Lightweight SCD-YOLOv5s: The Detection of Small Defects on Passion Fruit with Improved YOLOv5s by Yu Zhou, Zhenye Li, Sheng Xue, Min Wu, Tingting Zhu, Chao Ni

“…Recently, deep learning (DL) has been widely applied to object detection. In this study, a lightweight neural network, StarC3SE-CBAM-DIoU-YOLOv5s (SCD-YOLOv5s), is proposed based on YOLOv5s for real-time detection of tiny surface defects on passion fruits. …”
Get full text

Application of statistical methods for predicting udp-flood attacks by M. V. Tumbinskaya, V. V. Volkov, B. G. Zagidullin

Get full text

A Deep-Learning-Based Detection Method for Small Target Tomato Pests in Insect Traps by Song Wang, Daqing Chen, Jianxia Xiang, Cong Zhang

“…In this work, an improved approach based on the advanced object detection model You Only Look Once version 7-tiny (YOLOv7-tiny) is introduced, aiming to enhance the accuracy of detecting small tomato pests while maintaining computational complexity. …”
Get full text

WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

“…In this study, we introduce a focal loss function to enhance the robustness of the network, allowing for high-precision change detection of SAR images with different noise levels through parameter adjustment. …”
Get full text

MSFA-YOLO: A Multi-Scale SAR Ship Detection Algorithm Based on Fused Attention by Zhao Liangjun, Ning Feng, Xi Yubin, Liang Gang, He Zhongliang, Zhang Yuanyang

“…Leveraging the excellent feature representation capabilities of neural networks, deep learning methods have been widely adopted for object detection in synthetic aperture radar (SAR) images. …”
Get full text

The cardiac function characteristics and nursing measures of endoscopic endonasal transsphenoidal approach for growth hormone-secreting pituitary adenoma complicated with cardiomyo... by YAN Ying (闫莹), HE Xin (贺欣)

“…Methods The clinical data of 38 cases of patients who underwent endoscopic endonasal transsphenoidal approach for the treatment of growth hormone-secreting pituitary adenoma complicated with cardiomyopathy were collected and analyzed, Using echocardiography to detect the growth hormone(GH) level, left ventricular end-diastolic diameter(LVEDD), septal thickness(ST), left ventricular posterior wall thickness(LVPWT), left ventricular ejection fraction(LVEF) to comparative analysis of cardiac function were made in these patients before surgery and after 3 months. …”
Get full text

A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

“…Experimental results demonstrate that the proposed method excels across various evaluation metrics, achieving a precision of 0.94, recall of 0.90, accuracy of 0.92, and mAP@75 of 0.91, indicating excellent classification accuracy and object localization capability. Further experiments, through ablation studies, evaluated the impact of different attention mechanisms and loss functions on model performance, all of which showed superior performance for the proposed approach. …”
Get full text

Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding by Bo She, Fuqing Tian, Weige Liang, Gang Zhang

“…A linear dimension reduction method called nonlocal orthogonal preserving embedding (NLOPE) and its nonlinear form named nonlocal kernel orthogonal preserving embedding (NLKOPE) are proposed and applied for condition monitoring and fault detection. Different from kernel orthogonal neighborhood preserving embedding (KONPE) and kernel principal component analysis (KPCA), the NLOPE and NLKOPE models aim at preserving global and local data structures simultaneously by constructing a dual-objective optimization function. …”
Get full text

Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…This study proposes a small target detection algorithm for UAV aerial images using a ConvMixer detection head based on the improved YOLOv7-tiny to address the problems of missed detection and false detection caused by significant variations in target scale, densely distributed small-sized targets and complex backgrounds in UAV aerial images.MethodsFirst, the activation function LeakyReLU is replaced with SiLU to compensate for the limited nonlinear expression of LeakyReLU and to enhance convergence speed and model generalization during training. …”
Get full text

Fungsi Sel Imun Interleukin-4 (IL-4) pada Ikan Kerapu Tikus (Cromileptes altivelis) dengan Induksi Protein Imunogenik Vibrio harveyi <br><i>[The Function Of Interleukin-4 (IL-4) Im... by Uun Yanuhar, Asus Maizar SH, Ita Fitria S

“…Abstract Humpback grouper (Cromileptes altivelis) is a commodity to be cultivated because it has a high price, but the grouper highly susceptible to Vibriosis (Vibrio harveyi). The research objective was to see the function of immune cells of interleukin-4 (IL-4) are formed due to the induction of immunogenic proteins of Vibrio harveyi. …”
Get full text

EBBA-detector: An effective detector for defect detection in solar panel EL images with unbalanced data. by Yixing Zhang, Ziyan Mo, Zhuan Xin, Xianyu Chen, Yuqin Deng, Xuan Dong

“…Therefore, the EBBA-Detector not only effectively detects small target objects but also demonstrates good handling capabilities for large targets and imbalanced data, providing an efficient and accurate solution for solar panel defect detection.…”
Get full text

DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK by N Suganthi, R Meenakshi, A Sairam, M Parvathi

“…This paper proposes a novel hybrid technique, termed Decision Tree with Hill Climbing (DTHC), for efficient spectrum hole detection in CRNs. The objective of the DTHC method is to improve detection accuracy while minimizing false alarm rates. …”
Get full text

Anomaly Detection Method With Rebar Response Suppression for Microwave Ground Penetrating Radar Pavement Inspection by Natsuki Akiyama, Takahide Morooka, Katsuyoshi Suzuki, Shouhei Kidera

“…Various approaches have been used to detect cracks, water, or corrosion in buried objects in the GPR model using synthetic aperture radar (SAR) image. …”
Get full text

Improved Denclue Outlier Detection Algorithm With Differential Privacy and Attribute Fuzzy Priority Relation Ordering by Huangzhi Xia, Limin Chen, Dongyan Wang, Xiaotong Lu

“…Secondly, in order to compensate for the decrease of outlier detection accuracy caused by noise, the information entropy weight distance was introduced to amplify the influence of important attributes in the algorithm, and the density function of entropy weight distance was used to calculate each data point. …”
Get full text

Factors associated with obtaining lower IQR-CAP values in the detection of hepatic steatosis by transient elastography by Iván López-Mendez, Juan Luis Romero-Flores, Graciela Castro-Narro, Misael Uribe, Eva Juárez-Hernández

“…Introduction and Objectives: Controlled attenuation parameter (CAP) has been developed as a non-invasive method for detecting liver steatosis. …”
Get full text

View Score: An early warning score to detect possible complications among COVID-19 patients by Meenakshi Bhakare, Rajkumar Nikalje, Reshma Patil, Urvi Shukla, Rupesh Bokade, Gajanan Sakhare, Shardul Joshi, Aditi Pais

Get full text

Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

Get full text

Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony by Masaru Mitsuya, Hiroki Nishine, Hiroshi Handa, Masamichi Mineshita, Masaki Kurosawa, Tetsuo Kirimoto, Shohei Sato, Takemi Matsui, Guanghao Sun

“…Background and objective: This study aimed to enhance point-of-care pulmonary function tests by developing a novel method for the spatiotemporal analysis of chest wall movements using a sequence of depth sensor images. …”
Get full text

Detection and analysis of MSX1 gene mutations in two families with non-syndromic tooth agenesis by DING Tingting, LIU Haochen

Get full text

Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

Get full text