Biomanager Optimization Model for Enhancing Biogas Production from Cattle Farming in a Circular Economy System by Santiago Alexander Guamán Rivera, José Miguel Mira Naranjo, José Miguel Mira Naranjo

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Day-ahead optimal dispatch considering demand response compensation and carbon trading under uncertain environment. by Ze Ye, Deping Liang, Meihui Wang, Lei Chen

“…To fully explore the regulation resources on both sides of the source and load under uncertain environment and collaboratively achieve the energy saving and emission reduction goals, a low-carbon economic optimization dispatch model combining demand response and carbon trading mechanism is proposed in this paper. …”
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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution by Changping Sun, Xiaodi Zhang, Wei Zhang, Jiahao Liu, Zubing Zou, Leying Li, Cheng Wang

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Template mapping method for plane quadrilateral mesh generation with controllable density transitions by Yize Li, Qingyuan Hu, Gengdong Cheng

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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

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KAJIAN LITERATUR SISTEM INFORMASI MANAJEMEN STOK by Guntur Maulana Putra, Sheila Nurul Huda

“…This research uses qualitative descriptive writing with library research methods. by reviewing various bibliographic source journals. …”
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Optimalisasi Manajemen Sarana Prasarana dalam Meningkatkan Kualitas Pendidikan di SDN Banjaran 4 Kota Kediri by M. Ubaidillah Ridwanulloh, Iva Afifatur Rohmah, Nurul Qomariatus Sholikhah

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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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Modeling and Simulation of Insulin Pump Set Failures Based on the Power Flow Method by Weijie Wang, Dinghui Guo, Long Quan, Shiwei Liu

“…Findings reveal that leakage faults closer to the flow source significantly reduce the output flow rate and chamber pressure. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. …”
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A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

“…In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. …”
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Joint Optimization of Spectrum and Power Control in 6G Multi-UAV Networks: Managing Data Redundancy by Mohammad Ahmed Alnakhli

“…Additionally, we enhance energy efficiency through the Augmented Lagrangian method for power control optimization. Our approach achieves superior joint spectrum and energy efficiency, with spectrum efficiency reaching 0.75 bits/Hz, outperforming other methods by effectively exploiting data correlation. …”
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Machine Learning in Smart Buildings: A Review of Methods, Challenges, and Future Trends by Fatema El Husseini, Hassan N. Noura, Ola Salman, Khaled Chahine

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From archival research to the digitization of existing architectural heritage: methods and processes compared by Chiara Vernizzi, Virginia Droghetti

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Influence of homogenization methods on lichen species detection from environmental DNA metabarcoding by Ayumi Sakata, Toshifumi Minamoto, Tetsuya Sado, Ryo O. Gotoh, Masaki Miya

“…We previously developed a simple and efficient method for capturing arboreal biodiversity using stemflow as a source of eDNA; however, its performance with or without homogenization had not yet been compared. …”
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Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion by Jingchun Zhou, Mingliang Hao, Dehuan Zhang, Peiyu Zou, Weishi Zhang

“…A novel image segmentation method for multi-focus image fusion is proposed. This method consists of two main steps, using PSPnet combined, and the region optimization using ConvCRFs for multi-focus image fusion. …”
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Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations by Rene Gassmöller, Harsha Lokavarapu, Eric Heien, Elbridge Gerry Puckett, Wolfgang Bangerth

“…Yet today's codes increasingly use adaptive mesh refinement (AMR) of unstructured coarse meshes, dynamic repartitioning, and scale to thousands of processors. Optimally balancing the work per processor for a PIC method in these environments is a difficult problem, and many existing implementations are not sufficient for this task. …”
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Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks by Y. Harold Robinson, M. Rajaram

“…The CTRNN is used as an optimum path selection technique that produces a set of optimal paths between source and destination. In CTRNN, particle swarm optimization (PSO) method is primly used for training the RNN. …”
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Optimizing Bacterial Cellulose Production From Kombucha Tea Utilizing Molasses and Tea Dust in Growth Medium by Suriyapriya Selvaraj, Kalaichelvan Gurumurthy

“…This study is aimed at optimizing SCOBY production media using economical substrates through the Taguchi method of response surface methodology (RSM). …”
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Optimal State Estimation in Underwater Vehicle Discrete-Continuous Measurements via Augmented Hybrid Kalman Filter by Vadim Kramar, Kirill Dementiev, Aleksey Kabanov

“…The paper discusses, in detail, the theoretical foundations of the proposed method, including the mathematical description of continuous and discrete models, and its optimality criterion formulation. …”
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