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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Pain Management Methods and Techniques in Lumbar Disc Surgery: A Narrative Review Study by Somayeh Mehrpour, Shahram Shafa, Majid Vatankhah, Mehrdad Malekshoar, Mohammad Sadegh Sanie Jahromi, Tayyebeh Zarei, Mansour Deylami, Fateme Maleki, Roohie Farzaneh

“…Methods and Materials/Patients: Our search strategy involved utilizing specific terms, including ‘pain management,’ ‘lumbar disc surgery,’ ‘methods,’ and ‘techniques.’ …”
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Techno-economic analysis of cutting-edge PV systems deployment and reconfigurations on rooftop industrial building in Saudi Arabia’s eastern region by Abdulrhman Klifa Al-Hanoot, Hazlie Mokhlis, Saad Mekhilef, Mohammad Alghoul, Hussain Shareef, Zaid Alotaibi

“…The objective is to determine the most efficient technology and scenario under the project’s environmental conditions. …”
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Evaluate the Antimicrobial Properties of Double Antibiotic Paste (DAP) and Morinda Citrifolia and Propolis Paste (MCP) Used in Regenerative Endodontics: An In vitro Study by Bhavika A. Bhavsar, Vaishali Jain, Annu Kumari, Prabhooti Shukla, Riddhi Pandya, Modi R. Kumar, Shanaya Singh

“…Result: The wash from dentin samples treated with DAP and MCP showed minimal CFU counts, indicating both pastes’ high efficiency against biofilm-forming microbes from the canals of an immature tooth exhibiting pulp necrosis. …”
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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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Investigating lightweight foamed concrete prepared using selected brands of detergent and cement grades by Michael Asante‐Amankwa, Anthony Andrews

“…Its versatility spans from structural applications to thermal insulation and soundproofing, offering benefits such as low density, energy efficiency, and affordability. The study explored the feasibility of using locally sourced materials, specifically by utilizing three different powder detergents (K, M, and S) as foaming agents. …”
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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

“…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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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Achieving precise predictions is crucial for enhancing structural reliability and optimizing resource usage in construction projects. The analysis utilized the “Concrete Compressive Strength” dataset, sourced from UC Irvine’s publicly available ML repository. …”
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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

“…This paper presents the results obtained and demonstrates that advanced optimization techniques can enhance both the hybrid system’s financial cost and energy production efficiency, contributing to a sustainable electricity supply regime in this isolated rural community.…”
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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

“…That is the base of the new green economy focused on the social welfare of living and future generations due to increasing the eco-efficiency. This paper summarizes the arguments and counterarguments within the scientific discussion on gender stereotypes in society and green banking. …”
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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 results of the study can be useful for researchers, scientists, and policymakers who are interested in improving the quality and efficiency of scientific research in Russia…”
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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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ANALYSIS OF OPTIONAL QUALITY TERM (OQT): MOUNTAIN LABEL FROM PRODUCER’S PERSPECTIVE: STUDY OF MOUNTAINOUS COUNTIES SURROUNDING BRAȘOV, ROMANIA by Kiran MAINALI, Felix H. ARION, Cătălina ROGOZAN

“…The findings of the research can be beneficial to comprehend existing scenarios of mountain labels and producers’ perceptions of mountain labels post-registration, propose different systematic reformations for better efficiency of operations of mountain labels, and realize its initial objectives.…”
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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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LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection by Woojin Lee, Jaewook Lee, Harksoo Kim

“…To address these limitations, we utilize large language models (LLMs) pretrained on expansive datasets to generate accurate and contextually relevant target knowledge. …”
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Smart Agriculture: Predicting Diseases in olive using Deep Learning Algorithms by Rahman F., Raghatate Kapesh Subhash

“…In this study, olive tree diseases are managed by improving prediction and management using a deep learning algorithm, with the aim of efficiency and accuracy of the process. Utilizing a large number of olive leaf image data and corresponding environment factors, we developed and evaluated Convolutional Neural Networks (CNNs) and Long Short Time Memory networks (LSTMs). …”
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