Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

“…Microgrid formation (MF) has emerged as a crucial approach for service restoration (SR) under such circumstances since local resources can be utilized to provide temporary power supplies. This paper proposes a novel MF-based SR approach for the DS to maximize the expected weighted load served ratio (WLSR) by allocating mobile power sources and dynamic MF scheduling in the worst case against extended extreme events. …”
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Design of a Portable Integrated Fluid–Structure Interaction-Based Piezoelectric Flag Energy-Harvesting System by Haochen Wang, Xingrong Huang, Zhe Li, Le Fang

“…This work establishes a reference framework and provides a novel technological pathway for advancing practical applications of fluid-induced energy harvesting, contributing to the development of autonomous power sources in various engineering fields.…”
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Microplastic removal in aquatic systems using extracellular polymeric substances (EPS) of microalgae by H. Hadiyanto, Adian Khoironi, Inggar Dianratri, Falvocha Alifsmara Joelyna, Marcelinus Christwardana, Adhelia Intan Sabhira, Rifqi Ahmad Baihaqi

“…Microplastic contamination in clean water sources and household wastewater is a significant environmental issue that requires sustainable remediation solutions. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

“…Transfer learning addresses issues related to data scarcity, while data fusion models integrate information from multiple sources. Advances in machine learning, data processing, and GPU speed contribute to the increased efficiency of radar technology for indoor monitoring, opening possibilities for more advanced applications. …”
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Carbon Footprint of Polypropylene Product in Iranian Petrochemical Industry by Sara Safi Jahanshahi, Ahmad Sherafati, Hossein Vahidi

“…By identifying these critical areas, the research not only advances our understanding of polypropylene's environmental profile but also suggests targeted interventions such as the adoption of renewable energy sources and efficiency improvements. This analysis not only sets a benchmark for future environmental assessments within the industry but also serves as a crucial tool for policymakers and industry leaders aiming to implement more sustainable manufacturing practices. …”
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Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…These results highlight the model’s strong predictive capability and its practical utility in improving water treatment plant efficiency. …”
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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

“…By identifying the significant role of technology in advanced farming practices, we aim to create a solution that helps farmers make informed decisions about crop selections and agricultural practices. Utilizing data analytics and AI-driven insights enhances productivity and efficiency. …”
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Performance and Applicability Analysis of Indirect Evaporative Cooling Units in Data Centers Across Various Humidity Regions by Qian Wei, Jun Lu, Xiaoping Xia, Bin Zhang, Xiang Ying, Leihong Li

“…Indirect evaporative cooling (IEC), which utilizes natural cooling sources, is an advanced and promising technology to reduce the energy consumption of cooling systems in a data center (DC). …”
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Advancements in Integrated Thermoelectric Power Generation and Water Desalination Technologies: A Comprehensive Review by Oranit Traisak, Pranjal Kumar, Sara Vahaji, Yihe Zhang, Abhijit Date

“…The growing population and reliance on fossil fuels for electricity generation pose challenges related to environmental pollution and resource depletion, necessitating the exploration of alternative energy sources and desalination techniques. While thermoelectric generators are capable of converting low-temperature thermal energy into electricity and desalination processes that can utilize low-temperature thermal energy, their effective integration remains largely unexplored. …”
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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…However, the prediction is inevitably influenced by geotechnical variability and various sources of uncertainty. This paper investigates the effectiveness of integrating explainable machine learning (ML) model and Bayesian generalized linear model (GLM) to enhance both predictive accuracy and uncertainty quantification in Vs prediction. …”
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Comparative analysis of quality indicators of aviation kerosine, biofuels and their mixtures by K. I. Gryadunov, A. N. Kozlov, V. M. Samoylenko, S. Ardeshiri

“…Modern trends of civil aviation development indicate the need to improve fuel efficiency and environmental friendliness of the utilized fuels. …”
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Performance Assessment of Novel Soda Ash Adsorbent Biogas Sweetening: Fixed Bed Studies, Adsorption Kinetics, and Adsorption Isotherms by Register Mrosso, Cleophas Achisa Mecha

“…The reliance on greenhouse gas-emitting unrenewable energy sources such as coal, natural gas, and oil, increases climate change. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…Attribute-based access control is fundamentally dependent on the secure service attribute calibration of object sources. Traditionally, the calibration of secure service attribute for textual data has been primarily reliant on human experts and machine learning methods, yet the efficiency and few-shot ability are insufficient. …”
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

“…This network collects information from different sources for enhancing the correctness of the universal learning approach. …”
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Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification by Ramia Ouederni, Innocent E. Davidson

“…Advances in space solar power systems are recognized to be feasible sources of renewable energy. Their usefulness arises due to advances in satellite and space technology, making valuable space data available for smart grid design in these remote areas. …”
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Bi₂Te₃/Carbon Nanotube Hybrid Nanomaterials as Catalysts for Thermoelectric Hydrogen Peroxide Generation by Chunlei Li, Shun Li, Long Zhao, Jianming Zhang

“…Harnessing waste heat from environmental or industrial sources presents a promising approach to eco-friendly and sustainable chemical synthesis. …”
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Gender Stereotypes and Green Banking Toward Carbon-Free Economy by Tetyana Pimonenko, Oleksii Lyulyov, Yana Us, Oleksii Dubyna, Osei Owusu Evelyn Kumah

“…Systematization of scientific sources and approaches concerning the investigated issues showed that only several international financial funds and organizations established in response to climate change focus on the gender aspects towards empowering women with more opportunities to participate in green projects. …”
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Open bibliographic databases: in search of an alternative to Scopus and the Web of Science by I. D. Turgel, O. A. Chernova

“…The research methodology employed in this study involves a content analysis of relevant sources that examine science as a specialized field of human activity. …”
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Torsional Vibration Characterization of Hybrid Power Systems via Disturbance Observer and Partitioned Learning by Tao Zheng, Hui Xie, Boqiang Liang

“…The series–parallel hybrid powertrain combines the advantages of both series and parallel configurations, offering optimal power performance and fuel efficiency. However, the presence of multiple excitation sources significantly complicates the torsional vibration behavior during engine startup. …”
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Optimizing agricultural biomass selection for biochar production using multicriteria decision-making by Ayodeji Raphael Ige, Grażyna Łaska, Grzegorz Świderski, Grzegorz Zając

“…Given the increasing demand for eco-friendly soil amendments, water treatment efficiency and renewable energy sources, identifying optimal agricultural biomass feedstocks is crucial. …”
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