Multi-Modal Federated Learning Over Cell-Free Massive MIMO Systems for Activity Recognition by Seyed Mohammad Sheikholeslami, Pai Chet Ng, Jamshid Abouei, Konstantinos N. Plataniotis

“…This paper addresses the problem of Multi-modal Federated Learning (MFL) over resource-limited Cell-Free massive MIMO (CF-mMIMO) networks for the application of Human Activity Recognition (HAR). …”
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Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models by Artem Obukhov, Denis Dedov, Andrey Volkov, Maksim Rybachok

“…The solution to the problem of insufficient accuracy in determining the position and speed of human movement during interaction with a treadmill-based training complex is considered. …”
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Digital Assets and the Global Economy: How the Use of Statistical Models Can Help Bitcoin Price Prediction by L. P. Bakumenko, N. S. Vasileva

“…How effective is statistical modeling to solve the problem of predicting the price of Bitcoin? Which model shows the best results? …”
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Intelligent robot chair with communication aid using TEP responses and higher order spectra band features by Sathees Kumar Nataraj, Paulraj Murugesa Pandiyan, Sazali Bin Yaacob, Abdul Hamid bin Adom

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Deformation Monitoring of Truss Structure Bridge With Time-Series InSAR Analysis by Chuanxu Sun, Gen Li, Zihan Hu, Yifan Wang, Zehua Dong, Tao Zeng

“…In order to solve these problems, an improved PSI method is proposed in this article, which is first to carry out preliminary elevation measurement by a small temporal baseline, use the preliminary elevation results to PS-arcs construction based on 3-D spatial network, and utilize the optimal model coherence coefficient adaptive selection based on constant false alarm rate to carry out the parameter estimation so as to realize the accurate monitoring of deformation of large-span steel truss structure bridges. …”
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AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding by Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare Mikkelsen, Preben Kidmose

“…In this study, we proposed a novel end-to-end neural network architecture, named AADNet, which combines these two stages into a direct approach to address the AAD problem. …”
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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

“…To this end, this paper presents a novel forecasting approach using the hybrid of enhanced variational mode decomposition (EVMD), auto-regressive integrated moving average (ARIMA), fully convolutional neural network (FCN), and physical auxiliary mechanism (PAM). …”
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Glioma Grade Classification: Hypertuned CNN With Saliency-Based Insight From MRI by Khondakar A. Shahriar, Enamul H. Bhuiyan, Md. Forhad Hossain, Rakibur Rahman, Muhammad E. H. Chowdhury

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Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s by Lin Gao, Pengwei Yu, Hongjuan Dong, Wenjie Wang

“…This improves the model’s convergence and stability and solves the problem of the imbalance of hard and easy samples in the dataset. …”
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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

“…Then, inspired by Augmented Lagrangian dual optimization, a novel decentralized, federated learning-based solution is proposed to solve the problem. Simulation results show the effectiveness of the proposed approach in minimizing the total network energy consumption, minimizing the average AoI, and satisfying the strict condition of AoI <inline-formula> <tex-math notation="LaTeX">$ &lt; 100$ </tex-math></inline-formula> msec for supporting real-time applications in our network parameter settings.…”
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Neutrosophic Set and Machine Learning Models for Detection of DoS Attack Resilience by Ahmad M. Nagm, Mamdouh Gomaa, Rabih Sbera, Darin Shafek, Ahmed A El-Douh, Ahmed Abdelhafeez, Ahmed E Fakhry

“…Security has been a major problem in in-vehicle networks (VNs) in recent years, assaults that broadcast a deluge of packets, including Denial of Service (DoS) and Distributed Denial of Service (DDoS) assaults, might put the network at risk. …”
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Frequency-Domain Collaborative Lightweight Super-Resolution for Fine Texture Enhancement in Rice Imagery by Zexiao Zhang, Jie Zhang, Jinyang Du, Xiangdong Chen, Wenjing Zhang, Changmeng Peng

“…By introducing the dynamic weight fusion mechanism (CSDW) and lightweight gating network (LFFN), the problem of the unbalanced fusion of frequency information for rice images in traditional methods is solved. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…However， the traditional model has the problem of insufficient time-trend learning ability and error accumulation in multistep photovoltaic power prediction， which limits the improvement of prediction accuracy. …”
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Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others by Q. Si, J. Tian, V. A. Savostyanov, D. A. Lebedkin, A. V. Bocharov, A. N. Savostyanov

“…Neurocomputing technology is a field of interdisciplinary research and development widely applied in modern digital medicine. One of the problems of neuroimaging technology is the creation of methods for studying human brain activity in socially oriented conditions by using modern information approaches. …”
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Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method by Madiyar Nurgaliyev, Askhat Bolatbek, Batyrbek Zholamanov, Ahmet Saymbetov, Kymbat Kopbay, Evan Yershov, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay

“…In this paper, Long-Range Wide-Area Network (LoRaWAN) technology is employed to address localization problems. …”
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Does the degree of limitation in activities of daily living in geriatric patients influence the amount of care and case management required? An analysis from the RubiN project by Simone Gloystein, Heiko Krause, Sonja Laag, Neeltje van den Berg

“…A total of 26,833 patient contacts were documented by the care and case manager. On average, patients received 11.6 contacts (SD = 9.1). …”
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Comparing the Performance of Regression and Machine Learning Models in Predicting the Usable Area of Houses with Multi-Pitched Roofs by Leszek Dawid, Anna Marta Barańska, Paweł Baran

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Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…This study addresses several problems in handwritten word identification. First, the number of layers in the deep convolution network affects the results of characteristic extraction. …”
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Control of three-level quadratic DC-DC boost converters for energy systems using various technique-based MPPT methods by Souheyb Mohammed Belhadj, Bouziane Meliani, Habib Benbouhenni, Ilhami Colak, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…These drawbacks cause undesirable problems such as high power ripples, overshoot, and limited dynamic response. …”
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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

“…We analyzed data recorded by Switzerland's National Air Pollution Monitoring Network (NABEL) to showcase the capabilities of machine learning (ML) for the prediction of ozone concentrations (daily averages) and to document a general approach that can be followed by anyone facing similar problems. …”
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