AC-YOLO: citrus detection in the natural environment of orchards by Xu Xiao, Yaonan Wang, Yiming Jiang, Haotian Wu, Zhe Zhang, Rujing Wang

“…Firstly, in the Resblock module of the YOLOv4 backbone feature extraction network, the AC network structure is integrated with different levels of feature mapping to fuse context information as small targets. …”
Get full text

Neurophysiological Approaches to Lie Detection: A Systematic Review by Bewar Neamat Taha, Muhammet Baykara, Talha Burak Alakuş

“…The goal is to summarize commonly used EEG signal processing techniques, feature extraction methods, and classification algorithms, identifying those that yield the highest accuracy in lie detection tasks. …”
Get full text

Design of Enhanced License Plate Information Recognition Algorithm Based on Environment Perception by Zilu Wang, Limin Zheng, Gang Li

“…The effectiveness of our proposed perceptual enhancement algorithm is further confirmed by the fact that when validating the China City Parking Dataset 2019 (CCPD 2019), it improves the detection rate by 24.53% compared to traditional image enhancement methods. …”
Get full text

Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…First, we incorporate the Efficient Channel Attention Network (ECANet) attention mechanism into the backbone network of YOLOv8, which improves the performance of small-target detection by adaptively enhancing the expressiveness of key features, so that the network possesses higher sensitivity and focus on tiny details in PCB images. …”
Get full text

exoALMA. IX. Regularized Maximum Likelihood Imaging of Non-Keplerian Features by Brianna Zawadzki, Ian Czekala, Maria Galloway-Sprietsma, Jaehan Bae, Marcelo Barraza-Alfaro, Myriam Benisty, Gianni Cataldi, Pietro Curone, Stefano Facchini, Daniele Fasano, Mario Flock, Misato Fukagawa, Himanshi Garg, Cassandra Hall, Thomas Hilder, Jane Huang, John D. Ilee, Andrea Isella, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Cristiano Longarini, Ryan A. Loomis, Ryuta Orihara, Christophe Pinte, Daniel J. Price, Giovanni Rosotti, Jochen Stadler, Richard Teague, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida

“…\limits^{^{\prime\prime} }15$ angular resolution and ∼100 m s ^−1 spectral resolution, characterizing disk structures and kinematics in enough detail to detect non-Keplerian features (NKFs) in the gas emission. …”
Get full text

Determined the Edges Using the ant Colony Algorithm and Apply them to Medical Images by Maha Rahman Hasso, Aseel Ali

“…The results show high accuracy in edge detection of different biomedical images with different neighbors, the proposed algorithm is implemented in C Sharp 2008 language which provides high-efficiency software visible language and speed. …”
Get full text

Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…To address this challenge, researchers propose a novel hybrid approach combining Graph Neural Networks and XGBoost algorithm for robust intrusion detection in IoT ecosystems. …”
Get full text

Three Machine Learning Techniques for Melanoma Cancer Detection by Hadi Naghavipour, GholamReza Zandi, Abdulaziz Al-Nahari

“…This paper provides an open-source tutorial on the performance of an algorithm that helps to diagnose melanoma by extracting features from dermatoscopic images and their classification. …”
Get full text

XFP-recognizer: detecting cross-file browser fingerprinting by Xiaoxi Wang, Zhenxu Liu, Chunyang Zheng, Xinyu Liu, Wei Liu, Yuling Liu, Qixu Liu

“…The dispersion of files and features in XFP effectively circumvents detection methods that primarily focus on single-file tracking. …”
Get full text

Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…Object detection and recognition algorithms are widely used in applications such as real-time monitoring and autonomous driving. …”
Get full text

Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…Abstract The timely and accurate detection of unidentified drones is crucial for public safety. …”
Get full text

Blockchain address risk behavior identification algorithm based on neural differential equations by LIANG Fei, WANG Ruili

Get full text

Improved RT-DETR Framework for Railway Obstacle Detection by Peng Li, Yanhui Peng, Su-Mei Wang, Cheng Zhong

“…However, existing algorithms face challenges related to insufficient multiscale object detection, high model redundancy, and poor real-time performance. …”
Get full text

A Novel Method for Community Detection in Bipartite Networks by Ali Khosrozadeh, Ali Movaghar, Mohammad Mehdi Gilanian Sadeghi, Hamidreza Mahyar

“…Over the past years, community detection has drawn a lot of attention. Numerous methods for community detection have been put forth. …”
Get full text

Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

Get full text

Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…To address this, we propose the IASL-YOLO algorithm, which optimizes the YOLOv8s model to enhance detection accuracy and lightweight efficiency. …”
Get full text

Android malware detection based on improved random forest by Hong-yu YANG, Jin XU

“…Aiming at the defect of vote principle in random forest algorithm which is incapable of distinguishing the differences between strong classifier and weak classifier,a weighted voting improved method was proposed,and an improved random forest classification (IRFCM) was proposed to detect Android malware on the basis of this method.The IRFCM chose Permission information and Intent information as attribute features from AndroidManifest.xml files and optimized them,then applied the model to classify the final feature vectors.The experimental results in Weka environment show that IRFCM has better classification accuracy and classification efficiency.…”
Get full text

Lithium Battery Thermal Runaway Warning Method Based on Multi-Feature Fusion by Mingwei DAI, Chunfu ZHANG, Jiawu YANG

“…[Conclusion] The early warning algorithm is able to accurately identify lithium batteries with abnormal temperature rise rates, and can promptly and precisely detect the timing and location of the opening of the safety valve in the lithium battery. …”
Get full text

Fire and Smoke Detection Based on Improved YOLOV11 by Zhipeng Xue, Lingyun Kong, Haiyang Wu, Jiale Chen

“…Traditional object detection methods rely more on manually designed features and rules. …”
Get full text

Circulating Tumor Cells Count and Morphological Features in Breast, Colorectal and Prostate Cancer. by Sjoerd T Ligthart, Frank A W Coumans, Francois-Clement Bidard, Lieke H J Simkens, Cornelis J A Punt, Marco R de Groot, Gerhardt Attard, Johann S de Bono, Jean-Yves Pierga, Leon W M M Terstappen

“…In one patient with benign tumor 2 and another 9 aCTC were detected.<h4>Significance of the study</h4>CTC can be identified and morphological features extracted by an algorithm on images stored by the CellSearch system and strongly correlate with clinical outcome in metastatic breast, colorectal and prostate cancer.…”
Get full text