Numerical and Experimental Analysis of Base Cavity and Windshield Angle for Aerodynamic Drag Reduction of a Bus by Daniel Hailu Aseba, Ramesh Babu Nallamothu, Abraha Kahsay

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Optimizing NZEB performance: A review of design strategies and case studies by Mohanad M. Ibrahim, María Jose Suarez-Lopez, Ahmed A. Hanafy, Micheal A. William

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Advancing sustainable cities and communities with internet of things: Global insights, trends, and research priorities for SDG 11 by Shaher Zyoud, Ahed H. Zyoud

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A novel deep learning model for air quality index prediction integrating time series decomposition and intelligent optimization by Guangyao Ma, Kai Xu, Yue Zhang, Lanhe Zhang, Zicheng Chen

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Recent advances in the development of defective black TiO2 nanomaterials for application in energy and environmental sustainability: A review by Ntakadzeni Madima, Nyiko M. Chauke, Siphelo Ngqoloda, Olga K. Mmelesi, Mpfunzeni Raphulu

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Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection by Khandaker Mohammad Mohi Uddin, Md. Tofael Ahmed Bhuiyan, Md. Mahbubur Rahman, Md. Manowarul Islam, Md Ashraf Uddin

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Self-Extinguishing Epoxy Nanocomposites Containing Industrial Biowastes as Sustainable Flame-Retardant Additives by Immacolata Climaco, Claudio Imparato, Francesca Di Lauro, Jessica Passaro, Marco Balsamo, Pietro Russo, Henri Vahabi, Giulio Malucelli, Fabio Montagnaro, Antonio Aronne, Aurelio Bifulco

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Electrodeposition of nano- and micro-materials: Advancements in electrocatalysts for electrochemical applications by Mayra S. Tovar-Oliva, Ignacio Tudela

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Research on Supraharmonic detection in renewable energy grid Inte-gration based on improved ResNet18 by Yangyang Zhu, Fei Zhong, Jiaqi Gao, Yuntai Cao, Xiaotian Wang, Zhihong Jiang

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Using Chemical Precipitation to Recover Struvite from Household Wastewater for Agricultural Fertilizer Utilization by Reya Issac, Muthukumar Lakshmi Prabha, Robinson Emilin Renitta, Sevanan Murugan, Jincy Ann George, Theena Jemima Jebaseeli, Subramanium Vijayanand

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Bioinformatics Approaches for the Molecular Characterization and Structural Elucidation of a Hypothetical Protein of <i>Aedes albopictus</i>  by Mamun Al Asad, Surya Afrin Shorna, Md. Mizan, Rajib Deb Nath, Abu Saim Mohammad Saikat, Md. Ekhlas Uddin

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Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

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Advancements and challenges in UAV-based communication networks: A comprehensive scholarly analysis by Fayu Wan, Muhammad Bilal Yaseen, Muhammad Bilal Riaz, Anum Shafiq, Atul Thakur, Md Owahedur Rahman

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Applications of fault-tolerant control system in the design of wind turbine generation systems: A comprehensive review and future prospects by Arslan Ahmed Amin, Muhammad Irfan, Turki Alsuwian, Saifur Rahman, Ansa Mubarak, Saba Waseem

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Handover decision with multi-access edge computing in 6G networks: A survey by Saeid Jahandar, Ibraheem Shayea, Emre Gures, Ayman A. El-Saleh, Mustafa Ergen, Mohammad Alnakhli

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Integrated Framework for Manufacturing, Design, and Monitoring of Composite-Bonded Joints: An Overview of the Results of the IDEA Project (MOST) by Marino Quaresimin, Paolo Andrea Carraro, Federico Lamon, Silvia Giovanna Avataneo, Matteo Basso, Andrea Merulla, Umberto Galietti, Ester D’Accardi, Davide Palumbo, Massimiliano De Agostinis, Mattia Mele, Monica Ferraris, Alessandro Benelli, Koshika Pandey

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Multi-Scale Modeling of Polymeric Metamaterials: Bridging Design and Performance—A Review by Siti Nur Sakinah Jamaludin, Nik Mohd Izual Nik Ibrahim, Mohd Zaidi Azir, Noor Mazni Ismail, Shahnor Basri

“…Some of their prominent uses include different engineering applications, such as structures for impact attenuation and load-carrying systems, demonstrating multi-scale procedures as promising tools to solve engineering problems. …”
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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

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Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

“…There are engineering issues caused by the traditional energy scheduling model where the energy generation (source) adjusts according to the energy consumption (load) in textile industrial parks, leading to a disconnect between the energy system and the production system, low energy efficiency, and high carbon emissions. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

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