Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps by Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu

“…This study proposes a control method that integrates deep reinforcement learning with load forecasting, to enhance the energy efficiency of ground source heat pump systems. …”
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Development and research of the quadrupole mass spectrometry simulation model with the entire ion optics system by Lina Yang, Yuqing Gu, Hao Gong, Zi-long Liu, Xingchuang Xiong, Xiang Fang

“…To address the challenges posed by numerous optimization parameters and high time costs, the orthogonal experimental design method was employed, which remarkably enhanced the efficiency of parameter optimization and reduced the experimental time and cost. …”
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Modeling a Green and Reliable Intermodal Routing Problem for Food Grain Transportation Under Carbon Tax and Trading Regulations and Multi-Source Uncertainty by Yan Sun, Chen Zhang, Ailing Chen, Guohua Sun

“…To overcome the model’s insolvability and the difficulty in finding the global optimum solution to a nonlinear optimization model, a two-stage solution method is developed, employing chance-constrained programming and linearization technique to reformulate the initial model. …”
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Modeling Energy Communities: A Case Study of Quantum Approximate Optimization on a Superconducting Processor by Mateo Alonso, Guillermo Rubinos Rodriguez, Pablo Diez-Valle, Ana Garbayo, Xela Garcia-Santiago, Gonzalo Blazquez Gil

“…Given the increasing complexity as the problem size grows and the limitations of classical computing methods in addressing it, we study an approach that models the problem using QUBO and solves it applying quantum optimization algorithms. …”
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Assessment of performance metrics for fusion network by Rohan Gupta, Gurpreet Singh, Amanpreet Kaur

“…From the outcome it has been verified that the designed technique is finest in contrast to other alternatives of particle swarm optimization and ant colony optimization Routing overheads of the designed algorithm are reduced in contrast to other methods.…”
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Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Us... by Chaimongkol Pengtem, Saksit Deeum, Amirullah, Hideaki Ohgaki, Sillawat Romphochai, Pimnapat Bhumkittipich, Krischonme Bhumkittipich

“…The multi-objective functions enhance power quality and voltage stability to meet grid code requirements. The proposed method was applied to the IEEE 15-bus system, which is consistent with systems commonly used in remote area communities, under the following scenarios: Case I—random installation of PV-HPP-BESS and PI parameter control of BESS; Case II—optimal location of PV-HP-BESS and PI parameter control of BESS using IPSO; Case III—sudden short circuit of the transmission line in Case II. …”
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A simple 60‐pulse voltage source inverter using voltage reinjection strategy to improve voltage harmonics for high‐power local loads by Saeed Najafpour, Reza Ghandehari

“…According to the results, the proposed method has generated a semi‐sinusoidal voltage waveform with THDV=3.78% in the laboratory.…”
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Portraying heritage corridor dynamics and cultivating conservation strategies based on environment spatial model: an integration of multi-source data and image semantic segmentatio... by Jinliu Chen, Xiaoxin Zhao, Haoqi Wang, Jianxiong Yan, Di Yang, Kong Xie

“…The restoration and optimization of heritage corridors should combine a comprehensive, precise, and people-oriented spatial quality assessment, and the GIS-based ESM analysis method could be an effective decision-making support system.…”
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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

“…This comprehensive toolkit bridges the divide between fuzzy logic theory and practical applications, enabling the rapid development of novel intelligent methods and schemes.…”
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An innovative approach to monitoring non-point source pollution at a field scale: online monitoring system for continuous cropping with a serial pipeline by Peipei FENG, Gaofei YIN, Qingyi ZHU, Tongyang LI, Bin XI, Xiaoyuan XU, Huiqing JIAO, Hongda WEN, Lingling HUA, Wenchao LI

“…Although the established method, field experiment plots, was used effectively in the first and second national pollution source census in China. …”
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Phase Estimation Using an Optimization Algorithm to Improve Ray-Based Blind Deconvolution Performance by Wonjun Yang, Dong-Gyun Han

“…This paper proposes a method to improve RBD performance by estimating the phase of the source waveform using an optimization algorithm. …”
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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

“…Ensuring precise control over melt density is imperative for achieving desired product characteristics and maintaining process stability in polymer blending operations.Methods The research proposes a novel methodological framework that integrates multi-source data fusion with a convolutional long short-term memory (LSTM) neural network architecture to address this challenge. …”
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Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions by Xuxin Zhang, Jingjun Lou, Jinfang Lu, Ronghua Li, Shijian Zhu

“…The results show that the proposed method can effectively reconstruct the sound pressures of elongated sources and perform robustly across a wide frequency range. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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Development and validation of microwave-assisted extraction for phenolic compound profiling in diverse oyster mushrooms (Pleurotus spp.) sourced from various geographical regions by M Umar Harun, Miguel Palma, Widiastuti Setyaningsih

“…This study aimed to develop and validate a microwave-assisted extraction (MAE) method for profiling phenolic compounds in a diverse selection of oyster mushrooms (Pleurotus spp.) sourced from multiple geographical regions. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…The proposed method is capable of dynamically integrating and leveraging multi-source sample datasets, effectively addressing the challenges of sample data scarcity, label inconsistencies, and data structure disparities. …”
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Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control by Muhammed Cavus

“…However, this method is not optimal. On the contrary, switched rule-based control (S-RBC) is a more effective and advanced method to control an MG than other control techniques. …”
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Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts by Infanta Eden M., Umashankar Vetrivel

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Selecting Energy-Efficient LED Retrofits with Optimal Color Qualities for New and Refurbished Buildings by Irena Fryc, Maciej Listowski, Robert Supronowicz, Christophe Martinsons

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Fermented Deproteinized Alfalfa Juice Modified with Fly Ash Filtrate as an Alternative Nutrient Source for Winter Wheat (<i>Triticum aestivum</i> L.) by Péter Makleit, Andrea Kovács Balláné, Nóra Bákonyi, Éva Domokos-Szabolcsy, Gábor Miklós Fári, Szilvia Veres

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