Hierarchical multi-instance multi-label learning for Chinese patent text classification by Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian

“…Next, the concept of secondary_label is introduced following the composition rules of IPC, and the relationships between instances and multiple secondary_labels are mined through the construction of fully-connected layers. To capture more comprehensive semantic information of instances, BIGRU and self-attention are employed to enhance semantics and reduce information loss during the training process. …”
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Coseismic slip distribution and 3D deformation field simulation of the Menyuan Mw 6.7 earthquake in Qinghai based on InSAR constraint by Rui ZENG, Yanan JIANG, Aoxiang YAN, Yan Cheng, Huiyuan LUO

“…To better understand the seismic deformation patterns, this study employs anelastic dislocation model and a viscoelastic half-space layered medium model to simulate the three-dimensional coseismic surface deformation, incorporating more accurate three-dimensional deformation from crustal layered models. …”
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Mountainous Floodplain Connectivity in Response to Hydrological Transitions by Tristan Babey, Zach Perzan, Sam Pierce, Brian Rogers, Lijing Wang, Rosemary W. H. Carroll, John R. Bargar, Kristin Boye, Kate Maher

“…This model provides a framework for quantifying biogeochemical processes in hydrological underflow systems, which is critical for water and elemental budgets in these globally important mountainous ecosystems.…”
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Reliability Allocation Method of NC Servo Tool Rest Based on Improved Comprehensive Factor Method by CHEN Chuanhai, GUO Jinyan, LIU Mingying, LIU Zhifeng, YANG Zhaojun, QI Baobao

“…Aiming at the uncertainty caused by independent consideration of influencing factors and expert scoring in the process of reliability allocation, a reliability allocation method of NC tool holder based on grey correlation theory, fuzzy set theory and ordered weighted averaging operator is proposed The technical level,importance, complexity, operation environment, maintainability, cost effectiveness ratio and other influencing factors are comprehensively considered.The factors are refined and organized into layers to establish a layered comprehensive factor evaluation model. …”
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Acoustic Emission-Based Pipeline Leak Detection and Size Identification Using a Customized One-Dimensional DenseNet by Faisal Saleem, Zahoor Ahmad, Muhammad Farooq Siddique, Muhammad Umar, Jong-Myon Kim

“…The denoised signals are processed using a DenseNet-based deep learning model, which combines convolutional layers and densely connected feature propagation to extract fine-grained temporal dependencies, ensuring the accurate classification of leak presence and severity. …”
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Grid-Connected Key Technical Indicators and Evaluation Methods for Multi-Type Synchronous Control Equipment by Shengjun Wu, Dajiang Wang, Zheng Li, Wenbo Li, Ke Xu

“…Considering that the objective weighting and subjective weighting can, respectively, be achieved by the independent information entropy weighing method (IIEWM), the analytic hierarchy process method (AHPM) and the integrating principal component analysis method (PCAM), an improved layered integration weight allocation method based on IIEWM-AHPM-PCAM is proposed. …”
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Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…When integrated with a deep learning model, these images enable the remote classification of the reservoirs’ trophic state. …”
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Intelligent Control of Smooth Blasting Quality in Rock Tunnels Using BP-ANN, ENN, and ANFIS by Baoping Zou, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…The following are the conclusions of this study: (1) This paper presented a method of constructing a tunnel smooth blasting quality control index system and established this system with seven criteria layers, namely, geological conditions, explosive properties, borehole parameters, charge parameters, method of initiation, tunnel parameters, and construction factors, as well as a total of nine indexes. (2) The comprehensive optimization control model of BP-ANN, ANFIS, and ENN for tunnel smooth blasting quality was established. (3) The uniform design method was used to optimize the blasting parameters of the tunnel section, which needs to be controlled, and verify that the construction of these comprehensive optimization control models can change the focus of tunnel smooth blasting quality control from the traditional single index control method into a dynamic, intelligent, pluralistic, and integrated control technology.…”
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Pilot study: a low-cost, point-of-care microfluidic chip for smartphone-integrated colorimetric detection using convolutional neural networks by Mithun Kanchan, Pedapudi Anantha Hari Arun, Siddhant Rakesh Chutke

“…Our proposed microfluidic device comprises of layers of adhesive poly-vinyl films with micro-wells precision-cut using a cutting printer and stacked on a glass slide. …”
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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

“…The accuracy recorded by the suggested model is 99.6% and 99.7% for database-1 and database-2, respectively.…”
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Fuzzy Reliability in Spatial Databases by Ferdinando Di Martino, Salvatore Sessa

“…We model a spatial database in thematic datasets; each thematic dataset concerns a specific spatial domain and includes a set of layers. …”
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Facile Synthesis and Characterization of Novel Analcime@Calcium Aluminate@Polyethylene Glycol 400 Nanocomposite for Efficient Removal of Zn(II) Ions from Aqueous Media by Ehab A. Abdelrahman, Abdulrahman G. Alhamzani, Mortaga M. Abou-Krisha, Fawaz A. Saad, Abdalla M. Khedr

“…Kinetic modeling confirmed that adsorption followed the pseudo-second-order model, while isotherm studies demonstrated adherence to the Langmuir model, indicating monolayer adsorption on homogeneous sites.…”
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CO₂ Sequestration in a Carbonate Saline Aquifer: An Investigation into the Roles of Natural Fractures and Well Placement by Abdulrahim K. Al Mulhim, Mojdeh Delshad, Kamy Sepehrnoori

“…Additionally, the model evaluated the role of natural fractures in the migration path of CO₂ plume and geochemical reactions throughout the storage process. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…Abstract Background Drug development is a time-consuming and costly endeavor, and utilizing computer-aided methods to predict drug-target affinity (DTA) can significantly accelerate this process. The key to accurate DTA prediction lies in selecting appropriate computational models to effectively extract features from drug molecular structures and target protein structures. …”
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Synthesis and characterization of CuFe2O4/NiMgAl-LDH composite for the efficient removal of oxytetracycline antibiotic by Jamiu O. Eniola, Rajeev Kumar, Olfat A. Mohamed, A.A. Al-Rashdi, M.A. Barakat

“…In this study, a modified copper ferrite/NiMgAl layered double hydroxide (CuFe2O4/NiMgAl-LDH) composite was developed for the adsorptive removal of oxytetracycline hydrochloride (OTC) antibiotic from aqueous solution. …”
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Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework by Omid Halimi Milani, Lauren Mills, Amanda Nikho, Marouane Tliba, Veerasathpurush Allareddy, Rashid Ansari, Ahmet Enis Cetin, Mohammed H. Elnagar

“…The feature extraction integrates Convolutional Neural Networks (CNN) architectures, such as EfficientNet and ResNet18, alongside our novel Multi-Filter Convolutional Residual Attention Network (MFCRAN) enhanced with Discrete Cosine Transform (DCT) layers. Moreover, to better capture the inherent order within the data classes, we augment the supervised training process with a ranking loss by attending to the relationship within the label domain. …”
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Study on the Deformation Law of the Embankment with Alluvial Fill in the Lower Yellow River by Chuanyi Ma, Xuanzheng Li, Chuan Wang, Daojun Deng, Quanyi Xie, Gaohang Lv

“…In this paper, laboratory experiments were conducted to examine the change in hydraulic conductivity during the consolidation process of the alluvial fill. Besides, a numerical model was established to investigate the dissipation law of excess pore water pressure and the settlement law of layered consolidation of alluvial fill. …”
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Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

“…Subsequently, considering the uneven distribution and minor scale variations of ship targets in the dataset, two detection layers are retained to reduce model parameters and further enhance model performance. …”
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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…The proposed framework consists of four components: a dilated convolution-based encoder, a transformer-based encoder, a multi-scale multiple feature fusion decoder (MSMFD), and a DL training model. The dilated convolution layers can retrieve fine spatial features, whereas Swin models are designed to obtain global information. …”
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A sustainable neuromorphic framework for disease diagnosis using digital medical imaging by Rutwik Gulakala, Marcus Stoffel

“…The framework comprises branched and densely connected layers described by a Leaky-Integrate and Fire (LIF) neuron model. …”
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