Comparison of ECG Between Gameplay and Seated Rest: Machine Learning-Based Classification by Emi Yuda, Hiroyuki Edamatsu, Yutaka Yoshida, Takahiro Ueno

“…Among all models, OCS with k = 3 achieved the highest classification accuracy for both 5 min and 10 min data. …”
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Machine Learning in Sensory Analysis of Mead—A Case Study: Ensembles of Classifiers by Krzysztof Przybył, Daria Cicha-Wojciechowicz, Natalia Drabińska, Małgorzata Anna Majcher

“…The results show the potential of combining an exploratory approach (cluster map with the k-means method) with machine learning. It is also important to focus on selecting and optimizing classification models used in practice because, as the results so far indicate, choosing the right algorithm greatly affects the success of mead identification.…”
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Crop yield prediction using machine learning: An extensive and systematic literature review by Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, Fahima Lokman Niha, H.T. Zubair

“…In recent years, agriculture has gained much attention regarding forecasting and prediction with the advancement of artificial intelligence techniques. Advancements in Machine Learning (ML) have significantly improved agricultural activities. …”
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

“…Cox proportional hazard models were used to compare the risk of intubation and 90-day mortality across the identified clusters. …”
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A Technique for Monitoring Mechanically Ventilated Patient Lung Conditions by Pieter Marx, Henri Marais

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Phthalate Metabolites Were Related to the Risk of High-Frequency Hearing Loss: A Cross-Sectional Study of National Health and Nutrition Examination Survey by You LM, Zhang DC, Lin CS, Lan Q

“…In the model, gender, diabetes, and MBZP were the top predictors of HFHL.Conclusion: The study identified a significant association between MBZP exposure and HFHL, highlighting the need to reduce phthalate exposure.Keywords: hearing loss, phthalate metabolites, monobenzyl phthalate, machine learning models, cross-sectional…”
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A Comprehensive Review of Crop Chlorophyll Mapping Using Remote Sensing Approaches: Achievements, Limitations, and Future Perspectives by Xuan Li, Bingxue Zhu, Sijia Li, Lushi Liu, Kaishan Song, Jiping Liu

“…Hybrid models integrating machine learning and radiative transfer show strong potential to balance accuracy and generalizability. …”
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Estimation of Cation Exchange Capacity for Low-Activity Clay Soil Fractions Using Experimental Data from South China by Jun Zhu, Zhong-Xiu Sun

“…Samples from the B horizon were used, and eight models and PTFs (four machine learning methods, multiple linear regression (MLR) and three PTFs from publication) were evaluated for their predictive performance. …”
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Model Selection Methods for Model-Bridge Simulation Calibration by Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki

“…In contrast, the recently proposed model-bridge framework significantly speeds up this process by machine learning on a set of previous observations. …”
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Prediction of Temperature Distribution on an Aircraft Hot-Air Anti-Icing Surface by ROM and Neural Networks by Ziying Chu, Ji Geng, Qian Yang, Xian Yi, Wei Dong

“…To address the inefficiencies and time-consuming nature of traditional hot-air anti-icing system designs, reduced-order models (ROMs) and machine learning techniques are introduced to predict anti-icing surface temperature distributions. …”
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Hybrid EXGBStackQoE Classifier and Stackelberg Game-Theoretic Approaches for Enhanced QoE in Video Services Over 5G Wireless Networks by K. B. Ajeyprasaath, Vetrivelan Pandu

“…By optimizing data distribution between MBS and Heterogeneous Networks (HetNets), the SbSG model enhances both network throughput and service quality. …”
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Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

“…This optimization enhances generalization and reduces overfitting, making the model a promising tool for advancing glaucoma diagnosis. …”
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Alpine Meadow Fractional Vegetation Cover Estimation Using UAV-Aided Sentinel-2 Imagery by Kai Du, Yi Shao, Naixin Yao, Hongyan Yu, Shaozhong Ma, Xufeng Mao, Litao Wang, Jianjun Wang

“…The performance of these estimates was evaluated against reference FVC values derived from centimeter-level UAV data. Subsequently, four machine learning models were employed for an accurate FVC inversion, using the estimated FVC values and UAV-derived reference FVC as inputs, following feature importance ranking and model parameter optimization. …”
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Impact of national e-commerce demonstration city pilot policy on urban carbon emission efficiency: From the perspective of soft and hard environments by YUE Li, WANG Xinran

“…[Methods] Based on prior research, this study employed multiple-period difference-in-differences and double machine learning models to rigorously identify the causal relationship between the NEDC pilot policy and urban CEE, using panel data of 282 prefecture-level administrative units in China from 2006 to 2022. …”
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Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy by Yongli Tang, Zhenlun Gao, Zhongqi Cai, Jinxia Yu, Panke Qin

“…This article proposes the Improved Grey Wolf Optimizer with Multi-headed Self-attention and LSTM (IGML) model, which integrates a multi-head self-attention mechanism to enhance feature interaction and introduces an improved grey wolf optimizer (IGWO) with four strategic enhancements for automated hyperparameter tuning. …”
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Integrating an artificial neural network with genetic, particle swarm optimization algorithms, and fuzzy rule to optimize the surface roughness in dry turning AISI 1045 steel by Abdulmajeed Dabwan, Mohammed K Almatani, Mohammed Alqahtani, Husam Kaid, Khaled N Alqahtani, Mustafa M Nasr, Adham E Ragab

“…This research aims to propose optimization methods including a hybrid artificial neural network (ANN) with genetic algorithms (GA) particle swarm optimization (PSO), and Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict and optimize surface roughness during dry machining of AISI 1045 steel. …”
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Dynamic Characteristics Analysis and Optimization Design of Two-Stage Helix Planetary Reducer for Robots by Wenzhao Lin, Dongdong Chang, Hao Li, Junhua Chen, Fangping Huang

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Design of Rotors in Centrifugal Pumps Using the Topology Optimization Method and Parallel Computing in the Cloud by Xavier Andrés Arcentales, Danilo Andrés Arcentales, Wilfredo Montealegre

“…This work aims to develop a parallelized computational algorithm in MATLAB version R2020a to design the rotor of a radial flow in a centrifugal pump using the finite-element method (FEM), topology optimization method (TOM), and parallel cloud computing (bare-metal vs. virtual machine). …”
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Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm by Shengmao Zhou, Dehai Zhang

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Optimization of Shear-Thickening Polishing Parameters for Optical Glass Based on Grey Relational Analysis by Yunxiao Han, Yangsi Yang, Binghai Lyu, Wei Hang, Xu Wang, Julong Yuan

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