Machine learning approaches for predicting feed intake in Australian Merino, Corriedale, and Dohne Merino sheep by Fernando Amarilho-Silveira, Ignacio De Barbieri, Elly A. Navajas, Jaime Araujo Cobuci, Gabriel Ciappesoni

“…By leveraging existing animal data, these models can optimize resources and enable feed intake estimation across a larger population without the need for labor-intensive trials. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…Abstract A dual-stage model for classifying Parkinson’s disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. …”
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Seasonal forest fire risk and key drivers in Yunnan Province: a machine learning approach by Heng Zhang, Wenxuan Wang, Qingyu Ban

“…We employed six machine learning models to explore the optimal model and important driving factors for predicting forest fires in different seasons in Yunnan Province, China. …”
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Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning by Danish Javed, Noor Zaman Zaman, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor R. Kebande

“…To this end, we propose an interpretable machine learning (ML) framework, leveraging multiple ML algorithms with hyperparameters optimized through cross-validation, to enhance the detection process. …”
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A Two-Stage Bin Packing Algorithm for Minimizing Machines and Operators in Cyclic Production Systems by Yossi Hadad, Baruch Keren

“…The production schedule on each machine is represented as a circle (donut). By using lower bounds, it is possible to assess whether the number of machines required by our model is optimal; if not, the optimality gap can be quantified. …”
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Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms by Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu

“…The model explored multiple waveform parameters to optimize mean ICP estimation. …”
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Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults by Banma Huang, Haibo Chen, Chenglong Duan, Wenhu Li

“…Finally, the actual blasting effect of tunnel construction is tested and the optimization algorithm model of tunnel fault drilling and blasting parameters is established. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

“…Abstract Importance Identifying and managing high-risk populations for stroke in a targeted manner is a key area of preventive healthcare. Objective To assess machine learning (ML) models and causal inference of time series analysis for predicting stroke clinically meaningful model. …”
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A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance by Na Xiao, Yonghui Li, Peiyan Sun, Peihua Zhu, Hongyan Wang, Yin Wu, Mingyu Bai, Ansheng Li, Wuyi Ming

“…Using a dual-perspective analysis approach, it highlights the unique advantages of machine learning in data processing, predictive modeling, and optimization. …”
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Machine learning-based predictive analysis of energy efficiency factors necessary for the HIFU treatment of adenomyosis by Ziyan Liu, Ziyi Liu, Yuan Wang, Xiyao Wan, Xiaohua Huang

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AI in Endoscopic Gastrointestinal Diagnosis: A Systematic Review of Deep Learning and Machine Learning Techniques by Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias

“…It provides a detailed analysis of Machine learning (ML) techniques like preprocessing, segmentation, feature extraction, and classification. …”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

“…Throughout the power plant's operational life, the optimal model was also used to calculate the annual energy production. …”
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Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment by Sangwook Kim, Min-Ah Kim, Bitgoeul Kim, Jisu Lee, Se-Kyung Jung, Jonghong Kim, Ho-Young Chung, Chung-Young Lee, Sungmoon Jeong

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Structure Analysis and Optimization of Welding Fume , Water Bath Cleaning Device by ZHAO Xin-tong, MA Ming-xiao

“…The handling tilting condition and moving road impact are analyzed by using ADAMS and ANSYS The static analysis shows that the material properties of selected profiles are not fully utilized, the transient dynamic analysis showed that in the purifying machine by the road surface impact load truckle bracket and the maximum stress, the overall structure of the least affected by So, according to the results of the analysis in the optimization of the structure of static analysis, the optimization results show that the selected 2020 profiles can meet the requirements of structural strength, and the optimized structure modal analysis, provide the basis for the selection of fan get resonance frequency of each order…”
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Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines by Daniel Yesid Uribe-Tarazona, Carlos Mauricio Ruiz-Diaz, Octavio Andrés González-Estrada

“…This study develops a robust machine learning model based on artificial neural networks to classify six flow patterns in oil-water two-phase flow within horizontal pipelines, a key aspect for ensuring operational efficiency, integrity, and cost-effective design in the oil and gas industry. …”
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Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…The error rates can be reduced and the applicability of the model increased, both of which will increase the model’s dependability. …”
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Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach by Uğur Ercan, Ilker Sonmez, Aylin Kabaş, Onder Kabas, Buşra Calık Zyambo, Muharrem Gölükcü, Gigel Paraschiv

“…The study highlights the potential of these machine learning models in optimizing the rootstock effect and managing melon cultivation to improve fruit quality.…”
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Machine learning-driven ultrasound radiomics for assessing axillary lymph node burden in breast cancer by Si-Rui Wang, Feng Tian, Tong Zhu, Chun-Li Cao, Jin-Li Wang, Wen-Xiao Li, Jun Li, Ji-Xue Hou

“…A nomogram provided a practical risk assessment tool for clinicians.ConclusionThe combined clinical-radiomics model showed excellent predictive ability and may aid in optimizing management and treatment decisions for breast cancer patients.…”
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A state-of-the-art review of soft computing-based monitoring and control in the machining of hard alloys by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak, Abhijit Bhowmik

“…These approaches are implemented to optimize responses, enhance machining efficiency, improve surface integrity, and extend machine life cycles. …”
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Human limits in machine learning: prediction of potato yield and disease using soil microbiome data by Rosa Aghdam, Xudong Tang, Shan Shan, Richard Lankau, Claudia Solís-Lemus

“…Lastly, we provide domain scientists via a full model selection decision tree to identify the human choices that optimize model prediction power. …”
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