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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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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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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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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Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification by Ramia Ouederni, Innocent E. Davidson

“…Using HOMER Pro software V 3.14.2 for system simulation, a more advanced AI optimization was performed utilizing Grey Wolf Optimization and Harris Hawks Optimization, which are two metaheuristic algorithms. …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…This study aims to develop an efficient KFE approach for generic videos. Existing methods include the Adaptive Key Frame Extraction Algorithm, which reduces redundancy while ensuring maximum content coverage; the Optimal Key Frame Extraction Algorithm, which utilizes a Genetic Algorithm (GA) to select key frames optimally; and the Rapid Key Frame Extraction Algorithm, which employs clustering techniques to identify typical key frames. …”
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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

“…To gain the research goal, this study applied the modified Cobb-Douglas function that utilizes cross-sectional data on green finance and gender determinants. …”
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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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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

“…Considering the good market in Romania for quality and locally sourced products, mountain labels and their use among the producers were regarded as having a better impact on the economic and market status. …”
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A novel approach to pseudorandom number generation using Hamiltonian conservative chaotic systems by Vinod Patidar, Tanu Singh

“…We provide a detailed description of the pre-analysis, followed by two methods that utilize the Poincaré sections of HCCS to extract pseudorandom sequences, along with their corresponding pseudo codes. …”
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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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Strategic model for integrating biogas a framework for sustainable energy integration in agro-industries by Ahmad Nahwani, Soeprijanto Soeprijanto, Erwin Widodo

“…The novelty of this research lies in maximizing the utility of biogas plants by efficiently treating and reusing wastewater, creating a closed-loop, zero-waste process. …”
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