Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…Sensitivity analysis further indicated all input parameters’ correlation with CO2 adsorption, while SHAP analysis identified pressure and temperature as critical factors. …”
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Lithium-Ion Battery Degradation Based on the CNN-Transformer Model by Yongsheng Shi, Leicheng Wang, Na Liao, Zequan Xu

“…Regarding the instability of single-battery data in the CNN-Transformer model, statistical analysis is conducted to analyze the experimental results. …”
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Local differential privacy-based frequent sequence mining by Teng Wang, Zhi Hu

“…We conduct theoretical analysis on error-bound and extensive experiments on both real-world and synthetic datasets. …”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…The approach is initially validated on synthetic data from tunnel magnetoresistance (TMR) sensors to facilitate method analysis and comparison. …”
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YOLOv8 and point cloud fusion for enhanced road pothole detection and quantification by Junkui Zhong, Deyi Kong, Yuliang Wei, Bin Pan

“…The model processes a single image in 0.23 seconds. Furthermore, the error rates for perimeter, surface area, and depth detection are limited to within $$4\%$$ , $$5\%$$ , and $$4\%$$ , respectively.…”
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Proof of storage with corruption identification and recovery for dynamic group users by Tao JIANG, Hang XU, Liangmin WANG, Jianfeng MA

“…The outsourced storage mode of cloud computing leads to the separation of data ownership and management rights of data owners, which changes the data storage network model and security model.To effectively deal with the software and hardware failures of the cloud server and the potential dishonest service provider and also ensure the availability of the data owners’ data, the design of secure and efficient data availability and recoverability auditing scheme has both theoretical and practical importance in solving the concern of users and ensuring the security of cloud data.However, most of the existing studies were designed for the security and efficiency of data integrity or recoverability schemes, without considering the fast identification and reliable recovery of damaged data under dynamic group users.Thus, to quickly identify and recover damaged data, a publicly verifiable proof of storage scheme was proposed for dynamic group cloud users.The designed scheme enabled a trusted third-party auditor to efficiently identify the damaged files through a challenge-response protocol and allowed the cloud storage server to effectively recover them when the degree of data damage is less than an error correction ability threshold.The scheme combined association calculation and accumulation calculation, which effectively reduced the number of calculations for the identification of damaged data.By combining erasure coding and shared coding technology, the scheme achieved effective recovery of damaged data of dynamic group users.At the same time, the scheme also supported dynamic user revocation, which ensured the integrity audit and reliable recovery of the collective data after user revocation.The network model and threat model of the designed scheme were defined and the security of the scheme under the corresponding security model was proved.Through the prototype implementation of the scheme in the real environment and the modular performance analysis, it is proved that the proposed scheme can effectively identify the damaged data and reliably recover the cloud data when the data is damaged.Besides, compared with other schemes, it is also proved that the proposed scheme has less computational overhead in identifying and recovering damaged data.…”
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Decision tree for severity assessment of neurodegenerative diseases using possibility approach and gait dynamics by Preeti Khera, Ashok Kumar, Rajat Kapila

“…The proposed framework achieved a high coefficient of determination (R2 ≈ 0.90) and low error rates with stratified 10-fold cross-validation. …”
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Unveiling construction accident causation: a scientometric analysis and qualitative review of research trends by Haoyu Zang, Ming Li, Zhiyao Jin, Jingfei Huang

“…In addition, a qualitative synthesis was conducted to review common data sources and examine key issues, including risk factor identification, accident type classification, causality analysis, and the optimization of research strategies. …”
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COMPARATIVE ANALYSIS OF MILLING-BAKERY AND CONFECTIONERY INDUSTRY IN SERBIA BASED ON BENFORD’S LAW by Dragana Petrović, Milan Novović, Milan Šoškić

“…Based on the conducted data analysis and the obtained results, the authors ranked the companies, after which, through a comparative analysis between these two branches, they showed which data in the Cash Flow Report have greater deviations from Benford’s analysis. …”
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Natural Frequency Analysis of Permanent Magnet Eddy Current Couplings Based on the Riccati Transfer Matrix Method by Xu Chengxi, Wang Jian

“…The results show that this method can accurately analyze the natural frequency of permanent magnet eddy current couplings, and the error generated by high-precision simulation model analysis is not more than 8%. …”
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Variogram modelling optimisation using genetic algorithm and machine learning linear regression: application for Sequential Gaussian Simulations mapping by André William Boroh, Alpha Baster Kenfack Fokem, Martin Luther Mfenjou, Firmin Dimitry Hamat, Fritz Mbounja Besseme

“…The objective of this study is to develop an advanced approach to variogram modelling by integrating genetic algorithms (GA) with machine learning-based linear regression, aiming to improve the accuracy and efficiency of geostatistical analysis, particularly in mineral exploration. The study combines GA and machine learning to optimise variogram parameters, including range, sill, and nugget, by minimising the root mean square error (RMSE) and maximising the coefficient of determination (R2). …”
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Intelligent Identification of Structural Damage Based on the Curvature Mode and Wavelet Analysis Theory by Longsheng Bao, Yue Cao, Xiaowei Zhang

“…During the process of monitoring, a large amount of data is generated. The selection of the appropriate methodology for the analysis of these data constitutes a major problem for maintenance personnel. …”
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The accuracy of determining the coordinates of an unmanned aerial vehicle with a navigation complex integrating an electro-optical positioning system by A. A. Sheinikov, А. М. Kovalenko, А. А. Sanko

“…The article proposes the approaches to updating a strapdown inertial navigation system (SINS) based on data of the airborne electro-optical system (EOS) of an unmanned aerial vehicle (UAV). …”
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An Analysis of the Driving Behaviours of Professional Truck Drivers: A Pilot Study in Turkey by Ján Beňuš, Merve Seher Cebeci

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The Effects of Spatial Resolution Variability of Digital Elevation Models on Flood Hazard Analysis by Hasan Özdemir, Abdullah Akbaş

“…The FABDEM data is more advantageous in regional studies than others, whereas the LiDAR data can be used in basin-scaled studies. …”
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Analysis of Learning Obstacles for Junior High School Students in Understanding SPLDV Concepts by Firda Luthfiatika Jannah, Neneng Aminah, Surya Amami Pramuditya, Cita Dwi Rosita, M. Subali Noto

“…The research instruments used were concept understanding tests and interview guidelines. Data analysis in this research includes data reduction, data presentation, and concluding. …”
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Impact Analysis of Energy Policy: Fuel Oil Subsidies and Global Warming Costs by Masria Hernawaty Simanjuntak, Djoni Hartono

“…The analysis employed fuel oil subsidy and global warming cost data, along with relevant economic factors. …”
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Systemic and local associated disorders in children with congenital cataracts-a retrospective analysis by Rashid Baig, Asma Rahman, Hamzah Jehanzeb, Khadijah Abid

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Conceptual images and learning obstacles in exponentiation and logarithms: A hermeneutic phenomenological analysis by Yuvita Andriani Kusumadewi, Riki Andriatna

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Oscillometric blood pressure measurement: modeling and analysis of the area oscillogram and height oscillogram by Vishaal Dhamotharan, Hao-Min Cheng, Shih-Hsien Sung, Chen-Huan Chen, Cederick Landry, Mark Freithaler, Aman Mahajan, Aman Mahajan, Sanjeev G. Shroff, Jin-Oh Hahn, Ramakrishna Mukkamala, Ramakrishna Mukkamala

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