Operational Conditions for an Internal Combustion Engine in a SOFC-ICE Hybrid Power Generation System by Victor A. Reyes-Flores, Zachary Swartwout, Shane Garland, Daniel B. Olsen, Bret Windom, Robert Braun, Todd Bandhauer

“…Hybrid power generation systems utilizing pressurized Solid Oxide Fuel Cells (SOFCs) have gained considerable attention recently as an effective solution to the increasing demand for cleaner electricity sources. …”
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Design analysis and techno-economic assessment of a photovoltaic-fed electric vehicle charging station at Dhaka-Mawa expressway in Bangladesh by Rahat Redwan, Mahmudul Hasan, Awatif Nadia, Md. Sabid Khan, Nishat Anjum Chowdhury, Nahid-Ur-Rahman Chowdhury

“…This study primarily focuses on the techno-economic design of a 300 kWp solar photovoltaic-powered electric vehicle charging station along the Dhaka-Mawa Expressway in Bangladesh, capable of charging 20 electric vehicles simultaneously. The design utilizes the commercially available software package PVsyst 7.2 to ensure the feasibility and efficiency of the charging infrastructure. …”
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Adult age differences in the integration of values for self and other by Lena Pollerhoff, Anne Saulin, Marcel Kurtz, Julia Stietz, Xue-Rui Peng, Grit Hein, Anita Tusche, Philipp Kanske, Shu-Chen Li, Andrea M.F. Reiter

“…Younger adults integrated values for benefits for themselves and others in the decision-making process and demonstrated increased decision-making efficiency by effectively integrating both sources of information. …”
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Analysis of Stirling engine’s performance in recovering waste heat from wood pellet, coconut husk and bagasse by Nik Kechik Mujahidah NIK ABDUL RAHMAN, Syamimi SAADON, Abd Rahim ABU TALIB, Ezanee GIRES, Hanim SALLEH, Nasser ABDELLATIF

“…The investigation involving waste heat from wood pellets, coconut husk and bagasse as heat source then demonstrates the engine’s ability to recover and utilize heat as low as 70°C and generate power output ranging from 30 to 40 W and thermal efficiency of around 14%. …”
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Optimizing hybrid PV/Wind and grid systems for sustainable energy solutions at the university campus: Economic, environmental, and sensitivity analysis by Zainullah Serat, Massoud Danishmal, Fida Mohammad Mohammadi

“…This study assesses the efficiency and cost-effectiveness of a hybrid renewable energy system without energy storage, concentrating on energy, economic, and environmental performance, in urban settings where surplus renewable electricity can be sold back to the utility grid. …”
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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The Power Transmission Line (PTL) is a pivotal infrastructure in the efficient distribution of electrical power, connecting the source generating stations to end-point consumers. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images by Dylan Russon, Antoine Guennec, Juan Naredo-Turrado, Binbin Xu, Cédric Boussuge, Valérie Battaglia, Benoit Hiron, Emmanuel Lagarde

“…This study proposes the deployment of advanced deep learning neural networks to automate the assessment of pedestrian crossings and roundabouts, leveraging aerial and street-level imagery sourced from Google Maps and Google Street View. Utilizing ConvNextV2, ResNet50, and ResNext50 models, we conducted a comprehensive analysis of pedestrian crossings across various urban and rural settings in France, focusing on nine identified risk factors.Our methodology incorporates Mask R-CNN for precise segmentation and detection of zebra crossings and roundabouts, overcoming traditional data annotation challenges and extending coverage to underrepresented areas. …”
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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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An Optimal Sizing Methodology for a Wind/PV Hybrid Energy Production System for Agricultural Irrigation in Skikda, Algeria by Nadhir Abderrahmane, Allaoua Brahmia, Adlen Kerboua, Ridha Kelaiaia

“…The proposed approach integrates two main renewable energy sources (while eliminating the use of traditional batteries for electrical energy storage): solar and wind. …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Currently, Machine Learning (ML) and Deep Learning (DL) techniques are utilized to address the security threats in IoT networks. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…Malware detectors play a critical role in this endeavor, utilizing various techniques such as statistical analysis, static and dynamic analysis, and machine learning (ML) to compare signatures and identify threats. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…This paper resolves these limitations by proposing a comprehensive scheme for multimodal Closed-Circuit Television (CCTV) video analysis. The utilized techniques in this paper comprise the Multimodal Deep Boltzmann Machine (MDBM), Multimodal Variational Autoencoder (MVAE) and Attention-based Fusion Networks, all of which fully utilize the learned representations. …”
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Immobilization of FDH on carbon felt by affinity binding strategy for CO2 conversion by Diego Maureira, Sady Roberto Rodriguez, Oscar Romero, Marina Guillén, Gregorio Álvaro, Lorena Wilson, Carminna Ottone

“…Enzymatic conversion is a promising option for utilizing CO2 as a renewable C1 source for high-value chemicals due to the high selectivity and specificity of enzymes, their environmental friendliness, and their ability to operate under mild conditions. …”
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Solar‐Powered Hierarchical Microenvironments with Authigenic Multi‐Field Synergies for Simultaneous Extraction of Freshwater and Cesium by Liuyan Zhu, Lin Zhu, Ting Shi, Ke Zhao, Wenwen He, Lu Han, Zeying Jin, Jialin Kang, Shanfu Sun, Ningning Cao, Zhen Yu

“…Abstract The escalating global resource and environmental crisis has intensified the urgent demand for efficiently extracting freshwater and critical metals from contaminated water sources, particularly nuclear‐contaminated seawater. …”
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Comparative study of agricultural parcel delineation deep learning methods using satellite images: Validation through parcels complexity by Amine Hadir, Mohamed Adjou, Olga Assainova, Gaëtan Palka, Marwa Elbouz

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Blockchain-Assisted Generation Rescheduling in Imperfect Market Environments by Salman Tariq, Mohamed Shaaban, Hazlie Mokhlis, Nurulafiqah N. Mansor, Hasmaini Mohamad

“…The proposed BC-based structure allows generators to participate in the short-term scheduling mechanism (such as day-ahead) in a trust-free environment without sharing their vital data yet achieving efficient, market-grade solutions. The feasibility of this new proposition is demonstrated through three different application scenarios, utilizing real-world load and renewable generation profiles sourced from the respective Grid System Operators databases. …”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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Recent HPLC-UV Approaches for Cannabinoid Analysis: From Extraction to Method Validation and Quantification Compliance by Eduarda M. P. Silva, Antonella Vitiello, Agnese Miro, Carlos J. A. Ribeiro

“…Notably, ultrasound extraction has emerged as the most widely utilized technique across various matrices, with Deep Eutectic Solvents (DESs) offering a promising, efficient, and environmentally friendly extraction alternative. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The model integrates the original YOLOv8n with a lightweight StarNet to form a dual-backbone structure, enabling efficient multi-channel feature fusion and enhancing fine-grained maturity feature extraction. …”
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