Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…Convolutional neural network based pretrained deep learning models can be used successfully to detect lung cancer. In this study, we have used a channel attention-enabled deep learning model as a feature extractor followed by an adaptive Genetic Algorithm (GA) based feature selector. …”
Get full text

A Multi-Feature Fusion Algorithm for Fatigue Driving Detection Considering Individual Driver Differences by Meng Zhou, Xiaoyi Zhou, Zhijian Li, Xinyue Liu, Chengming Chen

“…This article presents a novel detection algorithm that utilizes facial multi-feature fusion, thoroughly considering the driver’s individual characteristics. …”
Get full text

Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…In order to achieve infrared aircraft detection under interference conditions, this paper proposes an infrared aircraft detection algorithm based on high-resolution feature-enhanced semantic segmentation network. …”
Get full text

Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

“… In response to the problem of insufficient feature extraction and insufficient detection accuracy in the anchor-free frame object detection algorithm CenterNet. …”
Get full text

Credit card fraud Detection using Feature select method and improved machine learning algorithm by Mohammed AL-Hammadi

“…By using a binary genetic algorithm and cross-entropy, our feature selection approach identifies key attributes and evaluates their relevance to the target variable. …”
Get full text

Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection by Yong Lu, Minghao Sun

Get full text

Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

“…In this article, the authors propose a functional brain network‐based driving fatigue detection method and seek to combine features and algorithms with optimal effect. …”
Get full text

Improved Visual SLAM Algorithm Based on Dynamic Scenes by Jinxing Niu, Ziqi Chen, Tao Zhang, Shiyu Zheng

“…Based on the classic framework of traditional visual SLAM, we propose a method that replaces the traditional feature extraction method with a convolutional neural network approach, aiming to enhance the accuracy of feature extraction and localization, as well as to improve the algorithm’s ability to capture and represent the characteristics of the entire scene. …”
Get full text

CTDA: an accurate and efficient cherry tomato detection algorithm in complex environments by Zhi Liang, Caihong Zhang, Zhonglong Lin, Guoqiang Wang, Xiaojuan Li, Xiangjun Zou

“…To ensure accuracy and efficiency in detecting cherry tomatoes in complex environments, the study proposes a precise, realtime, and robust target detection algorithm: the CTDA model, to support robotic harvesting operations in unstructured environments.MethodsThe model, based on YOLOv8, introduces a lightweight downsampling method to restructure the backbone network, incorporating adaptive weights and receptive field spatial characteristics to ensure that low-dimensional small target features are not completely lost. …”
Get full text

Multi-scale Logo detection algorithm based on convolutional neural network by Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI

“…Aiming at the requirements for multi-scale Logo detection in natural scene images,a multi-scale Logo detection algorithm based on convolutional neural network was proposed.The algorithm was based on the realization of two-stage object detection.By constructing feature pyramids and adopting layer-by-layer prediction,multi-scale region proposals were generated.The multi-layer feature maps in convolutional neural networks were fused to enhance the feature representation.The experimental results on the FlickrLogos-32 dataset show that compared with the baseline,the proposed algorithm can improve the recall rate of region proposals,and can improve the performance of small Logo detection while ensuring the accuracy of large and middle Logo,proving the superiority of the proposed algorithm.…”
Get full text

Att-BEVFusion: An Object Detection Algorithm for Camera and LiDAR Fusion Under BEV Features by Peicheng Shi, Mengru Zhou, Xinlong Dong, Aixi Yang

“…We further develop a BEV self-attention mechanism to apply global operations on the features. This paper evaluates the effectiveness of the Att-BEVFusion fusion algorithm on the nuScenes dataset, and the results demonstrate that the algorithm achieved 72.0% mean average precision (mAP) and 74.3% nuScenes detection score (NDS), with an advanced detection accuracy of 88.9% and 91.8% for single-item detection of automotive and pedestrian categories, respectively.…”
Get full text

Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

Get full text

Cooperation Spectrum Sensing Detecting Algorithm Based on Featured Belief Points in Cognitive Radio Network by Hongyan Zheng, Bo Wu, Yanpeng Feng, Xianjun Meng

“…Firstly，this algorithm desployed the single cognitive user energy detection and feature detection co11aborative detection mode instead of multiple cognitive user cooperative detection，reducing communication overhead. …”
Get full text

Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling by Miao Peng, Sue Bai, Yang Lu

Get full text

Detection of Seed Potato Sprouts Based on Improved YOLOv8 Algorithm by Yufei Li, Qinghe Zhao, Zifang Zhang, Jinlong Liu, Junlong Fang

Subjects: Get full text

Machine learning models and dimensionality reduction for improving the Android malware detection by Pablo Morán, Antonio Robles-Gómez, Andres Duque, Llanos Tobarra, Rafael Pastor-Vargas

“…This work first proposes a new efficient dimensionality reduction of features, as well as the application of several supervised machine learning algorithms for prediction purposes. …”
Get full text

YOLO-Dynamic: A Detection Algorithm for Spaceborne Dynamic Objects by Haiying Zhang, Zhengyang Li, Chunyan Wang

“…This paper presents YOLO-Dynamic, a novel detection algorithm aimed at addressing the limitations of existing models, particularly in complex environments and small-object detection. …”
Get full text

Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

Get full text

Improved detection algorithm for rail profile wear based on line structured light by LIU Zhengfeng, CHEN Jianzheng, LI Wei

“…To address this, this paper presented an improved two-stage rail profile wear detection algorithm. In the first stage, this algorithm enabled rapid initial registration based on feature point pairs extracted from the rail profile, providing an improved initial pose for the two point clouds. …”
Get full text

Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…The improved Harris Hawk optimization algorithm is used as a feature selection scheme to reduce the impact of redundant and noisy features on the performance of the classification model. …”
Get full text