MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

“…This module guides feature fusion and solves the problem of receptive field mismatch. …”
Get full text

MFCEN: A lightweight multi-scale feature cooperative enhancement network for single-image super-resolution by Jiange Liu, Yu Chen, Xin Dai, Li Cao, Qingwu Li

“…The network introduced a novel comprehensive integrated multi-level feature module, leveraging the strong local perceptual capabilities of CNNs and the superior global information processing of transformers. …”
Get full text

Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling by Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang

“…Deep-TEMNet integrates the U-Net architecture with a tailored two-dimensional long short-term memory (2D LSTM) module, allowing it to effectively capture complex spatial-temporal relationships in TEM data. …”
Get full text

Using Blockchain in the Registration and Authentication of a Carpooling Application: From Review to Proposal by Lina Sofía Cardona Martínez, Cesar Andrés Sandoval Muñoz, Ricardo Salazar-Cabrera, Álvaro Pachón de la Cruz, Juan Manuel Madrid Molina

“…The registration and authentication module developed in this work allows increased security, scalability, and user adoption for any type of application, e.g., carpooling.…”
Get full text

Identification and Verification of Hub Mitochondrial Dysfunction Genes in Osteoarthritis Based on Bioinformatics Analysis by Hui Niu, Xingxing Deng, Qian Zhang, Yijun Zhao, Jinfeng Wen, Wenyu Li, Huan Liu, Xiong Guo, Cuiyan Wu

“…By employing weighted gene coexpression network analysis, we identified four distinct coexpression modules, among which the blue module exhibited the strongest correlation with OA. …”
Get full text

Flood Insurance — A Key to Recovery by Regina Fegan, Michael T. Olexa

“…It is part of The Disaster Handbook, a component of the Comprehensive Disaster Preparedness and Recovery Education Module. DH202/DH202: Flood Insurance?A Key to Recovery (ufl.edu) …”
Get full text

Flood Insurance — A Key to Recovery by Regina Fegan, Michael T. Olexa

“…It is part of The Disaster Handbook, a component of the Comprehensive Disaster Preparedness and Recovery Education Module. DH202/DH202: Flood Insurance?A Key to Recovery (ufl.edu) …”
Get full text

PARALLEL COMPUTING IN THE HEAT AND MOISTURE TRANSFER USING SPS SOFTWARE by P. K. Shalkevich, S. P. Kundas, I. A. Gishkeluk

“…A numerical model of non-isothermal moisture transfer in soil is developed and adapted for used media. An SPS software module which allows carrying out long-term forecasting for the solution of three-dimensional non-isothermal heat and moisture transfer of contaminants in soil is developed.…”
Get full text

Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

“…Features were extracted from the source image, the image of the gradient module after applying the Sobel filter, and the image after the Laplace filter. …”
Get full text

An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions by Injila Sajid, Adil Sarwar, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Adamali Shah Noor Mohamed, Md. Rasidul Islam

“…Therefore, tracking the maximum power output of the PV panels for efficient utilization becomes a challenge, resulting in power losses and the creation of intense heating spots in the shaded areas of the PV modules when the PV modules receive varying degrees of insolation, that is, under partial shading conditions (PSCs). …”
Get full text

The Role of Neuroglial Crosstalk and Synaptic Plasticity-Mediated Central Sensitization in Acupuncture Analgesia by Zhongxi Lyu, Yongming Guo, Yinan Gong, Wen Fan, Baomin Dou, Ningcen Li, Shenjun Wang, Yuan Xu, Yangyang Liu, Bo Chen, Yi Guo, Zhifang Xu, Xiaowei Lin

“…Central sensitization is modulated by the neurotransmitters and neuropeptides involved in the ascending excitatory pathway and the descending pain modulatory system. …”
Get full text

Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…Furthermore, efficacy for each module is substantiated through ablation experiments. …”
Get full text

OMSF2: optimizing multi-scale feature fusion learning for pneumoconiosis staging diagnosis through data specificity augmentation by Xueting Ren, Surong Chu, Guohua Ji, Zijuan Zhao, Juanjuan Zhao, Yan Qiang, Yangyang Wei, Yan Wang

“…To address these issues, we propose an Optimized Multi-Scale Feature Fusion learning framework, OMSF2, which includes the following components: (1) Data specificity augmentation module is introduced to capture intrinsic data representations and introduce diversity by learning morphological variations and lesion locations. (2) Multi-scale feature learning module is utilized that refines micro-feature localization guided by heatmaps, enabling full extraction of multi-directional features of subtle diffuse targets. (3) Multi-scale feature fusion module is employed that facilitates the fusion of high-level and low-level features to better understand subtle differences between disease stages. …”
Get full text

A Study on Multi-Scale Behavior Recognition of Dairy Cows in Complex Background Based on Improved YOLOv5 by Zheying Zong, Zeyu Ban, Chunguang Wang, Shuai Wang, Wenbo Yuan, Chunhui Zhang, Lide Su, Ze Yuan

“…The C3 module of the model was enhanced by incorporating Deformable convolution (DCNv3), which improves the accuracy of cow behavior characteristic identification. …”
Get full text

A Structurally Flexible Occupancy Network for 3-D Target Reconstruction Using 2-D SAR Images by Lingjuan Yu, Jianlong Liu, Miaomiao Liang, Xiangchun Yu, Xiaochun Xie, Hui Bi, Wen Hong

“…The SFONet consists of a basic network and a pluggable module that allows it to switch between two input modes: one azimuthal image and multiple azimuthal images. …”
Get full text

UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image by Yuer Lu, Yongfa Ying, Chen Lin, Yan Wang, Jun Jin, Xiaoming Jiang, Jianwei Shuai, Xiang Li, Jinjin Zhong

“…Specifically, this approach consists of a sophisticated downsampling module for extracting hierarchical features at varied scales, and an innovative attention module that strategically emphasizes salient features during the integration process. …”
Get full text

Image-based anomaly detection in low-light industrial environments with feature enhancement by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Son-Anh Bui, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Viet-Anh Trinh, Quang-Huy Ha, Nguyen Dinh Bao Long, Duc-Thanh Tran, Xuan-Tung Dinh, Van-Hiep Duong, Tran Thi Thuy Trang

“…The FFE module suppresses high-frequency noise and amplifies structural details, while the IFE module adaptively boosts features from both well-lit and dimly illuminated regions, allowing the model to focus on critical areas without relying on computationally expensive image enhancement techniques. …”
Get full text

The National Organic Standards Training Materials: Participant's Manual by Mickie E. Swisher, Rose Koenig

“…The following is a brief overview of the Participant's Guide and the links to the eight modules. This document is FCS8795, one of a series of the Family Youth and Community Sciences Department, UF/IFAS Extension. …”
Get full text

The National Organic Standards Training Materials: Participant's Manual by Mickie E. Swisher, Rose Koenig

“…The following is a brief overview of the Participant's Guide and the links to the eight modules. This document is FCS8795, one of a series of the Family Youth and Community Sciences Department, UF/IFAS Extension. …”
Get full text

USDA Farm Service Agency Disaster Assistance by Regina Fegan, Michael T. Olexa

“…It is part of The Disaster Handbook, a component of the Comprehensive Disaster Preparedness and Recovery Education Module. DH201/DH201: USDA Farm Service Agency Disaster Assistance (ufl.edu) …”
Get full text