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Small object detection algorithm based on improved YOLOv10 for traffic sign
Published 2025-07-01“…Our approach introduces Omni-Dimensional Dynamic Convolution (ODConv), which utilizes a four-dimensional dynamic convolution mechanism to improve the capture of multi-scale and complex background features. Additionally, we integrate an attention-guided bidirectional feature pyramid network (EMA-BiFPN) to enhance feature fusion, further improving the detection accuracy for small objects. …”
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523
A Hybrid Deep Transfer Learning-based Approach for COVID-19 Classification in Chest X-ray Images
Published 2021-12-01“…In this paper, we presented an approach to diagnosis COVID-19 using CXR images based on the concatenated features vector of the three DTL structures and soft-voting feature selection procedure, including Receiver of Curve (ROC), Entropy, and signal-to-noise ratio (SNR) techniques. …”
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524
Predicting cardiovascular risk with hybrid ensemble learning and explainable AI
Published 2025-05-01Get full text
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525
Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning
Published 2025-01-01“…This phase employs optimized feature extraction from key EEG frequency bands (Delta, Theta, Alpha, Beta, Gamma) using techniques such as MFCC, GFCC, power spectral density, and Hjorth parameters. …”
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Clinical analysis of histiocytic necrotizing lymphadenitis in adults with fever of unknown origin: a retrospective study
Published 2025-08-01“…The analysis encompassed clinical manifestations, laboratory parameters 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) imaging profiles, pathological features and therapeutic responses. …”
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528
Adaptive clustering for medical image analysis using the improved separation index
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529
Accuracy–Efficiency Trade-Off: Optimizing YOLOv8 for Structural Crack Detection
Published 2025-06-01“…A lightweight C3Ghost module reduces parameter count and computation, while a bidirectional multi-scale feature fusion structure replaces the standard neck to enhance efficiency. …”
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530
CONE-BEAM COMPUTED TOMOGRAPHY IN PALEOANTHROPOLOGY
Published 2016-02-01“…Objective: to study the capabilities of cone-bean computed tomography (CBCT) in estimating the bone structure when analyzing anthropological findings.Material and methods. …”
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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects
Published 2025-03-01“…Additionally, the optimized architecture reduces parameters by 1.3% and computational load by 15.19%. …”
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532
An adaptive dual distillation framework for efficient remaining useful life prediction
Published 2025-04-01“…Soft-target distillation refines predictive distributions to provide robust supervision and our correlation-based feature alignment preserves inter-feature relationships and prevents information loss. …”
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533
Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferatio...
Published 2024-12-01“…Abstract Objective To develop and validate a model integrating dual-layer detector spectral computed tomography (DLCT) three-dimensional (3D) volume of interest (VOI)-based quantitative parameters and clinical features for predicting Ki-67 proliferation index (PI) in pancreatic ductal adenocarcinoma (PDAC). …”
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534
A Novel Lightweight Framework for Non-Contact Broiler Face Identification in Intensive Farming
Published 2025-06-01“…The Inception-F module employs a dynamic multi-branch design to enhance multi-scale feature extraction, while the C2f-Faster module leverages partial convolution to reduce computational redundancy and parameter count. …”
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535
LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design
Published 2025-07-01“…Abstract Small object detection in UAV aerial images is challenging due to low contrast, complex backgrounds, and limited computational resources. Traditional methods struggle with high miss detection rates and poor localization accuracy caused by information loss, weak cross-layer feature interaction, and rigid detection heads. …”
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536
Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction
Published 2025-07-01“…We propose a multi-scale feature fusion architecture incorporating spatiotemporal attention mechanisms to enhance key point detection precision while maintaining computational efficiency. …”
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537
Aortic KD former: aortic multiclass segmentation using SegFormer via knowledge distillation
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