<i>DSW-YOLO</i>-Based Green Pepper Detection Method Under Complex Environments by Yukuan Han, Gaifeng Ren, Jiarui Zhang, Yuxin Du, Guoqiang Bao, Lijun Cheng, Hongwen Yan

“…In this paper, a lightweight detection model <i>DSW-YOLO</i> based on improved <i>YOLOv10n</i> is proposed. …”
Get full text

PHRF-RTDETR: a lightweight weed detection method for upland rice based on RT-DETR by Xianjin Jin, Jinheng Zhang, Fei Wang, Mengyan Zhao, Yunshuang Wang, Jianping Yang, Jinfeng Wu, Bing Zhou

“…Furthermore, the RepC3 block is optimized by incorporating the RetBlock structure, resulting in RetC3, which effectively balances feature fusion and computational efficiency. …”
Get full text

Tamper detection, localization and self-recovery using slant transform with DNA encoding for medical images by Samudrala Jagadeesh, Ami Kumar Parida, K Meenakshi

“…The watermark is produced by encoding the Slant Transform (ST) coefficients of each block of the host image. DNA logistics generates the authentication bits for tamper detection. …”
Get full text

A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection by Jiusheng Chen, Yibo Zhao, Haibing Wang

“…Surface defect detection is crucial to industrial manufacturing and research for surface defects has drawn much attention. …”
Get full text

Detection of Ship Wakes in Dynamic Sea Surface Video Sequences: A Data-Driven Approach by Chengcheng Yu, Yanmei Zhang, Meifang Xiao, Zhibo Zhang

“…In order to enhance the detection of maritime vessel targets, considering the causal relationship between the motion of vessels and their wakes, as well as the characteristics of ship wakes such as large diffusion range and distinctive features, this paper proposes a data-driven method based on Dynamic Mode Decomposition (DMD) for detecting and analyzing ship wakes in sea surface videos. …”
Get full text

High resolution remote sensing image object detection algorithm based on improved YOLOv8 by ZHANG Xia, QIAO Huanyu, CAO Feng

“…Firstly, dynamic snake convolution was incorporated to make the algorithm detect objects with different scales and directions better; Secondly, in order to enable the algorithm to capture the global context information in the image with complex background, inverted residual mobile block was combined with Shift-Wise convolution . …”
Get full text

A Triple-Channel Network for Maritime Radar Targets Detection Based on Multi-Modal Features by Kaiqi Wang, Zeyu Wang

“…Especially when the signal-to-clutter ratio (SCR) is low, it is difficult to achieve high-performance detection. This paper proposes a triple-channel network model for maritime target detection based on the method of multi-modal data fusion. …”
Get full text

AS-Faster-RCNN: An Improved Object Detection Algorithm for Airport Scene Based on Faster R-CNN by Zhige He, Yuanqing He

“…However, the existing detection models have the problems of degradation, lacking of detection capability for deformed and small objects and single feature extraction, causing low detection accuracy. …”
Get full text

Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…Abstract Accurate detection of blood in CCTV surveillance footage is critical for timely response to medical emergencies, violent incidents, and public safety threats. …”
Get full text

Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques by Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S

“…With accuracy rates exceeding 98%, this framework achieves a robust, scalable solution for real-time web content analysis, providing a critical tool for cybersecurity professionals to detect and block malicious webpages before they can cause harm. …”
Get full text

Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…A critical step in this process is the detection of somas in 3D brain images, which remains a challenge due to the complex structure of the brain and the large amount of whole brain imaging data [1]. …”
Get full text

Detecting false messages in vehicular ad hoc networks based on a traffic flow model by Jizhao Liu, Weidong Yang, Junbao Zhang, Changlin Yang

“…It was shown that a higher detection accuracy could be obtained compared to previously proposed approach.…”
Get full text

An Optimized Detection Approach to Subsurface Coalfield Spontaneous Combustion Areas Using Airborne Magnetic Data by Qingfa Meng, Guoqing Ma, Lili Li, Jingyu Li

“…Based on the inversion results, we divided the survey area into nine blocks and obtained corresponding interpretation results. …”
Get full text

Microwave Foreign Object Detection in a Lossy Medium Using a Planar Array Antenna by Longzheng Yu, Peng Xu, Wenbo Li, Xiao Cai

“…To validate the proposed design, a 5 × 5 microstrip patch array antenna was fabricated and tested with colza oil as a lossy medium. A copper block immersed in the colza oil served as the foreign object for detection, demonstrating the feasibility of the non-contact detection scheme. …”
Get full text

Multichannel Aligned Feature Fusion Method for Salient Object Detection in Optical Remote Sensing Images by Weining Zhai, Liejun Wang, Panpan Zheng, Lele Li

“…Salient Object Detection (SOD), an important preprocessing part of image processing, identifies and labels the most attention-grabbing objects by simulating human vision. …”
Get full text

MFENet: A Multi-Feature Extraction Network for Enhanced Emotion Detection Using EEG and STFT by N. Ramesh Babu, Viswanathan Vadivel

Get full text

A global object-oriented dynamic network for low-altitude remote sensing object detection by Daoze Tang, Shuyun Tang, Yalin Wang, Shaoyun Guan, Yining Jin

“…This research presents a scalable object detection framework adaptable to various application scenarios and contributes a novel design paradigm for efficient deep learning-based object detection.…”
Get full text

AI Enabled Pneumonia Detection and Diagnosis Based on the Concatenation Approach: A Framework for Healthcare Sustainability by Malla Prince Priya, Sahu Sudhakar, Tadeusiewicz Ryszard, Pławiak Paweł

“…Early detection and diagnosis of pneumonia play a significant role in saving human life. …”
Get full text

Enhanced Vision-Based Quality Inspection: A Multiview Artificial Intelligence Framework for Defect Detection by Geethika Bhavanasi, Davy Neven, Manuel Arteaga, Sina Ditzel, Sam Dehaeck, Abdellatif Bey-Temsamani

“…We propose MV-UNet, a novel early fusion architecture that aligns and aggregates multiview features using a transformation block to enhance detection accuracy. To evaluate performance, we conduct our experiments on a recorded metallic plates dataset, comparing the traditional single-view inspection to both late and early fusion methods. …”
Get full text

A Spoofing Speech Detection Method Combining Multi-Scale Features and Cross-Layer Information by Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng

“…To address this issue, a speech spoofing detection method that integrates multi-scale features and cross-layer information is proposed. …”
Get full text