Cost-effective model of building construction based on GREENSHIP rating assessment using value engineering and lifecycle cost analysis methods by Sutikno Sutikno, Sarwono Hardjomuljadi, Henny Wiyanto

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LLM-Based Topic Modeling for Dark Web Q&A Forums: A Comparative Analysis With Traditional Methods by Luis de-Marcos, Adrian Dominguez-Diaz

“…For instance, topics like “bitcoin wallet” and “hacking tools” illustrate how two-word labels can convey nuanced meanings that single-word topics may overlook. This qualitative analysis underscores the importance of selecting appropriate topic modeling techniques based on the characteristics of the text and the requirements of the analysis, highlighting their potential as valuable tools for analyzing complex and unstructured text data in practical applications for law enforcement and research.…”
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A Comprehensive Analysis Perspective on Path Optimization of Multimodal Electric Transportation Vehicles: Problems, Models, Methods and Future Research Directions by Wenxin Li, Yuhonghao Wang

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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

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Neutronics Analysis on High-Temperature Gas-Cooled Pebble Bed Reactors by Coupling Monte Carlo Method and Discrete Element Method by Kashminder S. Mehta, Braden Goddard, Zeyun Wu

“…Computational approaches are developed to perform high-fidelity neutronics analysis by coupling the superior modelling capacities of the Monte Carlo Method (MCM) and Discrete Element Method (DEM). …”
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Research of the Fault Diagnosis Method of Automatic Transmission by Zhang Xiaodong, Hu Ning, Bian Xianzhang

“…A new method based on logic mathematical fault analysis and support vector machine is provided for fault diagnosis of hydraulic and mechanical fault of automatic transmission（ AT）. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…Therefore, a new correlation index model is initially introduced to quantify the correlation between the two types of images in the proposed method. …”
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Screening method and metabolic analysis of plant anti-aging microorganisms via ammonia-induced senescence in the duckweed Wolffia microscopica by Deguan Tan, Deguan Tan, Lili Fu, Lili Fu, Ying Yu, Ying Yu, Xuepiao Sun, Xuepiao Sun, Jiaming Zhang, Jiaming Zhang

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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

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Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods by Babak Pourakbari, Setareh Mamishi, Sepideh Keshavarz Valian, Shima Mahmoudi, Reihaneh Hosseinpour Sadeghi, Mohammad Reza Abdolsalehi, Mahmoud Khodabandeh, Mohammad Farahmand

“…Various machine learning models were trained and assessed, with a SuperLearner ensemble model implemented to enhance predictive accuracy. …”
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Architecture, Analysis, and Design of Systems Using Extensions of Category Theory by Charles E. Dickerson, Michael K. Wilkinson

Subjects: “…Analysis and design methods…”
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New approaches of genetic analysis for quantitative traits and their applications in breeding by ZHU Jun

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Forecasting Population of Madiun Regency Using ARIMA Method by Yuniar Farida, Mayandah Farmita, Nurissaidah Ulinnuha, Dian Yuliati

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Modeling and Characterization of Multilayer Piezoelectric Stacks via Dynamic Stiffness Method by Wenxiang Ding, Zhaofeng Liang, Wei Zhao, Hongmei Zhong, Dan Chen, Maxime Bavencoffe, Marc Lethiecq

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Modelling and application of a spectral clustering method for shared bicycle trajectories by Wenwen Xing, Youjun Tu, Yuxing Gao, Zongyi He, Junli Li

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Energy Prediction Method for Metro HVAC Systems based on the ARMA Model by Huang Ronggeng, Long Jing, Pan Zhigang, Chen Huanxin, Liu Jiangyan, Liu Jiahui, Li Zhengfei

“…This paper proposes an energy consumption-prediction method for metro heating, ventilation and air-conditioning (HVAC) systems based on an auto-regressive moving average (ARMA) model using a time-series data analysis. …”
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Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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Structural-methodical model of computer program for control of theoretical knowledge of cadets by V. V. Bulgakov

“…Basically, readymade computer programs are used, which are universal and are intended for wide application, without taking into account the specifics of Universities.Research and development of structural and methodological model was carried out with the use of theoretical analysis of the provisions of pedagogy on the problems of control, evaluation and analysis of the level of theoretical knowledge, methods of theory of algorithms and decision-making, methods of synthesis and analysis of information processes. …”
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Evaluation Method and Simulation of Accounting Integrity in View of Grey Correlation Model by Cai Li

“…Combined with the current situation of accounting integrity, this paper uses the grey correlation model to sort the proportion of the factors affecting accounting integrity, analyzes its specific reasons, and finally puts forward the measures to solve the dilemma of accounting integrity according to the analysis results. …”
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Comparative analysis of M/G/K queueing model with artificial neural networks for service system dynamics by Dhadi Pravalika, Pushpalatha Sarla, R. Archana Reddy

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