MRA-YOLOv8: A Network Enhancing Feature Extraction Ability for Photovoltaic Cell Defects by Nannan Wang, Siqi Huang, Xiangpeng Liu, Zhining Wang, Yi Liu, Zhe Gao

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Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning by Wenbo Li, Libo Liu, Yiding Chen, Zhuowei Xiao, Huijun Le, Ruilong Zhang

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Improving phenolics extractability from pomegranate seed meal applying roasting and cold plasma pretreatment; their application in mayonnaise as antioxidant and antimicrobial agent... by Leila Ghasemi-Nezhad, Sayed Amir Hossein Goli, Sabihe Soleimanian-Zad

“…Statistical analysis revealed significant differences (p < 0.05), demonstrating the extract's ability to delay oxidation.…”
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Phytochemical analysis and antimicrobial activity of Silybum marianum L. via multi-solvent extraction by Nashaat N. Mahmoud, Mohamed T. Selim

“…Antimicrobial tests revealed the extract's ability to inhibit several Gram-positive bacteria (S. aureus ATCC 6538 and B.subtilis ATCC 6633), Gram-negative bacteria (P. aeruginosa ATCC 9027, S. typhimurium ATCC 14028, E. coli ATCC 11229), and eukaryotic strains such as unicellular fungi (C.albicans ATCC 10231). …”
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Wound-healing activity of solvent fractions and antiinflammatory activity of crude extract and solvent fractions of Acokanthera schimperi Schweinf (Apocynaceae) leaves in mice mode... by Workineh Woldeselassie Hammeso, Tesfaye Yimer, Getnet Tadege, Wakuma Wakene Jifar, Dejen Nureye

“…Nothing has been published to date on the anti-inflammatory properties of A. schimperi leaves or the wound-healing effects of solvent fractions, despite a report on the crude extract's ability to heal wounds being available in the literature. …”
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Phytochemical, In Silico, In Vitro, and In Vivo Research on Piptadeniastrum africanum (Fabaceae) Unveiling Anti‐Stereotypic, Anxiolytic, and Analgesic Effects in a Sodium Valproate... by Ambani Omgba Jeanne Julie, Ngouateu Omer Bébé, Mengue Ngadena Yolande Sandrine, Owona Pascal Emmanuel, Kandeda Kavaye Antoine, Ambamba Akamba Bruno Dupon, Nongni Piebeng Quentin Cicilien, Ngang Nguema Franck Emmanuel, Ngondi Judith Laure, Bilanda Danielle Claude, Dzeufiet Djomeni Paul Désiré

“…DPPH, ABTS, and FRAP tests were performed to assess the extract's ability to neutralize free radicals. Molecular docking was utilized to evaluate the extract's binding to various receptors. …”
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Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising by Zihao Chen, Alex Noel Joseph Raj, Vijayarajan Rajangam, Wei Li, Vijayalakshmi G.V. Mahesh, Zhemin Zhuang

“…With shallow conventional neural networks, the feature extraction ability is not profound. While employing deeper networks, network performance improves with the cost of additional computational requirements. …”
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RSTD-YOLOv7: a steel surface defect detection based on improved YOLOv7 by Hongru Song

“…This enhancement improves the extraction ability to capture deep information concealed within the feature maps, reduces feature loss, and improve the ability of feature detection. …”
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YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

“…By introducing a parallel attention mechanism, we enhance the feature extraction ability of the algorithm. Finally, we replace the original backbone network of YOLOv8 with the MogaNet network. …”
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Hydrothermal Extraction of Cellulose from Sugarcane Bagasse for Production of Biodegradable Food Containers by Adisak Jaturapiree, Thanunya Saowapark, Kanjarat Sukrat, Ekrachan Chaichana

“…Hydrothermal extraction with the alkali solvent demonstrated higher cellulose extraction abilities (67.7–74.0%) than those with the acids (52.5–57.3%). …”
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Vibration area localization and event recognition for underground power optical cable in multiple laying scenarios based on deep learning by Wanchang Jiang, Chunzhen Li, Wenlong Zhang, Chunying Xie

“…PGSD-YOLO combines the YOLOv11 with the multi-scale attention of PMSAM to enhance the feature extraction ability. Through the dynamic sampling strategy of DySample, the information loss of signals is reduced, and GSConv and VoVGSCSP are used to optimize feature fusion. …”
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Key technology research and model validation of text classification system based on deep learning by Shaomin WANG, Di YANG, Hua REN

“…Text classification is very important to text data mining and value exploration.The traditional text classification system has problems of weak feature extraction ability and low classification accuracy.Compared with the traditional text classification technology,deep learning technology has many advantages such as high accuracy and effective feature extraction.Therefore,it is necessary to apply deep learning technology to the text classification system to solve the problems of the traditional text classification system.The traditional text classification system was analyzed,and the architecture and key technologies of text classification system based on deep learning were proposed.Finally,several classification models were verified and compared,including the traditional classification model,TextCNN and CNN+LSTM.…”
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PREDICTION OF CUTTING LOAD OF DRUM SHEARER BASED ON DEEP BELIEF NETWORK by MAO Jun, GUO Hao, CHEN HongYue

“…The test results show that the proposed method is suitable for predicting the load of the spiral drum of coal miner,which has strong characteristic extraction ability and better performance than BP neural network.…”
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Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD by Bin Zhang, Shuqi Fang, Zhixi Li

“…First of all, the multiscale receptive field module is embedded into the backbone network of the algorithm to improve the feature extraction ability of the model. Secondly, the interlayer feature fusion strategy of bidirectional feature pyramid in PANet (path aggregation network) is integrated into the model. …”
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Transfer Learning for Induction Motor Health Monitoring: A Brief Review by Prashant Kumar

“…These sophisticated deep learning algorithms have been widely used for induction motor health monitoring due to their autonomous feature extraction abilities and end-to-end learning capabilities. …”
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Research on Vehicle Lane Change Intent Recognition Based on Transformers and Bidirectional Gated Recurrent Units by Dan Zhou, Yujie Chen, Kexing Fan, Qi Bai, Yong Luo, Guodong Xie

“…In order to quickly and accurately identify the lane changing intention of vehicles, and to deeply consider the time series characteristics of vehicle driving processes and the interactive effects between vehicles, a lane changing intention recognition model, namely, Model_TA, was constructed by combining the time series feature extraction ability of the encoder in the Transformer model, the bidirectional gating mechanism of the bidirectional gated recurrent unit, and the additive attention mechanism. …”
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Deep Contextual Structure and Semantic Feature Enhancement Stereo Network by Guowei An, Yaonan Wang, Kai Zeng, Qing Zhu, Xiaofang Yuan, Yang Mo

“…To address the blur in thin structure regions and the dilation in depth discontinuity regions, the contextual structure enhancing module is proposed to enhance the extraction ability for local contextual features of the feature extraction network. …”
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An Edge Recognition Method for Insulator State Based on Multi-dimension Feature Fusion by Dongmei HUANG, Yueqi WANG, Anduo HU, Jinzhong SUN, Shuai SHI, Yuan SUN, Lingfeng FANG

“…Traditional insulator state recognition methods have such problems as poor real-time performance and insufficient feature extraction ability. Based on the idea of edge computing, this paper proposes a method for recognizing the insulator state based on multi-dimension feature fusion. …”
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Constructing 3D Object Detectors Based on Deformable Convolutional Guided Depths by Xinwang Zheng, Guangsong Yang, Lu Yang, Chengyu Lu

“…Additionally, the depth estimation module&#x2019;s feature extraction ability is bolstered by optimizing the depth-guided encoder and incorporating large-kernel depthwise separable convolutions alongside a spatial attention mechanism. …”
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Synthesis of Mesoporous Silica Imprinted Salbutamol with Two TEOS/MTES Ratio Compositions through the Direct Incorporation Method for Salbutamol Separation by Ike Susanti, Mutakin Mutakin, Aliya Nur Hasanah

“…The adsorption capacity of MIPMS-2 was about 0.0934 mg/g, and it was 0.0407 mg/g for NIPMS-2. The extraction ability of MIPMS-2 was good, with a recovery of about 104.79% ± 1.01% of salbutamol in spiked serum. …”
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