基于COSMOS/Works的数控机床主轴箱模态分析及优化设计 by 邱海飞, 王增强

“…The finite element model of NC Machine spindle box is set up by COSMOS/Works,and modal analysis of the spindle box is done,then the natural frequencies and the vibration modes are calculated.On that basis,the dynamic characteristic of spindle box is optimized through defining multi structure sizes as design variable.Fundamental frequency of the spindle box is increased obviously after optimizing;as a result,damping property of it is enhanced effectively.A group of structural parameters with fine dynamic characteristic are calculated,which offer significant referents to structure design of spindle box.…”
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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

“…The study’s design involved applying the HELR model to three healthcare datasets and comparing its performance with Support Vector Machines (SVM). …”
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Construction and Application Analysis of an Intelligent Distribution Network Identification System Based on Deep Neural Networks by Yu Ma

“…In addition, the Cross-Validation Grid Search Algorithm (GSA) was used to optimize the hyperparameters to ensure that the model can achieve the optimal performance on different data sets. …”
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Vectorial principles of sensorimotor decoding by Vassiliy Tsytsarev, Anna Volnova, Legier Rojas, Priscila Sanabria, Alla Ignashchenkova, Jescelica Ortiz-Rivera, Janaina Alves, Mikhail Inyushin

“…These findings suggest a unifying vectorial framework for sensory and motor coding, with implications for periprosthetic and brain-machine interface.…”
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Surface Performance of Titanium Alloy Brake Shell Polished by Industrial Robot Based on Digital Twin by Haijun Zhang, Shengwei Chen, Hui Wang, Yan Qin

“…Based on this system, a removal depth model was established, and the polishing parameters to be analyzed were determined by combining the removal depth model. …”
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Advances in UAV Path Planning: A Comprehensive Review of Methods, Challenges, and Future Directions by Wenlong Meng, Xuegang Zhang, Lvzhuoyu Zhou, Hangyu Guo, Xin Hu

“…A fundamental aspect of UAV autonomy lies in route optimization, which determines efficient paths while considering factors like mission goals, safety, and power consumption. …”
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Survey on multi-agent reinforcement learning methods from the perspective of population by XIANG Fengtao, LUO Junren, GU Xueqiang, SU Jiongming, ZHANG Wanpeng

“…Finally, the frontier research directions were prospected from five aspects: benchmark platform development, two-layer optimization architecture, adversarial strategy learning, human-machine collaborative value alignment and adaptive game decision-making loop, providing reference for the research on relevant frontier key issues of multi-agent reinforcement learning in multimodal environments.…”
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Spatiotemporal Analysis of Global In-stream Phosphorus Concentrations from 2012 to 2021 by Razi Sheikholeslami, Mehrnoush Jalali, Sara Vahab

“…The proposed GloPhos database is freely available to support researchers in developing numerical models and future projections, contributing to efficient water quality management and the optimization of fertilizer usage.…”
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Progress and prospect of biomimetic optical materials: A review by Dashuang Wang, Tuo Ping, Zhilan Du, Tingye Liu, Yuxin Zhang

“…Furthermore, this review identifies emerging trends in nanofabrication, machine learning-assisted optimization, and biohybrid material systems. …”
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Sensor-Based Rock Hardness Characterization in a Gold Mine Using Hyperspectral Imaging and Portable X-Ray Fluorescence Technologies by Saleh Ghadernejad, Kamran Esmaeili, Mariano P. Consens

“…Accurate, rapid, and non-invasive hardness characterization can enhance mine-to-mill optimization and energy management. This study investigates sensor-based technologies, hyperspectral imaging, and portable X-ray fluorescence (pXRF) integrated with machine learning (ML) algorithms for characterizing rock hardness in open-pit gold mining contexts. …”
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Additive manufacturing of metal matrix composites by Mohan Sai Kiran Kumar Yadav Nartu, Priyanshi Agrawal

“…A detailed comparison of microstructural evolution and process parameter optimization, including feedstock preparation methods and the role of machine learning and modeling among the different AM processes, is also presented. …”
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Leveraging Spatial and Temporal Data to Predict Heavy Freight Vehicle Traffic Flow on Rural Road Network by Alireza Gholami, Seyedehsan Seyedabrishami

“…Accurately predicting heavy freight vehicle (HFV) traffic flow is essential for optimizing service levels and improving road safety management. …”
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A Cost-Effective Real-Time Human Activity Recognition System Using Supervised Learning Algorithms and Wearable Acceleration Sensors by Nguyen Thi Thu, Phung Cong Phi Khanh, Trong-Minh Hoang, Duc-Tan Tran, Nguyen Ngoc Linh, Nguyen Canh Minh

“…This study aims to enhance HAR by developing a lightweight and efficient machine learning model that balances accuracy, real-time performance, and affordability. …”
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AI-BASED FIELD-ORIENTED CONTROL FOR INDUCTION MOTORS by Elmehdi Benmalek, Marouane Rayyam, Ayoub Gege, Omar Ennasiri, Adil Ezzaidi

“…RL is a machine learning approach that is model-free which can adapt to the variations and disturbances. …”
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Classification of lung cancer severity using gene expression data based on deep learning by Ali Bou Nassif, Nour Ayman Abujabal, Aya Alchikh Omar

“…These issues were mitigated by deeply analyzing the gene dataset and lung cancer stages from a medical perspective, along with extensive research and experiments. As a result, the optimized CNN model using F-test feature selection method, achieved high classification accuracies of approximately 93.94% for LUAD and 88.42% for LUSC.…”
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Contrastive learning method for leak detection in water distribution networks by Rongsheng Liu, Tarek Zayed, Rui Xiao

“…Abstract Detecting and mitigating leaks in water distribution networks are vital for water conservation. Machine-learning-based (ML) acoustic leak detection models were introduced as effective alternatives for leak management. …”
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Theoretical and simulation analysis of a rectangular crack in the piezoelectric material by Yani Zhang, Junlin Li

“…Moreover, response surface methodology is used to analyze the influence of crack length, mechanical load, and electric field on crack propagation, offering an optimal model design scheme.…”
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Intelligent deep learning-based dual-task approach for robust power quality event classification by Lipsa Ray, Pampa Sinha, Siddhanta Pani, Anshuman Nayak, Kaushik Paul, Chitralekha Jena, Md. Minarul Islam, Taha Selim Ustun

“…Simulation evaluation demonstrates that the proposed model outperforms conventional machine learning and dense networks, achieving superior accuracy (99.7%), faster convergence (by 30%), and reduced computational cost (by 25%). …”
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Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study by Junan Xie, Shilin Li, Zhen Song, Lin Shu, Qing Zeng, Guozhi Huang, Yihuan Lin

“…The multidimensional gait features extracted from the data and physical characteristics were used to establish the KOA functional feature database for the plantar pressure measurement system. 40mFPWT and TUGT regression prediction models were trained using a series of mature machine learning algorithms. …”
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Investigating Data Risk Considerations in Emergent Cyber Physical Production Systems by Gerard Ward, Lech Janczewski

“…Emergent IIoT use cases include Cyber Physical Production Systems (CPPS) to support asset optimization through self-organization of modular machines within production systems. …”
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