STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…Numerical example 2 illustrates the validity of the proposed method for complex high-dimensional model. Engineering example demonstrates the applicability and effectiveness of the present method for complex engineering structure problems.…”
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Drilling Condition Identification Method for Imbalanced Datasets by Yibing Yu, Huilin Yang, Fengjia Peng, Xi Wang

“…The BiLSTM component captures global contextual information, while the GRU efficiently learns features from complex sequential data. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“… Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed the most critical challenge. …”
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PDCNet: A Polarimetric Data-Enhanced Contrastive Learning Network for PolSAR Land Cover Classification by Bo Ren, Chaoyue Hua, Biao Hou, Jian Lv, Chen Yang, Licheng Jiao, Jocelyn Chanussot

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The Issue of Hydrodynamic Friction in the Context of the Operational Properties of Ring-Shaped Torsional Vibration Dampers by Aleksander Mazurkow, Andrzej Chmielowiec, Wojciech Homik

“…Improving the reliability and durability of internal combustion engines in marine vessels is a complex issue. The vibrations generated in these engines significantly affect their proper operation. …”
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Inappropriate medication prescribing, polypharmacy, potential drug-drug interactions and medication regimen complexity in older adults attending three referral hospitals in Asmara,... by Nuru Abdu, Saleh Idrisnur, Hanae Said, Lude Kifle, Natnael Habte, Semira Ghirmai, Tomas Tewelde, Senai Mihreteab Siele, Eyasu H. Tesfamariam

“…This study aimed to assess inappropriate prescribing practices, polypharmacy, medication regimen complexity, and their determinants in older adults. …”
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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment by Goda Srinivasa Rao, P. Santosh Kumar Patra, V.A. Narayana, Avala Raji Reddy, G.N.V. Vibhav Reddy, D. Eshwar

“…Detecting and predicting such attacks in this complex and dynamic environment requires specialized techniques. …”
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Preparation of Magnetic Molecularly Imprinted Polymers Based on Group Sensing Quenching and Their Adsorption Characteristics on Signaling Molecules by Junqiang SUN, Haiyang YANG, Yao QU, Huarong YU, Fangshu QU, Yuxuan WAN

“…This selectivity is a key advantage of molecularly imprinted polymers, enabling the targeted removal of specific compounds from complex mixtures. …”
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Transforming Healthcare: A Review of Additive Manufacturing Applications in the Healthcare Sector by Alok Bihari Singh

“…The findings underscore AM’s transformative potential in advancing medical care and its significant impact on patient outcomes and surgical efficiency.…”
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Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms by Jinmo Yang, R. Young Chul Kim

“…Our results show that SFDM outperforms selected other models in per-frame floating-point operations, achieving the lowest model complexity. …”
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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…Therefore, feature selection (FS) is particularly important in IDSs. By selecting the most representative features, it can not only improve the detection accuracy but also significantly reduce the computational complexity and attack detection time. …”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…The model complexity arising from hyperparameter configurations was appraised based on the Bayesian information criterion and the Akaike information criterion. …”
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Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making by Qaiyyum Hafizi Hasnan, Zahari Rodzi, Nor Hanimah Kamis, Faisal Al-Sharqi, Ashraf Al-Quran, Mamika Ujianita Romdhini

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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…However, the identification of peptide functions through wet-lab experiments is both time-consuming and costly, necessitating efficient computational prediction methods. The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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Enhancing Indoor Localization Accuracy in Dense IoT-Integrated 5GNR Networks: Introducing SGNCL for Sensor-Guided NLoS Correction Localization by Afsaneh Saeidanezhad, Wasim Ahmad, Muhammad A. Imran, Olaoluwa R. Popoola

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Physicochemical characteristics and statistical analysis of groundwater (Drinking) quality parameters in the rural area of Dewanganj, Nepal by Shiv Narayan Yadav, Suman Kumari Yadav, Medha Yadav, Umesh Prasad Yadav, Summi Rai, Ajaya Bhattarai

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Optimized Design of Distributed Generalized Reed-Solomon Coded Generalized Spatial Modulation by C. L. Zhao, F. F. Yang, H. J. Xu

“…When the GRS codes at the source and relay have large information lengths, the OISS algorithm possesses high complexity. Thus, a low-complexity optimized information symbol selection (LC-OISS) algorithm by incomplete search is put forward. …”
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Otsu thresholding method based on projection of cross section for image segmentation by Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO

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Otsu thresholding method based on projection of cross section for image segmentation by Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO

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An effectiveness assessment ensemble for transmission corridor mechanized construction schemes based on weighted itemset mining and factor criticality analysis by Xin Yang, Junyao Hu, Chenhao Sun, Yafei Huang, Ci Tang, Jie Huang

“…With this motivation, this paper establishes an ensemble to address the issue of effective level diagnoses, and thus the hidden patterns and regularities between scheme features and effective levels can be explored. Based on the complex characteristics of input data, the Pearson correlation coefficient is deployed to handle the multidimensional data from multiple sources, and K-means clustering is then employed to classify scheme indicators into classes. …”
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