Suchergebnisse - "Gradient boosting algorithm"

Electroencephalography based classification of emotions associated with road traffic noise using Gradient boosting algorithm von Manohare, Manish, Rajasekar, E., Parida, Manoranjan

“… •A listening experiment is conducted with 14 participants who listened to 14 traffic noise stimuli.•EEG signals are recorded as a psychophysiological response …”
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Online comment‐based prediction of cosmetic ingredient's sensory irritation using gradient boosting algorithm von Jiang, Biao, Wang, Huijuan, Cheng, Li, Zi, Yusha, He, Congfen, Den, Yi‐Ann

“… Objective A gradient boosting algorithm is adopted in our context to integrate multisource of information including skin types, sensory response, and cosmetics ingredients to predict sensory irritation …”
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A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features von Baki, Neslihan, Gürsel Özmen, Nurhan

“… Parkinson's disease (PD) is a serious neurological disease that is threatening the whole world population. The devolution of the neurons located in the …”
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Automatic Segmentation of Actigraphy Data Utilising Gradient Boosting Algorithm von Mikulec, Marek, Mekyska, Jiri, Sigmund, Jan, Galaz, Zoltan, Brabenec, Lubos, Moravkova, Ivona, Rektorova, Irena

“… with polysomnography (PSG). This study aims to introduce a new approach to sleep assessment that utilises the modelling of actigraphy data by a gradient boosting algorithm …”
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Significant of Gradient Boosting Algorithm in Data Management System von Hosen, Md Saikat, Amin, Ruhul

“… This study is aimed at delineating the significance of the gradient boosting algorithm in data management systems …”
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Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements von Lee, Soojeong, Al-antari, Mugahed A., Joshi, Gyanendra Prasad

“… Thus, we proposed a method to obtain improved CIs for individual subjects by applying bootstrap and uncertainty methods using the cuff-less BP estimates of each subject obtained through GPR …”
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Prediction of breath‐holding spells based on electrocardiographic parameters using machine‐learning model von Khalilian, Mohammad Reza, Tofighi, Saeed, Attar, Elham Zohur, Nikkhah, Ali, Hajipour, Mahmoud, Ghazavi, Mohammad, Samimi, Sahar

“… Background Breath‐holding spells (BHS) are common in infancy and early childhood and may appear like seizures. Factors such as autonomic dysfunction and iron …”
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Improved Alzheimer’s Disease Detection by MRI Using Multimodal Machine Learning Algorithms von Battineni, Gopi, Hossain, Mohmmad Amran, Chintalapudi, Nalini, Traini, Enea, Dhulipalla, Venkata Rao, Ramasamy, Mariappan, Amenta, Francesco

“… To predict the AD subject status, the MRI demographic information and pre-existing conditions of the patient …”
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Development of facial-skin temperature driven thermal comfort and sensation modeling for a futuristic application von Jia, Mengqi, Choi, Joon-Ho, Liu, Hanxun, Susman, Gideon

“… The human body is governed by the physiological thermoregulation principle of balancing the heat flux between the body itself and the ambient thermal …”
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Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting

“… Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The …”
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Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models von Perez Cortes, Victoria M., Chatterjee, Arnab, Khovalyg, Dolaana

“… •Dynamic modeling of energy expenditure can capture transient thermoregulation and food intake effect.•LSTM networks promise high accuracy of time-series data …”
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Assessment of obstructive sleep apnea severity using audio-based snoring features von Xie, Jiali, Fonseca, Pedro, van Dijk, Johannes, Overeem, Sebastiaan, Long, Xi

“… •Novel audio-based features that exploit snoring characteristics including the variability of snoring sounds and trend in snore energy were proposed.•An …”
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Fat mass prediction equations and reference ranges for Saudi Arabian Children aged 8–12 years using machine technique method von Alkutbe, Rabab B., Alruban, Abdulrahman, Alturki, Hmidan, Sattar, Anas, Al-Hazzaa, Hazzaa, Rees, Gail

“… The number of children with obesity has increased in Saudi Arabia, which is a significant public health concern. Early diagnosis of childhood obesity and …”
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A telemedicine tool framework for lung sounds classification using ensemble classifier algorithms von Jaber, Mustafa Musa, Abd, Sura Khalil, Shakeel, P.Mohamed, Burhanuddin, M.A., Mohammed, Mohammed Abdulameer, Yussof, Salman

“… Lung sounds produce appropriate evidence related to pulmonary disorders, and to assess subjects pulmonary situations …”
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Kinetics prediction of normal knee and undergone total knee arthroplasty during squatting based on extreme gradient boosting von Chaiyasit, Kasiwat, Phombut, Chotchuang, Wiangkham, Attasit, Rooppakhun, Supakit

“… -up. The sixty-two subjects, consisting of 31 with normal knees and 31 who had undergone total knee arthroplasty, evaluated the kinetics of the knee joints during squatting using inverse dynamics analysis …”
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Development of a machine learning-based risk prediction model for cerebral infarction and comparison with nomogram model von Li, Xuewen, Wang, Yiting, Xu, Jiancheng

“… ), Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF) were selected to mine all routine test data of the enrolled subjects for screening CI model features …”
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Nationwide operational mapping of grassland first mowing dates combining machine learning and Sentinel-2 time series von Rivas, Henry, Touchais, Hélène, Thierion, Vincent, Millet, Jerome, Curtet, Laurence, Fauvel, Mathieu

“… Grassland dynamics are modulated by management intensity and impact overall ecosystem functioning. In mowed grasslands, the first mowing date is a key …”
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Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital death von Li, Xuewen, Xu, Changyan, Shang, Chengming, Wang, Yiting, Xu, Jiancheng, Zhou, Qi

“… •Extreme gradient Boosting algorithm outperforms logistic regression.•HF-Lab10 accurately predicts hemorrhagic transformation …”
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Prediction of regional brain tau levels in early Alzheimer’s disease using plasma pTau217 von Devanarayan, Viswanath, Charil, Arnaud, Doherty, Thomas, Llano, Daniel A., Ye, Yuanqing, Andreozzi, Erica, Zhou, Jin, Sachdev, Pallavi, Reyderman, Larisa, Hampel, Harald, Kramer, Lynn D, Dhadda, Shobha, Irizarry, Michael C.

“… Alzheimer’s disease individuals. The stochastic gradient boosting algorithm was employed to construct models for concurrently predicting SUVR values across various brain regions …”
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Improving the efficiency of developing meta-subject scenarios in the Moscow Electronic School by means of educational analytics von Lavrenova, Ekaterina, Yarmakhov, Boris

“… One of the problems connected with the development of meta-subject skills in school students is the lack of publicly available educational materials with a focus on such skills …”
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