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Suggested Topics within your search.
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2501
Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking
Published 2023-11-01“…The preprocessing process involved label encoding, feature selection with Pearson correlation, standard normalization, and the use of SMOTE to handle data imbalance. …”
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2502
Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning
Published 2025-01-01“…This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction model (N-XGB), a hybrid model that combines neural networks (NN) for feature extraction with XGBoost for classification. …”
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2503
Recognition of Impact Load on Connecting-Shaft Rotor System Based on Motor Current Signal Analysis
Published 2024-10-01“…These findings indicate that using the motor current as the analysis signal can solve the problem of the difficult layout for traditional vibration sensors in rolling sites. …”
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2504
Grape cluster detection based on spatial-to-depth convolution and attention mechanism
Published 2024-12-01“…Secondly, based on the problem of information loss in grape cluster detection, a plug-and-play module of spatial-to-depth convolution (STD-Conv) is added to enrich grape cluster feature information. …”
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2505
Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pip...
Published 2025-03-01“…This new algorithm uses the feature compression method to reduce the parameters of the model, and combines it with pipeline programming to accelerate the inference process of the deep learning model. …”
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2506
GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes
Published 2025-01-01“…To avoid the over-parameterization problem in the graph-factor-based optimization process, the Closest Point(CP) representation is adopted to describe the local ground plane. …”
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2507
MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba
Published 2024-12-01“…We used slice downsampling (SD) to reduce the resolution of the feature map to half the original size, and then fused local features from four different locations. …”
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2508
A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm
Published 2025-01-01“…Finally, an improved method of geographic information-scale invariant feature transform is used to achieve the efficiency fusion of multi-angle imaging results. …”
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2509
A Feature Extraction Method of Ship Underwater Noise Using Enhanced Peak Cross-Correlation Empirical Mode Decomposition Method and Multi-Scale Permutation Entropy
Published 2024-12-01“…A feature extraction method based on the combination of improved empirical modal decomposition (IEMD) and multi-scale permutation entropy (MPE) is proposed to address the problem of inaccurate recognition and classification of ship noise signals under complex environmental conditions. …”
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2510
A Two-Branch ResNet-BiLSTM Deep Learning Framework for Extracting Multimodal Features Applied to PPG-Based Cuffless Blood Pressure Estimation
Published 2025-06-01“…The ResNet branch processes 60 features selected by Support Vector Machine-Recursive Feature Elimination (SVM-RFE) from manually extracted features, including our newly proposed trend features, while the BiLSTM branch processes complete PPG waveforms. …”
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2511
Structural and functional changes in the heart and clinical features of heart failure with preserved left ventricular ejection fraction in patients after myocardial infarction, com...
Published 2013-12-01“…Given the important role of diastolic dysfunction in the formation of heart failure in postinfarction patients with concomitant arterial hypertension, the mechanisms of its impact on clinical features and structural-functional changes of the heart is an actual problem. …”
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2512
Perampanel in the additional therapy of focal and primary generalized tonic-clonic seizures in children 4–12 years old: clinical data, experience of use and practical recommendatio...
Published 2021-07-01“…During the event, the features of the use of perampanel in this group of patients were discussed, considering the specifics of everyday clinical practice, current possibilities of PGTCS and FS therapy in children, its goals, as well as unsolved problems in the treatment of pediatric patients with PGTCS and FS. …”
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2513
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2514
Directions of the industrial enterprise management system digitalization based on the artificial intelligence technologies introduction in the context of achieving its sustainable...
Published 2025-05-01“…The development of classification features of artificial intelligence is proposed depending on the functions performed and the corresponding participation in the processes of development and implementation of management decisions, which will contribute to improving the efficiency of the industrial enterprises’ management system and “accelerating” their ESG transformation.…”
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2515
Linear Time Train Contraction Minor Labeling for Railway Line Capacity Analysis
Published 2024-09-01“…Abstract When no more than one train is feasibly contained in the separation headway times of two other trains, a triangular gap problem-based method is used to compute the consumed capacity in linear time. …”
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2516
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2517
Education in Post-Conflict Societies: Angola and Mozambique’s Path to an Accessible and Sovereign Education System
Published 2025-07-01“…Colonial education was modeled on the metropolis, and its characteristic feature was the almost complete exclusion of the indigenous population from the system of education. …”
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2518
Multistage optimization of a non-institutional investor’s assents portfolio
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2519
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2520
Identifying student help-seeking behavior patterns and help-seeking tendencies from student problem-solving and help-seeking behavior data: An educational data mining approach
Published 2025-04-01“…First, nine observable problem-solving and help-seeking features for identifying help-seeking behavior patterns were established. …”
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