MPJ-SPARK Integration-Based Technique to Enhance Big Data Analytics in High Performance Computing Environments by Sakhr A. Saleh, Maher A. Khemakhem, Fathy E. Eassa

“…Traditional analytics tools lag HPC in computational efficiency, whereas machine learning workloads require substantial resources. …”
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An Assessment of Sawmill Wood Waste Availability for Use in Gasifiers in Akure, Ondo State, Nigeria by J. M. Owoyemi, A. O. Melodi, O. J. Olukunle, P. G. Oguntunde, I. F. Titiladunayo, O. Z. Ayodeji, J. A. Fuwape, I. O. Oyeleye, T.O Akinwamide, O. J. Ogunniyi

“…The objective was to evaluate the availability of wood waste and its potential utilization as feedstock for mini-grid gasifiers to generate electricity from renewable sources. …”
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Power electronics for green hydrogen generation with focus on methods, topologies, and comparative analysis by AlAmir Hassan, Omar Abdel-Rahim, Mohit Bajaj, Ievgen Zaitsev

“…Converter designs like the galvanically isolated half-bridge converter with controlled reverse-blocking switches for achieving zero voltage switching (ZVS), the Push–Pull isolated DC-DC converter prioritizing current stability, and the Isolated Full-Bridge Boost Converter (IFBBC) adept at handling fluctuating power outputs from renewable sources are also explored. Moreover, the study scrutinizes a range of converter configurations such as the Two-stage ZVT boost converter with LCL-Type SRC, multiphase interleaved DC-DC stage, and three-port isolated DC/DC converter for efficient integration with multiple energy sources concurrently. …”
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Advancements in vibration-based energy harvesting systems for bridges: A literature and systematic review by Amin Moslemi, Maria Rashidi, Ali Matin Nazar, Pejman Sharafi

“…The review shows that vortex-induced vibration for its high effectivity in low wind speed conditions and galloping, despite requiring higher wind speeds, are the most efficient techniques in this area. This study aims to provide valuable insights for researchers and engineers to utilize these technologies in bridge infrastructure, thereby improving energy efficiency and sustainability.…”
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Optimization and characterization of polyhydroxybutyrate produced by Vreelandella piezotolerans using orange peel waste by Mahmoud H. Hendy, Amr M. Shehabeldine, Amr H. Hashem, Ahmed F. El-Sayed, Hussein H El-Sheikh

“…Notably, this is the first research to optimize PHA production with V. piezotolerans, utilizing Design Expert 7.0 software. Various bacterial isolates were screened, and the most efficient strain, MH46, was identified as V. piezotolerans through 16 S rRNA sequencing and registered in GenBank (accession number PP826285). …”
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AI-Powered Innovations in Food Safety from Farm to Fork by Binfeng Yin, Gang Tan, Rashid Muhammad, Jun Liu, Junjie Bi

“…First, in the production and quality control of primary food sources, the integration of spectral data with AI efficiently identifies pest and disease, food spoilage, and pesticide and veterinary drug residues. …”
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Development of Chili Grinding Machine with Hybrid System of Wind and Solar Energy by Ameer Uddin, Zetya Maulanal Haqqy, Sulistiyanto Sulistiyanto

“…This study aims to develop an efficient chili grinding machine that utilizes a hybrid system combining wind and solar energy as a sustainable solution to address the issue of dependence on conventional energy sources, which are often expensive, environmentally unfriendly, and limited in rural areas. …”
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A Spatial Estimation of Groundwater Recharge in Southern Ontario, Canada by Abdelhaleem Khader

“…Efficient management of groundwater resources is needed, due to their importance and susceptibility to depletion and contamination. …”
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Development of photodynamic therapy in treating oral diseases by Ling Wang, Qiang Chen, Dan Liu

“…PDT consists of three essential components: photosensitizer (PS), a light source with a certain wavelength, and oxygen dissolved in the cells. …”
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Current situation and financial support of the transport industry in Ukraine by O.A. Vyhovska

“…Such cooperation opens the opportunities for solving a number of problems for Ukrainian utilities and local self-government bodies. Ensuring the accelerated economic development of Ukraine is possible only if the efficient use of transport infrastructure as the main component of the national transport system and its dynamic development will take place.…”
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CNN-Based Multi-Object Detection and Segmentation in 3D LiDAR Data for Dynamic Industrial Environments by Danilo Giacomin Schneider , Marcelo Ricardo Stemmer

“…This paper proposes a novel approach utilizing Convolutional Neural Networks (CNNs) for multi-object detection in 3D space and 2D segmentation using bird’s eye view (BEV) maps derived from 3D Light Detection and Ranging (LiDAR) data. …”
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Research on bearing fault feature transfer diagnosis based on balanced distribution adaptation under feature fusion by Lulu Wang, Yongqi Li, Chunyi Zhang, Ralph Gerard Sangalang

“…Principal Component Analysis (PCA) is then utilized to reduce the dimensionality of the high-dimensional features, preserving the main information while reducing computational complexity. …”
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Evacuation decision-making in fire Situation: Base on eye movement experiment in physical and virtual environments by Jiguang Shi, Ning Ding, Ziheng Zhang

“…The findings reveal that safety evacuation signs are the primary source of information for individuals on the fire scene. …”
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Effective Classification of Plant Diseases Using Blend Unity Resqueeze With ResNet Model by Reena S, Rathinasabapathy

“… Agricultural is the primary source of essential provisions almost all nation and remains as a vital survival tool for human race for past, present and future. …”
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Time-variant Granger causality analysis for intuitive perception collision risk in driving scenario: an EEG study by Zhe Wang, Jialong Liang, Shang Shi, Peng Zhai, Lihua Zhang, Lihua Zhang

“…Intuition is a rapid and unconscious cognitive process that is widely utilized in driving scenario. The current study examines the neural mechanisms behind intuitive driving by performing a time-varying Granger causality analysis on source-domain EEG data. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…To efficiently counter new malware variants, novel techniques distinct from conventional methods must be utilized. …”
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Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach by Bernardine Chidozie, Ana Ramos, José Vasconcelos, Luis Pinto Ferreira

“…<i>Background:</i> In the pursuit of sustainable energy sources, residual biomass has emerged as a promising renewable resource. …”
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Breakthroughs in CH4 capture technologies: Key to reducing fugitive methane emissions in the energy sector by Wenkang Deng, Xiaofeng Xie, Yalou Guo, Guoping Hu

“…However, capturing methane from low-concentration sources to meet transportation or utilization requirements remains a significant technical challenge, highlighting the need for advances in low-grade methane enrichment technologies. …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…The dashboard, developed using Power BI visualizes epidemiological trends, intervention outcomes, and resource utilization. A relational database schema ensures efficient data retrieval, facilitating comprehensive analysis. …”
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Power-to-X in Southern Iraq: Techno-economic assessment of solar-powered hydrogen electrolysis combined with carbon capture and storage for sustainable energy solutions by Rudha Khudhair Mohammed, Hooman Farzaneh

“…The proposed PtX system is supposed to be located near the Hartha power plant, which is one of the main sources of electricity in the Basra region, allowing for the utilization of captured CO2 from the power plant’s exhaust gas. …”
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