Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

“…Neem oil, a non-edible feedstock, was selected to avoid competition with food resources, while alumina nanoparticles were utilized for their catalytic properties to enhance combustion efficiency. …”
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Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis by Li Cong, Ying Chen, Xiaolei He, MaiLiKai KuErBan, Chao Wu, Liping Chen

“…Several studies have endeavored to utilize image-based machine learning to diagnose IPF and its subtype of usual interstitial pneumonia (UIP). …”
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A development study for liquid- and vapor-fed anode zero-gap bioelectrolysis cells by Nils Rohbohm, Largus T. Angenent

“…Summary: Improving microbial electrosynthesis could be one solution for transitioning toward sustainable chemical production, offering a pathway to convert CO2 into valuable commodities from renewable energy sources. Therefore, we further developed liquid- and vapor-fed anode zero-gap bioelectrochemical cells for electromethanogenesis, utilizing a membrane electrode assembly to enhance mass and ohmic transport. …”
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Ductile–Brittle Transition Mechanism and Dilute Solution Softening Effect of Body-Centered Cubic Metals by Jie Zhang, Tianliang Zhao, Tingping Hou, Yan Li, Kaiming Wu

“…This mechanism was recently found to be related to the mobility of screw dislocation relative to edge dislocation, a decrease in which can induce a critical drop in the proliferation efficiency of dislocation sources. Furthermore, this paper summarizes the current research on the dilute solution softening effect of BCC metals, which has been frequently observed and studied in refractory alloys. …”
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Enhanced electrochemical performance of activated carbon derived from Acacia catechu bark by KOH activation for supercapacitor application by Mishra Pawan Kumar, Aryal Sabin, Bhakta Oli Hari, Shrestha Timila, Sapkota Thakur, Shrestha Ram Lal Swagat, Prasad Bhattarai Deval

“…Conventional carbon materials derived from fossils sources cause the limitations of being high rate, processing challenges, and potential harm. …”
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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

“…Charge–discharge experiments on the energy storage unit enable a comprehensive evaluation of system performance, marking the first efficiency measurement of a fully integrated energy-harvesting system. …”
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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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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…The study utilizes an Extreme Gradient Boosting (XGBoost) algorithm coupled with Shapley Additive Explanations (SHAPs) and partial dependency analysis to identify key geotechnical parameters influencing Vs predictions. …”
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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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Unknown power quality disturbances classification based on transfer learning approach with imbalanced data considerations by Mohammad Mosayebi, Sasan Azad, Mohammad Taghi Ameli

“…The integration of various new energy sources and power electronic devices into the power grid system has led to an increase in power quality disturbances (PQDs), necessitating accurate and efficient monitoring. …”
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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

“…Control area network (CAN) is widely adopted due to the exceptional efficiency and reliability. CAN is susceptible to various network-level attacks due to the shortfall in security protocols. …”
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Performance assessment of sustainable evacuated tube heat pipe solar collector driven seawater desalination system by Manish Sonkar, B. Kiran Naik

“…The proposed system aims to be both economical and energy-efficient, leveraging low-grade solar energy for heating and utilizing natural water bodies as thermal reservoirs. …”
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Photocatalytic Degradation of Acid Red and Acid Black Dyes Using Mn-Doped SrTiO₃ Perovskite Nanostructures by Mohammed Khalaf Zidane

“…These outcomes affirm the potential of Mn-doped SrTiO₃ as a viable photocatalyst for dye-contaminated wastewater treatment utilizing solar or artificial light sources The Mn-doped SrTiO₃ achieved degradation efficiencies of (92.5 %) for acid red (1 and 88.3 %) for acid black 1 within (120 min). …”
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