Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

“…Additionally, we examine the theoretical foundations of ensemble methods, including bias–variance trade-offs, margin theory, and optimization-based frameworks, while analyzing computational trade-offs related to training complexity, inference efficiency, and storage requirements. …”
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Inversion of Biological Strategies in Engineering Technology: A Case Study of the Underwater Soft Robot by Siqing Chen, He Xu, Xueyu Zhang, Tian Jiang, Zhen Ma

“…Despite its promise, the inherent complexity of biological systems and interdisciplinary knowledge gaps hinder the effective translation of biological principles into practical engineering solutions. …”
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Integrating Blockchains with the IoT: A Review of Architectures and Marine Use Cases by Andreas Polyvios Delladetsimas, Stamatis Papangelou, Elias Iosif, George Giaglis

“…Future research will need to prioritize scalability, energy efficiency, and interoperability for effective BIoT deployment.…”
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The Application of the CIPP Evaluation Model in Educational Programs in Indonesia by M. Zainuddin Alanshori, Ahmad Maulidi, Salman Zahidi, Kusaeri Kusaeri, Suparto Suparto

“…These strategies aim to enhance the relevance, efficiency, and impact of the CIPP model in education evaluation practices. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…  (2) AI has become increasingly important in various fields due to its potential to automate complex processes, enhance efficiency, and drive innovation. …”
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Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

“…The increasing complexity of academic programs and student needs necessitates personalized, data-driven academic advising. …”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…The integration of renewable energy systems into modern buildings is essential for enhancing energy efficiency, reducing carbon footprints, and advancing intelligent energy management. …”
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Permanent Magnets in Sustainable Energy: Comparative Life Cycle Analysis by Svetlana Orlova, Anton Rassõlkin

“…This paper highlights the importance of sustainable magnetic materials, emphasizing the need for interdisciplinary research to balance technological efficiency and environmental impact, especially as rare-earth magnet demand rises with the transition to renewable energy sources.…”
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Fault Diagnosis of Power Equipment Based on Improved SVM Algorithm by Youle Song, Yuting Duan, Tong Rao

“…However, fault diagnosis of power equipment faces challenges such as high dimensionality, complexity, and nonlinearity. Therefore, this study proposes an improved support vector machine model, combined with grey wolf optimization algorithm, aimed at improving the accuracy and efficiency of power equipment fault diagnosis. …”
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Rapid Detection of Trace Toxicants in Blood Using Thermal Desorption Coupled to Continuous Atmospheric Pressure Interfaced Ion Trap Mass Spectrometry by Hui-wen RUAN, Gui-yun SONG, Zhi-gang FAN, Suo-suo YANG, Jian KANG, Lei HUA, Wei-guo WANG

“…Conventional laboratory-based techniques, such as gas chromatography-mass spectrometry (GC-MS), have the advantages of high sensitivity and high selectivity, but often require complex sample preparation, specialized operators, and prolonged turnaround times, rendering them unsuitable for rapid on-site detection. …”
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Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…[Objective] With the advancement of rainwater and sewage diversion projects in cities along the river, trenchless pipe jacking technology has been widely adopted due to its efficiency and environmental advantages. However, pipe jacking in the river-crossing sections faces challenges posed by complex hydrogeological conditions, which can cause riverbed surface displacement and even lead to engineering accidents such as water inrush or blowout. …”
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A hybrid optimization algorithm based on cascaded (1 + PI)-PI-PID controller for load frequency control in interconnected power systems by Md. Shahid Iqbal, Md. Faiyaj Ahmed Limon, Md. Monirul Kabir, Md. Zakir Hossain, Md. Fahad Jubayer, Md. Janibul Alam Soeb

“…In conclusion, the hybrid IABC-PSO algorithm-based cascaded (1 + PI)-PI-PID controller offers a robust and efficient solution for LFC in interconnected power systems. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Special attention is given to the advantages of machine learning, including improved decision-making efficiency, process automation, and handling large volumes of data. …”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

“…We demonstrate that the design of efficient neural network architectures is essential for soil moisture inversion, and provides valuable insights for deep learning applications in hydrological parameter estimation and other challenges in complex environmental contexts.…”
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Trace level detection of Pb2+ ion using organic ligand as fluorescent-on probes in aqueous media by Maria Sadia, Jehangir Khan, Rizwan Khan, Syed Wadood Ali Shah, Adil Zada, Muhammad Zahoor, Riaz Ullah, Essam A. Ali

“…The sensor exhibited high efficiency and selectivity in detecting Pb2+ ions, even in the presence of potential interfering ions such as Mn2+, Cu2+, Co2+, Cr3+, Ni2+, Ce3+, Hg2+, and Cd2+ in aqueous solutions. …”
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Recent Advances and Challenges in the Production of Hydroxylated Natural Products Using Microorganisms by Chang Sun, Rumei Zeng, Tianpeng Chen, Yibing Yang, Yi Song, Qiang Li, Jie Cheng, Bingliang Liu

“…Through metabolic engineering, enzyme engineering, genetic engineering, and synthetic biology combined with artificial intelligence-assisted technologies, a series of engineered strains have been successfully constructed for the efficient production of hydroxylated NPs and their derivatives, achieving efficient synthesis of hydroxylated NPs. …”
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Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation by Srishti Gaur, Guler Aslan-Sungur (Rojda), Andy VanLoocke, Darren T. Drewry

“…Data-driven models have the potential to address these issues by offering flexible predictor selection and more efficient utilization of the information in predictor sets. …”
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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Finally, the representative test case is selected to verify the effectiveness of the proposed method, which indicates that the proposed method can improve the efficiency of DNP and promote the digital transformation of DNP.…”
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New Trends in the Methodologies of Determination of Benzodiazepine Residues in Biological Samples by Israel S. Ibarra, Isaí Vázquez-Garrido, Gabriela Islas, Juan F. Flores-Aguilar

“…The availability of efficient analytical methods is crucial for the determination of these drugs in a complex matrix such as biological samples in clinical settings. …”
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Complications and outcomes of pregnancy in patients with antiphospholipid antibodies during various treatment methods by Yu. S. Bagdasarova, M. S. Zainulina, M. G. Nikolaeva

“…In the group of patients receiving complex therapy consisting of LMWHs prophylactic doses, low ASA doses and IVIG courses, the risks of developing placenta-associated complications and iron deficiency were reduced compared to other groups indicating about a higher efficiency of this therapy regimen. …”
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