A review of domestic water management and adaptive governance in urban Latin America by Sonia J. Pineda-Morales, Alejandro Ortega-Argueta, Celia Ruiz-de-Oña-Plaza, Antonino García-García, Vera Camacho-Valdéz, Alfonso A. Cortez-Lara

“…The findings showed that adaptive governance approaches provide valuable insights, while some research throw out contextual features to strengthen adaptive dimensions The analysis revealed the different scales at which Latin American problems can be addressed, the scope and limits of knowledge management, as well as a path to rethink integrate water management reforms towards a more polycentric public planning. …”
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Threshold-Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic-Based Internal Defect Detection of Arc Magnets by Qinyuan Huang, Qiang Li, Maoxia Ran, Xin Liu, Ying Zhou

“…The frequency information in the two oscillatory components with the highest energy ratio is extracted as the internal defect features. Random forest is carried out to identify these features. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Moreover, ANNs lack explainability in choosing optimal features and confidence in their predictions. To solve the above mentioned problems. …”
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Sentiment Analysis On Tripadvisor Travel Agent Using Random Forest, Support Vector Machines, and Naïve Bayes Methods by Ariq Ammar Fauzi, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fiti Ana Wati

“… TripAdvisor faces problems in improving the quality of service on its application, namely the presence of unexpected or non-functional features, which can affect the user experience and reduce trust in the application.  …”
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Bearing fault diagnosis based on a multiple-constraint modal-invariant graph convolutional fusion network by Zhongmei Wang, Pengxuan Nie, Jianhua Liu, Jing He, Haibo Wu, Pengfei Guo

“…Then, the spatial aggregation property of Graph Convolutional Neural Networks (GCN) is utilized to capture the dependency relationship between current and vibration modes with similar time step features for accurately fusing contextual semantic information. …”
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NoMeFormer: Non-Manifold Mesh Transformer by M. Heidarianbaei, M. Dorozynski, M. Mehltretter, F. Rottensteiner

“…Existing deep learning models face problems when processing meshes with non-manifold structures. …”
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The Relevance of Virtual-Assisted Early Childhood Education and Occupational Psychotherapy Based on Emotional Interaction by Dingran Qie

“…Secondly, face recognition accuracy based on static images is not high due to problems such as inconspicuous facial features of toddlers and low-quality kindergarten surveillance videos. …”
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Emotion Recognition Through Advanced Signal Fusion and Kolmogorov-Arnold Networks by Aung Myo Thant, Thap Panitanarak

“…The KAN models effectively identified the localized and transient features in EEG and eye movement signals, which was also reflected in the smooth training convergence and nearly diagonal confusion matrices. …”
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An investigation on the feasibility of applying MODIS snow cover products in cloudy weather by the employment of its integration with microwave images by majid vazifedoust, nima fayaz, shahab araghinejad

“…However, one of the major problems in applying the MODIS snow products is cloud obscuration which limits the utilization of these products. …”
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Transforming Geospatial Data Management with a Scalable and Efficient Geo-Portal System by O.A. Oyeyode, T.O. IDOWU, D.N. OLAYINKA-DOSUMU, I.U. NZELIBE

“…Developed with open-source platforms such as Node.js, Express.js, and Leaflet, the geo-portal features advanced functionalities, including coordinate transformations, dynamic visualization, and geospatial analytics. …”
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Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…SSA has been used to solve a variety of optimization problems. The presented honeyword generation method will improve the generation process, improve honeyword features, and overcome the issues of previous techniques. …”
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Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network by Changxi Ma, Xiaoting Huang, Ke Wang, Yongpeng Zhao

“…BiLSTM was built for proposing the bi-directional temporal features of the sequences, and LSTM was responsible for learning the output features, which effectively avoids large prediction errors. …”
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Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics by Zichong Lyu, Dirk Pons, Yilei Zhang, Zuzhen Ji

“…<i>Background</i>: Logistics problems involve a large number of complexities, which makes the development of models challenging. …”
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Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization by Wei Zhu, Wei He, Qingsong Li

“…This hybrid methodology allows for an iterative refinement process, where updated features from GNNs continuously enhance the optimization performed by SA. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…., expert systems, traditional machine learning) can hardly cope with the complex failure modes and dynamic operation environment due to the problems of relying on artificial features and insufficient generalization ability. …”
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CFD-modeling of the temperature field of the radiator casing of the transmitting module of the active phased antenna arrays with air cooling by Yu. Nikolaenko, O. Baranyuk, S. Reva, V. Rohachov

“…The well-known circuit and technological principles for the creation of microstrip microwave multipliers are considered in the paper. The features, problems and shortcomings arising from their implementation are analyzed. …”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…Therefore, we propose a visual analytics system, NDEExplorer, aimed at solving these problems through visual analytics techniques. The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. …”
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Organization of competitive classes on preschoolers’ perception of fiction: reading, discussions, additional activities by Elena V. Shakirova

“…Perception of fiction is one of the types of children’s activities that allows solving problems of speech, social and communicative, cognitive, artistic and aesthetic development of the child. …”
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Sources of the mitochondrial gene pool of Russians by the results of analysis of modern and paleogenomic data by B. A. Malyarchuk

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3-D Model Extraction Network Based on RFM-Constrained Deformation Inference and Self-Similar Convolution for Satellite Stereo Images by Wen Chen, Hao Chen, Shuting Yang

“…Inspired by the implicit relationship between 2-D image features and 3-D shapes, we construct a 2-D&#x2013;3-D mapping relationship to mine the depth features of remote-sensing images by incorporating the RFM. …”
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