Advanced Deep Learning Approach for Smart Home Appliance Identification Using Recurrent Neural Networks with LSTM by Sana Abdelaziz Bkheet, Johnson I. Agbinya, Gamal Saad Mohamed Khamis

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MFFSNet: A Lightweight Multi-Scale Shuffle CNN Network for Wheat Disease Identification in Complex Contexts by Mingjin Xie, Jiening Wu, Jie Sun, Lei Xiao, Zhenqi Liu, Rui Yuan, Shukai Duan, Lidan Wang

“…To address these challenges, this study proposes a multi-scale feature fusion shuffle network model (MFFSNet) for wheat disease identification from complex environments in the field. …”
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Characterization of full-length long noncoding RNAs and identification of virus-responsive lncRNAs in Sogatella furcifera by Yawen Ban, Yawen Ban, Ting Cui, Ting Cui, Lifei Zhao, Lifei Zhao, Xue Li, Xue Li, Qing Bai, Qing Bai, Qingfa Wu, Qingfa Wu

“…Here, we present a comprehensive identification and characterization of full-length lncRNAs in the white-backed planthopper (Sogatella furcifera), a major rice pest and efficient vector of Southern rice black-streaked dwarf virus (SRBSDV). …”
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Zoning and Identification of Factors Affecting Illegal Livestock Grazing in Golestan National Park Using Logistic Regression by Meysam Madadi, HamidReza Rezaei, Alireza Mohammadi, Bagher Nezami Balochi, Maryam Shahbazi

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A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images by Mudan Zhang, Xinhuan Sun, Wuchao Li, Yin Cao, Chen Liu, Guilan Tu, Jian Wang, Rongpin Wang

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Active and Inactive Tuberculosis Classification Using Convolutional Neural Networks with MLP-Mixer by Beanbonyka Rim, Hyeonung Jang, Hongchang Lee, Wangsu Jeon

“…Our model architecture incorporated an EfficientNet backbone with an MLP-Mixer classification head and was fine-tuned on a dataset annotated by Cheonan Soonchunhyang Hospital. …”
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Smart Sports Recruitment: Leveraging Software for Talent Precision by Muhammad Ramli Buhari, Jance Jacob Sapulete, Muhammad Imran Hasanuddin, Susilawati Susilawati

“…The development method consists of the following stages: (1) performing needs analysis through surveys and interviews, (2) designing a talent identification model with a flow diagram, (3) developing a talent identification model using the Entity-Relationship Model, (4) testing the validity of the model by material and media experts using the Content Validity Index, and (5) conducting field trials with battery tests and anthropometric measurements. …”
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A Satellite Individual Identification Method Based on a Complex-Valued Conditional Generative Adversarial Network by Jun He, Can Xu, Canbin Yin, Pengju Li, Jishun Li, Shuailong Zhao, Yasheng Zhang

“…With the help of specific emitter identification (SEI), the control efficiency of the satellite communication systems can be effectively improved by discriminating the individual satellite. …”
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Identification of time-varying parameters of a monthly Budyko function in US MOPEX catchments and its implications by Weibo Liu, Pan Liu, Lei Cheng, Xiaojing Zhang, Liting Zhou

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Prediction of groundwater level and potential zone identification in Keonjhar, Odisha based on machine learning and GIS techniques by B. Ritushree, Shubhshree Panda, Abinash Sahoo, Sandeep Samantaray, Deba P Satapathy

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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning by Keyue Yan, Chi-Fai Lam, Simon Fong, João Alexandre Lobo Marques, Richard Charles Millham, Sabah Mohammed

“…This selection allows us to classify and analyze gestures more efficiently, thereby improving models’ performance and interpretability. …”
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Damage Identification of Conduit Rack in Offshore Platform Structures Based on a Novel Composite Neural Network by Jiaqiang Yan, Yuanchao Qiu, Renhe Shao, Ziqiao Ling, Ruixiang Zhang

“…Experimentally validated by finite element model simulation and testbed construction, our proposed NRBO-TCN-BiLSTM combined neural network damage identification accuracy is as high as 99 % on average, exceeding existing deep learning methods. …”
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From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices by Yinghui Liu, Haitao Liu, Linlan Li, Ying Ding

“…Meanwhile, we innovatively integrate both channel attention (SE modules) and spatial attention into ResNet50 and YOLOv8 architectures, respectively, to enhance the model’s ability to capture discriminative features of Acorus slices and provide a novel solution for real-time mixed-state detection.Compared to the baseline models, the SE module enhanced the classification accuracy of ResNet50 by 1.7%, while the spatial attention module improved the mAP50 of YOLOv8 by 1.2%, demonstrating the effectiveness of attention mechanisms in fine-grained identification of Chinese herbal materials.This study successfully applied deep learning technology to the classification and object detection of TCM decoction pieces, providing an effective means for intelligent identification and management of Chinese medicinal materials.…”
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Identification and Redevelopment of Inefficient Industrial Land in Resource-Exhausted Cities: A Case Study of Hegang, China by Yanping Qi, Yinghui Zhao, Jingpeng Guo, Yuwei Wang

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Applications of machine learning in potentially toxic elemental contamination in soils: A review by Yan Li, Bao Xiang, Tianyang Wang, Yinhai He, Xiaoyang Liu, Yancheng Li, Shichang Ren, Erdan Wang, Guanlin Guo

“…Moreover, ML techniques incorporated with receptor models provide important advances in the quantitative identification and apportioning of PTE sources, thereby supporting effective environmental management and risk assessment. …”
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Failure thresholds and weak part identification in cascade reservoir system: A risk-based optimization framework by Haibin Wang, Jiahong Liu, Chao Mei, Jia Wang, Tianxu Song

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Urban fabric decoded: High-precision building material identification via deep learning and remote sensing by Kun Sun, Qiaoxuan Li, Qiance Liu, Jinchao Song, Menglin Dai, Xingjian Qian, Srinivasa Raghavendra Bhuvan Gummidi, Bailang Yu, Felix Creutzig, Gang Liu

“…Precise identification and categorization of building materials are essential for informing strategies related to embodied carbon reduction, building retrofitting, and circularity in urban environments. …”
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Research on multi class pests identification and detection based on fusion attention mechanism with Mask-RCNN-CBAM by Xingwang Wang, Xingwang Wang, Xingwang Wang, Can Hu, Xufeng Wang, Hainie Zha, Xueyong Chen, Shanshan Yuan, Jing Zhang, Jianfeng Liao, Zhangying Ye

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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…This paper proposes a method for monitoring and analyzing driver physiological characteristics by combining electronic vehicle identification (EVI) with multimodal biometric recognition. …”
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Enhancing wind turbine blade damage detection with YOLO-Wind by Zhao Zhanfang, Li Tuo

“…Cross-dataset evaluations validate the model’s robustness and adaptability, with 15.2–16.3% mAP@0.5 improvements in blade damage detection and a 3.1% accuracy gain in agricultural defect identification. …”
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