A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation by Pubing Yu, Tao Ji, Xiuguang Wu, Yifan Chen, Guilin Liu

“…In particular, the simulation of the seawater backflow event in Erjiegou demonstrated the method’s ability to capture both the occurrence time and extent of seawater backflow, confirming its efficiency and reliability in complex hydrodynamic processes. …”
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Green Hydrogen and the Energy Transition: Hopes, Challenges, and Realistic Opportunities by Alessandro Franco

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YS3AM: Adaptive 3D Reconstruction and Harvesting Target Detection for Clustered Green Asparagus by Si Mu, Jian Liu, Ping Zhang, Jin Yuan, Xuemei Liu

“…Extracting precise stem details in complex spatial arrangements is a challenge. This paper explored the YS3AM (Yolo-SAM-3D-Adaptive-Modeling) method for detecting green asparagus and performing 3D adaptive-section modeling using a depth camera, which could benefit harvesting path planning for selective harvesting robots. …”
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NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection by Ye Li, Li Yang, Meifang Yang, Fei Yan, Tonghua Liu, Chensi Guo, Rufeng Chen

“…Furthermore, NavBLIP employs a multimodal control strategy that dynamically selects context-specific features to optimize real-time performance, ensuring efficiency in high-stakes operations.Results and discussionExtensive experiments on benchmark datasets such as RefCOCO, CC12M, and Openlmages reveal that NavBLIP outperforms existing state-of-the-art models in terms of accuracy, recall, and computational efficiency. …”
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Multi-Channel Underwater Acoustic Signal Analysis Using Improved Multivariate Multiscale Sample Entropy by Jing Zhou, Yaan Li, Mingzhou Wang

“…This paper explores the optimal parameter selection range for the IMMSE algorithm and compares its sensitivity to noise and computational efficiency with traditional multivariate entropy algorithms. …”
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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

“…The system uses several light deep networks (EfficientNetB0, MobileNet, and ResNet-18), which feature fewer layers and parameters, unlike traditional systems that depend on a single, parameter-complex deep network. …”
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Advances in Catalyst Design for β-Lactone Formation via Ring-Expansion Carbonylation by Ali Hasnain, Vinothkumar Ganesan, Sungho Yoon

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Electrochemical dissolution behavior of IC21 nickel-based single crystal alloy under electrochemical machining conditions by LI Shun, LIU Weidong, ZHAO Yonghua, YUE Xiaoming

“…However， turbine guide vanes have complex structures， such as deep holes and deep and narrow slots， which are difficult to be processed efficiently by traditional machining techniques. …”
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Hydrodynamic performance of a novel suturelessprosthetic aortic valve by K. Yu. Klyshnikov, E. A. Ovcharenko, Yu. A. Kudryavtseva, L. S. Barbarash

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Identification of potential dual α-amylase and α-glucosidase inhibitory peptides from Humulus scandens through multi-step virtual screening, molecular docking, ligand efficiency an... by De Xin Dang, Shi Qi Xu, Desheng Li, Huan Wang, Xinhua Xia, Shaoyong Xu

“…Molecular dynamics simulations further supported the stability of YPW-enzyme complexes, with root mean square deviation and root mean square fluctuation values lower than those of acarbose-bound complexes. …”
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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…The MARL framework enables decentralized decision-making among multiple agents, offering superior adaptability to complex and rapidly evolving channel conditions. Comparative analyses with established methods, including Multi-Armed Bandit (MAB), Random Selection, Deep Q-Network (DQN), and Hierarchical Reinforcement Learning (HRL), reveal substantial improvements in system performance. …”
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Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 2; peer review: 3 approved, 1 approved with reservations] by Srinivasarao Thota, Rakshitha T, Thulasi Bikku

“…Conclusion This study presents a hybrid approach to Matrix Chain Multiplication by integrating Strassen’s algorithm, reducing execution time and memory usage. By selectively applying Strassen’s method for large matrices, the proposed technique improves efficiency while preserving accuracy. …”
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Unveiling Electrochemical Frontiers: Enhanced Hydrazine Sensing with Na₃[Fe(CN)₅(PZT)] Modified Electrodes by Kalil Cristhian Figueiredo Toledo, Juliano Alves Bonacin

“…Unlike conventional Prussian blue analogues, this system exhibits enhanced electrocatalytic properties due to its unique ligand framework, which contributes to increased charge transfer efficiency and stability. The complex was synthesized via a controlled ligand substitution reaction, followed by UV-Vis and IR spectroscopy confirmation of its successful formation. …”
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Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…However, this proliferation introduces complex challenges in efficiently managing limited resources—such as bandwidth, energy, and processing capacity, especially in dynamic and heterogeneous IoT networks. …”
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Numerical Methods of Solving Cauchy Problems with Contrast Structures by A. A. Belov, N. N. Kalitkin

“…This argument provides high reliability of the calculation and sufficiently decreases the complexity of computations for low-order systems. In order to increase the efficiency, we propose an automatic step selection algorithm based on curvature of the integral curve. …”
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Smart 3D-printed facades: a review of innovations, materials, and sustainable performance by Dan-Radu Baraboi, Luminița Maria Scutaru, George Dragomir, Alin Ionuț Brezeanu, Răzvan Calotă, Mihaela Pavel, Gabriel Năstase

“…The selection of sustainable and high-performance materials is crucial for optimizing energy efficiency, durability, and environmental impact. …”
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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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TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…The important feature of implementing IRT models logistic functions is the necessity of preliminary selection of test images. Test x-ray images have to be selected in the ascending order of their complexity taking into consideration the influence of various factors.The suggested model may be applied both in the field of improving of aviation security screeners’ training methods to provide screening procedures, and while solving problems of increasing the efficiency of the screening system functioning.…”
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Sustainable Phosphate Remediation via Hierarchical Mg-Fe Layered Double Hydroxides on Magnetic Biochar from Agricultural Waste by Xiuling Li, Lei Xin, Yuhan Peng, Shihao Zhang, Delong Guan, Jing Song

“…Crucially, the material demonstrates exceptional selectivity over competing Cl⁻ and NO₃⁻ ions while maintaining 87.83% efficiency after three regeneration cycles via alkaline treatment. …”
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