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Variable Selection for Generalized Single-Index Varying-Coefficient Models with Applications to Synergistic G × E Interactions
Published 2025-01-01“…A three-step variable selection method for single-index varying-coefficients models was proposed in recent research. …”
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Effects of feature selection and normalization on network intrusion detection
Published 2025-03-01“…The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). …”
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A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance
Published 2024-01-01“…This study proposes an innovative, automated approach to colon cancer diagnosis by integrating advanced machine learning techniques with deep learning architectures. We employed EfficientNet, a state-of-the-art convolutional neural network, to extract intricate features from histopathological images, alongside the Non-dominated Sorting Genetic Algorithm II for optimal feature selection. …”
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Potato late blight leaf detection in complex environments
Published 2024-12-01“…Abstract Potato late blight is a common disease affecting crops worldwide. To help detect this disease in complex environments, an improved YOLOv5 algorithm is proposed. …”
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AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system
Published 2025-12-01“…However, the vast amount of network data requires an efficient processing approach. Among various studies from existing literature, Machine Learning (ML) algorithms provide a viable solution to detecting intrusion in voluminous data. …”
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Enhanced YOLOv8 with lightweight and efficient detection head for for detecting rice leaf diseases
Published 2025-07-01“…While YOLO object detection algorithms show strong performance in automated detection, their feature extraction capabilities remain limited in complex agricultural settings. …”
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Efficient detection and counting method for maize seedling plots
Published 2025-08-01“…To efficiently detect and count maize seedlings in complex field conditions, this study first developed a sample dataset under diverse backgrounds and lighting scenarios and introduced a data augmentation technique called “M_AUG.” …”
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Using lightweight method to detect landslide from satellite imagery
Published 2024-12-01“…Increasingly general-purpose detection models are being deployed for these complex and dynamic tasks involving features that are difficult to characterize. …”
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Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel
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Unsupervised selective labeling for semi-supervised industrial defect detection
Published 2024-10-01“…This has motivated a shift towards semi-supervised learning (SSL), which leverages labeled and unlabeled data to improve learning efficiency and reduce annotation costs. This work proposes the unsupervised spectral clustering labeling (USCL) method to optimize SSL for industrial challenges like defect variability, rarity, and complex distributions. …”
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Efficient feature selection based on Gower distance for breast cancer diagnosis
Published 2025-06-01“…This study presents an efficient feature selection method based on the Gower distance to enhance the accuracy and efficiency of standard classifiers on high-dimensional medical datasets. …”
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A YOLO-Based Method for Head Detection in Complex Scenes
Published 2024-11-01“…Secondly, it was found in practical operations that the original IoU function has a serious problem with overlapping detection in complex scenes. There is an IoU function that can ensure that the final selection boxes cover the object as accurately as possible without overlapping. …”
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Efficient Hydrolysis of Sugar Beet Pulp Using Novel Enzyme Complexes
Published 2025-01-01“…The newly developed strain, as a producer of pectin lyase, arabinofuranosidase, and cellulase complexes, has the potential to be utilized for the bioconversion of sugar beet processing wastes and for the efficient generation of highly concentrated solutions of technical sugars for further implementation in processes of microbial synthesis.…”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection
Published 2024-10-01“…This module is designed with a lightweight structure, aimed at reducing the computational complexity and parameter count, thereby optimizing the model’s computational efficiency. …”
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Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios
Published 2025-01-01“…Detecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. …”
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Low-Complexity Transmit Antenna Selection in Large-Scale Spatial Modulation Systems
Published 2015-01-01“…Transmit antenna selection (TAS) is an efficient way for improving the system performance of spatial modulation (SM) systems. …”
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Direct detection with an optimal transfer function: toward the electrical spectral efficiency of coherent homodyne detection
Published 2025-02-01“…Complex-valued double-sideband direct detection (DD) can reconstruct the optical field and achieve a high electrical spectral efficiency (ESE) comparable to that of a coherent homodyne receiver, and DD does not require a costly local oscillator laser. …”
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