Orthogonal Multi‐Swarm Greedy Selection Based Sine Cosine Algorithm for Optimal FACTS Placement in Uncertain Wind Integrated Scenario Based Power Systems by Sunilkumar P. Agrawal, Pradeep Jangir, Arpita, Sundaram B. Pandya, Anil Parmar, Mohammad Khishe, Bhargavi Indrajit Trivedi

“…This study proposes a novel hybrid metaheuristic approach, the Orthogonal Multi‐swarm Greedy Selection Sine Cosine Algorithm (OMGSCA), integrating orthogonal learning, multi‐swarm mechanisms, and greedy selection to enhance solution quality. …”
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An Improved Power Optimizer Architecture for Photovoltaic (PV) String Under Partial Shading Conditions by Ali Faisal Murtaza, Abdulhakeem Alsaleem, Filippo Spertino

“…Thus, it combines the benefits of both architectures—selective converter operation, basic topology, high efficiency, low voltage stress, and low control complexity—while eliminating their drawbacks. …”
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Efficient joint resource allocation using self organized map based Deep Reinforcement Learning for cybertwin enabled 6G networks by Nivetha A, Preetha KS

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Comprehensive analysis of arc methods of 3D printing of metal products: assessment of the efficiency and prospects of using TIG as a heat source by Andrii Horbenko, Constantine Zvorykin

“… In recent years, additive technologies have become increasingly important for the production of parts with complex geometries, enabling the rapid and efficient creation of objects with different shapes and configurations in industrial sectors such as medicine, aerospace and construction. …”
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Trade-off of cognition and semantic communication for UAV-IRS enhanced intelligent networks by Yuwei Zhang, Pengshan Ren

“…This hybrid approach leverages the strengths of both Q-learning and DDPG, enabling efficient handling of the complex, high-dimensional state and action spaces. …”
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Presenting a model for determining the level of technological complexity of research and development activities in knowledge-based companies (case study: companies based in Golesta... by Gholamali shahmoradi, Taghi Torabi, Reza Radfar, Mohammadhasan Cheraghali

“…Then, during three stages of coding (open, central and selective), the influential factors in determining the level of complexity were identified and the research model was formed. …”
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Sponge-like Modified White-Rot Fungi Adsorbent for Rapid Removal of Pb(II) and Cd(II) from Solution: Selective Performance and Mechanistic Insights by Chunxiao Wang, Zhirong Chen, Nana Wang, Jianqiao Wang, Runshen He, Yu Chen, Haerfosai Nuhu, Hang Chen, Zhixuan Lin, Minqi Fan, Mingdong Chang

“…Mechanistic analyses (XRD, FTIR, and XPS) revealed that removal occurs via ion exchange, complexation, and precipitation, forming stable compounds like PbS/CdS and PbCO₃/CdCO₃. …”
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Genotype Selection from Azide-Induced Rice Mutants Using Multitrait Genotype–Ideotype Distance Index (MGIDI): Unveiling Promising Variants for Yield Improvement by S. M. Abdullah Al Mamun, Nasrin Akter Ivy, Mohammad Ashik Iqbal Khan, Sayda Rehana, Mst. Sabiha Sultana, Sanjoy Kumar Adhikary, Md. Monirul Islam

“…The estimated heritability and genetic advance indicated that nearly all traits had a high level of heritability and followed a complex pattern of inheritance. The strong correlations observed between grain yield and flag leaf length, branch panicle−1, grain panicle−1, 100-grain weight, straw yield hill−1, and harvest index indicate that prioritizing these traits during selection could substantially improve other desirable characteristics. …”
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High-Resolution Numerical Simulation and Analysis of Mach Reflection Structures in Detonation Waves in Low-Pressure H2–O2–Ar Mixtures: A Summary of Results Obtained with the Adapti... by Ralf Deiterding

“…A ghost fluid approach is integrated into the method to allow for embedded geometrically complex boundaries. Large-scale parallel simulations of unstable detonation structures of Chapman-Jouguet detonations in low-pressure hydrogen-oxygen-argon mixtures demonstrate the efficiency of the described techniques in practice. …”
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Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder by Shubham Chaudhry, Azzedine Abdedou, Azzeddine Soulaïmani

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Spatially optimized allocation of water and land resources based on multi-dimensional coupling of water quantity, quality, efficiency, carbon, food, and ecology by Yingbin Wang, Haiqing Wang, Jiaxin Sun, Peng Qi, Wenguang Zhang, Guangxin Zhang

“…These enhancements enable the algorithm to explore the solution space more efficiently when addressing complex multi-objective problems to validate the effectiveness and practicality of the COM-WL model, we selected the Daan Irrigation District as the study area. …”
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A review on atomically modified materials by atomic layer deposition for wastewater treatment by Asif Jan, Melike Begum Tanis-Kanbur, Luuk C. Rietveld, Sebastiaan G.J. Heijman

“…ALD enables nanoscale engineering of materials, offering unprecedented control over surface chemistry, pore structure, and functional properties for improved wastewater treatment efficiency. This review critically examines the advancements in ALD-modified membranes and adsorbents for industrial wastewater treatment, highlighting how ALD enhances adsorption kinetics and selectivity in adsorbents, improves hydrophilicity and antifouling behavior in polymeric membranes, and enhances chemical and mechanical stability in ceramic membranes. …”
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ITap: Index Finger Tap Interaction by Gaze and Tabletop Integration by Jeonghyeon Kim, Jemin Lee, Jung-Hoon Ahn, Youngwon Kim

“…The primary purpose of this research is to enhance interaction efficiency, reduce user fatigue, and improve accuracy in gaze-based object selection tasks, particularly in complex and cluttered XR environments. …”
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Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data by ShiJie Zhang, Chuxin Sima, TaiFu Hou

“…The complex q-rung orthopair fuzzy set (C-qROFS) is a prevailing tool for managing ambiguity by combining satisfactory, dissatisfactory, and complex phase data. …”
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BiSeNeXt: a yam leaf and disease segmentation method based on an improved BiSeNetV2 in complex scenes by Bibo Lu, Yanjun Lu, Di Liang, Jie Yang

“…Additionally, the FLOPs and total number of parameters of the proposed method require only 11.81% and 7.81% of DeepLabV3+, respectively.DiscussionTherefore, the proposed method can efficiently and accurately extract yam leaf spots in complex scenes, providing a solid foundation for analyzing yam leaves and diseases.…”
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A reagent-free, fouling-resistant electrochemical multifunctional peptide sensor for highly sensitive and rapid detection of Alzheimer's disease biomarkers by Yajing Ji, Xueqin Li, Xiumin Li, Xiaochun Hu, Wei Cong, Honggang Hu, Siyao Liu, Yan Chen

“…This study presents a novel, efficient, and rapid strategy for detecting Aβ aggregates in human serum without complex pre-processing and provides practical support for the early clinical diagnosis of AD.…”
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An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement by Teng Li, Amin Rezaeipanah, ElSayed M. Tag El Din

“…Hierarchical Clustering (HC) is recognized as an efficient unsupervised approach to unlabeled data analysis. …”
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Energy efficient adaptive clustering with QoS-aware CBRP and grey wolf optimization clustering algorithm for mobile ad-hoc network (MANET) by Minal Patil, Manish Chawhan, Roshan Umate, Abhishek Madankar, Bhumika Neole

“…Moreover, the cluster definition protocol (CBRP) has been developed to improve the efficiency of determination by organizing the structure itself as a group and selecting CHs for internal communication and between effective groups. …”
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Quantum-Enhanced Predictive Degradation Pathway Optimization for PV Storage Systems: A Hybrid Quantum–Classical Approach for Maximizing Longevity and Efficiency by Dawei Wang, Shuang Zeng, Liyong Wang, Baoqun Zhang, Cheng Gong, Zhengguo Piao, Fuming Zheng

“…Unlike conventional optimization methods, which struggle with the complexity and stochastic nature of degradation mechanisms, the proposed approach capitalizes on quantum parallelism to assess multiple degradation scenarios simultaneously, significantly enhancing computational efficiency. …”
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Biohybrid ZnCr-LDH/Spirogyra algae composite for selective adsorption from multi-dye anionic mixtures: Toward enhanced removal of direct yellow by Alfan Wijaya, Nur Ahmad, Laila Hanum, Elda Melwita, Yulizah Hanifah, Aldes Lesbani

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