Suchergebnisse - "Hybrid Machine Learning Algorithm"

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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Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures von Ahmadian, Vahid, Beheshti Aval, S. Bahram, Noori, Mohammad, Wang, Tianyu, Altabey, Wael A.

“… Over the past two decades, an increasing number of large-scale structures have been built around the world. Constructing these structures has been a time …”
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A hybrid machine learning solution for redesigning sustainable circular energy supply chains von Sadeghi R., Kiarash, Abadi, Moein Qaisari Hasan, Haapala, Karl R., Huscroft, Joseph R.

“… •A sustainable circular decision-making model is developed.•A hybrid machine learning solution is presented.•A multi-objective optimization model is …”
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Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms von Pan, Changhong, Qi, Lu, Zhao, Lili, Wei, Yijun

“… •Intersection of Healthcare and Technology: The study explores the potential of non-pharmacological interventions like yoga in reducing the urgency of chronic …”
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A Multi-Layered Hybrid Machine Learning Algorithm (MLHA) for Type II Diabetes Classification von Jannoud, Ismael, Masoud, Mohammad Z., Jaradat, Yousef, Manaserah, Ahmad, Zaidan, Dema

“… Machine learning applications in the medical field has proliferated in the past decade. One of the main usages of machine learning in medical field is the …”
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Improving efficiency and stability of improved circular solar photovoltaic structures via multi-directional functionally graded materials: A computer simulation validated by hybrid machine learning algorithm and experimental datasets von Han, Simeng, Li, Jialing

“… The enhancement of solar photovoltaic (PV) structures remains a critical area of research for improving energy efficiency and structural stability. This study …”
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Enhancing energy capacity of the car's hood door under excitation frequency via functionally graded triply periodic minimal surface material: Application of machine learning and mathematical simulation von Long, Feng, Jiang, Lijian, Yang, Xiaohua, A. El-Meligy, Mohammed, Saleem, Kashif

“… This study investigates the nonlinear dynamic response and vibration characteristics of a car's hood door, focusing on its energy capacity under various …”
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Estimating SVCV waterborne transmission and predicting experimental epidemic development: A modeling study using a machine learning approach von Pan, Jiaji, Zeng, Qijin, Qin, Wei, Chu, Jixiang, Jiang, Haibo, Chang, Haiyan, Xiao, Jun, Feng, Hao

“… Viral infectious diseases significantly threaten the sustainability of freshwater fish aquaculture. The lack of studies on epidemic transmission patterns and …”
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Machine Learning Algorithms in Rock Strength Prediction: A Novel Method for Evaluating Dynamic Compressive Strength of Rocks Under Freeze-Thaw Cycles von Lv, You, Zhang, Ru, Zhang, Anlin, Shen, Yanjun, Ren, Li, Xie, Jing, Zhang, Zetian, Zhang, Zhilong, An, Lu, Sun, Junlong, Yan, Zhiwei, Mi, Ou

“… The combined impact of freeze-thaw cycles and dynamic loads significantly influences the long-term durability of rock engineering in high-cold regions …”
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DriSafePh: An IoT Based Realtime Driver Drowsiness Detection System using Hybrid Machine learning Algorithm von Von C. Golosinda, Kenneth, Van D. Marcellones, Jasper, Ampongol, Luke Jellergil P., Magloyuan, Neil P., Cerna, Patrick D.

“… Driver drowsiness contributes significantly to road accidents worldwide, and while drowsiness detection systems have already been implemented on higher-end …”
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Analysis of Plant Leaf Disease Based on Sensor and Machine Learning Technique von Chakole, Saurabh S., Khera, Shelej, Ukani, Neema Amish

“… Plant disease detection is crucial in the field of agriculture as it impacts yield and overall production. Due to the above mentioned issue going to impact the …”
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Phishing Classification Models an Empirical Study of Induction Factors for Effective Classification von Zuhair, Hiba, Selamat, Ali

“… recently, researchers have devoted prominent machine learning-based anti-phishing models to survive a supreme cyber-security versus phishing evolution on the …”
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Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir von Beheshtian, Saeed, Rajabi, Meysam, Davoodi, Shadfar, Wood, David A., Ghorbani, Hamzeh, Mohamadian, Nima, Alvar, Mehdi Ahmadi, Band, Shahab S.

“… A key parameter when drilling for gas and oil is to determine the safe mud weight window (SMWW) to ensure wellbore stability as part of a quantitative risk …”
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Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields von Abad, Abouzar Rajabi Behesht, Ghorbani, Hamzeh, Mohamadian, Nima, Davoodi, Shadfar, Mehrad, Mohammad, Aghdam, Saeed Khezerloo-ye, Nasriani, Hamid Reza

“… •1009 record date of from the Iranian condensate fields (Marun-Khami, Aghajari-Khami and Ahvaz-Khami).•New hybrid machine learning technique accurately …”
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Predicting the daily return direction of the stock market using hybrid machine learning algorithms von Zhong, Xiao, Enke, David

“… Big data analytic techniques associated with machine learning algorithms are playing an increasingly important role in various application fields, including …”
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Amismart an advanced metering infrastructure for power consumption monitoring and forecasting in smart buildings von Sarah Hadri, Mehdi Najib, Mohamed Bakhouya, Youssef Fakhri, Mohamed El aroussi, Zaradatcht Taifour, Jaafar Gaber

“… Abstract Load forecasting is considered to be the core of an efficient predictive energy management for buildings. In this context, the deployment of smart …”
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Estimation of Energy Produced in Hydroelectric Power Plant Industrial Automation Using Deep Learning and Hybrid Machine Learning Techniques von Aksoy, Bekir

“… Today, due to the rapidly increasing environmental pollution, the importance of energy obtained from renewable energy sources is increasing. One of these …”
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Comparison of Machine Learning Algorithms and Hybrid Computational Intelligence Algorithms for Rehabilitation Classification and Prognosis in Reverse Total Shoulder Arthroplasty von Vrouva, Sotiria, Koumantakis, George A., Sopidou, Varvara, Tatsios, Petros I., Raptis, Christos, Adamopoulos, Adam

“… Despite the increasing application of machine learning and computational intelligence algorithms in medicine and physiotherapy, accurate classification and …”
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Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms von Rashidi, Sina, Mehrad, Mohammad, Ghorbani, Hamzeh, Wood, David A., Mohamadian, Nima, Moghadasi, Jamshid, Davoodi, Shadfar

“… An important requirement of reservoir management is to understand the properties of reservoir fluids and dependent phase behaviors. This makes it possible to …”
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Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs von Behesht Abad, Abouzar Rajabi, Mousavi, Seyedmohammadvahid, Mohamadian, Nima, Wood, David A., Ghorbani, Hamzeh, Davoodi, Shadfar, Alvar, Mehdi Ahmadi, Shahbazi, Khalil

“… Gas condensate reservoirs display unique phase behavior and are highly sensitive to reservoir pressure changes. This makes it difficult to determine their PVT …”
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