EVALUATION OF PRODUCT QUALITY: INDICATORS AND METHODS by Svitlana Gutkevych, Yurii Safonov, Oleh Holovko

“…The article evaluates the effectiveness and efficiency of product quality management based on market, financial, social, and other factors. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This underscores the need for an adaptive compression method that integrates into the training process, dynamically adjusting model complexity based on data and task requirements. To address this, we propose an efficient training method for CNN compression via dynamic parameter rank pruning. …”
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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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Experimental Evaluation and Thermodynamic Analysis of Magnetic Fe₃O₄@La-Zr-MOFs for Highly Efficient Fluoride and Phosphate Removal by Ziyi Zhang, Xinyun Chen, Yongyi Yu, Wenbin Pan, Ruilai Liu, Jiangyan Song, Jiapeng Hu

“…The magnetic Fe₃O₄@La-Zr-MOFs exhibited a magnetic recovery efficiency of 93%, and they could maintain outstanding adsorption performance at a broad range of pH values and superior selectivity for phosphate and fluoride ions. …”
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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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Transforming Healthcare: A Review of Additive Manufacturing Applications in the Healthcare Sector by Alok Bihari Singh

“…This review systematically examines various AM technologies, including stereolithography, selective laser sintering, and fused deposition modeling. …”
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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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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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Lean Service Waste Classification and Methodological Application in a Case Study by Giuseppe Converso, Guido Guizzi, Emma Salatiello, Silvestro Vespoli

“…This study explores the application of Lean principles in the service sector, addressing the complexities of translating manufacturing-focused methodologies to intangible service activities. …”
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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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Optimising roll forming simulation in Abaqus: A computational study by Friedrich Ratschiller, Konstantin Prabitz, Martin Stockinger

“…The proposed approach combines a tailored conformal mesh partitioning scheme, material model refinement based on experimental tensile data, and element type selection to enhance simulation efficiency. Unlike previous studies, this work integrates experimental validation using force measurements and geometry scanning from an industrial roll-forming process, confirming the accuracy of the numerical model. …”
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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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Mixture of Expert Large Language Model for Legal Case Element Recognition by YIN Hua, WU Zihao, LIU Tingting, ZHANG Jiajia, GAO Ziqian

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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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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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A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC- IM driven EV by Anjan Kumar Sahoo

“…However, these methods have convergence issues at optimal values, require large memory spaces, have higher computational complexity, and are difficult to implement. In the recent literature, efforts have been made to improve either the efficiency or the ripple, whereas in this paper, a multi-objective dynamic reference flux selection algorithm based on teamwork optimization is used to improve the efficiency and ripples simultaneously for a wide range of operating scenarios. …”
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Therapeutic potential of a drug based on avocado and soy unsaponifiable compounds in the treatment of osteoarthritis: data from Russian and international studies (descriptive revie... by A. E. Karateev, A. M. Lila

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