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Showing 101 - 120 of 3,332

101

Comparative Study on Prediction Models for Crack Opening Degree in Concrete Dam
HUANG Song ; WU Jie ; FANG Zhanchao ; et al.
Renmin Zhujiang, Vol 46, Pp 25-31 (2025)

concrete dam crack opening degree statistical model random forest algorithm River, lake, and water-s... TC401-506
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102

Prediction of laser welding process for magnetic field-assisted dissimilar magnesium/aluminum metals based on DBO-RF
Xinyu WANG ; Dianwu ZHOU ; Lei ZHAO ; et al.
Hanjie xuebao, Vol 46, Iss 2, Pp 72-79 (2025)

laser welding mg/al dissimilar metals external magnetic field dung beetle optimization... random forest algorithm Mechanical engineering a... …
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103

A Comparative Study of the Performance of KNN, NBC, C4.5, and Random Forest Algorithms in Classifying Beneficiaries of the Kartu Indonesia Sehat Program
Putri Nabillah ; Inggih Permana ; M. Afdal ; et al.
Jurnal Sistem Informasi, Vol 10, Iss 1, Pp 17-26 (2024)

kartu indonesia sehat pr... T58.6-58.62 random forest algorithm c4.5 algorithm Management information s...
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104

ENHANCING KURDISH SIGN LANGUAGE RECOGNITION THROUGH RANDOM FOREST CLASSIFIER AND NOISE REDUCTION VIA SINGULAR VALUE DECOMPOSITION (SVD)
Sara A. Ahmed ; Bozhin N. Mahmood ; Diar J. Mahmood ; et al.
Science Journal of University of Zakho, Vol 12, Iss 2 (2024)

Sign Language Science Kurdish Sign Language Random Forest Algorithm Real Time Recognition an...
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105

Intelligent Control of the Dry Slag Discharge System in Power Plants Based on the Random Forest Algorithm
Ran Chumeng ; Li Zhe ; Xiao Jie ; et al.
IEEE Access, Vol 13, Pp 187922-187929 (2025)

Thermal power plant dry slag discharge intelligent control random forest algorithm Electrical engineering.... TK1-9971
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106

Digital economy and rural household resilience: Evidence from China
Jianghong Xu ; Chenguang Wang ; Xukang Yin ; et al.
Agricultural Economics (AGRICECON), Vol 70, Iss 5, Pp 244-263 (2024)

index system random forest algorithm 0502 economics and busin... 05 social sciences 11. Sustainability 8. Economic growth …
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107

Automatic Irrigation System Based on Computer Vision and an Artificial Intelligence Technique Using Raspberry Pi
Munir Oudah ; Ali Al-Naji ; Thooalnoon Y. AL-Janabi ; et al.
Automation, Vol 5, Iss 2, Pp 90-105 (2024)

2. Zero hunger 0209 industrial biotechn... color image analysis random forest algorithm Raspberry Pi 0202 electrical engineer... …
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108

Effectiveness of the method for selecting rotary-steerable systems based on the machine learning algorithm Random Forest Classifier
Vyacheslav V. Nikishin ; Pavel A. Blinov ; Vadim A. Terekhin
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 335, Iss 4 (2024)

artificial intelligence... application of the rando... TA703-712 machine learning in dril... machine learning applica... Engineering geology. Roc... …
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109

Revealing dominant patterns of aerosols regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations
J. Li ; M. Righi ; J. Hendricks ; et al.
eISSN
Atmospheric Chemistry and Physics, Vol 24, Pp 12727-12747 (2024)

preindustrial aerosol Chemistry machine learning 13. Climate action aerosol regimes Physics …
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110

Analyzing the prominence of road accidents on environmental pollution: utilizing machine learning through the random forest algorithm
Al-Mulali, U. ; Raboshuk, A. ; Ali, A. ; et al.
International Journal of Environmental Science and Technology. :1-16

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111

Risk attitudes and private disability insurance holdings
Giannikos, Christos I. ; Kakolyris, Andreas ; Suen, Tin Shan
Journal of Economics and Finance. :1-22

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112

Climate-driven water stress and hydrological drought vulnerability in the dry zone basins in Sri Lanka: insights from climate modelling and Random Forest algorithm
Wijekoon, Tharindi ; Rajapakse, Lalith ; Matheswaran, Karthikeyan
Modeling Earth Systems and Environment. 10(6):6931-6948

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113

Evaluation and Prediction of Compressive Strength of Self-compacting Concrete Containing Ultrafine Ground Granulated Blast Furnace Slag Using Random Forest Algorithm
Vijaya Sarathy, R. ; Radhika, R. ; Asha, W. ; et al.
International Journal of Pavement Research and Technology. :1-10

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114

Drilling Studies on MWCNT- and Zirconia-Reinforced Aluminium Alloy 8011 Hybrid Composite: A Machine Learning Approach
Senthil, V. ; Balasubramanian, E. ; Raju, G. Sundar ; et al.
Arabian Journal for Science and Engineering. 49(11):14741-14762

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115

An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers
Amulu, Lourdes Mary ; Manjusha, M. ; Ashok, J.
Evolving Systems: An Interdisciplinary Journal for Advanced Science and Technology. 15(5):1801-1815

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117

Modelling the economic effect of inbound birth tourism: a random forest algorithm approach
Solarin, Sakiru Adebola ; Gorus, Muhammed Sehid ; Ozgur, Onder
Quality & Quantity: International Journal of Methodology. 58(5):4223-4240

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118

Development of QSAR Models and Web Applications for Predicting hDHFR Inhibitor Bioactivity Using Machine Learning
Ibrahim Maattallaoui ; Mahamadou Sakho ; Abdellah Maatallaoui ; et al.
Molecules, Vol 30, Iss 23, p 4618 (2025)

hDHFR ML-QSAR random forest algorithm machine learning bioactivity prediction Organic chemistry …
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119

Improved Data Processing and a Prior Profile Generation Method for Precise Retrieval of Atmospheric CO2 Based on a Laser Heterodyne Radiometer
Nianna Fu ; Zhao Chen ; Kun Liu ; et al.
Remote Sensing, Vol 17, Iss 23, p 3791 (2025)

laser heterodyne radiome... random forest algorithm prior profiles baseline correction spectral inversion Science
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120

Spatial and Temporal Patterns of Mangrove Forest Change in the Mekong Region over Four Decades Based on a Remote Sensing Data-Driven Approach
Akkarapon Chaiyana ; Markus Immitzer ; Jaturong Som-ard ; et al.
Remote Sensing, Vol 17, Iss 22, p 3728 (2025)

mangrove forest random forest algorithm classification time series data Landtrendr Science
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