A review on label cleaning techniques for learning with noisy labels by Jongmin Shin, Jonghyeon Won, Hyun-Suk Lee, Jang-Won Lee

“…We categorize the algorithms in granular ways, and review the algorithms, such as sample selection, label correction, and select-and-correct algorithms, based on the categorization. …”
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Application of Analytic Hierarchy Process and Structural Equation Modeling for Supporting the Decision-Making of Shuttering Preference in Construction Projects by Vu Hong Son Pham, Thuy Dau, Le Tran

“…Certainly, identifying the most important criteria for selecting formwork (shuttering) is a valuable endeavor for supporting contractors in making informed decisions. …”
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Advancing Sparkling Wine in the 21st Century: From Traditional Methods to Modern Innovations and Market Trends by Camelia Elena Luchian, Dragoș Grosaru, Elena Cristina Scutarașu, Lucia Cintia Colibaba, Andrei Scutarașu, Valeriu V. Cotea

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Integrated order acceptance and inventory policy optimization in a multi-period, multi-product hybrid production system by Bilal Ervural, Ali Özaydın

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Audit committee chairman and auditor choice: an analysis of first-tier, second-tier, and third-tier accounting firms by Ni Wayan Rustiarini, Anik Yuesti, Ni Made Sunarsih, I Made Sudiartana

“…The audit committee (AC) plays a crucial role in corporate governance, particularly in financial reporting and the selection of independent auditors. Despite this, the literature on the role of the AC chair is sparse. …”
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Explainable Spatio-Temporal Inference Network for Car-Sharing Demand Prediction by Nihad Brahimi, Huaping Zhang, Zahid Razzaq

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Developmental perturbation in human embryos: Clinical and biological significance learned from time‐lapse images by Kenji Ezoe, Tsubasa Takahashi, Tetsuya Miki, Keiichi Kato

“…Although these observed phenomena play a role in optimal embryo selection/deselection, the clinical advantages of introducing TLT remain unclear. …”
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A Comparative Study of Loan Approval Prediction Using Machine Learning Methods by Vahid Sinap

“…In this context, the main objective of this research is to develop models for loan approval prediction using machine learning algorithms such as Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree, and Random Forest and to compare their performances. In addition, determining the effect of K-Best and Recursive Feature Elimination feature selection methods on model performances is another important objective of the research. …”
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Hybrid Framework To Exclude Similar and Faulty Test Cases In Regression Testing by Muhammad Asim Siddique, Wan M.N. Wan-Kadir, Johanna Ahmad, Noraini Ibrahim

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The Role of Minor Mediterranean Fruit Trees in Sustainable Residential Landscaping: A Longitudinal Perspective by Mümüne Selen Abbasoğlu, İbrahim Kahramanoğlu

“…Principal component analysis (PCA) highlighted that apricot, loquat, and peach contribute most to garden variability, while olives remain stable across all timeframes. Additionally, homeownership duration strongly influences plant selection, with long-term homeowners maintaining diverse and traditional fruit tree compositions. …”
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Outage Probability Analysis of FSO Links Over Foggy Channel by Maged Abdullah Esmail, Habib Fathallah, Mohamed-Slim Alouini

“…Outdoor free-space optic (FSO) communication systems are sensitive to atmospheric impairments, such as turbulence and fog, in addition to being subject to pointing errors. Fog is particularly severe because it induces an attenuation that may vary from few decibels up to few hundreds of decibels per kilometer. …”
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Q-LME: Q-learning-based local mutual exclusion algorithm for flying ad hoc networks by Sindhuja S, Mary Anita Rajam V

“…Additionally, Q-LME improves efficiency and fault tolerance in dynamic FANET environments.…”
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Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys by Debsundar Dey, Suchandan Das, Anik Pal, Santanu Dey, Chandan Kumar Raul, Pritam Mandal, Arghya Chatterjee, Soumya Chatterjee, Manojit Ghosh

“…The important features were selected using the Pearson correlation coefficient matrix, followed by using of five distinct boosting algorithms to predict phases and crystal structures. …”
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HTC-HAD: A Hybrid Transformer-CNN Approach for Hyperspectral Anomaly Detection by Minghua Zhao, Wen Zheng, Jing Hu

“…Meanwhile, to reduce model complexity and redundancy among neighboring bands, we incorporate a simplified and effective band selection strategy as preprocessing. In addition, to prevent anomalies from being reconstructed during background estimation, we employ an adaptive weight loss function to suppress them. …”
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CS-FL: Cross-Zone Secure Federated Learning with Blockchain and a Credibility Mechanism by Chongzhen Zhang, Hongye Sun, Zhaoyu Shen, Dongyu Wang

“…Additionally, the credibility incentive mechanism penalizes nodes that bypass probe mechanism and engage in malicious behaviors, effectively mitigating the impact of deceptive attacks. …”
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Regression Testing in Agile—A Systematic Mapping Study by Suddhasvatta Das, Kevin Gary

“…<b>Results</b>: The findings strongly emphasize test prioritization and selection, reflecting the need for optimized fault detection and execution efficiency in agile workflows. …”
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TOD effects on travel behavior: A synthesis of evidence from cross-sectional and longitudinal studies by Bin Chi, Jinwoo Lee

“…Our analysis sheds light on the importance of carefully selecting an appropriate method for a given research question to maximize the accuracy and relevance of the findings. …”
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Detection of breast cancer using machine learning and explainable artificial intelligence by Tharunya Arravalli, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, D. Cenitta, Rajagopala Chadaga, K. S. Swathi

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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…These mechanisms work synergistically: the phased update balances global and local search, while the reproduction and boundary handling strategies jointly maintain solution diversity. The addition of oppositional learning further improves the robustness of the search process. …”
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Human-Centered Sensor Technologies for Soft Robotic Grippers: A Comprehensive Review by Md. Tasnim Rana, Md. Shariful Islam, Azizur Rahman

“…But categorical classification and the selection process are not very systematic. This review paper follows the PRISMA methodology to summarize the previous works on bio-robotic gripper sensors and their selection process. …”
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