Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions by Duokuo Zhang, Na Li, Mingfu Zhao, Kun Xu

“…Simultaneously, the Efficient Multi-Scale Attention (EMA) mechanism is introduced after MSFM, enabling the model to flexibly adjust the attention allocated to different regions within the image, thus enhancing its robustness to complex lighting variations. …”
Get full text

Detection of false position attacks in VANETs through bagging ensemble learning. by Bekan Kitaw Mekonen, Lemi Bane, Negasa Berhanu Fite

“…MLP with bagging shows strong results for simpler attacks but underperforms in complex scenarios. The proposed framework highlights the effectiveness of ensemble techniques, particularly KNN with bagging, in safeguarding VANET communication systems, offering a scalable, efficient, and robust solution for VANET security.…”
Get full text

Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…The goal is to enhance the model's detection accuracy and robustness in complex scenarios. …”
Get full text

SR-DETR: Target Detection in Maritime Rescue from UAV Imagery by Yuling Liu, Yan Wei

“…Specifically, the conventional multi-head self-attention (MHSA) mechanism is replaced with Efficient Additive Attention (EAA), which facilitates more efficient feature interaction while substantially reducing computational complexity. …”
Get full text

An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds by Yawen Cheng, Ni Ren, Anqi Hu, Lingli Zhou, Chao Qi, Shuo Zhang, Qian Wu

“…We enhanced a novel heatmap-free method, YOLOv8s-pose, by integrating the Convolutional Block Attention Module (CBAM) and Content-Aware ReAssembly of FEatures (CARAFE), to develop an improved YOLOv8s-pose (IYOLOv8s-pose) model, which efficiently focuses on salient image features with minimal parameter overhead while achieving a superior recognition performance in complex backgrounds. …”
Get full text

Real-Time Explainable Multiclass Object Detection for Quality Assessment in 2-Dimensional Radiography Images by Sadra Naddaf-Sh, M-Mahdi Naddaf-Sh, Hassan Zargarzadeh, Maxim Dalton, Soodabeh Ramezani, Gabriel Elpers, Vinay S. Baburao, Amir R. Kashani

Get full text

Construction and application of march tests for pattern sensitive memory faults detection by V. N. Yarmolik, V. A. Levantsevich, D. V. Demenkovets, I. Mrozek

“…In addition, the estimates of the mean value of the multiplicity of the MATS++, March C− and March PS tests, obtained on the basis of a mathematical model describing the problem of the coupon collector, and ensuring the detection of all k2k PNPSFk faults are given. The validity of analytical estimates is experimentally shown and the high efficiency of PNPSFk fault detection is confirmed by tests of the March PS type.…”
Get full text

Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones by Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner

“…The pervasive threat of landmines across conflict-affected regions necessitates advancements in detection technologies to enhance safety and efficiency in demining efforts. …”
Get full text

An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…The diverse types of fake text generation practices by spammer make spam detection challenging. Existing works use manually designed discrete textual or behavior features, which cannot capture complex global semantics of text and reviews. …”
Get full text

Informer-based DDoS attack detection method for the power Internet of Things. by Wei Cui, Xiao Liao, Yang Yang, Shiying Feng, Mingyan Song

“…Experimental results on the CICIDS-2018 dataset demonstrate the effectiveness of our approach, showing significant improvements in detection accuracy and efficiency. Our findings suggest that the proposed method offers a promising solution for real-time intrusion detection in complex power grid environments.…”
Get full text

Emerging technologies for detecting antibiotics in aquaculture wastewater: A critical review by Xinyu Chang, Junchi Cui, Guihua Wang, Shujuan Meng, Lingling Chen, Meng Zhang

“…Consequently, accurate and efficient detection methods for antibiotics, particularly within complex environmental matrices, are essential. …”
Get full text

Deep Learning in Defect Detection of Wind Turbine Blades: A Review by Katleho Masita, Ali N. Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Additionally, transfer learning and attention mechanisms have been instrumental in enhancing the precision and speed of defect detection, enabling real-time applications. Notable approaches like YOLO (You Only Look Once) and its variants have shown exceptional performance in detecting defects with varying scales and complexities, leveraging innovations such as feature pyramid networks and efficient loss functions. …”
Get full text

Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection by Zongduo Liu, Yan Huang, Jian Wang, Genji Yuan, Junjie Pang

“…Accurate and efficient bacterial detection is essential for public health and medical diagnostics. …”
Get full text

Study on lightweight strategies for L-YOLO algorithm in road object detection by Ji Hong, Kuntao Ye, Shubin Qiu

“…Abstract With the increasing complexity of urban traffic, object detection has become critical in autonomous driving and intelligent traffic management. …”
Get full text

Change Detection on Remote Sensing Images Using Multidimensional Attention Network by Yiming Zhang, Mingliang Xue, Yao Lu, Xuan Liang, Pengyuan Niu, Xueqian Wang, You He

“…It incorporates a novel multidimensional attention mechanism that effectively captures fine-grained details for small object detection, while maintaining computational efficiency and robustness in handling complex scenes. …”
Get full text

YOLO-SAD: Enhancing Small Aircraft Detection With Multi-Scale Context and Improved Gradient Flow by Xin Ning, Hongchang Ding, Xiaoqiang Guo

“…These results emphasize the robustness and efficiency of YOLO-SAD, establishing a new performance benchmark for small object detection in complex real-world scenarios.…”
Get full text

Detecting DDoS attack based on compensation non-parameter CUSUM algorithm by YAN Fen1~3, CHEN Yi-qun3, HUANG Hao1, YIN Xin-chun3

“…t,calculated the ratio of the number of unacknowledged segments and the number of all segments.Then,the statistical sequence based on time came into being.After that,an improved non-parameter recursive CUSUM algorithm was used to detect attack effi-ciently on line.In this procedure,the suspicious packets were also recorded.Experiments prove that this algorithm is fast and efficient.It has low false-positive rate and could adapt to more complex network environments.In addition,it is helpful to attack analysis and tracing.…”
Get full text

Fast and Accurate Detection of Forty Types of Fruits and Vegetables: Dataset and Method by Xiaosheng Bu, Yongfeng Wu, Hongtai Lv, Youling Yu

“…However, existing detection methods typically focus on identifying a single type of fruit or vegetable and are not equipped to handle complex and diverse environments. …”
Get full text

Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8 by Tianxin Zhang, Fuwei Wang, Weimin Wang, Qihao Zhao, Weijun Ning, Haodong Wu

“…Fire has consistently posed a significant disaster risk worldwide. Current fire detection methods primarily rely on traditional physical sensors such as light, smoke, and temperature detectors, which often struggle in complex environments. …”
Get full text

Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…This interpretable, patient-specific method enables the development of personalized, efficient, and compact wearable devices for reliable seizure detection in everyday life.…”
Get full text