OpenSimMPLS: A simulation platform for GoS/MPLS networks in research and education by Manuel Domínguez-Dorado, Javier Carmona-Murillo, David Cortés-Polo, Francisco J. Rodríguez-Pérez, Jesús Galeano-Brajones, Jesús Calle-Cancho

“…Despite new technologies, MPLS remains vital for traffic engineering, ensuring Quality of Service (QoS) for high-demand applications like video streaming and cloud services. It also supports Software Defined Networks (SDN) and Network Functions Virtualization (NFV) by managing data paths and resources in virtualized environments. …”
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Imperative Role of Technology Intervention and Implementation for Automation in the Construction Industry by Amit Srivastava, Sajjaf Jawaid, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

“…Based on the above analysis, the article discussed recommendations that could assist in further enhancement and implementation of automation in the construction industry. Cloud-assisted AR/VR, integration of AI with IoT infrastructure, 4D printing, adopting blockchain in the construction industry, and smart robotics are the recommendation addressed in this article.…”
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Development of Lightning Nowcasting and Warning Technique and Its Application by Qing Meng, Wen Yao, Liangtao Xu

“…Thunderstorms occurring in Beijing, Tianjin, and Hebei during 2016-2017 were used to evaluate the CAMS_LNWS by the low-frequency cloud to ground lightning detection data, and the results showed that the system has good forecasting and warning ability for local lightning activities. …”
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Validation of the New Algorithm for Rain Rate Retrieval from AMSR2 Data Using TMI Rain Rate Product by Elizaveta Zabolotskikh, Bertrand Chapron

“…Ice clouds are not taken into account. AMSR2 brightness temperature differences at C- and X-band channels are then used as inputs to train a neural network (NN) function for RR retrieval. …”
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Energy-Efficient Resource Allocation in Mobile Edge Computing Using NOMA and Massive MIMO by Qusay Alghazali, Husam Al-Amaireh, Tibor Cinkler

“…This work addresses the critical challenge of energy consumption in Mobile Edge Computing (MEC), a burgeoning field that extends cloud computing capabilities to the edge of cellular networks. …”
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Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

“…The proposed DNN utilises a number of different methodologies, two of which are cloud motion analysis and machine learning, in order to make forecasts regarding the climatological conditions of the future. …”
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The Multiple Extended Tidal Tails of NGC 288 by Carl J. Grillmair

“…The trajectory of the trailing tail is not well matched by a model stream evolved in a static Galactic potential, but is reasonably well matched by a stream modeled in a potential that incorporates a massive, infalling Large Magellanic Cloud. We also detect a broad, at least ∼40° long leading tail that appears to be composed of at least two narrower, spatially offset, and kinematically distinct streams. …”
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Effect of Surfactants on Association Characteristics of Di- and Triblock Copolymers of Oxyethylene and Oxybutylene in Aqueous Solutions: Dilute Solution Phase Diagrams, SANS, and V... by Sanjay H. Punjabi, Nandhibatla V. Sastry, Vinod K. Aswal, Prem S. Goyal

“…The block copolymer-surfactant complexes are hydrophilic in nature and are characterized by high turbid and cloud points. Triblock copolymer micelles got easily destabilized than the diblock copolymer ones, indicating the importance of the interaction between the hydrophilic E chains and surfactants. …”
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