Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

“…The recognition of Dongba pictographs presents significant challenges due to the pitfalls in traditional feature extraction methods, classification algorithms’ high complexity, and generalization ability. This study proposes a convolutional neural network (CNN)-based image classification method to enhance the accuracy and efficiency of Dongba pictograph recognition. …”
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Improved YOLOv10n model for enhanced cotton recognition in complex environments by Yutao Gong, Wenwen Ding, Nenghui Huang, Tao Li, Juntao Zhou

“…Accurate and efficient identification of cotton boll states is crucial for mechanical and intelligent cotton harvesting. …”
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A question-answering framework for geospatial data retrieval enhanced by a knowledge graph and large language models by Hao Li, Peng Yue, Haoru Wu, Baoxin Teng, Yongkun Zhao, Changfeng Liu

“…The rapid advancement of Earth observation technologies has resulted in an explosive growth of geoscientific data. Efficient retrieval of such data is essential but often challenging, especially for non-experts, due to decentralized data sources and limited semantic support in existing portals. …”
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Synchronization Optimization Model Based on Enhanced Connectivity of New Energy Vehicle Supply Chain Network by Haiwei Gao, Xiaomin Zhu, Binghui Guo, Yifan Cao, Haotian Wang, Xiaohan Yu, Xiaobo Yang

“…Through network topology analysis and parameter optimization, we demonstrate significant improvements in supply chain efficiency and resilience. The practical application of this research lies in its ability to provide actionable insights for supply chain management. …”
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An AI-Based Horticultural Plant Fruit Visual Detection Algorithm for Apple Fruits by Bin Yan, Xiameng Li, Rongshan Yan

“…The Depthwise Separable Convolution (DWConv) module has many advantages: (1) It has high computational efficiency, reducing the number of parameters and calculations in the model; (2) It makes the model lightweight and easy to deploy in hardware; (3) DWConv can be combined with other modules to enhance the multi-scale feature extraction capability of the detection network and improve the ability to capture multi-scale information; (4) It balances the detection accuracy and speed of the model; (5) DWConv can flexibly adapt to different network structures. …”
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Eco-friendly corrosion inhibitor chitosan methionine for carbon steel in 1 M hydrochloric acid solution: experimental and theoretical approach by S. F. Hamza, Seham Shahen, Amal M. Abdel‑karim, Ahmed A. El-Rashedy, Amira M. Hyba

“…Consequently, many researchers are focused on developing efficient, cost-effective materials to protect metals. …”
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Overexpression of HmWOX8 promotes callus proliferation and shoot regeneration by regulating hormone signaling and shoot development-related genes by Xueying Zhao, Along Chen, Zhicong Gao, Fazhan Hou, Yajun Chen, Yingzhu Liu

“…Transcriptome analysis revealed that HmWOX8 enhances the efficiency of callus proliferation and shoot regeneration through two different ways of regulation, including hormone signaling pathways and shoot development-related genes. …”
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Automated Control System for Drum-Type Biofermenter by A. Yu. Briukhanov, E. V. Vasilev, S. A. Egorov

“…Modern production increasingly relies on the implementation of automated control systems to improve the efficiency, precision, and safety of technological processes. …”
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Harmonics Elimination of Reduced Switch Multilevel Inverter Using Henry Gas Solubility Optimization Algorithm by Murni Nabila Mohd Zawawi, Zainuddin Mat Isa, Baharuddin Ismail, Mohd Hafiz Arshad, Ernie Che Mid, Md Hairul Nizam Talib, Muhammad Fitra Zambak

“…This study introduces a pioneering method to enhance the efficiency and effectiveness of three-phase five-level reduced switch cascaded H-bridge multilevel inverters (CHB MLI) by employing the Henry Gas Solubility Optimization (HGSO) algorithm. …”
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Spatial-Channel Multiscale Transformer Network for Hyperspectral Unmixing by Haixin Sun, Qiuguang Cao, Fanlei Meng, Jingwen Xu, Mengdi Cheng

“…In addition, a multiscale multi-head self-attention (MMSA) module is designed to extract rich multiscale global contextual and channel information, enabling a balance between accuracy and efficiency. An efficient feed-forward network (E-FFN) is further introduced to enhance inter-channel information flow and fusion. …”
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Insights into the role of electrolytes in slurry performance for photoelectrochemical mechanical polishing of GaN wafers by Yuewen Sun, Zhigang Dong, Jihao Zhang, Jiajian Feng, Renke Kang, Shang Gao

“…Due to its strong chemical stability, the chemical mechanical polishing (CMP) efficiency of GaN is extremely low. Photoelectrochemical mechanical polishing (PECMP) has proven effective for efficient, high-quality GaN polishing. …”
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Green Synthesis of Co3O4/AC Nanocomposite using Bryophyllum pinnatum Leaf Extract for Enhanced Photodegradation of Malachite Green Dye by Sumaiyya Patel, Dinesh Hase, Kanhaiyalal Bhavsar, Vaishali Murade, Gajanan* Pandhare

“…Thus, the photocatalytic performance of Co3O4/AC nanocomposites revealed the efficient degradation of malachite green dye.…”
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Identification of Lr-genes in the breeding lines of spring soft wheat, tolerant to the pathogen of brown rust in the Central Black earth region by Yu. V. Zeleneva, V. V. Plakhotnik, V. P. Sudnikova

“….: 8(4752)62-90-60, e-mail: tmbsnifs@mail.ru) Identification of Lr-genes in the breeding lines of spring soft wheat, tolerant to the pathogen of brown rust in the Central Black earth region The research showed that the direct introduction of the donors of other regions into the breeding process do not always give a desired result because of the weak adaptive ability of the following generations. The development of highly efficient genetic sources and donors adapted to the regional conditions and possessing a complex of positive traits and properties (e.g. group and/or complex tolerance to stress factors of environment) is of special importance, in order not to damage the balance of associated genes among wheat varieties in the CNeR and to increase breeding results. …”
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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

“…The wind farm layout optimization problem (WFLOP) aims to maximize wind energy utilization efficiency and mitigate energy losses caused by wake effects by optimizing the spatial layout of wind turbines. …”
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PSCDR-BMPNet: A Point-Supervised Contrastive Deep Regression Network for Point Cloud Biomass Prediction by Yi Wang, Hao Peng, Cheng Ouyang, Ruofan Zhang, Mingyu Tan, Wenwu Hu, Pin Jiang

“…Accurate assessment of above-ground biomass (AGB) is essential for optimizing crop growth and enhancing agricultural efficiency. However, predicting above-ground biomass (AGB) presents significant challenges. …”
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Deep Learning-Based Diagnosis Algorithm for Alzheimer’s Disease by Zhenhao Jin, Junjie Gong, Minghui Deng, Piaoyi Zheng, Guiping Li

“…In recent years, the integration of cutting-edge medical imaging technologies with forefront theories in artificial intelligence has dramatically enhanced the efficiency of identifying and diagnosing brain diseases such as AD. …”
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Catalytic Performance of Iron-Based Oxygen Carriers Mixed with Converter Steel Slags for Hydrogen Production in Chemical Looping Gasification of Brewers’ Spent Grains by Miao Yuan, Huawei Jiang, Xiangli Zuo, Cuiping Wang, Yanhui Li, Hairui Yang

“…The results showed that when the weight ratio of the CSSs in composite OCs was 0.5, the relative volume fraction of hydrogen reached the maximum value of 49.1%, the product gas yield was 0.85 Nm³/kg and the gasification efficiency was 64.05%. It could be found by X-ray diffraction patterns and scanning electron microscope characterizations that the addition of CSSs helped to form MgFe₂O₄, which are efficient catalysts for H₂ production. …”
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Photoelectrochemical Biosensor Based on 1D In₂O₃ Tube Decorated with 2D ZnIn₂S₄ Nanosheets for Sensitive PSA Detection by Huihui Shi, Jianjian Xu, Yanhu Wang

“…In photoelectrochemical (PEC) biosensing, efficient electron-hole separation is crucial to obtain preferred photocurrent response and analytical performance; thus, constructing developed heterointerfaces with high carrier transfer efficiency is an effective method for sensitive evaluation of analytes. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…The refined Particle Swarm Optimization algorithm is applied to optimize the parameters of the BiLSTM network, enabling a rapid convergence and enhancing the training efficiency, thus effectively identifying the categories of network attacks. …”
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Enhancing data reuse in tunnelling site investigation through transfer learning-based historical data mining by Jiawei Xie, Baolin Chen, Shui-Hua Jiang, Hongyu Guo, Si Xie, Jinsong Huang

“…Transfer learning with pre-trained deep learning models is employed to compress tunnel face images into compact, lower-dimensional vectors, enabling efficient similarity searches. This transformation converts geological information into comparable vectors, enhancing the efficiency and speed of data searches. …”
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