Analysis of Happiness in EU Countries Using the Multi-Model Classification Based on Models of Symbolic Data by Marcin Pełka

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Prediction method of sugarcane important phenotype data based on multi-model and multi-task. by Jihong Sun, Chen Sun, Zhaowen Li, Ye Qian, Tong Li

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Multi-model learning for vessel ETA prediction in inland waterways using multi-attribute data by Abdullah Al Noman, Anton Zitnikov, Aaron Heuermann, Klaus-Dieter Thoben

“…Existing ETA prediction models largely rely on Automatic Identification System (AIS) data but often overlook additional factors. This study introduces a deep learning-based Multi-Model learning approach that fuses multi-attribute data from multiple sources to enhance ETA prediction accuracy. …”
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Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm by Mosleh Hmoud Al-Adhaileh, Mosleh Hmoud Al-Adhaileh, Sultan Ahmad, Alhasan A. Alharbi, Mohammed Alarfaj, Mohammed Alarfaj, Mukta Dhopeshwarkar, Theyazn H. H. Aldhyani

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Bankruptcy Prediction Using First-Order Autonomous Learning Multi-Model Classifier by Amine Sabek, Jakub Horák, Hussam Musa, Amélia Ferreira da Silva

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Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence by Asma Aldrees, Stephen Ojo, James Wanliss, Muhammad Umer, Muhammad Attique Khan, Bayan Alabdullah, Shtwai Alsubai, Nisreen Innab

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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis by Christopher JOHNSON, ZHOU Heng, Richard TAY, SUN Qian(Chayn)

“…In the continually evolving landscape of data-driven methodologies addressing car crash patterns, a holistic analysis remains critical to decode the complex nuances of this phenomenon. …”
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A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

“…The two-tailed t-test and F-test for mean and variance (99% Confidence Interval, CI) show no significant difference between the proximate analysis-derived ash yield and the multi-model estimated ash yield using FTIR data. …”
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On Multi‐Model Assessment of Complex Degradation Paths: The Fate of Diclofenac and Its Transformation Products by Laura Ceresa, Alberto Guadagnini, Paula Rodríguez‐Escales, Monica Riva, Xavier Sanchez‐Vila, Giovanni M. Porta

“…Such simplifications are accomplished consistent with the results of a comprehensive Multi‐Model Global Sensitivity Analysis. The latter allows ranking the levels of influence of system processes on model outputs by incorporating the effects of model formulation and parametric uncertainties. …”
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Multi-model radiomics and machine learning for differentiating lipid-poor adrenal adenomas from metastases using automatic segmentation by Shengnan Yin, Ning Ding, Shaocai Wang, Mengjuan Li, Yichi Zhang, Jiacheng Shen, Haitao Hu, Yiding Ji, Long Jin

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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets. by Kazi Arman Ahmed, Israt Humaira, Ashiqur Rahman Khan, Md Shamim Hasan, Mukitul Islam, Anik Roy, Mehrab Karim, Mezbah Uddin, Ashique Mohammad, Md Doulotuzzaman Xames

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Engineering a multi model fallback system for edge devices by Gaurav Kadve, Abishi Chowdhury, Vishal Krishna Singh, Amrit Pal

“…This paper presents a novel multi-model fallback system designed for deployment on resource-constrained edge devices, leveraging the advancements of TinyML. …”
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Age and growth of skipjack tuna (Katsuwonus pelamis) in the western equatorial Atlantic based on dorsal spines analysis by Manuel Alves da CUNHA-NETO, Humberto Gomes HAZIN, Guelson Batista da SILVA

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Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories by M. Petrenko, M. Petrenko, R. Kahn, R. Kahn, M. Chin, S. E. Bauer, T. Bergman, H. Bian, G. Curci, B. Johnson, J. W. Kaiser, Z. Kipling, H. Kokkola, H. Kokkola, X. Liu, K. Mezuman, K. Mezuman, T. Mielonen, G. Myhre, X. Pan, X. Pan, A. Protonotariou, S. Remy, R. B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, K. Tsigaridis, H. Wang, D. Watson-Parris, D. Watson-Parris, K. Zhang

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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

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Cortical Adaptation Dynamics in Human-Exoskeleton Interaction Using Multi-Model AMICA by Jasim Naeem, Seongmi Song, Michael Nonte, Courtney A. Haynes, J. Cortney Bradford

“…This study aimed to investigate cortical dynamics during human-exoskeleton interactions using multi-model Adaptive Mixture ICA (AMICA), hypothesizing that the approach would separate EEG data into distinct phases corresponding to adaptation levels and reveal changes in brain area engagement over time. …”
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Antifungal efficacy of thyme essential oil: a multi-model approach to growth inhibition by Ricardo H. Hernández-Figueroa, Emma Mani-López, Aurelio López-Malo, Enrique Palou, Teresa Soledad Cid-Pérez, Guadalupe Virginia Nevárez-Moorillón, Raúl Avila-Sosa

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The usage of power system multi-model forecasting aided state estimation for cyber attack detection by I. A. Lukicheva, A. L. Kulikov

“…A Multi - Model Forecasting-Aided State Estimation algorithm has been developed, which allows detecting cyber attacks and recovering corrupted data. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

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Using social media for environmental insight: a multi-model deep learning framework approach by Minglu Che, Chengyao Wang, Yanyun Nian, Pinqi Rao

“…To address these limitations, this study proposes a multi-model Weibo text-processing framework for environmental issues. …”
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