Suchergebnisse - "Machine learning algorithm"

Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia von Ibrahem Ahmed Osman, Ahmedbahaaaldin, Najah Ahmed, Ali, Chow, Ming Fai, Feng Huang, Yuk, El-Shafie, Ahmed

“… Groundwater levels have been declining recently in Malaysia. This is why, the current study was aimed to propose an accurate groundwater levels prediction …”
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Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls von Kazemi, Farzin, Asgarkhani, Neda, Jankowski, Robert

“… Efficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and …”
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Multiple screen addiction and neurological complaints in adolescents: A machine learning-based classification model von Göger, Seda, Darol, Elif Sarica, Uzun, Süleyman

“… Multiple screen addiction is a growing public health problem, especially among young people. Early detection and classification of screen addiction are …”
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A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment von Uddin, Md Galal, Nash, Stephen, Rahman, Azizur, Olbert, Agnieszka I.

“… •A novel method developed for the assessment of coastal water quality.•WQI model was improved using systematic mathematical approaches.•Advanced machine …”
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Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India von Nandy, Subrata, Srinet, Ritika, Padalia, Hitendra

“… The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1 data and investigate the effect of integrating forest canopy height …”
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various machine learning techniques von Dehestani, A., Kazemi, F., Abdi, R., Nitka, M.

“… •Twenty Machine Learning (ML) algorithms implemented in Python software to predict fracture load and fracture toughness in three modes.•For fracture load, the …”
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Tool condition monitoring techniques in milling process — a review von Mohanraj, T., Shankar, S., Rajasekar, R., Sakthivel, N.R., Pramanik, A.

“… The most important improvement in metal the cutting industry is the continuous utilization of cutting tools and tool condition monitoring system. In the metal …”
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Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction von Asgarkhani, N., Kazemi, F., Jankowski, R.

“… •Improved Machine-Learning (ML) techniques were used to predict Maximum Interstory Drift Ratio (IDRmax) and Residual Interstory Drift Ratio (RIDR) of 384 …”
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Digital financial risk assessment method based on machine learning algorithm von Jin, Jing, Ma, Yusong

“… In order to explore more accurate and efficient means of digital financial risk assessment, this paper compares and analyzes the performance of different …”
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Model construction and verification of Financial Management Based on Machine Learning Algorithm von Chen, Yuchan

“… With the rapid development of big data and artificial intelligence technology, machine learning algorithms are increasingly widely used in the field of …”
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Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods von Asgarkhani, N., Kazemi, F., Jakubczyk-Gałczyńska, A., Mohebi, B., Jankowski, R.

“… Nowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift …”
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Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review von Talukdar, Swapan, Singha, Pankaj, Mahato, Susanta, Shahfahad, Pal, Swades, Liou, Yuei-An, Rahman, Atiqur

“… Rapid and uncontrolled population growth along with economic and industrial development, especially in developing countries during the late twentieth and early …”
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Intelligent prediction of slope stability based on visual exploratory data analysis of 77 in situ cases von Wang, Guangjin, Zhao, Bing, Wu, Bisheng, Zhang, Chao, Liu, Wenlian

“… Slope stability prediction research is a complex non-linear system problem. In carrying out slope stability prediction work, it often encounters low accuracy …”
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Improvement of blueberry freshness prediction based on machine learning and multi-source sensing in the cold chain logistics von Huang, Wentao, Wang, Xuepei, Zhang, Junchang, Xia, Jie, Zhang, Xiaoshuan

“… Traditional fruit freshness prediction and modeling heavily rely on various physicochemical indicators (such as water loss rate, pH, and VC content), which is …”
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Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area von Mohajane, Meriame, Costache, Romulus, Karimi, Firoozeh, Bao Pham, Quoc, Essahlaoui, Ali, Nguyen, Hoang, Laneve, Giovanni, Oudija, Fatiha

“… •Five new ensemble models were developed for forest fire susceptibility modeling.•10 conditioning factors were considered in this study.•RF-FR ensemble model …”
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A Comparative Study between Machine Learning Algorithm and Artificial Intelligence Neural Network in Detecting Minor Bearing Fault of Induction Motors von Esakimuthu Pandarakone, Shrinathan, Mizuno, Yukio, Nakamura, Hisahide

“… Most of the mechanical systems in industries are made to run through induction motors (IM). To maintain the performance of the IM, earlier detection of minor …”
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K-nearest neighbour technique for the effective prediction of refrigeration parameter compatible for automobile von Perundyurai Thangavel, Saravanakumar, Vellingiri, Suresh, Rajendrian, Srinivasan, Munusamy, Sundarrajan, Chinnaiyan, Saravanan

“… Manufacturing simulation is an encouraging research area in resent decade. Creation or development of better simulation tool or technique is one of the major …”
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An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives von Fu, Yuanyuan, Yang, Guijun, Pu, Ruiliang, Li, Zhenhai, Li, Heli, Xu, Xingang, Song, Xiaoyu, Yang, Xiaodong, Zhao, Chunjiang

“… •Existing crop N estimation mainly relies on the correlation of chlorophyll with N.•A comprehensive survey of N-related hyperspectral VIs was made.•Combined …”
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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing von Jung, Young Hoon, Hong, Seong Kwang, Wang, Hee Seung, Han, Jae Hyun, Pham, Trung Xuan, Park, Hyunsin, Kim, Junyeong, Kang, Sunghun, Yoo, Chang D., Lee, Keon Jae

“… Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice …”
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Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms von Bakay, Melahat Sevgül, Ağbulut, Ümit

“… Today, the world’s primary energy demand has been met by the burning of fossil-based fuels at a rate of 85%. This dominant use of fossil-based fuels has led to …”
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