Acoustic classification and automatic border of phrase and stress recognition in Polish by G. DEMENKO

“…Far better classification results (88% at the average) were obtained by using a neural network. …”
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A Markerless Approach for Full-Body Biomechanics of Horses by Sarah K. Shaffer, Omar Medjaouri, Brian Swenson, Travis Eliason, Daniel P. Nicolella

“…Root-mean-square-error (RMSE) between joint angles predicted via IK using ground truth marker-based motion capture data and network-predicted data was less than 10 degrees for 25 to 32 of 35 degrees of freedom, depending on the gait and data used for network training. …”
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Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning by Nai-Qiu Huang, Meng-Meng Song, Yao-Hong Tang, Li-Xia Huang, Zhi-Wen Chen

“…A deep transfer learning method for planetary gearbox fault diagnosis based on a Selective Kernel Networks (SKN) attention mechanism is proposed. First, an input dataset is constructed through overlapping sampling, and a deep neural network diagnostic model is established to automatically learn features and perform diagnostics on the data. …”
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Anomalous thunderstorm process in the Stavropol Krai by Z. M. Kerefova, N. V. Yurchenko, A. A. Adzhieva

“…To determine the characteristics of thunderstorm activity, the work used long-term data from the specified lightning direction network. …”
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ABOUT ACCURACY OF SYNCHRONOUS TIME IN UPS OF RUSSIA by Y. Kononov, I. Levchenko, E. Satsuk, D. Tuchina

“…A description is given of experiments based on recording deviations of the clock, clocked by the voltage signal of the power network, and on the analysis of data from phasor measuring unit. …”
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МORBIDITY OF INFLUENZA AND ACUTE VIRAL INFECTION IN YAKUTIA DURING EPIDEMIC SEASONS by I. Yu. Samojlova, S. I. Semenov, M. E. Ignat’eva, S. S. Shadrina

“…Objective: analysis of the incidence of SARS, influenza and determining the etiological structure of influenza in the Republic of Sakha (Yakutia), and in particular, in the Arctic zone of the Republic.Materials and methods: we used data from the official statistics of the national center for CPS, as well as summary data of the Federal center of Rospotrebnadzor. …”
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Hydrological regime of the transboundary Uldza River and terminal Torey Lakes under conditions of anthropogenic impact by M. A. Kashnitskaya, M. V. Bolgov

“…The study used materials from the state observation network of Roshydromet, Earth remote sensing data, research materials from scientific organisations and other sources of information that are in the public domain. …”
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ALDP-FL for adaptive local differential privacy in federated learning by Lixin Cui, Xu Wu

“…This approach dynamically sets the clipping threshold for each network layer's updates based on the historical moving average of their $$L_2$$ -norm, thereby injecting adaptive noise into each layer. …”
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Awareness of Sustainable Agriculture among Polish Farmers – Beneficiaries of the CAP by Piotr Sulewski, Adam Wąs

“…The research covered a representative sample of 600 farmers participating in the Polish Farm Accountancy Data Network (FADN). The data from the FADN database were supplied by the information from interviews with farmers. …”
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RESOURCES OF OUTPATIENT PEDIATRIC DENTAL SERVICE OF ST. PETERSBURG AND SOME INDICATORS OF ITS WORK by K. I. Shapiro, L. A. Semionova

“…Research methods - statistics, determination of extensive and intensive indicators, the materiality of their differences using the criterion of reliability t (significant differences were recognized at t>3), time-series analysis. Results. We obtained the data on the availability of child population with pediatric stomatologist, dentists and dental hygienists, staffing, qualifying characteristics. …”
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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…The VToMe-BiGRU is an intelligent analysis method applied to automobile workshops, which is closer to the data source for data processing and analysis, alleviates the strong dependence on real-time network transmission, reduces the time consuming and labor-intensive process of manually extracting and analyzing the features, and improves the accuracy and reliability of the fault prediction. …”
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Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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Plugging-In Caledonia: Location and Utilisation of Public Electric Vehicle Chargers in Scotland by Kathleen Davies, Edward Hart, Stuart Galloway

“…Data were collated from 2786 chargers and analysed to establish a detailed characterisation of the network’s organisation and utilisation. …”
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Unveiling fine-scale spatial structures and amplifying gene expression signals in ultra-large ST slices with HERGAST by Yuqiao Gong, Xin Yuan, Qiong Jiao, Zhangsheng Yu

“…Abstract We propose HERGAST, a system for spatial structure identification and signal amplification in ultra-large-scale and ultra-high-resolution spatial transcriptomics data. To handle ultra-large spatial transcriptomics (ST) data, we consider the divide and conquer strategy and devise a Divide-Iterate-Conquer framework especially for spatial transcriptomics data analysis, which can also be adopted by other computational methods for extending to ultra-large-scale ST data analysis. …”
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KAJIAN PENINGKATAN PENDAPATAN PENGRAJIN GULA KELAPA DI DESA PURBOSARI KECAMATAN SELUMA BARAT KABUPATEN SELUMA by Sriyoto Sriyoto, Bambang Sumantri

“…This study used survey method and the method of selecting the sample in this study was calculated using census. The data analysis used in this study were a quantitative and qualitative analysis. …”
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Converting Hydraulic Resistance Energy of the System into Electricity by A. A. Sahakyan, D. A. Butko

“…It is indicated that it will potentially be close to 6 million drams per year. The analysis of the data allowed us to conclude that the internal rate of return will be at the level of 10.4%, and the payback period is 9 years.Discussion and Conclusions. …”
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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…Neural network object detectors are increasingly being used for aerial video analysis, with a growing demand for onboard processing on UAVs and other limited resources. …”
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An Ultra-Short-Term Wind Power Prediction Method Based on the Fusion of Multiple Technical Indicators and the XGBoost Algorithm by Xuehui Wang, Yongsheng Wang, Yongsheng Qi, Jiajing Gao, Fan Yang, Jiaxuan Lu

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Mysterious seismoacoustic signals of eastern Helwan quarry blasts 2022 by Islam Hamama, Shimaa H. Elkhouly, Hanan Gaber, Mona Hamada, Hany S. Elbehiri, Adel S. Othman, Mohamed Maklad, Mona Abdelazim, Mohamed N. ElGabry, Ahmed Lethy, Hesham Hussein, Masa-yuki Yamamoto

“…Infrasound propagation models, coupled with F-K analysis, further confirmed the locations and directions of the recorded events, providing robust data that could be correlated with planet satellite images of the azimuth directions detected via the infrasound array analyses. …”
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The Assessment of Components Affecting Social Capital in Rural Settlements (Case Study: Rural Settlements of Asalem District) by Ali Badri, Yasir Ramazannejad, Hasan Estehkam

“…The research in this paper is a descriptive - analytical method and needed data is gathered using a questionnaire survey. T-test and regression analysis were used to test hypotheses. …”
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