ROAD TRAFFIC ESTIMATION USING BLUETOOTH SENSORS by Monika N. BUGDOL, Marcin D. BUGDOL, Marcin GRZEGORZEK, Andrzej W. MITAS

“…The smallest average relative error between the number of cars estimated by the model and the actual traffic was less than 10%.…”
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Predictive Modeling of Environmental Impact on Drone Datalink Communication System by I. Bennageh, H. Mahmoudi, H. Hajjaji, I. Laabousse, A. Hamdouchi

“…Error metrics obtained from Monte Carlo simulations are employed to validate the theoretical results against experimental data. …”
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Design method of secure computing protocol for deep neural network by Renwan BI, Qianxin CHEN, Jinbo XIONG, Ximeng LIU

“…Aiming at the information leakage problem in the process of deep neural network model calculation,a series of secure and efficient interactive computing protocols were designed between two non-collusive edge servers in combination with the additive secret sharing scheme.Since the nonlinear function cannot be split directly,a set of basic conversion protocols were proposed to realize the secure conversion of additive and multiplicative shares.After a few invokes,the power,comparison,exponential,logarithm,division and other low-level functions can be calculated securely.Due to the characteristics of data transfer and computation,the proposed protocols can be extended to array computation.Theoretical analysis ensures the correctness,efficiency and security of these protocols.The experimental results show that the error of these protocols is negligible,and the computational costs and communication overhead are better than the existing schemes.…”
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Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm by Yuanwen Lai, Hangyu Liang, Liling Huang

“…The model is trained and tested by using bus operation data. The root mean square error of the Kalman filter model is 0.351, of the BP neural network model is 0.059, and of the FA-BP prediction model is 0.04. …”
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A lightweight privacy-preserving truth discovery mechanism for IoT by Yingjie HE, Qiwei LI, Han SUN, Di GAO, Jianfeng DONG, Shuhua YANG

“…In order to solve diverse quality and privacy leakage of perceived data in fog-cloud integrated internet of things (IoT), a streaming encryption-based privacy-preserving truth discovery mechanism for IoT was proposed.Firstly, by utilizing shuffling and streaming encryption algorithms, the ground truths and the weights were anonymously updated on the cloud server and fog server, respectively, so that the collusion attacks between malicious attackers and cloud or fog servers could be resisted to defend against privacy leakage of IoT devices.Secondly, by adopting the Softmax function, the device weights were calculated on fog server, which reduces the error rate for calculating the ground truths.Finally, the theoretical analysis proved that the mechanism could protect privacy of the devices.And, the experimental results demonstrate that the proposed mechanism is an effective privacy-preserving trust discovery mechanism for large-scale IoT devices, which can outperform existing ones in computing efficiency.…”
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The FAR model: assessing quality in interlingual subtitling by Jan Pedersen

“…The FAR model is based on error analysis and has a penalty score system that allows the assessor to pinpoint which area(s) need(s) improvement, which should make it useful for education and feedback. …”
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Machine learning regression based quantification of dynamic movements of prokaryotic bacterial type IV pili. by Isha Kanchana

“…A simple random sampling approach evaluated the program’s accuracy by comparing its output to manual hand-counted data. The results showed an average accuracy of 91.11% across ten analyzed files, with a standard error of 0.43%. …”
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NEW METHOD TO PREDICT THE LIFE OF HIGH AND LOW CYCLE COMPOSITE FATIGUE LIFE (MT) by SHI HongMei, CUI Lu, HOU Wei, WANG Peng

“…A new method by the curves of strain ratio(ε_HCF/ε_LCF)-life ratio(N_LCF/HCF/N_LCF) to predict the life of high and low cycle composite fatigue was advanced. The analysis of experimental data of three different materials showed that this method had certain versatility. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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METHODOLOGICAL JUSTIFICATION AND ANALYTICAL SUPPORT FOR CASH FLOW FORECASTING by Natalia BONDINA, Igor BONDIN, Irina PAVLOVA

“…Application of the proposed methodology on the example of a specific agricultural organization led to the conclusion that when using an adaptive model with a seasonal component, the calculated values have significant discrepancies with the actual data. The average value of the relative error exceeded 5%. …”
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All-Optical Wavelength Multicasting in Quadruple Resonance-Split Coupled Silicon Microring Cavity by Awanish Pandey, Shankar Kumar Selvaraja

“…Moreover, we also present a detailed analysis and performance of the multicasting architecture using bit error rate and eye diagram measurements.…”
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The transmission mechanism of 2008 global financial crisis to Tehran Stock Exchange by Seyed Gholamreza Jalali Naini, Ahmad Makui, Ehsan Mohebi

“…The index level series were non-stationary; therefore, we employed cointegration analysis and error correction vector autoregressions (VAR) techniques to model the interdependencies. …”
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SLIP OF THE TONGUE IN BBC NEWS ANCHORS’ VIDEOS IN TEXTUAL PRONUNCIATION CONTEXT by Dirtya Sunyi Paradewari, Barli Bram

“…One of the speech error phenomena is a slip of the tongue, which frequently occurs in pronunciation. …”
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Estimation of climatological parameters using ANN and WEKA models in Diyala Governorate, Iraq by DHER I. BAKR, JASIM Al-KHALIDI, HAZIM NOMAN ABED

“… Artificial Neural Networks (ANN) and Waikato Environment for Knowledge Analysis (WEKA) model were used to estimate the climatic parameters viz. minimum temperature (Tmin), maximum temperature (Tmax), relative humidity (RH), wind velocity (WV) using the time series of monthly data for the period of 1980 to 2022. …”
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Monopolization standards in US competition law: Evolution and evaluation by Rakić Ivana

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The impact of fiscal decentralization on economic growth of regions of the Russian Federation by R. I. Vasilyeva

“…The purpose of the study is to assess the impact of fiscal decentralization on the economic development of Russian regions. The analysis was conducted with panel data for 83 regions for the period 1996–2019. …”
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Robot Obstacle Recognition and Target Tracking Based on Binocular Vision by Wencheng Sun

“…Through the experimental data, it was found that the average error of the obstacle recognition and target tracking algorithm based on binocular vision could be controlled within 50 mm within the range of 2100 mm. …”
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Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China by Huan Ning, Yingji Lan, Qianqian Huang, Tingyan Luo, Jing Yang, Jie Zhou, Zhuoxin Li, Ping Cui, Hao Liang, Jiegang Huang

“…The performance of these predictive models was evaluated using mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE). …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…During monitoring, system noise and observation errors frequently interfere with data quality, posing additional challenges for analysis. …”
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AUTOMATED TECHNOLOGY OF MEASUREMENT OF PHYSIOLOGICAL PARAMETERS OF FARM ANIMALS by Victor Shigimaga, Natalia Kosulina, Mariya Chorna, Vitaly Sukhin, Stanislav Kosulin, Kostiantyn Korshunov, Yaroslav Yevsyukov

“…Equipped with video cameras and data relays, UAVs collect video footage that is transmitted to a central processing unit for real-time analysis and storage. …”
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