AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

“…Patients today seek a more advanced and personalized health-care system that keeps up with the pace of modern living. Cloud computing delivers resources over the Internet and enables the deployment of an infinite number of applications to provide services to many sectors. …”
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Analysis of the State and Development of the Economy of the Republic of Uzbekistan in the Conditions of Digitalization and Implementation of Strategic Reforms by B. A. Begalov, I. E. Zhukovskaya, A. A. Mamadzhanov

“…In addition, this study showed that the applied digital solutions, such as digital platforms and digital services specially developed for the field of statistics, artificial intelligence technologies, BIGDATA, cloud computing, business analytical engines, as well as specialized software products, the ability to work with mobile devices and the use of satellite navigation to collect statistical data in the regions of the country make it possible to conduct a multidimensional analysis of business processes of economic objects of the national economy and develop optimal management decisions for the further effective development of industries and spheres of the economy of the Republic of Uzbekistan.Conclusion. …”
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Joint Optimization of Computation Offloading and Task Scheduling Using Multi-Objective Arithmetic Optimization Algorithm in Cloud-Fog Computing by Asad Ali, Nazia Azim, Mohamed Tahar Ben Othman, Ateeq Ur Rehman, Masoud Alajmi, Mosleh Hmoud Al-Adhaileh, Faheem Ullah Khan, Mamyrbayev Orken, Habib Hamam

“…The exponential increase in the Internet of Things (IoT) has affected the cloud computing with increase transmission latency and network overhead for real-time applications. …”
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Spatiotemporal prediction of alpine wetlands under multi-climate scenarios in the west of Sichuan, China by Haijun Wang, Xiangdong Kong, Onanong Phewnil, Ji Luo, Pengju Li, Xiyong Chen, Tianhui Xie

“…Methods We employed a large sample and composite supervised classification algorithms to classify alpine wetlands and generate wetland maps, based on the Google Earth Engine cloud computing platform. The thematic maps were then grid-sampled for predictive modeling of future wetland changes. …”
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A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes by Swetha S, Joe Prathap P M

“…The development of inexpensive and new computing systems and cloud computing sectors gave qualified industries to gather and retrieve the data very precisely however securely delivering data across the network with fewer overheads is a demanding work. …”
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Digital transformation readiness of Kazakhstani enterprises: Mapping regional and sectoral capacities by Zaira Satpayeva, Zhanibek Bekmurat, Tunç Medeni, Dana Kangalakova, Liangliang Xue

“…Kazakhstani enterprises are characterized by a high level of basic digital readiness (81.4% of enterprises had computers, 79.5% – Internet access), an unsatisfactory level of advanced digital readiness (5.6% of enterprises had IT-specialists, 1.1% – own data centers, 3.1% – implemented business processes innovations in information and communication systems), and digital maturity (26.5% of enterprises had Internet resources, electronic invoices – 79.1%, automated internal business processes – 16.7%, cloud computing – 11.0%, big data technologies – 1.9%, and RFID technologies – 1.1%). …”
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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…A Python-based implementation of KAN is developed for flexible integration into existing geospatial analysis workflows and highlighting its compatibility with cloud computing environments such as Google Colab. This integration enhances scalability, makes it practical for processing large-scale satellite datasets efficiently, and facilitates high-resolution mapping and reproducibility in environmental monitoring and urban applications. …”
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A 4×256 Gbps silicon transmitter with on-chip adaptive dispersion compensation by Shihuan Ran, Yu Guo, Yuanbin Liu, Ting Miao, Yangbo Wu, Yang Qin, Yuyao Guo, Liangjun Lu, Yixiao Zhu, Yu Li, Qunbi Zhuge, Jianping Chen, Linjie Zhou

“…Abstract The exponential growth of data traffic propelled by cloud computing and artificial intelligence necessitates advanced optical interconnect solutions. …”
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High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier by Siyu Zhan, Siyu Zhan, Hao Yu, Shuang Liu, Ke Qin, Lu Guo

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From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins by Elanchezhian Arulmozhi, Nibas Chandra Deb, Niraj Tamrakar, Dae Yeong Kang, Myeong Yong Kang, Junghoo Kook, Jayanta Kumar Basak, Hyeon Tae Kim

“…Consequently, livestock production is swiftly evolving towards smart farming systems, propelled by rapid advancements in technology such as cloud computing, the Internet of Things, big data, machine learning, augmented reality, and robotics. …”
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DIGITAL ECOSYSTEMS AS A DRIVER OF BUSINESS LANDSCAPE TRANSFORMATION IN THE MODERN ECONOMY by Ganna Kolomiyets, Vladуslav Korol, Dmуtro Bilіanskiy

“…The relevance of the study is due to the deployment of exponential technologies (artificial intelligence, the Internet of Things, cloud computing, etc.), which have caused and enabled the formation of digital ecosystems and will contribute to their spread. …”
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BedEye: A Bed Exit and Bedside Fall Warning System Based on Skeleton Recognition Technology for Elderly Patients by Liang-Bi Chen, Wan-Jung Chang, Tzu-Chin Yang

“…This ensures faster processing with minimized delays and without reliance on cloud computing, which reduces network bandwidth use. …”
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Dual level dengue diagnosis using lightweight multilayer perceptron with XAI in fog computing environment and rule based inference by Deepika R., Pradeep Kumar T.S.

“…Remote monitoring and massive data storage are required. Though cloud computing is one of the solutions, it has a significant latency, despite its potential for remote monitoring and storage. …”
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Digitalization of Business Development Marketing Tools in the B2C Market by Nataliia Savytska, Vitalina Babenko, Hanna Chmil, Olha Priadko, Iryna Bubenets

“…These are artificial intelligence and cognitive technologies, BigData, Internet of Things (IoT), and cloud computing. The structural and logical scheme of research of digital marketing tools is used for business development which includes two stages is offered. …”
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Optical Remote Sensing for Global Flood Disaster Mapping: A Critical Review Towards Operational Readiness by Molan Zhang, Zhiqiang Chen, Jun Wang, Bandana Kar, Marlon Pierce, Kristy Tiampo, Ronald Eguchi, Margaret Glasscoe

“…Last, with this suite of data and algorithms, we will demonstrate the development of a cloud-computing-supported computing gateway, which houses the services of both our remote-sensing-based machine learning engine and a web-based user interface. …”
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Artificial Surface Water Construction Aggregated Water Loss Through Evaporation in the North China Plain by Ziang Wang, Yan Zhou, Wenge Zhang, Shimin Tian, Yaoping Cui, Haifeng Tian, Xiaoyan Liu, Bing Han

“…In this study, we examined the interannual variability and trends of SWA in the NCP from 1990 to 2023 using annual 30 m water body maps generated from all available Landsat imagery, a robust water mapping algorithm, and the cloud computing platform Google Earth Engine (GEE). The results showed that the SWA in the NCP has significantly increased over the past three decades. …”
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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

“…Abstract Denial of Wallet (DoW) attacks are a cyber threat designed to utilize and deplete an organization’s financial resources by generating excessive prices or charges in their cloud computing (CC) and serverless computing platforms. …”
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Transforming Agroindustry in Indonesia: Emerging Digital Technologies for Reducing Food Loss(Chinese and English versions) by Sari Intan KAILAKU, Yandra ARKEMAN, Y Aris PURWANTO, Faqih UDIN, Bahagiawati AMIRHUSIN, Hendri WIJAYA, Nizmah Jatisari HIDAYAH, Irman HERMADI, Verry Surya HENDRAWAN

“…This paper proposes a Smart Agroindustry Framework that integrates the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, and Cloud Computing to optimize food supply chain performance and reduce FLW. …”
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OpenPheno: an open-access, user-friendly, and smartphone-based software platform for instant plant phenotyping by Tianqi Hu, Peng Shen, Yongshuai Zhang, Jiafei Zhang, Xin Li, Chuanzhen Xia, Ping Liu, Hao Lu, Tingting Wu, Zhiguo Han

“…Conclusions By leveraging cloud computing and a widely accessible interface, OpenPheno democratizes plant phenotyping, making advanced tools available to a broader audience, including plant scientists, breeders, and even amateurs. …”
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