Optimization of Reverse Logistics Networks for Hazardous Waste Incorporating Health, Safety, and Environmental Management: Insights from Large Cruise Ship Construction by Huilin Li, Jiaqi Yang, Wei Zhang

“…Realistic factors including vehicle load, transport cost, loading time, and risk weight were considered to improve model applicability. Fuzzy time windows quantify worker risk exposure and operational efficiency, adding decision-making complexity. …”
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Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning by Jianping Sun, Hantao Cao, Biao Geng, Zhaoping Tang, Xiaopeng Li

“…Therefore, the proposed model is both reasonable and applicable. The research results are of great significance to effectively deal with railway emergencies.…”
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A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches by Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Sina Shaffiee Haghshenas, Vladimir Simic, Dragan Pamucar, Giuseppe Guido, Vittorio Astarita

“…The review specifically explains unsupervised methods like fuzzy c-means, k-means, and density-based spatial clustering of applications with noise, as well as supervised techniques such as artificial neural networks, k-nearest neighbors, and support vector machines. …”
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Classification and Flooding Potential Assessment of Subbasins of a Tropical River Using Cluster Algorithms by Ajith G. Nair, R. Kiran

“…ABSTRACT Three clustering algorithms, K‐means clustering analysis (KCA), fuzzy cluster analysis (FCA), and density‐based spatial clustering of applications with noise (DBSCAN), are applied to classify the 13 subbasins of the Mahe River, southwest India, based on 13 morphometric parameters of each. …”
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Using a Novel Neutrosophic Set-Based Method to Evaluate the Design Risk of Aerospace Manufacturing Projects in a Neutrosophic Environment by Hsiang-Yu Chung, Kuei-Hu Chang

“…Compared with other research methods, the experiment results revealed that the novel NS-based risk analysis method yields more reliable and accurate rankings in failure mode risk in practical applications.…”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…This paper presents an enhanced meta-review of artificial intelligence (AI) applications in serious games (SGs) for health, focusing on adaptation, personalisation, and real-time data processing to improve rehabilitation outcomes. …”
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Research on Adhesion Utilization Control Strategy for Permanent Magnet Direct Drive of Rail Transit Train by ZENG Kairuo, DENG Hao, LI Ke, LIU Dongwei, HUANG Shenpei, ZHANG Xun

“…Input conditions that can best reflect the current wheel-rail adhesion state are assigned for judgments based on fuzzy rules. Generated adjustment factors are then utilized to adjust in real time detection thresholds for creep velocity, acceleration and deceleration, aligning with the current rail adhesion state. …”
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Hybrid Vehicle Battery Health State Estimation Based on Intelligent Regenerative Braking Control by Chellappan Kavitha, Gupta Gautam, Ravi Sudeep, Chidambaram Kannan, Bragadeshwaran Ashok

“…This approach enhances the accuracy and reliability of SOH estimation in real-time applications and improves the effectiveness of battery fault diagnosis. …”
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Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data by Tao Peng, Yiwen Ruan, Yidong Gu, Jiang Huang, Caiyin Tang, Jing Cai

“…This method employs a coarse-to-fine approach to tackle the challenge of unclear and fuzzy boundaries. Four key innovations are introduced to enhance the segmentation process’s accuracy and efficiency. …”
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The Evolution of Biometric Authentication: A Deep Dive Into Multi-Modal Facial Recognition: A Review Case Study by Mohamed Abdul-Al, George Kumi Kyeremeh, Rami Qahwaji, Nazar T. Ali, Raed A. Abd-Alhameed

“…This survey provides an insightful overview of recent advancements in facial recognition technology, mainly focusing on multi-modal face recognition and its applications in security biometrics and identity verification. …”
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A novel adaptive PID controller with new seesaw algorithms using alternative derivatives by Juan Pablo Manzo Hernández, Julio César Solano Vargas, Juan Manuel Barrera Fernández, Daniel Moreno Orduña, Cristian Hamilton Sánchez Saquín

“…The [Formula: see text] controller is present in at least 90% of industrial applications due to its simplicity and robustness to control linear and non-linear systems. …”
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Indirect tuning of a complementary orientation filter using velocity data and a genetic algorithm by Dariusz Maton, John T. Economou, David Galvão Wall, Irfan Khan, Robert Cooper, David Ward, Simon Trythall

“…This results in increasing safety in applications such as firefighting and battlespace.…”
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Unsupervised SAR Image Change Detection Based on Curvelet Fusion and Local Patch Similarity Information Clustering by Yuhao Huang, Zhihui Xin, Guisheng Liao, Penghui Huang, Guangyu Hou, Rui Zou

“…Change detection for synthetic aperture radar (SAR) images effectively identifies and analyzes changes in the ground surface, demonstrating significant value in applications such as urban planning, natural disaster assessment, and environmental protection. …”
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A Novel Entropy-Based Approach for Thermal Image Segmentation Using Multilevel Thresholding by Thaweesak Trongtirakul, Karen Panetta, Artyom M. Grigoryan, Sos S. Agaian

“…The framework’s versatility suggests promising applications in brain tumor detection, optical character recognition, thermal energy leakage detection, and face recognition.…”
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Advancements in Optimization Techniques for Active Magnetic Bearing Systems: Current Trends and Future Directions by Tasnemul Hasan Nehal, Waleed M. Hamanah, Mohammad Ali Abido

“…This review emphasizes the pivotal role of optimization in unlocking the full potential of AMBs, meeting the ever-growing demands of high-performance industrial applications.…”
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MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers by Huaxu Yu, Jun Ding, Tong Shen, Min Liu, Yuanyue Li, Oliver Fiehn

“…MassCube is available at https://github.com/huaxuyu/masscube for direct use or implementation into larger applications in omics or biomedical research.…”
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Navigating the spectrum of battery health management in electric vehicles: A comprehensive review by Saranathan L, Indragandhi Vairavasundaram, Bragadeshwaran Ashok

“…The existing literature lacks a consolidated comparative analysis of traditional, adaptive, and emerging data-driven approaches to battery health management, particularly in the context of real-world applications. This review presents an in-depth synthesis of conventional methods, model-based techniques, adaptive filtering, and artificial intelligence (AI)-driven strategies including machine learning (ML), fuzzy logic, and cloud-integrated frameworks for SoH, RUL, and ageing prediction. …”
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Mathematical model and evaluation of dynamic stability of industrial robot manipulator: Universal robot by Shabnom Mustary, Mohammod Abul Kashem, Mohammad Asaduzzaman Chowdhury, Md Masud Rana

“…Robot is an indispensable technology within the context of the Industrial 4.0 revolution, providing a wide range of applications in industry. The stability of a robot's manipulator is contingent upon its associated manipulator settings, hence influencing its overall quality. …”
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Research on the Development Trend and Graded Early Warning of Large Deformations in Soft Rock Tunnels: Microseismic and Deformation Monitoring by Qiang Wang, Xuzhi Xie, Munan Sun, Ming Zhao, Yuepeng Sun

“…The accuracy and applicability of the proposed multi-index evaluation method are validated through the analysis of large deformation instances in soft surrounding rock tunnels from field engineering. …”
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Social Media Toxic Content Filtering System using SOIR Model by Nidhi Bhandari, Rachna Navalakhe, G.L Prajapati

“…It provides different opportunities to design practical applications to favor humanity and society. A significant amount of people consumes social media content. …”
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