Review of Intelligent Routing Technology in Integrated Satellite-Ground Network by Suzhi CAO, Xue SUN, Houpeng WANG, Jiarong HAN, Siyan PAN, Lei YAN

“…In view of the complex routing problems faced by the integrated satellite-ground network, the research progress of softwaredefi ned integrated satellite-ground network and intelligent routing was investigated.The training and deployment schemes of on-orbit routing mechanisms based on deep reinforcement learning were discussed, and a specifi c analysis was made in conjunction with the space intelligent computing platform.…”
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DEVELOPMENT OF STUDENTS’ COMMUNICATIVE POTENTIAL by Galina A. Berulava, Emma M. Sagilyan

“…The article analyzes the problem of formation of productive communicative students’ behavior on the base of a new methodological platform of personal development 2 the theory of network education. …”
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The Study of Methods for Penetration Testing in Training of Information Security Specialists by A. M. Kadan, A. K. Doronin

“…The article deals with issues related to the creation of modern educational virtual laboratory under cloud cluster platform OpenNebula for the training of specialists in the field of information security and computer security. …”
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Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

“…With the increasing computational demands of Internet of Things (IoT) applications, air-ground integrated networks (AGIN), leveraging the capabilities of Unmanned Aerial Vehicles (UAVs) and High-Altitude Platform (HAP), provides an essential solution to these challenges. …”
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Encrypted Engagement: Mapping Messaging App Use in European News Consumption Patterns by Răzvan Rughiniș, Dinu Țurcanu, Simona-Nicoleta Vulpe, Alexandru Radovici

“…Notably, omnivorous news consumers show the highest usage (61%) and trust in these platforms, indicating a complementary role to traditional news sources. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…The vast amount of data generated by these platforms is mostly uncontrolled and unmanageable. …”
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From tweet to tremor: Enhancing megathrust disaster monitoring and early warning systems in social media by Silvia Nur Aulia Elsa, Saepudin Epin, Qoriah, Ernawati, Khoiri Shohib, Kusumawati Azhari Siti

“…This finding underscores the importance of collaboration between the government, disaster management agencies and social media platforms to ensure the accuracy of information disseminated. …”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…We focused on articles employing various forms of crowdsourcing platforms, such as Twitter (now known as X), Facebook, and Telegram, across three distinct phases of terrorism-related disasters: monitoring and detection, onset, and post-incident analysis. …”
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Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection by Alexander C. D. Royal, Phil R. Atkins, Michael J. Brennan, David N. Chapman, Huanhuan Chen, Anthony G. Cohn, Kae Y. Foo, Kevin F. Goddard, Russell Hayes, Tong Hao, Paul L. Lewin, Nicole Metje, Jen M. Muggleton, Adham Naji, Giovanni Orlando, Steve R. Pennock, Miles A. Redfern, Adrian J. Saul, Steve G. Swingler, Ping Wang, Christopher D. F. Rogers

“…The multi-sensor platform is being developed in conjunction with a knowledge-based system that aims to provide information on how the properties of the ground might affect the sensing technologies being deployed. …”
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Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education by Myagmarsuren Orosoo, Namjildagva Raash, Mark Treve, Hassan Fareed M. Lahza, Nizal Alshammry, Janjhyam Venkata Naga Ramesh, Manikandan Rengarajan

“…The given MLP-LSTM based speech recognition model lays the foundation for a highly complex yet accurate paced English language learning platform that will cater to the needs of the learners in the global scenario.…”
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A Wireless Sensor Network for Precise Volatile Organic Compound Monitoring by Gianfranco Manes, Giovanni Collodi, Rosanna Fusco, Leonardo Gelpi, Antonio Manes

“…The paper describes the WSN platform, detailing various units (gateways, nodes, detectors) and shows the features of scalability and reconfigurability, with minimal intrusiveness or obtrusiveness. …”
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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

“…Abstract This investigation presents the development and characterization of an advanced piezoelectric perovskite-based biosensing platform optimized for formalin detection in aqueous media through the implementation of Locally Weighted Linear Regression (LWLR) machine learning algorithms. …”
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High-Performance Wireless Piezoelectric Sensor Network for Distributed Structural Health Monitoring by Shang Gao, Xuewu Dai, Zheng Liu, Guiyun Tian

“…The developed wireless node platform features a digital signal processor (DSP) of TMS320F28335 and an improved IEEE 802.15.4 wireless data transducer RF233 with up to 2 Mbps data rate. …”
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Integration model of control of lifelong education system in educational clusters and mechanisms of network interaction by Dmitrij E. Ovchinnikov, Ekaterina P. Aсri, Elena P. Schegoleva

“…A two-level system of training on one educational platform allows you to maintain the continuity of the content of educational programs. …”
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Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil by Alan Marcel Fernandes de Souza

“…The aim of this paper is to scrutinize the posts associated with the hashtags #VcNoJL1 and #VcNoJL2, publishe on the Twitter (X) platform, in the context of the TV news program TV Liberal, broadcast in the State of Pará (Brazil), using the CRISP-DM methodology and data science techniques. …”
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Highly conductive graphene@phosphotungstic acid nanocomposite for sensitive electrochemical detection of acetaminophen based on analysis induction strategy in foods by Ruiyu He, Jingjie Zhang, Shixin Li, Yuzhen Yang, Yaru Xu, Zhixiang Xu, Yufeng Sun

“…In this work, an electrochemical sensing platform based on graphene@phosphotungstic acid nanocomposite (GR@PWA) was constructed for sensitive determination of acetaminophen (AP). …”
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Compressive behavior of Co-Cr-Mo radially graded porous structures under as-built and heat-treated conditions by Francesco Cantaboni, Paola Ginestra, Marialaura Tocci, Andrea Avanzini, Elisabetta Ceretti, Annalisa Pola

“…In this work, the powder bed fusion technique was utilized to manufacture lattice structures with defined building angles concerning the build platform. A biocompatible Co-Cr-Mo alloy was used. …”
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Design and Implementation of a Structural Health Monitoring System for a Large Sea-Crossing Project with Bridges and Tunnel by Yu Yan, Xingquan Mao, Xu Wang, Xianfeng Yu, Lei Fang

“…Then, on the basis of a multilayer data storage system, a fault-tolerant data center platform design, an open integrated supervision platform design, and other measures, a set of reliable and advanced large-scale software systems are built to achieve the SHM system for the Hong Kong–Zhuhai–Macao Bridge. …”
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BurstBiRank: Co-Ranking Developers and Projects in GitHub with Complex Network Structures and Bursty Interactions by Dengcheng Yan, Zhen Shao, Yiwen Zhang, Bin Qi

“…With the wide adoption of social collaborative coding, more and more developers participate and collaborate on platforms such as GitHub through rich social and technical relationships, forming a large-scale complex technical system. …”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning by Adil Khan, Jiang Feng, Shaohui Liu, Muhammad Zubair Asghar

“…Similarly, ViZDoom is a game artificial intelligence research platform based on Doom used for visual deep reinforcement learning in 3D game environments such as first-person shooters (FPS). …”
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