Suggested Topics within your search.
Suggested Topics within your search.
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High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks
Published 2025-06-01“…The results show how well machine learning methods and EEG feature extraction might diagnose sleep problems. …”
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2223
Specific Features of the Professional I-Concept of Patrol Police Officers Depending on the Availability of Previous Experience in the Ministry of Internal Affairs
Published 2019-03-01“…The modern approaches to the problem of the professional I-concept in psychology have been analyzed. …”
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2224
Just-in-time updated DBN BOF steel-making soft sensor model based on dense connectivity of key features
Published 2024-12-01“…In order to enable deep learning to cope with these problems and maintain good prediction performance, this chapter proposes a Deep Belief Network (DBN) feature extraction model based on dense connectivity of key features. …”
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2225
Research on computer multi feature fusion SVM model based on remote sensing image recognition and low energy system
Published 2025-06-01“…The characteristics of remote sensing images and their application requirements in low energy consumption systems are analyzed, and a multi-feature extraction method combining spectral features, texture features and shape features is proposed. …”
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2226
Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification
Published 2025-07-01“…The method extracts deep, discriminative features via ResNet-50 and feeds them into a lightweight KELM for final classification. …”
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DAKBNet: Multiscale Fusion With Dynamic Assembly Kernels and Bilateral Feature Enhancement for Land Use Classification of Remote Sensing Images
Published 2025-01-01“…Due to the complex textures, spatial layouts, and scale variations of images, many methods solve these problems by ignoring the bias between low-level and high-level features caused by multiple semantic information associated with each pixel and the effectiveness of multiscale fusion. …”
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Flooded Infrastructure Change Detection in Deeply Supervised Networks Based on Multi-Attention-Constrained Multi-Scale Feature Fusion
Published 2024-11-01“…Automated change-detection methods can effectively alleviate the above problems. However, the ability of change-detection structures and deep learning models for flooding to characterize flooded buildings and roads is unclear. …”
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Prediction of BTEX concentrations in the air of Southern East Azerbaijan province, Iran using ensemble machine learning and feature analysis
Published 2025-06-01“…Prolonged exposure to these volatile organic compounds (VOCs) has been associated with respiratory problems, cancer, and neurological disorders. Consequently, accurate prediction of their concentrations is vital for safeguarding public health and ensuring environmental safety. …”
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Bone Tissue Remodeling Features in Patients with Systemic Lupus Erythematosus Depending on the Degree of Bone Tissue Mineral Density Reduction
Published 2014-12-01“…Today, osteoporosis is one of the priority health problems due to the high prevalence and severe complications that cause disability and increased mortality among the population. …”
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Pixel-Based Change Detection in Moving-Camera Videos Using Twin Convolutional Features on a Data-Constrained Scenario
Published 2025-01-01“…To address these moving camera surveillance problems, the PBCD-MC method was developed based on a hybrid ensemble feature extractor, combining deep learning methods, responsible for generating high-level features, and tree-based algorithms, responsible for selecting and combining the deep features. …”
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Characteristics of local and system immunity, and features of cancer stem cells in patients with different stage, dynamics and prognosis of colorectal carcinoma
Published 2022-03-01“…The features of tumor cells and immune reactions are closely interrelated and mutually conditioned. …”
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A Double Inertial Mann-Type Method for Two Nonexpansive Mappings with Application to Urinary Tract Infection Diagnosis
Published 2025-07-01“…This study proposes a double inertial technique integrated with the Mann algorithm to address the fixed-point problem. Our method is further employed to tackle the split-equilibrium problem and perform classification using a urinary tract infection dataset in practical scenarios. …”
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Deep Reinforcement Learning Algorithm Based on Graph Weight Multi-Pointer Network for Solving Multiobjective Traveling Salesman Problem
Published 2024-01-01“…Specifically, we encode the problem instance and weight vector by means of the graph weight encoder of the GWMPN model to construct the overall encoded feature with enhanced representation capabilities. …”
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Method of Obtaining a Control Low Using a Synergetic Approach for the Problem of Aircraft Guidance Along a Hyperbola
Published 2022-04-01“…The guidance problem is solved by choosing a proper hyperbola passing through the target point and letting the aircraft move along this hyperbola to the target. …”
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Procedure of the Synthesis of Control Device by the Method of Analytical Design of the Optimal Regulator for the Problem of Aircraft Guidance Along a Hyperbola
Published 2022-03-01“…It describes only the line of position (LOP) in the form of a hyperbola. The aiming problem is solved by choosing a hyperbola passing through the target point, bringing the aircraft to a given hyperbola, followed by its movement along this hyperbola. …”
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