Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…Balancing between model detection performance and efficiency poses many challenges. …”
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Surface Electromyography Monitoring of Muscle Changes in Male Basketball Players During Isotonic Training by Ziyang Li, Bowen Zhang, Hong Wang, Mohamed Amin Gouda

“…The experimental results show that the F12B feature group consistently achieved an accuracy of between 80% and 90% with the SVM2 model, balancing both accuracy and efficiency, which can serve as evaluation indices for isotonic contraction performance of upper limb muscles during basketball training. …”
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Machine Learning Models for the Classification of Histopathological Images of Colorectal Cancer by Nektarios Georgiou, Pavlos Kolias, Ioanna Chouvarda

“…Additionally, this study investigated the use of feature extraction techniques to derive meaningful data from the images, contributing to a more nuanced understanding of cancerous tissues, comparing the performance of different image classification algorithms in the context of colon cancer image analysis. …”
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An advanced three stage lightweight model for underwater human detection by Zichen Liao, Kai Hu, Yuancheng Meng, Shuai Shen

“…The model maintains robust performance across various underwater conditions, including poor visibility, varying illumination, and biological interference. …”
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Semantics-Assisted Training Graph Convolution Network for Skeleton-Based Action Recognition by Huangshui Hu, Yu Cao, Yue Fang, Zhiqiang Meng

“…This approach effectively improves recognition accuracy while reducing the number of model parameters. In addition, angle features are incorporated into the skeleton model input to aid in classifying similar actions. …”
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Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card by Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun Chen

“…Finally, a calculation model of inflow performance relationship fitted with the calculated fluid production and bottom hole flowing pressure data based on genetic algorithm is established to realize calculation of oil well inflow performance relationship curve. …”
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A New Computer-Aided Diagnosis System for Breast Cancer Detection from Thermograms Using Metaheuristic Algorithms and Explainable AI by Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane

“…The results of our experiments demonstrate in all trials that the performance of the model is improved. With HSMO, our models achieved an accuracy of 98.27% and F1-score of 98.15% while selecting only 25.78% of the HOG features. …”
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Limitations of XGBoost in Predicting Material Parameters for Complex Constitutive Models by Prates Pedro, Mitreiro Dário, Andrade-Campos António

“…While effective for simple constitutive models like Hill′48, their performance declines with more complex models such as the Cazacu-Plunckett-Barlat yield criterion. …”
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Federated Learning Model Using CBDPL for Medical Image Segmentation by K. Hemalatha, Shradhanjali Das

“…Our study proposes a novel methodology for medical image segmentation that leverages semi-supervised learning and confidence-based dynamic pseudo-labeling (CBDPL) to enhance model performance with limited labeled data. Each participating client site independently performs feature extraction and basic segmentation tasks. …”
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A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

“…In addition, an artificial bee colony (ABC) algorithm is used to optimize model performance by adjusting the parameters of SVR. …”
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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…This paper proposes a new method based on the Gaussian Mixture Model (GMM): First, we use the GMM to decompose data samples of the same category to obtain Gaussian coefficients and take the product of the probability coefficient and the weight matrix as the feature matrix. …”
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Cisplatin and lipopolysaccharide co-administration for renal injury model in mice by Sae-Byeok Hwang, Soon-Suk Kang, Yeonmi Lee, Eunju Kang

“…Histological evaluations in the 10 mg/kg cisplatin group administered for two weeks showed renal injury features, including tubular damage and fibrosis. Conclusions: Administering cisplatin (10 mg/kg) with LPS for two weeks or cisplatin (8 mg/kg) with LPS for four weeks resulted in a distinct renal injury, effectively establishing a renal injury mouse model.…”
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Penerapan Importance Performance Analysis (IPA) pada Evaluasi Keberlanjutan Penggunaan e-filing untuk Pelaporan Pajak Perorangan by Imelda Saluza, Dewi Sartika

“…There are many invalid manifestations based on the evaluation performance, including invalid fulfillment and defective manifest features. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…The results demonstrate a significant advantage of language model-enhanced edge factor mining framework in improving the performance of various GNN models.…”
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Finite element modeling of asymmetric expansion using ATOZTM expander. by Abdelhak Ouldyerou, Peter Ngan, Khaled Alsharif, Ali Merdji, Osama M Mukdadi

“…Model I featured symmetrical suture maturation (stage B), and Model II with asymmetrical suture maturation, particularly more mature zygomatic sutures on the right side (Stage C). …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…The results demonstrate a significant advantage of language model-enhanced edge factor mining framework in improving the performance of various GNN models.…”
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Deep Learning-Based Acoustic Recognition of UAVs in Complex Environments by Zhongru Liu, Kuangang Fan, Yuhang Chen, Lizhi Xiong, Jingzhen Ye, Aigen Fan, Hengheng Zhang

“…Aiming at the recognition difficulties caused by the overlap of UAV sound and the background noise spectrum in low signal-to-noise ratio environments, this study proposes an improved lightweight ResNet10_CBAM deep learning model. The optimal performance of MFCC in low SNR environments is verified by comparing three feature extraction methods, Spectrogram, Fbank, and MFCC. …”
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River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…Building upon this foundation, we introduce the LR-DETR, a lightweight evolution of RT-DETR for river floating object detection. This model incorporates the High-level Screening-feature Path Aggregation Network (HS-PAN), which refines feature fusion through a novel bottom-up fusion path, significantly enhancing its expressive power. …”
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A Machine Learning Approach Towards the Quality Assessment of ECG Signals Collected Using Wearable Devices for Firefighters by Camila Abreu, Hugo Plácido da Silva

“…Such a validation exercise demonstrated how well the model performs for the assessment of signal quality in such dynamic, high-stress scenarios.…”
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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…In addition, the model’s anti-interference performance was tested under various extreme conditions. …”
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