TomatoGuard-YOLO: a novel efficient tomato disease detection method by Xuewei Wang, Jun Liu

“…The framework introduces two key innovations: the Multi-Path Inverted Residual Unit (MPIRU), which enhances multi-scale feature extraction and fusion, and the Dynamic Focusing Attention Framework (DFAF), which adaptively focuses on disease-relevant regions, substantially improving detection robustness. Additionally, the incorporation of the Focal-EIoU loss function refines bounding box matching accuracy and mitigates class imbalance. …”
Get full text

Quality-Aware PPG-Based Blood Pressure Classification for Energy-Efficient Trustworthy BP Monitoring Devices With Reduced False Alarms by Yalagala Sivanjaneyulu, M. Sabarimalai Manikandan, Srinivas Boppu, Linga Reddy Cenkeramaddi

“…Early detection of hypertension (HT) is crucial for significantly reducing the risk of serious health complications, which demands continuous or long-term blood pressure (BP) monitoring to ensure the timely management of hypertension. …”
Get full text

Deep Learning Strategy for UAV-Based Multi-Class Damage Detection on Railway Bridges Using U-Net with Different Loss Functions by Yong-Hyoun Na, Doo-Kie Kim

“…The results showed that the U-Net model trained with IoU Loss outperformed the others in terms of detection accuracy. When applied to field inspection scenarios, this approach demonstrates strong potential for objective and precise damage detection. …”
Get full text

Enhancing Cloud Detection in Polar Regions Using Combined Spectral and Textural Features for Landsat 8/9 OLI Imagery by Xinran Shen, Teng Li, Chong Liu, Shaoyin Wang, Lei Zheng, Qi Liang, Xiao Cheng, Jiaqi Yao

“…Initially, the algorithm employs function of mask (Fmask) for preliminary cloud detection, followed by a block processing strategy that integrates the gray-level co-occurrence matrix to extract local texture features for secondary discrimination, helping to eliminate snow misidentified as clouds. …”
Get full text

YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
Get full text

Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

“…These challenges lead to reduced accuracy and efficiency in pipeline anomaly detection. …”
Get full text

Resveratrol reduces radiation-induced liver damage and fibrosis, and may be related to inhibiting cellular aging and reducing inflammation by Songhui Zhai, He Xu, Jianxin Xue, Lu Gan, Fang Gao, Lijuan Hu

“…RSV alleviated liver fibrosis and liver function in RILD mice. Conclusions RSV reduces RILD and fibrosis, and may be related to inhibiting cellular aging and reducing inflammation.…”
Get full text

YOLOv8n-Al-Dehazing: A Robust Multi-Functional Operation Terminals Detection for Large Crane in Metallurgical Complex Dust Environment by Yifeng Pan, Yonghong Long, Xin Li, Yejing Cai

“…To address these issues, we propose the YOLOv8n-Al-Dehazing method, which achieves the precise detection of multi-functional material handling terminals in aluminum electrolysis workshops. …”
Get full text

Fullerene (C20) as a potential sensor for thermal and electrochemical detection of amitriptyline: A DFT study by Mohammad Reza Jalali Sarvestani, Zohreh Doroudi

“…The negative values of adsorption enthalpy changes and the increase of specific heat capacity in the adsorption process revealed the interaction of amitriptyline with fullerene is exothermic and this nanostructure is an admissible sensing material for thermal detection of amitriptyline. The density of states (DOS) plots showed the bandgap of fullerene reduced from -32.13% from 7.145 (eV) to 4.849 (eV) when amitriptyline adsorbed on its surface. …”
Get full text

Small object detection in complex open-pit mine backgrounds based on improved YOLOv11 by ZHU Yongjun, CAI Guangqi, HAN Jin, MIAO Yanzi, MA Xiaoping, JIAO Wenhua

“…Small object detection in open-pit mines faces challenges such as wide viewing angles and long detection distances, which result in small target imaging. …”
Get full text

ABDviaMSIFAT: Abnormal Crowd Behavior Detection Utilizing a Multi-Source Information Fusion Technique by Ali Ahmad Hamid, S. Amirhassan Monadjemi, Bijan Shoushtarian

“…These scores are later modified for the individual level of the group, allowing for behavior recognition through the assessment of fuzzy logic functions. In the first pipeline, we utilize a depth-wise Separable Convolutional Neural Network (DWS-CNN) that provides reduced filtering compared to standard CNNs. …”
Get full text

Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach by Farzad V. Farahani, Lukman E. Ismaila, Cristina L. Sadowsky, Haris I. Sair, Li Min Chen, Visar Belegu, James J. Pekar, Martin A. Lindquist, Ann S. Choe

“…Cortical reorganization, in particular, can be evaluated through network (graph) analysis of interregional functional connectivity. This study aimed to investigate cortical reorganization patterns in persons with chronic SCI using a multilayer community detection approach on resting-state functional MRI data. …”
Get full text

PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…When compared to YOLOv11s, it increases mAP50 by 1.0% and mAP50–95 by 5.6% while also significantly reducing the model parameters. The performance of PCES-YOLO is also evaluated against mainstream object detection algorithms, including Faster R-CNN, SSD, YOLOv8n, etc. …”
Get full text

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

“…By incorporating a multi-scale feature extraction pyramid (SDFP), occlusion-aware attention mechanism (SEAM), an edge and spatial information fusion module (ES3), and a WIoU-Shape loss function, the SDES-YOLO model significantly enhances fall detection performance in complex scenarios. …”
Get full text

A reduced peripapillary blood flow as a factor of primary open angle glaucoma development and progression by N. I. Kurysheva, E. V. Maslova, A. V. Trubilina

Get full text

Palm Print Edge Extraction Using Fractional Differential Algorithm by Chunmei Chi, Feng Gao

“…Based on fractional order difference function which was deduced from classical fractional differential G-L definition, three filter templates were constructed to extract thenar palm print edge. …”
Get full text

Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s by Lin Gao, Pengwei Yu, Hongjuan Dong, Wenjie Wang

“…This structure can fully utilize the features of different scales, improve the model’s detection accuracy, and reduce its complexity. Finally, the CIoU loss function is replaced by the Wise-SIoU loss function at the prediction end. …”
Get full text

Transcranial direct current stimulation reduces injury potential but does not enhance performance during side-cutting among individuals with chronic ankle instability by He Gao, Xueke Huang, Qipeng Song, Yanhao Liu, Peixin Shen, Qi Wang, Liang Zhao

“…Our study provides new insights for clinically reducing the injury potential among individuals with CAI.…”
Get full text

Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…Finally, WIoUv3 is used as the loss function of the model. By dynamically distributing gradient gain, Focus on ordinary anchor frame quality, In the process of model training, the harmful gradient generated by low quality anchor frame is reduced. …”
Get full text

Marine fish species recognition based on improved YOLOv5s by ZHANG Haifeng, LU Xinchun, FENG Bo, YANG Jin

“…Improved some C3 modules of the backbone network, and integrated CA coordination attention mechanism into the C3 module, which improved the recognition accuracy and detection speed of the model while reducing the number of model parameters. …”
Get full text