Feature Selection-Based Hierarchical Deep Network for Image Classification by Guiqing He, Jiaqi Ji, Haixi Zhang, Yuelei Xu, Jianping Fan

“…Also, the role of useful feature components in multi-level deep features are improved. The experimental results on three datasets show that adding a feature selection module in a hierarchical deep network can perform better performance in large-scale image classification.…”
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Psychomedical named entity recognition method based on multi-level feature extraction and multi-granularity embedding fusion by Zixuan Liu, Guofang Zhang, Yanguang Shen

“…It aims to identify and classify specialized terms in psychomedical texts and provide powerful support for downstream tasks. …”
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Exploiting Data Distribution: A Multi-Ranking Approach by Beata Zielosko, Kamil Jabloński, Anton Dmytrenko

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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

“…Using publicly available 2023 HCAHPS survey data from 52 U.S. states and territories, we applied a follower-leader clustering algorithm (FLCA) implemented in R. Leadership was classified into three types: absolute, relative, and no advantage. …”
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Integrating street view imagery and taxi trajectory for identifying urban function of street space by Mianxin Gao, Haijing Guo, Longwei Liu, Yongyu Zeng, Wenkai Liu, Yefei Liu, Hanfa Xing

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Research Progress on Water Body Phosphorus Removal Technology Based on Aquaculture Tail Water Treatment by Xian LI, Wenjing TIAN, Xiangyu ZHANG, Wenjie XU, Xiaolin LI, Teng MA, Cheng TIAN

“…The pond aquaculture tailwater phosphorus management is also based on bioecological methods, such as 'three ponds and two dams', artificial wetlands, multi-level integrated aquaculture treatment system and other methods to remove phosphorus. …”
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Marine Mammal Call Classification Using a Multi-Scale Two-Channel Fusion Network (MT-Resformer) by Xiang Li, Chao Dong, Guixin Dong, Xuerong Cui, Yankun Chen, Peng Zhang, Zhanwei Li

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Real-time monitoring of water states in large-diameter aqueducts – learning from distributed acoustic sensing signals by Dao-Yuan Tan, Zhen-Yu Tang, Zhen-Rui Yan, Jing Wang, Wei Zhang, Jing-Wu Huang, Peng Wang, Zhiguo Yuan, Huan-Feng Duan, Bin Shi, Hong-Hu Zhu

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multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…</span></p> <p style="text-align: left;"><span style="font-size: 12pt;"><strong><span style="font-family: times new roman, times, serif;">3- Methodology</span></strong></span></p> <p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">Building on the points mentioned, this research is an attempt to design a multi-level supply chain network for urban waste collection and recycling, focusing on source segregation and uncertainty in citizens' per capita waste generation. …”
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