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. With the advent of 6G networks, which promise ultra-fast speeds, vast connectivity, and low-latency communication, MEC-IoT systems are becoming more powerful but also face significant security challenges. …”
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DQN-based energy-efficient routing algorithm in software-defined data centers by Zan Yao, Ying Wang, Xuesong Qiu

“…With the rapid development of data centers in smart cities, how to reduce energy consumption and how to raise economic benefits and network performance are becoming an important research subject. …”
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Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning by Zhaoya Gong, Chenglong Wang, Bin Liu, Binbo Li, Wei Tu, Yuting Chen, Zhicheng Deng, Pengjun Zhao

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Using Internet of Things for Child Care: A Systematic Review by Saeed Saeedbakhsh, Maryam Mohammadi, Sarina Younesi, Mohammad Sattari

“…Background: In smart cities, prioritizing child safety through affordable technology like the Internet of Things (IoT) is crucial for parents. …”
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A Clonal Selection Optimization System for Multiparty Secure Computing by Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu, Xiang Wu

“…The innovation of the deep learning modeling scheme plays an important role in promoting the research of complex problems handled with artificial intelligence in smart cities and the development of the next generation of information technology. …”
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A Dual-Channel and Frequency-Aware Approach for Lightweight Video Instance Segmentation by Mingzhu Liu, Wei Zhang, Haoran Wei

“…Video instance segmentation, a key technology for intelligent sensing in visual perception, plays a key role in automated surveillance, robotics, and smart cities. These scenarios rely on real-time and efficient target-tracking capabilities for accurate perception and intelligent analysis of dynamic environments. …”
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Network Digital Twin Toward Networking, Telecommunications, and Traffic Engineering: A Survey by Reza Poorzare, Dimitris N. Kanellopoulos, Varun Kumar Sharma, Poulami Dalapati, Oliver P. Waldhorst

“…Telecommunications, along with traffic engineering as one of its critical components, play a prominent role across various networking domains, including Internet service providers, data centers, cellular networks, intelligent transportation systems, and smart cities. In this context, NDT has the potential to serve as a key enabler for optimizing these domains by providing a digital framework, which can facilitate the evaluation and enhancement of different scenarios. …”
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Analisis Bibliometrik Infrastruktur Perkotaan Berkelanjutan: Kajian Ilmiah dan Kontribusinya di Era Modern by Azura Calista Shafa Kamila, Nyoman Chandrikania Utama, Nabila Azzahra Tiara Diska, Rulli Pratiwi Setiawan, Eko Budi Santoso

“…Hasil analisis menunjukkan bahwa penelitian dalam bidang ini terus meningkat, dengan fokus utama pada ekosistem dan infrastruktur hijau, GIS dan mobilitas, kota dan pemerintahan serta IoT dan Smart Cities.  Temuan juga mengungkapkan bahwa meskipun banyak penelitian membahas mengenai "sustainability," topik seperti "stormwater management" masih relatif jarang dibahas. …”
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A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

“…The rapid advancement of communication is introducing a new era for the Internet of Vehicles (IoV) in the context of Smart Cities. Although these technologies provide unparalleled connectivity and communication capabilities, they also introduce new security challenges, particularly in terms of Intrusion Detection. …”
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Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization... by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Honggang Wang, Ming Li, Jinchao Xiao

“…In the development of technology for smart cities, the installation and deployment of electronic motor vehicle registration identification have attracted great attention in terms of smart transportation in recent years. …”
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A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network by Ming Jiang, Zhiwei Liu, Yan Xu

“…Abstract Traffic prediction plays an increasingly important role in intelligent transportation systems and smart cities. Both travelers and urban managers rely on accurate traffic information to make decisions about route selection and traffic management. …”
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Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia by M.S. Boori, K. Choudhary, A. Kupriyanov

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Internet of Things (IoT) technologies: features, development prospects and potential threats by Daria Margaza, Yurii Yurchenko

“…The study reveals that IoT is driving innovation and efficiency across industries, including healthcare, manufacturing, and smart cities. However, it also underscores significant challenges, such as cybersecurity risks, data privacy concerns, and regulatory gaps that may hinder widespread adoption. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This research provides valuable insights into leveraging machine learning for WSN optimization, benefiting researchers, network engineers, and industries relying on sensor networks for applications such as environmental monitoring, smart cities, and asset tracking.…”
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LEACH-D: A low-energy, low-delay data transmission method for industrial internet of things wireless sensors by Desheng Liu, Chen Liang, Hongwei Mo, Xiaowei Chen, Dequan Kong, Peng Chen

“…In recent years, the Internet of Things (IoT) has experienced extensive adoption in industrial environments, healthcare, smart cities, and more, playing a vital role in these domains. …”
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Assessing the Complexity of Intelligent Parks’ Internet of Things Big Data System by Jialu Liu, Renzhong Guo, Zhiming Cai, Wenjian Liu, Wencai Du

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Identifying the Roadway Infrastructure Factors Affecting Road Accidents Using Interpretable Machine Learning and Data Augmentation by Jonghak Lee, Sangyoup Kim, Tae-Young Heo, Dongwoo Lee

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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The Internet of Things (IoT) may be used in several sectors such as healthcare, smart cities, smart homes, transportation, logistics, agriculture, and smart traffic management. …”
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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

“…The integration of Internet of Things (IoT) technology in industrial surveillance and the proliferation of surveillance cameras in smart cities has empowered the development of real-time activity recognition and violence detection systems, respectively. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…This method improves numerous IoT applications, including smart cities, industrial automation, and healthcare. …”
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