Internet of Things–based smart home system using a virtualized cloud server and mobile phone app by Guo-Ming Sung, Yen-Shin Shen, Jia-Hong Hsieh, Yu-Kai Chiu

“…The proposed system integrates with software and hardware to complete the data analysis and information management quickly and correctly. …”
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Outage reduction in 5G uplink cooperative NOMA using PSO-optimized relay selection and successive interference cancelation by David S. Bhatti, M. Asif Haroon, Haeung Choi, Seungmin Kim, Heung-No Lee

“…Additionally, we integrate particle swarm optimization (PSO) for dynamic relay selection, effectively reducing outages, optimizing energy consumption, and significantly improving data rates. The inclusion of PSO-based relay selection demonstrates a substantial improvement in network performance. …”
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<monospace>TWIRLD</monospace>: Transformer Generated Terahertz Waveform for Improved Radio Link Distance by Shuvam Chakraborty, Claire Parisi, Dola Saha, Ngwe Thawdar

“…terahertz (THz) band communication is envisioned as one of the leading technologies to meet the exponentially growing data rate requirements of emerging and future wireless communication networks. …”
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Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning by Ce Feng, Parv Venkitasubramaniam

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Deep Reinforcement Learning for Multi-User Massive MIMO With Channel Aging by Zhenyuan Feng, Bruno Clerckx

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Global Methane Budget 2000–2020 by M. Saunois, A. Martinez, B. Poulter, Z. Zhang, Z. Zhang, P. A. Raymond, P. Regnier, J. G. Canadell, R. B. Jackson, P. K. Patra, P. K. Patra, P. Bousquet, P. Ciais, E. J. Dlugokencky, X. Lan, X. Lan, G. H. Allen, D. Bastviken, D. J. Beerling, D. A. Belikov, D. R. Blake, S. Castaldi, M. Crippa, B. R. Deemer, F. Dennison, G. Etiope, G. Etiope, N. Gedney, L. Höglund-Isaksson, M. A. Holgerson, P. O. Hopcroft, G. Hugelius, A. Ito, A. K. Jain, R. Janardanan, M. S. Johnson, T. Kleinen, P. B. Krummel, R. Lauerwald, T. Li, X. Liu, K. C. McDonald, J. R. Melton, J. Mühle, J. Müller, F. Murguia-Flores, Y. Niwa, Y. Niwa, S. Noce, S. Pan, R. J. Parker, C. Peng, C. Peng, M. Ramonet, W. J. Riley, G. Rocher-Ros, J. A. Rosentreter, M. Sasakawa, A. Segers, S. J. Smith, S. J. Smith, E. H. Stanley, J. Thanwerdas, J. Thanwerdas, H. Tian, A. Tsuruta, F. N. Tubiello, T. S. Weber, G. R. van der Werf, D. E. J. Worthy, Y. Xi, Y. Yoshida, W. Zhang, W. Zhang, B. Zheng, B. Zheng, Q. Zhu, Q. Zhu, Q. Zhuang

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Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi by Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci

“…The exponential increase in the demand for high-performance services such as streaming video and gaming by wireless devices has posed several challenges for Wireless Local Area Networks (WLANs). In the context of Wi-Fi, the newest standards, IEEE 802.11ax, and 802.11be, bring high data rates in dense user deployments. …”
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Wearable IoT (w-IoT) artificial intelligence (AI) solution for sustainable smart-healthcare by Gurdeep Singh

“…It covers performance results rendering research science communication on machine learning models for time series analysis, regression and classification to implement defined and adaptive thresholds, adopting standard deviation and moving average, computing mean square error (MSE), root mean square error (RSME) and mean absolute error (MAE) values, utilizing exponential moving average results on multiple features, prominently targeting resting heartrate data. …”
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Climate Forecasting in Sulaymaniyah City Using Deep Learning Techniques by Rebin Abdulkareem Hamaamin, Omar Mohammed Amin Ali, Shahab Wahhab Kareemc

“…The use of neural network models (NNM) for climate data analysis has advanced; the accuracy and application of neural network models for climate data analysis have significantly advanced in recent years. …”
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Demographic Linkages between Rural and Urban Areas and Its Impact on Creating Social Capital (Case study: Damavand, Firouzkoh, Shemiranat) by Nasrin Kazemi, Mohammad Salmani, Seyed Ali Badri, Sharif Motavaf

“…We used UCINET 6 to analysis data. UCINET 6 for Windows is a software package for the analysis of social network data. …”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…So it can be concluded that public opinion on the quality of Telkomsel's internet network services is negative. Overall, the use of KNN, SVM, and Ensemble KNN-SVM classification models in conducting sentiment analysis can be said to be good and able to predict sentiment on unlabeled and labeled data.   …”
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Design of real-time transmission system for underwater panoramic camera based on RTSP. by Wenhui Wang, Yongqi Li, Rufei He

“…The experimental results show that the data transmission effect and quality of the system are good, and the average reprojection error of the calibrated image is 0.12 pixels; During the process of data collection and transmission, the effective time window of the eye diagram is the largest, and the waveform of the top-level data transmission tends to be stable with the smallest fluctuation amsplitude; Dynamically adjust the data transmission rate, control the network packet loss rate below 0.5%, and improve the real-time transmission efficiency of underwater data.…”
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Study on Finite Element Model Modification of Long-Span Suspension Bridge Based on BPANN-GA by Zi-Xiu Qin, Xi-Rui Wang, Wen-Jie Liu, Zi-Jian Fan

“…First, finite element computational data is used to train the neural network. The trained neural network is then used to predict the natural frequencies corresponding to different modal shapes under various parameters. …”
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Combined Prediction Method of Short-Term Distance Headway Based on EB-GRA-TCN by Chun Wang, Weihua Zhang, Cong Wu, Heng Hu, Wenjia Zhu

“…To solve the above problems, a DHW prediction model is proposed in this paper by integrating entropy-based grey relation analysis (EB-GRA) and temporal convolutional network (TCN), named as EB-GRA-TCN model. …”
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A Hybrid GARCH and Deep Learning Method for Volatility Prediction by Hailabe T. Araya, Jane Aduda, Tesfahun Berhane

“…These findings offer valuable insights for financial data analysis and risk management strategies.…”
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Evaluation of an Electronic Case-based Disease Surveillance System in Karene District, Sierra Leone by Eldred Olufemi Moore, Umaru Sesay, Adel Hussein Elduma, Solomon Aiah Sogbeh, Anna Jammeh, Amara Alhaji Sheriff, Bridget Magoba, Mohamed Alex Vandi, Gebrekrstos Negash Gebru

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Regional features of thunderstorm activity (on the example of the territory of the Kabardino-Balkarian Republic) by A. Kh. Adzhiev, A. A. Cherkesov, Z. M. Kerefova

“…For the analysis of thunderstorm activity, data over the period 2012 to 2022 were used. …”
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A Deep Reinforcement Learning–Based Urban Traffic Control Model for Vehicle-to-Everything Ecosystem by Lingyu Zheng, Han Chen, Yajie Zou

“…Infrastructure-to-infrastructure (I2I) communication enables the exchange of traffic data between intersections, which brings a new challenge to urban traffic control. …”
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A proof-of-concept methodology for identifying topical scientific issues in new publications whose citations have not yet been established by B. N. Chigarev

“…In order to identify the terms that characterize relevant research topics, it is proposed to represent the term co-occurrence network in coordinates of the average occurrence of the term per year and the average normalized citation of the term to visualize the graph. …”
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An Investigation on Attention Mechanism–Based Long Short-Term Memory for Gearbox Fault Diagnosis by Ningning Wu, Yang Li, Xiaogang Li, Keyan Yuan, Wenyuan Jiang, Ke Li

“…Although deep learning networks (DLNs) can automatically extract features from original series data and perform diagnostic analysis, their ability to distinguish complex or imbalanced fault patterns may be unsatisfactory. …”
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