Study on applicability of indoor electromagnetic wave propagation attenuation statistical models in mines by SUN Jiping, PENG Ming

“…Due to the significant prediction errors, these models are unsuitable for mines. Currently, no specific statistical model for mine electromagnetic wave propagation attenuation has been developed based on the unique environment of mines. …”
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Application of Kolmogorov-Arnold network (KAN) for solitary-Peakon investigation of Lax model by Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Israr Ul Hassan, Adnan, Ines Hilali Jaghdam, Mouloud Aoudia, Lioua Kolsi

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Automated mining of packet signatures for traffic identification at application layer with apriori algorithm by LIU Xing-bin1, YANG Jian-hua1, XIE Gao-gang1, HU Yue1

“…The identification rate, accuracy rate, positive identifi-cation error rate and negative identification error rate have been verified with experiment on some traces to valid the mined signatures.…”
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Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

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Development of Paramadina Roomhub Application As Room Booking System Using Waterfall Method by Reza Arif Maulana, Muhamad Adillah Fatih, Lintang Arbi Suto, Muhammad Darwis

“…The manual room booking process at Paramadina University faces several challenges, including inefficiencies, human errors, and communication breakdowns between applicants and facility managers. …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Additionally, the noise reduction and P-wave arrival time picking performance was evaluated by the total cost function of P-wave arrival picking errors. Both the synthetic tests of noisy Ricker wavelet and the microseismic data application of the Gengcun coal mine indicate that the Adaboost_LSTM model has excellent noise fitting capabilities but poor fitting for useful microseismic signals that haven’t undergone neural network training. …”
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Some methods of estimating the spatial pattern point data with application ( comparative study) by Jaufar Mousa Mohammed

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Development of Electromagnetic Acoustic Transducers for Shear Wave Applicable to High Lift-off by Yuki YOSHIDA, Tomohiro YAMASAKI, Hisato FURUTA, Kazuki HAMADA

“…Finally, we calculated the errors in thickness measurements due to lift-off, showing that the errors were generally less than approximately 1%.…”
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Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods. by Fahd Saeed Alakbari, Syed Mohammad Mahmood, Mohammed Abdalla Ayoub, Muhammad Jawad Khan, Funsho Afolabi, Mysara Eissa Mohyaldinn, Ali Samer Muhsan

“…The cross-plotting and group error analyses also confirmed that the proposed GPR approach had high precision and surpassed other methods within all practical ranges. …”
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Improving Performance of Integrated Ground-HAPS FSO Communication Links With MIMO Application by Emna Zedini, Yalcn Ata, Mohamed-Slim Alouini

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A Methodology to Design Broadband Negative Inductors with Tight Tolerance for Microwave Applications by B. S. Buiantuev, N. S. Kalmykov, E. V. Iakovenko, D. V. Kholodnyak

“…As a result, broadband NFE characteristics differ from the target ones remarkably that limits practical applications.Aim. Elaboration of a design methodology to compensate the Linvill’s NIC conversion error and realize high-accuracy broadband negative inductors.Materials and methods. …”
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Application of Artificial Neural Network (ANN) in Predicting Box Compression Strength (BCS) by Juan Gu, Euihark Lee

“…This study explores the application of artificial neural networks (ANNs) to estimate BCS at an industry-applicable level. …”
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Scheme Design and Key Technology Application of Multi-joint Unmanned Underwater Vehicle by HAN Tao, HU Zhiqiang, CUI Qingjia, QING Xiaohui, XU Biao

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An Application of High-Resolution Mobile Mapping in Smart Cities: Gaziosmanpasa Case Study by R. A. Kucak, İ. Yakar, İ. Buyuksalih

“…Since the measurements made on the building surfaces are especially important for smart city applications, the margin of error of the measurements should be taken into consideration. …”
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Research and application of the algorithm editing method for improving active noise control performance by Haisheng Song, Yahui Dong, Na Yang, Zhiyong Chen

“…The results show a noteworthy enhancement in convergence speed and reduction of steady-state error, attained without a simultaneous escalation in computational complexity. …”
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Improved Empirical Mode Decomposition Algorithm of Processing Complex Signal for IoT Application by Xianzhao Yang, Gengguo Cheng, Huikang Liu

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Concurrent Validity and Reliability of a Free Smartphone Application for Evaluation of Jump Height by Amândio Dias, Paulo Pires, Leandro Santana, Paulo Marques, Mário C. Espada, Fernando Santos, Eduardo Jorge Da Silva, André Rebelo, Diogo S. Teixeira

“…However, it presents a slight estimation error when compared to the contact platform.…”
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Application of data visualization technology in human resource management and employee resignation prediction by Xue Wang, Nannan Huang

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Application of Machine Learning for Academic Outcome Prediction: A Methodological Comparative Study by Md. Wira Putra Dananjaya, Putu Gita Pujayanti

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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

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