Exploring new mangrove horizons: A scalable remote sensing approach with Planet-NICFI and Sentinel-2 images by Adam Irwansyah Fauzi, Markus Immitzer, Clement Atzberger

“…In this respect, the advanced development of big data, machine learning, and cloud computing in remote sensing provides a huge opportunity to explore this ecosystem and to provide scalable monitoring solutions. …”
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Combined Multi-Agent and Centralized Resource Allocation in Cloud Radio Access Networks by Rehenuma Tasnim Rodoshi, Rezoan Ahmed Nazib, Chanjun Chun, Wooyeol Choi

“…In C-RAN, base station functionalities are separated into baseband units (BBUs) and remote radio heads (RRHs), with BBUs centralized and virtualized via cloud computing. However, this architecture introduces new challenges in efficiently allocating resources to dynamic users. …”
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Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs by Nagaraju Pacharla, K. Srinivasa Reddy

“…The evolution of cloud computing, the Internet of Things (IoT), and intelligent transportation systems has elevated the significance of fog computing’s integration with VANETs. …”
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Digital transformation in Moroccan agriculture: Applications, used technologies, impacts on marketing, limitations, and orientations for future research by Mohammed Fakhraddine, Najib Zerrad, Hicham Berhili, Meryeme Morchid

“…Various digital technologies have been implemented in agriculture, including Big Data Analytics (BDA), Blockchain, Unmanned Aerial Vehicles (UAVs), Deep Learning (DL), Unmanned Ground Vehicles (UGVs), Information and Communications Technologies (ICT), Machine Learning (ML), Cloud Computing (CC), Artificial Intelligence (AI), robotics, and the Internet of Things (IoT). …”
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The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective by Wenya Yu, Xiaowei Zhou, Dongsheng Wang, Junyu Dong

“…Furthermore, it explores the application of CIM in key areas such as smart transportation and digital twin cities, emphasizing its deep integration with big data, artificial intelligence (AI), and cloud computing to enhance urban governance and intelligent services. …”
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A study on the carbon emission reduction pathways of China’s digital economy from multiple perspectives by Xiaoyan Shi, Zhenhua Zhu, Jiaxin Wu, Zhijiang Li

“…As the share of the digital economy’s output continues to rise each year, the emergence of new industries such as e-commerce, mobile payments, and cloud computing has opened new avenues for carbon emission reduction (CER). …”
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Survey on the development of mimic defense in cyberspace:from mimic concept to “mimic+” ecology by Hailong MA, Liang WANG, Tao HU, Yiming JIANG, Yanze QU

“…Build upon the dynamic-heterogeneous-redundant architecture for multi-body execution, multi-mode ruling and multi-dimension reconstruction, cyberspace mimic defense (CMD) uses uncertain system to deal with the uncertain threat to cyberspace ubiquity.The evolution of CMD over the past 8 years were reviewed systematically from the vertical, horizontal, current, developing and future perspectives.From the vertical perspective, the development process of CMD from concept to theory and practice was summarized.From the horizontal view, it elaborated the core structure DHR (dynamical heterogeneous redundancy) of CMD, the principles based on CMD’s three major theorems, safety gains and performance costs.A comparison was conducted between CMD and five other active defense technologies, namely intrusion tolerance, moving target defense, zero trust architecture, trusted computing and computer immunology.From the current perspective, it reviewed the implementation elements, performance, system architecture, heterogeneous strategies, scheduling strategies, voting strategies and other common technology patterns and characteristics of 11 types of main existing mimic products including mimicry router, mimicry processor, mimicry DNS server and mimicry cloud platform.From the developing perspective, it explored the “mimic+” AICDS (Mimic + AI/IoT/Cloud/Data/SDN) symbiotic ecology with respect to 5 types of new technologies, namely artificial intelligence, Internet of things, cloud computing, big data and software-defined network, and proposed the corresponding technology junctions and cross research value.From the future perspective, it looked into the future mimicry baseline 2.0 product ecology, “mimic +5G/6G”, “mimic + edge computing”,“mimic + cloud” and “mimic + blockchain” application scenarios.Besides, 4 types of challenges faced by CMD in the future were analyzed and summarized, including escape space of multi-mode decision attack, mutual restriction of heterogeneous and synchronous, difficult balance between security and function, and limited transformation space of existing endogenous security components.…”
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Spatio-temporal variations of drought in the Welmel watershed, southeast of Ethiopia using the vegetation condition index and standardized precipitation index by Tesfaye Bogale, Sileshi Degefa, Gemedo Dalle, Gebeyehu Abebe

“…The investigation utilized data from the Moderate Resolution Imaging Spectroradiometer and the Climate Hazards Group Infrared Precipitation with Stations, accessed through the Google Earth Engine cloud computing platform. Results The analysis of the SPI and VCI demonstrated that the watershed experienced mild to extreme drought throughout the study period. …”
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Understanding Medical 4.0 implementation through enablers: An integrated multi-criteria decision-making approach by Md Nahid Akhtar, Abid Haleem, Mohd Javaid, Mohd Vasif

“…In this context, ten crucial enablers play pivotal roles: Policy Support, enhanced diagnostics and treatment, patient-centric care, telehealth and Telemedicine, Internet of Things devices, artificial intelligence, cloud computing, genomics and precision medicine, Cybersecurity, and industry collaboration. …”
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Medical data security and effective organization using integrated Blockchain principles in AI-based healthcare 6.0 infrastructures by Mohammad Gouse Galety, Kuan Tak Tan, Pravin R. Kshirsagar, Subba Rao Polamuri

“…Abstract The future industry development for healthcare services needs an integrated edge, fog, and cloud computing infrastructures. The medical data security and integrity schemes help to operate the data carefully in healthcare networks. …”
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Exponential Disruptive Technologies and the Required Skills of Industry 4.0 by Ocident Bongomin, Gilbert Gilibrays Ocen, Eric Oyondi Nganyi, Alex Musinguzi, Timothy Omara

“…From the electronic survey, 35 disruptive technologies were quantified and 13 key technologies: Internet of Things, Big Data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber-physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones, and Biotechnology were identified. …”
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Practice and discussion on maintenance of seawater pump at LNG terminal by Zhengyin WANG, Hongqiang LIU, Junxiao WANG

“…Incorporating intelligent technologies such as sensors, data analysis, and cloud computing via the Internet of Things (IoT) into overhaul and maintenance procedures can enable realtime monitoring and alerts. …”
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Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques by Mohammed Qader Kheder, Aree Ali Mohammed

“…One alternative solution is vehicular cloud computing (VCC). Additionally, an IoT-aided robotic (IoRT) model has been developed with a modern architecture that integrates IoT sensor nodes and cameras to gather real-time traffic data. …”
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A privacy-preserving data aggregation system based on blockchain in VANET by Ruicheng Yang, Guofang Dong, Zhengnan Xu, Juangui Ning, Jianming Du

“…The proposed scheme integrates cloud computing with blockchain technology, presenting a novel blockchain-based data aggregation system that robustly supports efficient and secure data collection in VANETs. …”
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AN OVERVIEW OF INTEGRATING THE INTERNET OF THINGS AND ADVANCED AUTOMATION TECHNOLOGIES FOR SUSTAINABLE CROP GROWTH AND MONITORING IN PRECISION AGRICULTURE by Vishwas S, Nithesh Naik, Suhas Kowshik, Shilpa Suresh

“…The research explores key components required for IoT-based smart farming, including hardware platforms, cloud computing, data processing techniques, and communication protocols. …”
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Cost Analysis of Running Web Application in Cloud Monolith, Microservice and Serverless Architecture by Muhammad Uzair Nadeem, Syed Muhammad Khaliq-ur-Rahman Raazi, Bilal Mehboob, Syed Mubashir Ali, Saqlain Raza

“…Cloud computing has become a popular choice for deploying web applications, but the selection of the appropriate architecture for different application types remains a challenge for businesses. …”
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A multi-user multi-operator computing pricing method for Internet of things based on bi-level optimization by Wei Jiang, Huiqiang Wang, Bingyang Li, Haibin Lv, Qingchuan Meng

“…Therefore, the concept of edge cloud computing has been proposed, which enhances the computing capacity of Internet of things terminals by offloading user tasks to edge servers for computation. …”
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Dynamic Load Balancing for Enhanced Network Performance in IoT-Enabled Smart Healthcare With Fog Computing by Mohammed Alaa Ala'anzy, Raiymbek Zhanuzak, Ramis Akhmedov, Nader Mohamed, Jameela Al-Jaroodi

“…The rapid expansion of Internet of Things (IoT) devices in healthcare has increased data volumes, creating challenges for the efficiency and latency of real-time monitoring systems. Traditional cloud computing often encounters high latency and network congestion, making it unsuitable for time-sensitive healthcare applications. …”
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An Efficient and Low-Delay SFC Recovery Method in the Space–Air–Ground Integrated Aviation Information Network with Integrated UAVs by Yong Yang, Buhong Wang, Jiwei Tian, Xiaofan Lyu, Siqi Li

“…The application of 5G/6G network technologies, such as cloud computing, network function virtualization (NFV), and edge computing, has enhanced the flexibility of air traffic services based on service function chains (SFCs), while simultaneously expanding the network attack surface. …”
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Multi-Temporal Assessment of Soil Erosion After a Wildfire in Tuscany (Central Italy) Using Google Earth Engine by Francesco Barbadori, Pierluigi Confuorto, Bhushan Chouksey, Sandro Moretti, Federico Raspini

“…All the analyses were carried out using the Google Earth Engine (GEE) platform with free-access geospatial data and satellite images in order to exploit the cloud computing potentialities. The results indicate a differentiated impact of the fire across the study area, whereby the central parts suffered the highest damages, both in terms of fire-related RUSLE factors and soil loss rates. …”
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