Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF by Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng

“…Historical power data are selected using a similar-day method and segmented into different periods using the Fisher optimal division method. …”
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Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
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Advanced Numerical Analysis of Heat Transfer in Medium and Large-Scale Heat Sinks Using Cascaded Lattice Boltzmann Method by Fatima Zahra Laktaoui Amine, Mustapha El Alami, Elalami Semma, Hamza Faraji, Ayoub Gounni, Amina Mourid

“…This study employs the Cascaded Lattice Boltzmann Method (CLBM) to enhance their thermal performance. …”
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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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Optimal energy management of distributed generation resources in a microgrid under various load and solar irradiance conditions using the artificial bee colony algorithm by Tareq Hamadneh, Omar Alsayyed, Belal Batiha, El Manaa Barhoumi, Mehrdad Ahmadi Kamarposhti, Hassan Haghighi, Phatiphat Thounthong, Ilhami Colak

“…Achieving these objectives requires comprehensive modeling of all microgrid components, including load profiles, generation sources, and the network structure. In recent years, metaheuristic optimization techniques have gained significant traction due to their flexibility and robustness in handling complex, nonlinear, and multi-objective problems without the need for initial estimations. …”
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Method for rapid deployment of low-cost sensors for a nationwide project in the Internet of things era: Air quality monitoring in Taiwan by Fan-Lun Chen, Kun-Hsing Liu

“…However, the conventional siting optimization methods were inadequate for deploying thousands of sensors. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The main advantage for readers is that FATA provides a reliable and efficient way to optimize power systems. Future work could also investigate the application of FATA in real time, as well as in larger power networks with more renewable energy sources.…”
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МОНІТОРИНГ ЕФЕКТИВНОСТІ РОБОТИ В ЛОКАЛЬНИХ ЕЛЕКТРОЕНЕРГЕТИЧНИХ СИСТЕМАХ by С.П. Денисюк, Г.С. Бєлоха, К.М. Гілевич, І.С. Чернещук

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Advancing climate resilience: technological innovations in plant-based, alternative and sustainable food production systems by Aleksandar Mešić, Marina Jurić, Francesco Donsì, Luna Maslov Bandić, Slaven Jurić

“…Precision agriculture uses technology to enhance farming efficiency by gathering data on soil and water variations and optimizing practices like planting, fertilization, and irrigation. …”
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To the Discussion on Academic Philosophy: What, How, and What for by Elena A. Guseva, Marina I. Panfilova

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Introducing Cu(II) onto SiO₂-TiO₂ with Rice Husk Ash as the Source of Silica and Its Catalytic Activity for Kumada Cross-coupling Reaction to Produce Biphenyl... by Dewi Agustiningsih, Nuryono Nuryono, Sri Juari Santosa, Eko Sri Kunarti

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Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data. by Ciarrah Barry, Junxi Liu, Rebecca Richmond, Martin K Rutter, Deborah A Lawlor, Frank Dudbridge, Jack Bowden

“…In this paper we describe a general procedure for optimally applying any two sample summary data method using one sample data. …”
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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images by Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan

“…Specifically, the cropland in this study was extracted by using an object-oriented classification method with Landsat images and the results were optimized as the vectorized boundary of croplands. …”
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Low carbohydrate diets, glycaemic control, enablers, and barriers in the management of type 1 diabetes: a mixed methods systematic review by Janine Paul, Rati Jani, Sarah Thorning, Mila Obucina, Peter Davoren, Catherine Knight-Agarwal

“…Abstract Background Medical nutrition therapy is fundamental for diabetes management, however there is a lack of evidence supporting an ideal recommended carbohydrate intake for maintaining optimal glycaemia in individuals living with type 1 diabetes (T1D). …”
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THE FUNDAMENTALS OF TEACHING CREATIVITY (BASED ON THE EXAMPLE OF GREAT BRITAIN) by Svetlana V. Skvortsova

“…Methods. Author uses the methods of theoretical analysis of original foreign materials; systematization and classification of the data from original foreign sources. …”
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<i>Ganoderma lucidum</i>—From Ancient Remedies to Modern Applications: Chemistry, Benefits, and Safety by Mădălina-Paula Plosca, Maria Simona Chiș, Anca Corina Fărcaș, Adriana Păucean

“…While <i>G. lucidum</i> is an excellent functional food and therapeutic agent it remains an unexploited source of nutrients. Further research is needed to optimize the industrial applications and evaluate the safety in specific populations.…”
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Optimization of Ultrasonication Probe-Assisted Extraction Parameters for Bioactive Compounds from <i>Opuntia macrorhiza</i> Using Taguchi Design and Assessment of Antioxidant Prope... by Dimitrios Kalompatsios, Vassilis Athanasiadis, Martha Mantiniotou, Stavros I. Lalas

“…Ultrasound probe-assisted extraction (UPAE) is a highly promising method for efficiently extracting valuable molecules from natural sources. …”
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A hybrid biomass supply chain optimization approach using sequential adaptive fuzzy inference learning: Insights from a cogeneration system in Europe by Seyydeh Atefeh Mousavi Abandansari, Peiman Ghasemi, Ahmad Attar, Fariba Goodarzian, Seyedeh Asra Ahmadi

“…This paper explores the biomass supply chain's untapped potential as an entrepreneurial opportunity, analyzing its complexities from raw material sourcing to product distribution. The study utilizes a hybrid, multifaceted approach to allow for such a thorough analysis, in which the first phase is to analyze questionnaires and use the fuzzy Delphi method to determine how various components and factors impact the biomass supply chain. …”
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Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm by P. Anilkumar, K. Lokesh, A. Naveen Kumar, D. John Pradeep, Y. V. Pavan Kumar, Rammohan Mallipeddi

“…The Improved Red Piranha Optimization (IRPO) approach is deployed to fine-tune the MSTDeepLabV3+ parameters. …”
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Assessment of Economic, Technical, Social, and Environmental Impact of Flexibility-based Smart Microgrid Operation by Faezeh Gholipour Zarandi, Masoud Rashidinejad, Amir Abdollahi, Ali Yazhari Kermani

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