ESTABLISHING THE KEY ELEMENTS OF INCORPORATION AND OUTCOMES OF 4TH INDUSTRIAL REVOLUTION IN BUILT ENVIRONMENT EDUCATION: A MIXED BIBLIOGRAPHIC AND BIBLIOMETRIC ANALYSIS by Alireza MOGHAYEDI, Karen Le Jeune, Mark Massyn, Christiana Ekpo

“…Digital technologies, Virtual reality and cloud computing are the most significant education tools and technology elements. …”
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Soil Conservation Benefits of Ecological Programs Promote Sustainable Restoration by Renjie Zong, Nufang Fang, Yi Zeng, Xixi Lu, Zhen Wang, Wei Dai, Zhihua Shi

“…We introduce a framework that integrates the multi‐model approach and scenario analysis on cloud computing platforms to capture the significance of soil conservation benefits by assessing the world's largest restoration programs from China. …”
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Improvement of photogrammetric joint roughness coefficient value by integrating automatic shooting parameter selection and composite error model by Qinzheng Yang, Ang Li, Feng Dai, Zhen Cui, Hongtian Wang

“…Then, by combining the theory of point cloud coordinate computation error with the equation of JRC calculation, a composite error model controlled by the shooting parameters was proposed. …”
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Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach by Fajar Yulianto, Gatot Nugroho, Galdita Aruba Chulafak, Suwarsono Suwarsono

“…Three digital classification approaches, namely, maximum likelihood (ML), random forest (RF), and the support vector machine (SVM), were applied to test the improvement in the accuracy of LULC postclassification using the MaSegFil approach, based on annual cloud-free Landsat 8 satellite imagery data from 2019. …”
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Efficient and secure attribute-based heterogeneous online/offline signcryption for body sensor networks based on blockchain by Jawaid Iqbal, Arif Iqbal Umar, Noorul Amin, Abdul Waheed

“…Besides, we have used a new hybrid blockchain technology approach for the secure transmission of patient information along with attributes stored in the medical server toward the cloud that provides ease of patient data access remotely from anywhere by the authorized users and data backup in case of medical server failure. …”
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Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques by Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi

“…Finally, the use of state-of-the-art ML algorithms in these capabilities is explored and their potential extension to cloud and/or edge computing based network architectures is highlighted.…”
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Performance Evaluation of 3-D Convolutional Neural Network for Multitemporal Flood Classification Framework With Synthetic Aperture Radar Image Data by Dodi Sudiana, Indra Riyanto, Mia Rizkinia, Rahmat Arief, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo, Ketut Wikantika

“…Urban flooding significantly impacts populations and often coincides with heavy rainfall, making optical satellite observation challenging due to cloud cover. This study proposes a novel approach using synthetic aperture radar (SAR) sensors, which can penetrate clouds, to classify flooded urban areas. …”
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GODS OF TRANSHUMANISM by A. V. Halapsis

“…It became again relevant in connection with the development of computer and cloud technologies, artificial intelligence technologies, etc. …”
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HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023 by Kai Yan, Xinpei Yu, Jinxiu Liu, Jingrui Wang, Xiuzhi Chen, Jiabin Pu, Marie Weiss, Ranga B. Myneni

“…While the MODIS FPAR product provides valuable global data, its reliability is compromised by noise, particularly under poor observation conditions like cloud cover. To solve this problem, we developed the Spatio-Temporal Information Composition Algorithm (STICA), which enhances MODIS FPAR by integrating quality control, spatio-temporal correlations, and original FPAR values, resulting in the High-Quality FPAR (HiQ-FPAR) product. …”
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Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing by Wei Li, Muhammad Awais, Weimin Ru, Weidong Shi, Muhammad Ajmal, Saad Uddin, Chenchen Liu

“…The knowledge gained from the sensors is transferred directly to the cloud server by using IoT technology. Users from anywhere in the world can display them through an internet-enabled device. …”
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Hygroscopic Growth Factors of Sub-micrometer Atmospheric Aerosols at Four Selected Sites in Thailand by Jindarat Pariyothon, Surat Bualert, Parkpoom Choomanee, Thitima Rungratanaubon, Thunyapat Thongyen, Narita Fakkaew, Chayaporn Phuetfoo, Jitlada Phupijit, Wladyslaw W. Szymanski

“…It is an essential parameter for assessing the role of atmospheric particles in the radiative transfer and cloud formation process. Therefore, the temporal variation in Gf of size-selected atmospheric particles from the Aitken mode (Dp ≤ 100 nm) and accumulation mode (Dp > 100 nm) was measured using a humidified tandem differential mobility analyser (H-TDMA) and the relationship between particle size and Gf for various locations and meteorological conditions was determined. …”
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Relationship Between Anxiety Symptoms and Age-Related Differences in Tic Severity by Lei T, Yang K, Jun J, Hu S, Yang Q, Hong X, Cui Y

“…Tianyuan Lei,1,2 Kai Yang,1,2 JinHyun Jun,1,2 Shujin Hu,1,2 Qinghao Yang,1,2 Xu Hong,3 Yonghua Cui1,2 1Department of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, People’s Republic of China; 2Laboratory for Clinical Medicine, Capital Medical University, Beijing, People’s Republic of China; 3Cloud Services Innovation Laboratory, Institute of Intelligent Science and Technology, China Electronics Technology Group Corporation, Beijing, People’s Republic of ChinaCorrespondence: Yonghua Cui; Tianyuan Lei, Email cuiyonghua@bch.com.cn; tianyuanlei@bch.com.cnPurpose: Tic disorders are neurodevelopmental disorders characterized by movements or vocalizations, often accompanied by anxiety symptoms. …”
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Effects of Summer Rainfall on the Soil Thermal Properties and Surface Energy Balances in the Badain Jaran Desert by Jiangang Li, Ali Mamtimin, Zhaoguo Li, Cailian Jiang, Minzhong Wang

“…These findings are fundamental for understanding the influences of cloud and precipitation disturbances on radiation budgets and energy distributions and improving the parameterization of surface radiation budgets and energy balances for numerical models of semiarid areas.…”
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Coherent Optics for Passive Optical Networks: Flexible Access, Rapid Burst Detection, and Simplified Structure by Guangying Yang, Yixiao Zhu, Ziheng Zhang, Lina Man, Xiatao Huang, Xingang Huang, Weisheng Hu

“…With the development of the Internet of Things, cloud networking, and 4K/8K high-definition video, global internet traffic has seen a dramatic increase. …”
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Evaluation of the Threshold for an Improved Surface Water Extraction Index Using Optical Remote Sensing Data by Fajar Yulianto, Dony Kushardono, Syarif Budhiman, Gatot Nugroho, Galdita Aruba Chulafak, Esthi Kurnia Dewi, Anjar Ilham Pambudi

“…An annual Landsat 8 mosaic was created using the Google Earth Engine (GEE) platform to obtain cloud-free satellite image data. The challenge of this study was to determine the threshold value, which is essential to show the boundary between water and nonwater. …”
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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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Constitutive Model and Fracture Criterion of Q345 Steel Welded Joints by Lian Song, Genfeng Li, Cong Zhu, Huaqiang Fang, Guoqing Zhu

“…Based on the J–C (Johnson–Cook) fracture model of stress triaxiality factor, a series of round bar specimens were designed for the tensile test, and the variation of minimum diameter and gauge distance was tracked in real time by digital image correlation (DIC) technology, and the cloud map of strain distribution in the whole loading process was obtained. …”
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Dynamic Targets Occupancy Status Detection Utilizing mmWave Radar Sensor and Ensemble Machine Learning by Amala Sonny, Abhinav Kumar, Linga Reddy Cenkeramaddi

“…The range of each moving target in the room is estimated using point cloud data extracted from the received signal. An ensemble-based 1-D CNN classifier is used to analyze the data. …”
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Developing a TinyML Image Classifier in an Hour by Riccardo Berta, Ali Dabbous, Luca Lazzaroni, Danilo Pietro Pau, Francesco Bellotti

“…It exports TensorFlow Lite models, deployable on several microcontroller families, and optionally exploits the STM32Cube.AI developer cloud service, which allows benchmarking the developed models on a set of real-world tiny hardware target platforms. …”
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Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) by Mohammad Hossein Hajarian, Sara Attarchi, Seyyed Kazem Alavi Panah

“…As the study area is located in a coastal environment and there is frequent cloud cover, the combination of two polarizations VV and VH without using Sentinel-2 bands was also studied. …”
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