Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

“…The Alternating Least Squares (ALS) method, in particular, stands out for its ability to process data in parallel, thereby enhancing computational efficiency. …”
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Learning stream plot: classroom activity visualization with daily learning log data by Izumi Horikoshi, Yuko Toyokawa, Kohei Nakamura, Rwitajit Majumdar, Hiroaki Ogata

“…This study proposed to utilize these cross-platform integrated learning log data for learning activity visualization. A case study of a Japanese junior high school class with 38 students and a teacher’s xAPI log showed the possibility of not only visualizing what happened in the classroom from the learning logs that are accumulated on a daily basis but also revealing why it happened. …”
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Simulation and Experimental Study of Ventilated Active Cooling for the Logging Tool Electronics Section by YANG Gengjia, DENG Chao, PENG Jiale, TIAN Zhibin, WEI Zanqing, LUO Xiaobing

“…The research results demonstrate the ventilated active cooling method proposed in this study can efficiently solve the problem of slow heat dissipation in the internal system of the logging tool after high-temperature operation, and an autonomous cooling process can be designed based on this model.…”
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Modelling child anaemia and co-existing infections using log-linear models by Grace Kakaire, Gregory Kerich, Robert Too, Mathew Kosgei

“…The sample included 7,124 children selected through a two-stage sampling process involving clusters and households. Five log linear models, namely; saturated, mutual independence, joint independence, conditional independence and homogenous models were fitted. …”
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Modelling the Spatial Dependence of Multi‐Species Point Patterns by Chathuri L. Samarasekara, Ian Flint, Yan Wang

Subjects: “…log‐Gaussian cox process…”
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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

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BIM log mining framework using deep learning for productivity assessment in construction facilities by Ali Akbar, Younghee Chang, Jinwoo Song, Seojoon Lee, Sanghyeon Park, Jinhyun Bae, Soonwook Kwon

“…This study proposes an automated framework leveraging Building Information Modeling (BIM) interaction logs and predictive modeling. The methodology involves systematic log data processing and feature engineering, generation of pseudo-label productivity scores derived from an initial expert-informed model, and a rigorous comparative evaluation of predictive architectures. …”
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INTEGRATION OF MULTIPLE LOG DATA FOR ACCURATE POROSITY AND PERMEABILITY ESTIMATION, NIGER DELTA BASIN by Attai, E. S., Akpabio, I. O.

“…The use of well logs is significant to obtain accurate and improved porosity, permeability and watersaturation. …”
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Research on Key Technologies of 260 °C/210 MPa Ultra-Deep Logging Equipment by Zhanglong Chen, Wenhui Chen, Zhanhua You, Shuihang Wang, Xiao Liu, Dan Wu, Rui Deng

“…Deep and ultra-deep oil, which are unconventional oil reservoirs have become an important field for increasing reserves and production in China’s oil and gas exploration and development, and pose higher requirements for ultra-deep logging technology and equipment. For addressing the technical challenges faced in the development of 260 °C/210 MPa ultra-high temperature and high-pressure logging equipment, based on the CPLog fast and imaging series instruments, this article originally proposes key core technologies and solutions such as 260 °C/210 MPa electromechanical sensors, 13,000 m cable communication, and large borehole correction processing. …”
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A Scale Normalized Generalized LoG Detector Approach for Retinal Vessel Segmentation by Mohammad A. U. Khan, Faizan Daud, Awais Akram, Rizwan Ali Naqvi, Mehwish Mehmood, Dildar Hussain, Toufique Ahmed Soomro

“…Laplacian kernel approximates the second-order derivative to the image, which can be effective in combination with Gaussian smoothing in the form of LoG. The LoG detectors are famous for good border detection in noisy images. …”
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Rotor-System Log-Decrement Identification Using Short-Time Fourier-Transform Filter by Qihang Li, Weimin Wang, Lifang Chen, Dan Sun

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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…However, the formation density and the detector counting rate during well logging process exhibit a nonlinear relationship. …”
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Automatized Driving Data Analyzer: A Synchronized and Modular Application for Data Logging and Analysis by Ágoston Pál Sándor, Viktor Nagy

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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…This method is especially suitable for handling the intricate nature of well log data. In this study, Python was used to develop predictions for missing data, demonstrating the capability of machine learning to enhance data reliability and improve petroleum exploration processes. …”
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Log traceability and supply-chain verification by DNA markers in Fagus sylvatica L. in Italy by Angela Teani, Giovanbattista de Dato

“… Verifying the match of a timber log with its population of origin represents a meaningful improvement for the preservation and valorisation of the wood chain. …”
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Research on attenuation rate correlation calibration method based on acoustic variable density logging by Dongming Liu, Ronghui Yan, Chao Zhou, Lisha Zhang, Pan Zhao, Bing Li, Jun Qin

“…Abstract In order to solve the problem of logging calibration without a free pipe in the process of acoustic variable density logging and the subjective problem of the free pipe calibration method, this paper studies an attenuation rate calibration method based on acoustic variable density logging. …”
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Operational efficiency and environmental impacts: a study on cut-to-length logging in the Carpathian forests by Michal Allman, Martin Jankovský, Vladimír Bobrík, Zuzana Dudáková

“…IntroductionThe performance and consumption of CTL technologies in the forest harvesting process are influenced by a wide range of technological conditions and factors, requiring detailed analysis to increase machine performance and reduce environmental impacts.MethodsIn the presented study, we investigated the efficiency of different CTL (cut-to-length) logging machines in 1,390 forest stands from 2020 to 2022. …”
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AI-powered IoT and UAV systems for real-time detection and prevention of illegal logging by Montaser N.A. Ramadan, Mohammed A.H. Ali, Shin Yee Khoo, Mohammad Alkhedher

“…Illegal logging poses a significant threat to environmental conservation, contributing to deforestation, ecosystem disruption, and economic losses. …”
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Prediction Method for Anisotropy and Fracture Parameters of Reservoirs with Vertical Fractures Based on Acoustic Logging by MENG Jikun, QI Qiaomu, LI Linxin, LI Xiaobin, ZHENG Qinren

“…Through the waveform coherence stacking methods and waveform matching inversion method, the multipole acoustic logging waveform data is processed and the relevant parameters are extracted. …”
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Fundamentals of well logging data interpretation for determining prospective Frasnian-Famennian Domanik deposits by D. E. Zagranovskaya, S. I. Isaeva, O. A. Zakharova

“…Extended well logging data were collected for the wells under consideration. …”
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