Simulation and prediction of the expansion of OpenStreetMap building data based on the Markov-FLUS model in Shenzhen, China by Sidan Chen, Lingjia Liu, Kaixiang Li, Xiaohui Ding, Wei Jiang

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RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks by Muhammad Tanveer, Saud Alhajaj Aldossari

“…The rapid expansion of Mobile Edge Computing (MEC) and the Internet of Things (IoT) has revolutionized technology by enabling real-time data processing at the network edge, which is essential for applications such as autonomous vehicles and smart cities. …”
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Low-Cost Printed Flexible Antenna by Using an Office Printer for Conformal Applications by Kashif Nisar Paracha, Sharul Kamal Abdul Rahim, Hassan Tariq Chattha, Saqer Saleh Aljaafreh, Sabih ur Rehman, Yew Chiong Lo

“…The printed antenna is also tested in bending conditions to ascertain its performance for the Internet of things (IoT) conformal applications for the future 5G network.…”
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A Secure Data Sharing Model Utilizing Attribute-Based Signcryption in Blockchain Technology by Chaoyue Song, Lifeng Chen, Xuguang Wu, Yu Li

“…With the rapid development of the Internet of Things (IoT), the scope of personal data sharing has significantly increased, enhancing convenience in daily life and optimizing resource management. …”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…The increasing popularity and prevalence of Internet of Things (IoT) applications have led to the widespread use of IoT devices. …”
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Power beacon-assisted energy harvesting symbiotic radio networks: Outage performance. by Tran Cong Hung, Bui Vu Minh, Tan N Nguyen, Miroslav Voznak

“…The evolution of next-generation Internet-of-Things (IoT) in recent years exhibits a unique segment that wireless communication paradigms are oriented towards not only improved spectral efficiency transmission but also energy efficiency. …”
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A randomized block policy gradient algorithm with differential privacy in Content Centric Networks by Lin Wang, Xingang Xu, Xuhui Zhao, Baozhu Li, Ruijuan Zheng, Qingtao Wu

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Automated Creation and Provisioning of Decision Information Packages for the Smart Factory by Eva Hoos, Pascal Hirmer, Bernhard Mitschang

“…In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. …”
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Differential Grey Wolf Load-Balanced Stochastic Bellman Deep Reinforced Resource Allocation in Fog Environment by S. V. Nethaji, M. Chidambaram

“…Fog computing is becoming a dynamic and sought-after computing prototype for Internet of Things (IoT) application deployments. It works in conjunction with the cloud computing environment. …”
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Storm-based distributed sampling system for multi-source stream environment by Wonhyeong Cho, Myeong-Seon Gil, Mi-Jung Choi, Yang-Sae Moon

“…As a large amount of data streams occur rapidly in many recent applications such as social network service, Internet of Things, and smart factory, sampling techniques have attracted many attentions to handle such data streams efficiently. …”
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A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model by Meng He, Hui Wang, Myo Thwin

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Handover Management of Net-Drones for Future Internet Platforms by Kyung-Nam Park, Jin-Hyeok Kang, Byeong-Moon Cho, Kyung-Joon Park, Hwangnam Kim

“…The advent of the Internet of things (IoT) is changing the way how we interact with the physical world. …”
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Research on medical small sample data classification based on SMOTE and gcForest by Wenchang LIU, Yun WEI, Haoxuan YUAN, Yue GAO

“…Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest) model was proposed.It enhances the representation learning ability of the model by adding random sampling into the multi-grained scanning and optimizing the transformation features.It also enhances the model's classification ability by updating the cascade forest’s hierarchical structure.Considering category imbalance problems in datasets, the safe-borderline-SMOTE (SBS) algorithm was proposed to dynamic interpolate around the few class samples belonging to the safety boundary, which can improve the quality of training data.The cgicForest was applied for training and learning, thus the SBS-cgicForest classification model was obtained which can support imbalanced medical small samples data.The model is used on three medical datasets for classification experiments.The results show that the performance indexes of the cgicForest model in the classification of medical small sample data with complex characteristics have increased by 4.1～5.4 percentage points, compared with the multi-grained cascade forest (gcForest) model.The performance indexes have increase by 6.6～11.2 percentage points after the combination with SBS algorithm, the F₁ score was 2～2.5 percentage points higher than that obtained by traditional sampling methods.It provides a reference for solving the classification problem of small medical sample data, and includes support for internet of things applications in smart medical scenarios.…”
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Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance by Samira Mohammadi, Sasan Sattarpanah Karganroudi, Vahid Rahmanian

“…It proposes future research directions, including real-time monitoring and the integration of Artificial Intelligence (AI) with Internet of Things (IoT) devices for comprehensive inspections.…”
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Cooperative NOMA system with incremental relaying over Nakagami- fading channels by Zhenling Wang, Dawei Qiao

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Development and Validation of a Capacitor–Current Circuit Model for Evaporation-Induced Electricity by Wenluan Zhang, Runru Tristan Liu, Yumin Huang

“…Evaporation-induced electricity is a promising approach for sustainable energy generation which is particularly suited for off-grid and Internet-of-Things (IoT) applications. Despite significant progress, the mechanism of electricity generation remains debated due to complex factors. …”
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FSAS: An IoT-Based Security System for Crop Field Storage by Chandra Prakash, Anurag Barthwal, Shwetank Avikal, Gyanendra Kumar Singh

“…Internet of Things abstracts the ability to remotely associate and observe things or objects over the Internet. …”
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Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing by Wen Pan, Lai Wang, Jianshi Tang, Heyi Huang, Zhibiao Hao, Changzheng Sun, Bing Xiong, Jian Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo

“…Abstract The rapid development of internet of things (IoT) urgently needs edge miniaturized computing devices with high efficiency and low-power consumption. …”
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The digital transformation of the construction industry: a review by Daniela Vararean-Cochisa, Emil-Lucian Crisan

“…Concerning the intervention (I), BIM technology dominates construction firms' approaches to DT, followed by cloud computing and Internet of Things (IoT). The outcomes (O) of DT include direct and indirect benefits related to accurate cost calculations, cost reduction, improved work efficiency, high quality, as there are more complex results related to new business models and increased long-term competitiveness. …”
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QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms by Muwonge Ssajjabbi Bernard, Tingrui Pei, Kimbugwe Nasser

“…It is the basis for the Internet of things (IoT). Quality of service (QoS) pointers like energy efficiency, reliability, bit error rate, and latency can be helpful in data collection estimation over a network. …”
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