Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks by Jiecheng Wu, Jiecheng Wu, Ning Su, Xinjin Li, Xinjin Li, Chao Yao, Jipeng Zhang, Xucheng Zhang, Wei Sun

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IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network by U. A. Vishniakou, Xia YiWei

“…An analysis of methods for processing data from gait deceleration sensors for detecting Parkinson’s disease and a description of the development of a Parkinson’s recognition system based on neural networks with long short term memory (LSTM) are performed. …”
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Time-variant interest community based query message routing algorithm in opportunity social network by Junlei BI, Zhiyuan LI

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MicrocrackAttentionNext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization by Fatahlla Moreh, Yusuf Hasan, Bilal Zahid Hussain, Mohammad Ammar, Frank Wuttke, Sven Tomforde

“…Microcrack detection using deep neural networks (DNNs) through an automated pipeline using wave fields interacting with the damaged areas is highly sought after. …”
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Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools by Nikola Djuric, Dragan Kljajic, Nicola Pasquino, Vidak Otasevic, Snezana Djuric

“…Therefore, this paper presents an innovative EMF data analysis of monitoring results, utilizing a time-averaging approach applied to acquired EMF data. …”
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Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data by Mahdi Zareei, Carlos Alonzo Lopez Castaneda, Faisal Alanazi, Fausto Granda, Jesus Arturo Perez-Diaz

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An energy-efficient and adaptive data collection scheme for multisensory wireless sensor networks by Juan Feng, Hongwei Zhao

“…With the development of sensed technology, more and more sensor nodes carry multiple sensors in information collection wireless sensor networks. As a result, there are always a large number of correlated dynamic sensing data transmitted in the network. …”
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Reliability Analysis of Network Real-Time Kinematic by Mohammed Ouassou, Bent Natvig, Anna B. O. Jensen, Jørund I. Gåsemyr

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A Comparative Study of CO2 Emission Forecasting in the Gulf Countries Using Autoregressive Integrated Moving Average, Artificial Neural Network, and Holt-Winters Exponential Smooth... by Teg Alam, Ali AlArjani

“…Forecasting is the process of making predictions based on past and present data, with the most common method being trend analysis. …”
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Improving Audio Recognition With Randomized Area Ratio Patch Masking: A Data Augmentation Perspective by Weichun Wong, Yachun Li, Shihan Li

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Performance analysis of wireless-powered cell-free massive multiple-input multiple-output system with spatial correlation in Internet of Things network by Haiyan Wang, Xinmin Li, Yuan Fang, Xiaoqiang Zhang

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Implementation of a neural network model in the Statistica 12 for mudflow frequency forecasting by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…To solve the problem, the Data Mining (intelligent data analysis) block – Neural Networks was used in the Statistica 12 package. …”
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Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis by Yalin Wu

“…This study proposes an innovative congestion prediction approach using dynamic big data analysis of vessel trajectories and multiscale feature analysis. …”
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Application of big data technology in visitor behavioral characteristics identification and energy efficiency assessment of intelligent scenic spots by Wei Zhou, Jin Cui

“…To efficiently carry out visitor management and energy efficiency management in scenic spots, the study realizes visitor behavior identification and scenic spot energy efficiency assessment based on big data technology. Firstly, the study introduces bidirectional mechanism, attention mechanism and dropout mechanism to build a visitor behavior recognition model based on improved long short-term memory network. …”
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ANALYSIS OF THE RESULTS OF GENERAL TRAFFIC MEASUREMENTS IN THE WEST POMERANIAN VOIVODESHIP FROM 2005 TO 2015 by Elżbieta MACIOSZEK, Damian LACH

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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

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Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data by Zhanming Qiao, Zhanming Qiao, Zhanming Qiao, Min Zheng, Min Zheng, Min Zheng, Zheng Li, Zheng Li, Quanmin Dong, Chunping Zhang, Yang Yu, Quan Cao

“…IntroductionMobile phone signaling data have become one of the main types of data used to carry out spatial mobility analysis, but no research has simulated herders’ grazing intensity by using this measure.MethodsIn this paper, based on herders’ mobile phone signaling data, herders’ network centrality and herders’ network connection intensity were established. …”
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Analysis of Air Pollution Data in India between 2015 and 2019 by Disha Sharma, Denise Mauzerall

“…We present the first comprehensive analysis of government air quality observations from 2015–2019 for PM10, PM2.5, SO2, NO2 and O3 from the Central Pollution Control Board (CPCB) Continuous Ambient Air Quality Monitoring (CAAQM) network and the manual National Air Quality Monitoring Program (NAMP), as well as PM2.5 from the US Air-Now network. …”
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A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data. by Małgorzata Przybyła-Kasperek, Kwabena Frimpong Marfo

“…The paper introduces a novel approach for constructing a global model utilizing multilayer perceptron (MLP) neural networks and dispersed data sources. These dispersed data are independently gathered in various local tables, each potentially containing different objects and attributes, albeit with some shared elements (objects and attributes). …”
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A Cloud Computing Framework for Space Farming Data Analysis by Adrian Genevie Janairo, Ronnie Concepcion, Marielet Guillermo, Arvin Fernando

“…The feasibility of remote data computational analysis and monitoring for a 2U CubeSat, given its minute form factor, was successfully demonstrated through the proposed cloud framework. …”
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