Morphology and gas response of nanocomposite structures based on irradiated ensembles of multi-walled carbon nanotubes and titanium oxide by V. V. Bolotov, E. V. Knyazev, I. V. Ponomareva, V. E. Roslikov

“…The morphology of the ensembles of individual MWCNT/TiOx composite nanostructures functionalized with argon ions and the gas response of these nanostructures to NO2 and H2 S are studied. …”
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Enhanced early prediction of Li-ion battery degradation using multicycle features and an ensemble deep learning model by Meilia Safitri, Teguh Bharata Adji, Adha Imam Cahyadi

Subjects: “…GRU-LSTM ensemble…”
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An improved ShuffleNetV2 method based on ensemble self-distillation for tomato leaf diseases recognition by Shuiping Ni, Yue Jia, Mingfu Zhu, Mingfu Zhu, Yizhe Zhang, Wendi Wang, Shangxin Liu, Yawei Chen

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A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures by Mohamed Chetoui, Moulay A. Akhloufi

“…<b>Methods:</b> In this study, we propose a novel ensemble learning framework combining four deep learning architectures: U-Net, ResNet50, U-Net with a ResNet50 backbone, and U-Net with a transformer block. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

Subjects: “…deep ensemble learning…”
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Author Correction: An ensemble method for improving robustness against the electrode contact problems in automated sleep stage scoring by Kazumasa Horie, Ryusuke Miyamoto, Leo Ota, Takashi Abe, Yoko Suzuki, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa, Hiroyuki Kitagawa

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A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest by S.N. Ferdous, J.P. Ahire, R. Bergman, L. Xin, E. Blanc-Betes, Z. Zhang, J. Wang

“…Here, we developed a novel ML model that integrated a hybrid Prophet-ANN and snapshot ensemble approach. First, we extracted temporal features using the Prophet Forecasting model. …”
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Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process by Huaiping Jin, Jiangang Li, Meng Wang, Bin Qian, Biao Yang, Zheng Li, Lixian Shi

“…To obtain real-time and accurate estimations of Mooney viscosity, a novel soft sensor method, referred to as multimodal perturbation- (MP-) based ensemble just-in-time learning Gaussian process regression (MP-EJITGPR), is proposed by exploiting ensemble JIT learning. …”
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Hybrid ML Algorithm for Fault Classification in Transmission Lines Using Multi-Target Ensemble Classifier with Limited Data by Abdallah El Ghaly

“…A novel Multi-Target Ensemble Classifier was developed to improve classification accuracy. …”
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Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study by Songjing Chen, Sizhu Wu

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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

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Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope by Song Jiang, Minjie Lian, Caiwu Lu, Qinghua Gu, Shunling Ruan, Xuecai Xie

“…In order to make up this disadvantage, this research will provide an ensemble prediction algorithm of anomalous system data based on time series and an evaluation system for the algorithm. …”
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The impact of ion beams and thermal annealing on the structure and electrophysical properties of individual multi-walled carbon nanotubes and their ensembles by E. V. Knyazev, K. E. Ivlev, V. E. Kan

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TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble by Carlos Couder-Castañeda, Carlos Ortiz-Alemán, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

“…An implementation with the CUDA technology in a single and in several graphics processing units (GPUs) is presented for the calculation of the forward modeling of gravitational fields from a tridimensional volumetric ensemble composed by unitary prisms of constant density. …”
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Formation and creative manifestation of functional ensembles of intellectual agents based on live information in various spheres of life activity by Evgeny Bryndin

“…Functional ensembles of harmoniously interacting intellectual agents with live creative practice can cooperate with a person, and can also independently virtually model the creative creation of new designs of a specialist, if the ensemble has enough acts of creation.…”
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Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things by Junyu Ren, Haibin Wan, Chaoyang Zhu, Tuanfa Qin

Subjects: “…ensemble learning…”
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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“…ObjectiveThis study aims to develop an ensemble learning framework that adaptively integrates multimodal physiological data collected from wearable wristbands and digital cognitive metrics recorded on tablets, thereby improving the accuracy and practicality of MCI detection. …”
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Ensemble Weights-Based Geospatial Model for Optimal Allocation of Wind Turbines: A Case Study in Wasit, Iraq by Sachit Mourtadha Sarhan

“…This research aims to improve existing decision-making approaches by proposing an ensemble weight-based model for mapping the spatial suitability of onshore wind systems. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Dalam riset ini membahas bagaimana meningkatkan akurasi segmentasi semantik gambar pada metode ensemble learning untuk menangani masalah data yang tidak seimbang dalam segmentasi gambar. …”
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Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques by Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida

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