Combination strategy of active learning for hyperspectral images classification by Ying CUI, Kai XU, Zhongjun LU, Shubin LIU, Liguo WANG

Subjects: “…active learning;ensemble learning;hyperspectral image;strategy combination…”
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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

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Pre-Trained Language Model Ensemble for Arabic Fake News Detection by Lama Al-Zahrani, Maha Al-Yahya

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Estimation of High Spatial Resolution CO₂ Concentration in China from 2010 to 2022 Based on Multi-Source Carbon Satellite Data by Shanzhao Cai, Heng Dong, Bo Zhang, Huan Huang

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Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction by Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied Saied

Subjects: “…Breast cancer, Cancer prediction, Deep learning, Ensemble learning, Lung cancer, Machine learning, Medical engineering.…”
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Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

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Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles by Keartisak Sriprateep, Surajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, Sarinya Sala-Ngam, Yottha Srithep, Sarayut Gonwirat, Peerawat Luesak, Surasak Matitopanum, Chakat Chueadee, Rungwasun Kraiklang, Monika Kosacka-Olejnik

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Bayesian-optimized ensemble deep learning models for demand forecasting in the volatile situations: A case study of grocery demand during Covid-19 outbreaks by Nader AL Theeb, Hazem Smadi, Naser Al-qaydeh

Subjects: “…demand prediction, machine learning, ensemble model, bayesian optimization, long short-term memory (lstm), gated recurrent unit (gru)…”
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Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

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Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection by Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei

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GeoDisasterAINet: An Explainable Deep Ensemble Framework for Real-Time Urban and Rural Disaster Classification and Resilience by Akella S. Narasimha Raju, Seelam Sreekanth, Ranjith Kumar Gatla, M. Rajababu, Devineni Gireesh Kumar, Aymen Flah, Claude Ziad El-Bayeh, Khaled A. El-Nagdy, Ali Alzaed

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