Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators by Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel

“…The findings highlight the potential of machine learning to predict the percentage of the population unable to keep their houses adequately warm, enabling policymakers to allocate resources more efficiently and target vulnerable populations. …”
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Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…Given the influence of global warming, the number of sea ice areas has considerably decreased over the previous decades. …”
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Classification Importance of Seed Morphology and Insights on Large-Scale Climate-Driven Strophiole Size Changes in the Iberian Endemic Chasmophytic Genus <i>Petrocoptis</i> (Caryop... by Jorge Calvo-Yuste, Ángela Lis Ruiz-Rodríguez, Brais Hermosilla, Agustí Agut, María Montserrat Martínez-Ortega, Pablo Tejero

“…Strophiole size in <i>Petrocoptis</i> could have been potentially driven by adaptation to local climates through the investment of more resources in the production of bigger strophioles to increase the hydration ability of the seed in dry and warm climates. …”
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Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption by Aleksandr Karmanov

“…Collectively, these studies demonstrated the potential of AI in the field of control theory. Most of them should be viewed as early exploratory work demonstrating the potential of using machine learning algorithms to solve applied problems in energy consumption.…”
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Dynamic conditioning of porcine kidney grafts with extracellular vesicles derived from urine progenitor cells: A proof‐of‐concept study by Perrine Burdeyron, Sébastien Giraud, Maryne Lepoittevin, Nina Jordan, Sonia Brishoual, Maïté Jacquard, Virginie Ameteau, Nadège Boildieu, Estelle Lemarie, Jonathan Daniel, Frédéric Martins, Nicolas Mélis, Marine Coué, Raphaël Thuillier, Henri Leuvenink, Luc Pellerin, Thierry Hauet, Clara Steichen

“…Kidneys were subjected to warm ischemia (32 min) and then preserved by hypothermic machine perfusion (HMP) for 24 h before 5 h of normothermic machine perfusion (NMP). …”
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Future seasonal surface temperature predictability with and without ARISE-stratospheric aerosol injection-1.5 by Kirsten J Mayer, Elizabeth A Barnes, James W Hurrell

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Improving cultural understanding and sparking creativity through the application of the CSS in an intercultural and primarily Chinese research team by Annika Bastian, Feng Luo, Tangbin Xia, Albert Albers

“…The central role of creativity in product engineering is evident in the generation of solutions with high innovative potential. Even in times of artificial intelligence being creative is still a skill in which the human outperforms the machine. …”
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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation by Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro

“…Abstract Global warming is one of the most pressing and critical problems facing the world today. …”
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Prediction of minimum miscibility pressure of CO2-oil systems using grey-box modeling for carbon dioxide capture, utilization, storage, and enhanced oil recovery by Milad Asghari, Sajjad Moslehi, Mohammad Emami Niri, Shahin Kord

“…The findings of this study highlight the potential of grey-box machine learning modeling as a valuable tool in the field of CO2 flooding and contribute to the ongoing endeavors in carbon capture, utilization, and storage.…”
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Multi-objective Bayesian optimization of eco-friendly gas mixtures for resistive plate chambers by Pit Bechtold, Dario Stocco, Christian M Franck

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Radiative forcing from the 2020 shipping fuel regulation is large but hard to detect by Jianhao Zhang, Yao-Sheng Chen, Edward Gryspeerdt, Takanobu Yamaguchi, Graham Feingold

“…Abstract Reduction in aerosol cooling unmasks greenhouse gas warming, exacerbating the rate of future warming. …”
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Comparative life cycle assessments of laboratory and Pilot-scale Mechanochemical processes for producing carbonated mineral products as cement substitutes by Mohamed Katish, Xinyuan Ke, Phil Renforth

“…Incorporating 20% mineral carbonated BFA showed potential for a 33% reduction in the annual Global Warming Potential (GWP) of cement products. …”
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Application Advances and Prospects of Ejector Technologies in the Field of Rail Transit Driven by Energy Conservation and Energy Transition by Yiqiao Li, Hao Huang, Shengqiang Shen, Yali Guo, Yong Yang, Siyuan Liu

“…To address these issues, future efforts should focus on developing dynamic intelligent control technology based on machine learning, designing adjustable nozzles and other structural innovations, optimizing multi-system efficiency through hybrid architectures, and investigating global warming potential refrigerants. …”
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An Effective Feature Extraction Method for Tomato Leafminer - Tuta Absoluta (Meyrick) (Lepidoptera: Gelechiidae) Classification by Tahsin Uygun, Serhat Kiliçarslan, Cemil Közkurt, Mehmet Metin Ozguven

“…These results highlight the potential of combining deep learning-based feature extraction with conventional machine learning for early pest detection. …”
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Experimental and numerical investigation on diffusion-absorption refrigeration system using low GWP refrigerant R600, C9H20 and helium by R. Garma, N. Ben-Ezzine, A. Bellagi

“…This paper presents the results of experimental and theoretical study of a diffusion absorption refrigerator using an original working fluid system constituted of R600 as refrigerant with low global warming potential, hydrocarbon n-nonane as absorbent and helium as auxiliary gas. …”
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Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet by Shojib Mia, Firoz Ahmed, Ibrahim Khan, Md. Emamul Kabir, Mehedi H. Roni, Khadijatul Cobra, Anjuman Ara Khatun, Shahriar Mahmud

“…This review examines the operational and technical needs of IoT devices, their integration with various renewable energy sources using Raspberry Pi or Arduino platforms equipped with sensors (such as motion, vibration, flow, and gyroscope), and the application of machine learning in IoT devices to showcase the potential of these technologies in fostering a smart, green world. …”
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Real-Time Contrail Monitoring and Mitigation Using CubeSat Constellations by Nishanth Pushparaj, Luis Cormier, Chantal Cappelletti, Vilius Portapas

“…Contrails, or condensation trails, left by aircraft, significantly contribute to global warming by trapping heat in the Earth’s atmosphere. …”
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Design and Development of Gorilla Optimized Deep Resilient Architecture for Prediction of Agro-Climatic Changes to Increase the Crop–Yield Production by Deepa Devarashetti, S. S. Aravinth

“…The research proves that the proposed model demonstrates high potential for climate forecast in agricultural production environments consequently boosting crop yields to enhance farmer incomes.…”
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Proactive Maintenance and Data-Driven Optimization of Mineral Lubricating Oil in a Gas Engine Cogeneration System Extending Oil Change Intervals for Cost Savings and a Reduced Envi... by Krzysztof Pytel, Roman Filipek, Adam Kalwar, Małgorzata Piaskowska-Silarska, Wiktor Hudy, Jana Depešová, Franciszek Kurdziel

“…Optimized oil utilization reduced material costs for oil and filter replacements, lowering expenditures from 3021 to 1887 EUR per machine hour. Additionally, the predicted Global Warming Potential (GWP) for prematurely consumed oil amounted to 68 × 10³ kg CO₂ eq., while avoidable waste generation reached 18.2 m³ of mineral oil. …”
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Feasibility test of per-flight contrail avoidance in commercial aviation by Aaron Sonabend-W, Carl Elkin, Thomas Dean, John Dudley, Noman Ali, Jill Blickstein, Erica Brand, Brian Broshears, Sixing Chen, Zebediah Engberg, Mark Galyen, Scott Geraedts, Nita Goyal, Rebecca Grenham, Ulrike Hager, Deborah Hecker, Marco Jany, Kevin McCloskey, Joe Ng, Brian Norris, Frank Opel, Juliet Rothenberg, Tharun Sankar, Dinesh Sanekommu, Aaron Sarna, Ole Schütt, Marc Shapiro, Rachel Soh, Christopher Van Arsdale, John C. Platt

“…Contrail avoidance is a potential option to mitigate this warming effect, however, uncertainties surrounding operational constraints and accurate formation prediction make it unclear whether it is feasible. …”
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