Preparation and characterization of waste papers based composites and their applications in leather industries by Mahmood M. Barbooti, Rola A. K. Abbas, Hajer A. Ali

“…The shrinkage is another important parameter for the use of the composite in shoe industry. …”
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Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials by Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil, Arnold C. Alguno

“…The XGBoost model was compared against support vector machine (SVM), adaptive boosting (AdaBoost), random forest (RF), and K-nearest neighbor (KNN) models described in the literature. …”
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Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems by Feras Mohammed Al-Matarneh

“…Numerous models, ranging from anomaly recognition techniques to machine learning (ML) methods, are used to examine node behaviour and recognize deviances from usual patterns that may designate malicious intent. …”
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Learning-based 3D human kinematics estimation using behavioral constraints from activity classification by Daekyum Kim, Yichu Jin, Haedo Cho, Truman Jones, Yu Meng Zhou, Ameneh Fadaie, Dmitry Popov, Krithika Swaminathan, Conor J. Walsh

“…Existing approaches use anatomical constraints to reduce drift but require body parameter measurements. Learning-based approaches show promise but often lack accuracy for broad applications (e.g., strength training). …”
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Development of an integrated ESG and climate risk assessment framework for semiconductors industries in Malaysia by Ola Y. Mohamed, Nabila F. Jamaludin

“…This result is attributed to the parameter weightage concluded as the core influencer in the assessment. …”
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A proposed methodology to develop digital twin framework for plasma processing by Alasdair Mitchell, Xinyang Wei, Rongyan Sun, Kazuya Yamamura, Long Ye, Jonathan Corney, Nan Yu

“…The second focuses on a DT method that offer data acquisition and machine learning integration for parameter optimisation at the plasma process-level, presenting a foundation for future real-time developments. …”
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The quality of service assessment of eMBB and mMTC traffic in a clustered 5G ecosystem of a smart factory by Viacheslav Kovtun, Oksana Kovtun, Krzysztof Grochla, Oleh Yasniy

“…The article proposes two new multi-parameter scenarios for allocating the entire channel pool between different types of requests (mMTC, eMBB) for the model of an integrated open 5G cluster. …”
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Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

“…To enhance the efficiency of liquor production and reduce subjective errors caused by manual operations, this study explores the relationship between production process parameters and yield to achieve accurate yield prediction. …”
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Control algorithm for an elastic-viscoplastic model to study processes of shock interaction of bodies by V. L. Lapshin, Е. V. Zenkov

“…In engineering practice, dynamic processes, with the help of which mechanics of interaction of machine components and structural elements are described and studied, are of great importance. …”
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Evaluation on nature-connected environment in building embedded landscape: theory, detection, and case design by Shu Zhong, Jiao Ren

“…The green view index (GVI) in large and open green spaces was found to correlate with perceptions of positive emotions (parameter estimate [PE]: 0.02 ‒ 0.13). Conversely, large areas of green and blue spaces with low GVI on the flat plane were found to evoke negative emotions (PE: -0.13 and -0.04, respectively).DiscussionArtificial intelligence was used for describing cases of design using our findings. …”
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Early Warning for the Construction Safety Risk of Bridge Projects Using a RS-SSA-LSSVM Model by Gang Li, Ruijiang Ran, Jun Fang, Hao Peng, Shengmin Wang

“…The proposed model integrates a rough set (RS), the sparrow search algorithm (SSA), and the least squares support vector machine (LSSVM). In particular, the initial early warning factors of bridge construction safety risk from five factors (men, machines, methods, materials, and environment) were selected, and the RS was used to reduce the attributes of 20 initial early warning factors to obtain the optimized early warning factor set. …”
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Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change by Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga-Pluta, Teerachai Amnuaylojaroen

“…Water temperature is a fundamental parameter influencing a range of biotic and abiotic processes occurring within various components of the hydrosphere. …”
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Parametric Vibration Analysis of a Six-Degree-of-Freedom Electro-Hydraulic Stewart Platform by Xiaoming Yuan, Yue Tang, Weiqi Wang, Lijie Zhang

“…This paper considering the fluid unit equivalent stiffness cyclical fluctuations and leg, on the basis of the relationship between hydraulic stiffness, constructs the electric hydraulic Stewart platform machine vibration dynamics equation, fluid coupling parameters of vibration parameters using the method of the multiscale approximate analytic formula of the main resonance and combination resonance are derived, and the system parameters vibration time-domain response and frequency response under two different poses are discussed. …”
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An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal by Cong Feng, Qi Guo, Qian Liu, Feihong Jian

“…In this paper, the multi-stage dynamic benefit evaluation model was constructed by introducing time-of-use tariffs, periodic capacity pricing mechanism, and ancillary service revenue prediction based on machine learning and the multiple regression method. …”
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Three-Dimensional Surface Evaluation and Shear Bond Strength of Three Pre-treatment E-max Surfaces for Metal and Ceramic Orthodontic Brackets (In Vitro Study) by Huda A. Mohammed, Omar S. Ali

“…The lowest roughness parameter Sa (arithmetical mean height) was in bur, both laser and HFA gave no significant differences. …”
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Design and Analysis of a Sowing Depth Detection and Control Device for a Wheat Row Planter Based on Fuzzy PID and Multi-Sensor Fusion by Yueyue Li, Bing Qi, Encai Bao, Zhong Tang, Yi Lian, Meiyan Sun

“…A bench test apparatus was developed to address the impact of varying terrain undulation on sowing depth in multi-row wheat sowing machines. In addition, a real-time sowing depth control model was proposed and implemented, enabling automatic adjustment of the sowing depth and ensuring uniform seed placement. …”
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A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture by H. Liu, Z. Zeng, X. Yang, Y. Zou, X. Liu

“…Comparative simulations indicate a 50 % reduction in settling time (7.0 <span class="inline-formula">s</span> to 3.5 <span class="inline-formula">s</span>), zero overshoot, and <span class="inline-formula">&lt;</span> 0.03° steady-state tracking error under 2 <span class="inline-formula">Hz</span> sinusoidal excitation. A human–machine interface (HMI) for the shipboard stabilization platform is developed using the Qt Creator framework, integrating real-time trajectory tracking and parameter tuning. …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

“…Through comprehensive feature engineering and examinations of three temporal neural models, this research identifies the best parameter configurations. The key finding is that including static journey background information leads to improvements by 8.8% on average in model performance. …”
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基于Pro/E圆柱凸轮分度装置的3D参数化设计 by 李蕾, 葛正浩, 肖敏, 马志平

“…The cylindrical cam device is the most common device of medium and low speed intermittent transmission devices in automatic machines,semi-automatic machines,automatic lines,and semi-automatic lines.The basic principles and methods of the use of Pro/E in three-dimensional modeling in various parts of the device are discussed,based on describing the working principle,design method,physical forms and structure forms of the cylindrical cam device.The parameter relationships among center distance,the number of indexing rollers,and other sizes are defined by the known condition of center distance and the number of indexing rollers of the cylindrical cam device.A series of procedures and methods of parameter design to achieve the design of cylindrical cam devices are described,based on the secondary development tools PROGRAM.This parameter design ideas and methods not only for cylindrical cam design can also be used with other cam devices.…”
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Haemoglobin types and variant interference with HbA1c and its association with uncontrolled HbA1c in type 2 diabetes mellitus by Joseph Malaba, Paul Kosiyo, Bernard Guyah

“…Haematological parameters were measured using the Celtac G MEK-i machine (Nihon Kohden Europe). …”
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