Crystal structures of trans-dibromidobis(3,5-lutidine)gold(III) tribromide and three 3,5-lutidinium salts containing tetrabromidoaurate(III) anions (including three cases of polymo... by Cindy Döring, Peter G. Jones

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Indigenous chicken market participation and smallholder farmers’ well-being outcomes in Chiredzi and Mwenezi Districts of Zimbabwe by Joseph Manzvera, Edward Mutandwa, Tererai Katema, Jayne Stack, Doreen Tirivanhu

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A three parallel branches harmonic model with adaptive capability of operating state variation by Youhang Yang, Shaorong Wang, Jiaxuan Ren, Yao Guo, Siyuan Chen, Mingming Shi, Xian Zheng

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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

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Synthesis of carbon fiber reinforced SiC aerogel composites with enhanced mechanical and antioxidant properties for high temperature insulation by Chunxue Zheng, Jie Yu, Xinyang Li, Jingbo Duan, Zhulin Huang, Ming Li, Xiaoye Hu, Yue Li

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Crystal structure and Hirshfeld surface analyses, crystal voids, interaction energy calculations and energy frameworks of (E)-2-[(pyren-1-ylmethylidene)amino]ethanol by Naser E. Eltayeb, Tuncer Hökelek, Jamal Lasri

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Potato Late Blight Outbreak: A Study on Advanced Classification Models Based on Meteorological Data by Parama Bagchi, Barbara Sawicka, Zoran Stamenkovic, Dušan Marković, Debotosh Bhattacharjee

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Microwave synthesized and laser activated hyaluronic/polyacrylate/basil seed cloud seeding glaciogenic/hygroscopic nanocomposite by Sholeh Masoomi, Mohammad Mahdi Doroodmand, Fazlolah Eshghi

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NOTE: non-parametric oversampling technique for explainable credit scoring by Seongil Han, Haemin Jung, Paul D. Yoo, Alessandro Provetti, Andrea Cali

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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

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Predicting climate-related compositional shifts in nut-producing species that are important for bears during hyperphagia by José Carlos Pérez-Girón, José Vicente López-Bao, Emilio Díaz-Varela, Pedro Álvarez-Álvarez

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Attention-Driven Hybrid Ensemble Approach With Bayesian Optimization for Accurate Energy Forecasting in Jeju Island’s Renewable Energy System by Muhammad Ali Iqbal, Joon-Min Gil, Soo Kyun Kim

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DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning by Doston Khasanov, Halimjon Khujamatov, Muksimova Shakhnoza, Mirjamol Abdullaev, Temur Toshtemirov, Shahzoda Anarova, Cheolwon Lee, Heung-Seok Jeon

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A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility by Yongxing Lu, Honggen Xu, Can Wang, Guanxi Yan, Zhitao Huo, Zuwu Peng, Bo Liu, Chong Xu

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Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images by Bangxin Xiao, Yang Lv, Canjie Peng, Zongjie Wei, Qiao Xv, Fajin Lv, Qing Jiang, Huayun Liu, Feng Li, Yingjie Xv, Quanhao He, Mingzhao Xiao

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Correction: Qi et al. Development of Mitomycin C-Loaded Nanoparticles Prepared Using the Micellar Assembly Driven by the Combined Effect of Hydrogen Bonding and π–π Stacking and It... by Lingling Qi, Chao Liu, Yingying Zhang, Zheao Zhang, Hongxia Duan, Heming Zhao, Xin Xin, Liqing Chen, Mingji Jin, Youyan Guan, Zhonggao Gao, Wei Huang

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An Introduction to the Influence of Nutritional Factors on the Pathogenesis of Opportunist Fungal Pathogens in Humans by Timothy Jong, Colin M. Stack, Michelle C. Moffitt, Charles Oliver Morton

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Local earthquake response on the submarine communication cable in the northern South China Sea by Hao Li, Xuzhang Shen, Zhaohui Li, Shaoyi Chen

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Recognition of Industrial Spare Parts Using an Optimized Convolutional Neural Network Model by Chandralekha Mohan, Takfarinas Saber, Priyadharshini Jayadurga Nallathambi

“…Image recognition using 2D and 3D image properties plays an important part in the success of such processes, as it facilitates the identification of the types and components associated with spare parts, a step that is crucial for their success. In this article, a novel Deep Learning-based object recognition model based on a convolutional neural network architecture is proposed and constructed using stacked convolutional layers to extract and learn features of the spare parts efficiently with the goal of improving the effectiveness of the spare part image recognition process. …”
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Additively manufactured FeCoNiSi0.2 alloy with excellent soft magnetic and mechanical properties through texture engineering by Yang Yang, Tianhai Liao, Yiwang Jia, Guodong Ding, Jiangping Cao, Xiaojuan Shang, Yaxiong Guo, Qibin Liu

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