Lifespan brain age prediction based on multiple EEG oscillatory features and sparse group lasso by Shiang Hu, Xue Xiang, Xiaolong Huang, Yan Lu, Xulai Zhang, Dezhong Yao, Pedro A. Valdes-Sosa

Get full text

Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network by Ruipu Zhao, Lili Zeng, Chendong Fu, Xiaoqing Zhao

Get full text

Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D by Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen

Get full text

Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…However, most high-precision detection models rely on complex architectures and large-scale parameters, limiting their applicability to resource-constrained platforms such as satellite-based systems, where model size, computational load, and power consumption are tightly restricted. …”
Get full text

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

“…We propose LPS-YOLO, which improves small target feature extraction while reducing computational complexity by replacing the Conv backbone with SPDConv to retain fine-grained features. …”
Get full text

Interpretable Identification of Dynamic Adaptive Streaming over HTTP (DASH) Flows Based on Feature Engineering by Arkadiusz Biernacki

Get full text

Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion by Di Zhang, Peicheng Yue, Yuhang Yan, Qianqian Niu, Jiaqi Zhao, Huifang Ma

Get full text

Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Feature-Based Model Watermarking by Ozgur Ural, Kenji Yoshigoe

“…This research integrates PoL with feature-based model watermarking, embedding the watermark directly into the model’s features or parameters. …”
Get full text

LG-YOLOv8: A Lightweight Safety Helmet Detection Algorithm Combined with Feature Enhancement by Zhipeng Fan, Yayun Wu, Wei Liu, Ming Chen, Zeguo Qiu

“…This module enhances feature extraction to represent safety helmet wearing features, aiming to improve the efficiency of computing resource utilization. …”
Get full text

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization by Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah

Get full text

Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…The approach utilizes the pruned MobileNetV3 as the backbone network, incorporating a coordinate attention mechanism for feature extraction. This reduces the number of model parameters and enhances computational efficiency. …”
Get full text

Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…To overcome these issues, this paper proposes a cloud-edge collaborative model adaptation framework that integrates deep reinforcement learning via Deep Q-Networks (DQN) with local feature transfer. The framework enables category-level dynamic decision making, allowing for selective migration of classification head parameters to achieve on-demand adaptive optimization of the edge model and enhance consistency between cloud and edge results. …”
Get full text

AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models by Faruk Dikmen, Ahmet Demir, Bestami Özkaya, Muhammad Owais Raza, Jawad Rasheed, Tunc Asuroglu, Shtwai Alsubai

Get full text

A robust and accurate feature matching method for multi-modal geographic images spatial registration by Kai Ren, Weiwei Sun, Xiangchao Meng, Gang Yang, Jiangtao Peng, Binjie Chen, Jiancheng Li

Get full text

FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…Firstly, a newly designed Leaky MobileNetV2 (LMV2) block, integrated into the proposed model, allows to enhance its ability to extract features from skin images. Then, a novel Multi-Scale Feature Aggregation (MSFA) layer is added to enhance feature extraction across various scales, effectively capturing more comprehensive features and fusing feature maps from different scales to improve final feature reuse. …”
Get full text

Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

Get full text

Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…However, when applied to high-dimensional datasets characterized by a vast number of features and limited samples-these methods often suffer from performance degradation and increased computational costs. …”
Get full text

A construction of heterogeneous transfer learning model based on associative fusion of image feature data by Wen-Fei Tian, Ming Chen, Zhong Shu, Xue-jun Tian

“…Also, a correlation coefficient is computed for image feature vectors, and effective correlation mapping matrices are constructed through multi-dimensional vectorized correlation. …”
Get full text

Quantitative CT Analysis of Lung Features in Patients with Polymyositis/Dermatomyositis without Interstitial Lung Disease by He HEI, Kai YANG, Liyu HE, Yadan SHENG, Yaqi YAN, Bingjie ZHU, Yuting ZHANG, Jiayin TONG, Jingping ZHANG, Chenwang JIN

“…Objective: This study aims to analyze the lung differences between patients with interstitial lung disease (ILD) and non-interstitial (Non-ILD) diseases related to polymyositis/dermatomyositis (PM/DM) and healthy controls through quantitative computed tomography (CT) parameters. The objective is to establish a theoretical basis for early diagnosis and timely treatment of the disease. …”
Get full text

Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul by Basaraner Melih

“…In geometric terms, various parameters of position (i.e. X, Y), size (i.e. area, perimeter and granularity), shape (i.e. convexity, circularity, elongation, equivalent rectangular index, rectangularity and roughness index), and orientation (i.e. orientation angle) elements are computed and compared. …”
Get full text