Object Ontologies as a Priori Models for Logical-Probabilistic Machine Learning by D. N. Gavrilin, A.V. Mantsivoda

“…The combination of LPML and object ontologies is capable of solving the forecasting problems, the tasks of automated control, problem detection, decision making, and business process synthesis. …”
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L’estime de soi : un cas particulier d’estime sociale ? by Matteo Santarelli

“…Axel Honneth’s discussion of the relation between self esteem and social esteem represents an original feature of his intersubjective theory of recognition. …”
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ICRL: independent causality representation learning for domain generalization by Liwen Xu, Yuxuan Shao

“…Abstract Domain generalization (DG) addresses the challenge of out-of-distribution (OOD) data; however, the reliance on statistical correlations during model development often introduces shortcut learning problems. Current approaches to mitigating these issues commonly involve the integration of causal inference, formalizing DG problems through a general structural causal model. …”
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Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management by Xiaoyi Jiang

“…In the aspect of SVM model improvement, according to the discrimination method of SVM, the weighted K-nearest neighbor algorithm is introduced to redistinguish the qualified test samples in the feature space. From the whole process of data mining, a data mining system is designed, which is “data preprocessing standardization + genetic algorithm feature selection + training set pruning + support vector machine classifier discrimination optimization.” …”
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Robust graph fusion and recognition framework for fingerprint and finger‐vein by Zhitao Wu, Hongxu Qu, Haigang Zhang, Jinfeng Yang

“…The feature extraction method based on graph structure can well solve the problem of feature space mismatch for the finger bi‐modalities, and the end‐to‐end fusion recognition can be realised based on graph convolutional neural networks (GCNs). …”
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GPS/VIO integrated navigation system based on factor graph and fuzzy logic by M. M. Karimi, M. R. Mosavi

“…Additionally, it proposes a novel technique for motion estimation and feature extraction, called Adaptive Feature-Flow Fusion, which facilitates robust performance in environments with both high- and low-feature content. …”
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An air target intention data extension and recognition model based on deep learning by Bo Cao, Qinghua Xing, Longyue Li, Weijie Lin

“…First, the air target intention recognition problem is analyzed in detail, and the air target intention space and feature set are constructed and coded uniformly. …”
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Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection by Fei Deng, Hongyu Shi, Peifan Jiang, Xuben Wang

“…This enhances the feature extraction capabilities of the network and improves the prediction accuracy of forward modeling parameters. …”
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A Fault Detection Framework for Rotating Machinery with a Spectrogram and Convolutional Autoencoder by Hoyeon Lee, Jaehong Yu

“…The encoder part of the convolutional autoencoder is used as a feature extractor of the vibration signals in that it summarizes information on the input spectrogram into the smaller latent feature vector. …”
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A Dual-channel Progressive Graph Convolutional Network via subgraph sampling by Wenrui Guan, Xun Wang

“…To enhance the representation power, we construct a dual channel fusion module by using both the geometric information of the node feature and the original topology. Specifically, we evaluate the complementary information of the dual channels based on the joint entropy between the feature information and the adjacency matrix, and effectively reduce the information redundancy by reasonably selecting the feature information. …”
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Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack by Pengcheng QU, Jingzhao LI, Zechao LIU

“…Finally, in the target tracking stage, a multi-target motion feature prediction mechanism fused with GRU and Kalman filter was designed to solve the problem of target ID flipping caused by personnel overlap and occlusion, which effectively improved the accuracy of coal mine personnel tracking. …”
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Implementasi Re-design UI/UX Website Fumigasi Untuk Meningkatkan Customer Experience by Faisal Maulana Akbar, Ayouvi Poerna Wardhanie2, Tan Amelia

“…The result of this research is a redesign of the UI/UX design by adding new features such as a price quote feature, an appointment feature, and a transaction feature. …”
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Usability of the GrabMerchant Application: An Evaluation using the System Usability Scale and the Retrospective Think Aloud Method by Rima Handayani, Evi Maria

“…Several issues reported by users—such as errors in the notification feature, inventory management, and promotion setup—indicate potential usability problems. …”
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Intuitionistic Fuzzy Dimensional Analysis in Multi-Criteria Decision-Making: A Computational Approach by Luis Asuncion Perez-Dominguez, Mauro Callejas-Cuervo, Francesco Garcia-Luna

“…Furthermore, the software’s primary feature makes it easier to manipulate data utilizing a fuzzy set approach for the assessment of multi-criteria decision-making problems. …”
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Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing by Ilya Burtakov, Arseny Poyda, Aleksey Kureev, Evgeny Khorov

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G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

“…Aiming at the complex background of RSIs and the lack of interpretability of existing target detection models, and the problems in feature extraction between different network structures, different layers, and the accuracy of target classification, we propose an object detection and interpretation model based on gradient-weighted class activation mapping and reinforcement learning. …”
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A Novel MPE-LPP-ELM Recognition Method for the Fault Diagnosis of Spiral Bevel Gears by Jiang Lingli, Tan Hongchuang, Li Xuejun, Yang Dalian

“…However, if the MPEs are used to directly construct the feature vectors, some problems will be encountered, such as large numbers of characteristic quantities, high dimensions, and issues related to diagnosis accuracy and efficiency, which have been proven difficult to obtain at the same time. …”
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Tierra Roja (2006) / La terre des hommes rouges (2008) by Carla Fernandes

“…Some of these are also found in Marco Bechis’s fiction feature film La terre des homes rouges (The land of the red men - 2008), which is sometimes referred to in this work.…”
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Microorganisms associated with bacterial vaginosis: diversity and clinical and diagnostic significance by N. M. Voropaeva, N. L. Belkova, J. M. Nemchenko, E. V. Grigorova, I. N. Danusevich

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Application of gesture recognition based on domain transfer learning and SimSiam network in education management by Xiaoxu He

“…Compared with the traditional displacement feature method, the average accuracy of the proposed method is increased by 4%, and it can effectively deal with the dynamic gesture recognition problem in the case of palm deflection.…”
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