Real-time active cell balancing using QPSO-controlled switched capacitor and transformer methods by S. Ida Evangeline, B. Subashini

“…The QPSO algorithm optimizes balancing strategies in real time, reducing computational load while achieving faster convergence and energy efficiency. …”
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Research on accuracy enhancement methods for highway slope deformation monitoring based on the BeiDou system. by Yuhong Luo, Geyu Chen

“…By introducing a real-time error correction mechanism, the proposed method significantly reduces the impact of multipath effects on positioning accuracy and deformation monitoring precision. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…Particularly， tail risks triggered by extreme weather and the dynamic mismatches between stochastic RE fluctuations and conventional unit regulation rates invalidate conventional deterministic scheduling models reliant on typical scenarios. [Methods] To address this， this paper first constructs RE generation scenarios using Latin hypercube sampling （LHS） and modified k-means clustering， verifying their reserve feasibility， while transforming reserve-infeasible scenarios into extreme scenario sets. …”
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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…The proposed method employs Dung Beetle Optimization (DBO) with Deep Learning, simulating the beetle’s foraging behavior to optimize feature selection and classification performance. …”
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Encryption Algorithm MLOL: Security and Efficiency Enhancement Based on the LOL Framework by Xinyue Zhang, Daoguang Mu, Wenzheng Zhang, Xinfeng Dong

“…Authenticated encryption with associated data (AEAD) schemes based on stream ciphers, such as ASCON and MORUS, typically use nonlinear feedback shift registers (NFSRs) and linear feedback shift registers (LFSRs) to generate variable-length key streams. While these methods ensure message confidentiality and authenticity, they present challenges in security analysis, especially when automated evaluation is involved. …”
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Blockchain-based heterogeneous resource configuration scheme in computing power network by Qiang Gao, Chunyu Liu, Lei Wang, Yiqing Liu, Yueqiang Xu

“…To validate the effectiveness of our proposed solution, we compare it with several baseline approaches, including those based on Particle Swarm Optimization (PSO) and reinforcement learning methods such as Proximal Policy Optimization (PPO). …”
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Impact of soaking and cooking of soya (Glycine max L.) on the protein and oxalate content by Thales Djeuben Dongmo, Noel Mangatchaoussou, Aymar Rodrigue Fogang Mba, Nicolas Policarpe Nolla, Marlyne-Josephine Mananga, Fabien Fabrice Dongho Dongmo, Stephano Tambo Tene, Jules Christophe Manz Koule, Ulrich Fohouo Talla, Marlene Youogo, Yanick Owono, Hygride Dongmo, Julien Nedion Nadjimbaye, Marie Modestine Kana Sop

“…The soya flours obtained were characterised for protein and oxalate content using standard methods. The optimal samples were also characterised. …”
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Novel channel attention-based filter pruning methods for low-complexity semantic segmentation models by Md. Bipul Hossain, Na Gong, Mohamed Shaban

“…Until recently, few methods have been introduced for optimizing or pruning of the parameters of the semantic segmentation models. …”
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The evaluation of the effects before and after the establishment of a one-stop intravitreal injection center by HUANG Xuelian, YI Jingsheng, LIU Xiuru, FENG Dongping, TANG Ruqing

“…The control group followed the routine day surgery process, while the observation group established a one-stop intravitreal injection center to optimize the diagnosis, treatment, and nursing service process. …”
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Large-Scale Transmission Expansion Planning with Network Synthesis Methods for Renewable-Heavy Synthetic Grids by Adam B. Birchfield, Jong-oh Baek, Joshua Xia

“…Network synthesis methods, that is, heuristic-based techniques for building synthetic electric grid models based on complex network properties, have been developed in recent years and have the capability of balancing multiple aspects of power system design while efficiently considering large numbers of candidate lines to add. …”
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Research on water quality prediction of Jiangshan Port based on SCV-CBA model by Yiting Xu, Zhaoju Liu

“…CNN was employed to capture spatial patterns in the data, while BiLSTM network modelled temporal dependencies. …”
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Synthesis of Silver Nanoparticles Using Azadirachta indica Leaf Extracts for Heavy Metal Sensing by Abidemi Mercy Babatimehin, Gabriel Olukayode Ajayi, Oyebola Elizabeth Ogunbamowo, Ali El-Rayyes, Lamia A. Albedair, Amnah Mohammed Alsuhaibani, Edwin Andrew Ofudje

“…Silver nanoparticles (AgNPs) was synthesized via cheap bio-reduction and green method from leaf extracts of Azadirachta indica. The technique was optimized by studying variables such as  pH, temperature and concentration of the plant extracts. …”
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Automated Design Method Based on Boosting Algorithms for Improving the Radiation Performance of Microstrip Antenna Arrays by Sina Hasibi Taheri, Ali Lalbakhsh, Amirhassan Zareanborji, Slawomir Koziel

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Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers by Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi

“…Code is available at https://github.com/arafet/Text-annotation-using-rule-based-method-and-Transformers.…”
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Cosmological Simulations with Massive Neutrinos: Efficiency and Accuracy by Bing-Hang Chen, Jun-Jie Zhao, Hao-Ran Yu, Yu Liu, Jian-Hua He, Yipeng Jing

“…We explore the necessity of correcting the expansion history caused by massive neutrinos and the transition between relativistic and non-relativistic components. The above method of including neutrino masses is built into the memory-, scalability-, and precision-optimized parallel <i>N</i>-body simulation code CUBE 2.0. …”
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Neuroprotective Mechanisms of <i>Red Algae</i>-Derived Bioactive Compounds in Alzheimer’s Disease: An Overview of Novel Insights by Tianzi Wang, Wenling Shi, Zijun Mao, Wei Xie, Guoqing Wan

“…Emerging extraction technologies—including microwave- and enzyme-assisted methods—have been shown to optimize the yield and maintain the bioactivity of these compounds. …”
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A novel similarity-constrained feature selection method for epilepsy detection via EEG signals by Chunlei Shi, Jun Gao, Jian Yu, Lingzhi Zhao, Faxian Jia

“…Then, an optimization problem for feature selection is formulated by enhancing intra-class similarity and reducing inter-class similarity. …”
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Towards Intelligent Unmanned Adversarial Games: A Reinforcement Learning Framework with the PHP-ROW Method by Guoqing Shi, Yi Cao, Dinghan Wang, Qiming Yang, Jiandong Zhang, Zhuoyong Shi

“…The superiority of the PHP-ROW method is showcased by contrasting it against the conventional proximal policy optimization (PPO) algorithm. …”
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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

“…However, traditional theoretical formulas and experimental methods suffer from limitations such as low accuracy and individual variability. …”
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Distributed Frequency Regulation Method for Power Grids Considering the Delayed Response of Virtual Power Plants by Jun Qi, Anning Ying, Bohang Zhang, Dan Zhou, Guoqing Weng

“…Operating under a 30 ms communication delay, the TDC-DMPC reduces frequency deviations by 30.5% and 18.8% compared to conventional DMPC and sequence-selective DMPC (SS-DMPC), respectively, while reducing the stabilisation time to 0.4 s—a fivefold improvement over the conventional method’s 2.2 s. …”
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