Oil spill classification based on satellite image using deep learning techniques by Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

“…This paper applied three deep-learning algorithms for satellite image classification, including ResNet50, VGG19, and InceptionV4; They were trained and tested on an open-source satellite image dataset to analyze the algorithms' efficiency and performance and correlated the classification accuracy, precisions, recall, and f1-score. …”
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Microgrid Resilience Enhancement with Sensor Network-Based Monitoring and Risk Assessment Involving Uncertain Data by Tangxiao Yuan, Kossigan Roland Assilevi, Kondo Hloindo Adjallah, Ayité Sénah A. Ajavon, Huifen Wang

“…This paper focuses on enhancing the resilience of microgrids—localized power systems that integrate multiple energy sources—against challenges such as natural disasters, technological obstacles, and human errors. …”
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Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 2: Implementation by Alexey Pavluchenko, Aleksandr Kukla

“…Circuit diagrams for the main components of transducer — namely, the programmable voltage source for ISFET biasing and the transimpedance amplifier for the sensor output readout — are presented, as well as the experimental estimation of the ISFET sensor thermometric properties and the efficiency of thermocompensation.…”
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Reliable DC Shipboard Power Systems—Design, Assessment, and Improvement by Robin van der Sande, Aditya Shekhar, Pavol Bauer

“…Targeting a climate-neutral maritime sector drives the adoption of the all-electric ship (AES). While AESs can utilize both ac and dc shipboard power systems (SPS), a dc system offers advantages in efficiency, power density, and source synchronization. …”
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Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method by Chirag Mongia, Shankar Sehgal

“…To address this limitation, a transfer learning (TL)-based methodology has been developed for bearing fault detection, so that the model trained under some specific training conditions can perform accurately under significantly different real-time working conditions, thereby significantly improving diagnostic efficiency while reducing training time. Initially, a deep learning approach utilizing convolutional neural networks (CNNs) has been employed to diagnose faults based on vibration data. …”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

“…In the process of developing a prediction model suitable for the target domain by utilizing multi-source data, we propose a data similarity evaluation method using DTW, which demonstrates excellent performance with low error rates in the MSE and MAE metrics compared with conventional long short-term memory (LSTM) and Transformer models. …”
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Decellularized Green and Brown Macroalgae as Cellulose Matrices for Tissue Engineering by Caitlin Berry-Kilgour, Indrawati Oey, Jaydee Cabral, Georgina Dowd, Lyn Wise

“…These findings demonstrate the potential of <i>E. radiata</i>-derived cellulose scaffolds for skin tissue engineering and highlight the influence of macroalgae ECM structures on decellularization efficiency, cellulose matrix properties, and scaffold utility.…”
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Evaluation of nitrogen fixation in the marine purple photosynthetic bacterium Rhodovulum sulfidophilum under autotrophic and heterotrophic conditions by Miki Suzuki, Tomokazu Shirai, Shamitha Rao Morey-Yagi, Akihiko Kondo, Keiji Numata

“…They are predominantly mixotrophs capable of utilizing both organic and inorganic carbon sources for growth. …”
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An ensemble approach for spam detection in Arabic opinion texts by Radwa M.K. Saeed, Sherine Rady, Tarek F. Gharib

“…The detection of spam reviews in Arabic online sources is a relatively new topic despite the relatively huge amount of data generated. …”
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A Lean Six Sigma, Industry 4.0 and Circular Economy-driven methodology for wine supply chain process improvement by Alessandro Zironi, Pamela Danese, Pietro Romano, Roberto Zironi

“…The methodology has been tested in a real case to evaluate its utility for practice and relevance. …”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…To tackle data heterogeneity, we developed a multimodal feature fusion strategy that effectively integrates battery sensor data from different sources and formats, including time-series charge-discharge sensor data and spectral impedance sensor measurements. …”
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Embracing E-Court Innovation: Advancing Maslahah Mursalah in Indonesia's Religious Courts by Eti Yusnita, Yuswalina, Muhammad Toriq

“…This study adopts a qualitative research approach, utilizing descriptive analysis and drawing upon both primary and secondary data sources. …”
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Antibody Purification Using Spy Chemistry by Xiaofeng Yang, Zhanglin Lin, Ya Xiang, Zisha Lao

“…Using this protocol, we achieved &gt;90% purity of human immunoglobulin G (hIgG) from diverse sources, including E. coli cell lysates, human serum, and industrial fermentation broth. …”
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Enhancing Consumer Protection in Electronic Transactions in Indonesia by Zaidah Nur Rosidah, Lego Karjoko

“…The statutory approach analyses laws and regulations governing electronic transactions, while the conceptual approach applies Richard Posner's Economic Analysis of Law theory to assess the efficiency of consumer protection mechanisms. Data was gathered through a literature review of primary and secondary legal sources, and conclusions were drawn using deductive reasoning. …”
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USE OF GAS TURBINES FOR COMBINED ENERGY PRODUCTION by V. A. Bulanin

“…Basic gas turbine construction schemes are investigated along with their techno-economic characteristics and an assessment of their comparative utility. Conclusion. Considering the widespread availability of natural gas, it is recommended that gas turbine and combined-cycle plants be installed as part of the process of technical re-equipment in the fuel and energy complex, industry, agriculture and municipal energy sectors as part of the design and construction of new energy sources in the light of positive world experience and the current level of development of gas turbine technologies. …”
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Predictive Method for the Evolution of Flow Velocity in an Open Channel with a Floating Vegetation by Yuqi SHAN, Ziqin GUI, Hui CAO, Yufeng REN, Chao LIU

“…Twelve groups of experimental data from various sources are utilized to verify the proposed model. …”
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Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets by Deeksha Sharma, Rajesh Karki

“…Growing global concerns over reducing carbon emissions in the electricity market have accelerated the integration of renewable energy sources and electric vehicles, increasing variabilities and uncertainties across various nodes of power networks. …”
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Green Commute: Reducing Carbon Footprint in Commuting Scenarios in Karaj by Shima Oveisi, Mazaher Moeinaddini

“…This study addresses the substantial contribution of mobile sources in commuting to greenhouse gas (GHG) emissions in megacities and underscores strategies for carbon footprint emission reduction. …”
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Cloud-Edge-Collaboration-Based Flexibility Scheduling Strategy Considering Communication and Computation Delay by Wei Zhang, Hui Miao

“…As the penetration rate of renewable energy sources (RES) gradually increases, demand-side resources (DSR) should be fully utilized to provide flexibility and rapidly respond to real-time power supply-demand imbalance. …”
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Bibliometric cartography of data science: a large-scale analysis on knowledge integration and diffusion by Hongkan Chen, Jinchang Liu, Win-bin Huang, Yi Bu

“…Our analysis reveals that, over the past four decades, data science has increasingly integrated a diverse range of knowledge sources, albeit with a pronounced dependence on a limited number of dominant fields. …”
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