Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint by Yanan Guan, Huaping Xu, Wei Li, Chunsheng Li

“…The main challenge in ship wake detection is to improve detection accuracy and mitigate false alarms. …”
Get full text

MRI detects blood-brain barrier alterations in a rat model of Alzheimer’s disease and lung infection by Yolanda Ohene, William J. Morrey, Elizabeth Powell, Katherine F. Smethers, Nadim Luka, Kieron South, Michael Berks, Catherine B. Lawrence, Geoff. J. M. Parker, Laura M. Parkes, Hervé Boutin, Ben R. Dickie

“…Higher BBB water exchange rate is initially detected in infected TgF344-AD rats. BBB water exchange rates correlated with hippocampus aquaporin-4 water channel expression in infected animals. …”
Get full text

An Outlier Detection Approach to Recognize the Sources of a Process Failure within a Multivariate Poisson Process by Chia-Ding Hou, Rung-Hung Su

“…The study focuses on the causes that lead to process shifts in multivariate Poisson processes, unlike the majority of studies examining shifts in multivariate normal processes. This paper initially presents a statistical method for detecting outliers in a multivariate Poisson distribution. …”
Get full text

Investigation of Effectiveness of Some Vibration-Based Techniques in Early Detection of Real-Time Fatigue Failure in Gears by Hasan Ozturk, Isa Yesilyurt, Mustafa Sabuncu

“…It has been found that the initiation and progression of fatigue crack cannot be easily detected by conventional time and frequency domain approaches until the fault is significantly developed. …”
Get full text

Enhanced YOLOv8-based method for space debris detection using cross-scale feature fusion by Yang Guo, Xianlong Yin, Yao Xiao, Zhengxu Zhao, Xu Yang, Chenggang Dai

“…To address these intricate celestial background conditions, an enhanced YOLOv8-based method for spatial debris detection is introduced into this study. Initially, a cross-scale feature fusion module is incorporated into the neck network, followed by a subtle processing step for the feature fusion component. …”
Get full text

Incidentally detected giant superior mesenteric artery aneurysm in a patient with suspected mantle cell lymphoma by Joanna Elżbieta Kobak, Stanisław Przywara, Michał Terpiłowski, Wacław Karakuła, Piotr Terlecki

“…SMAA often presents as symptomatic at the time of detection with symptoms similar to common abdominal emergencies. …”
Get full text

Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy by Giovanni Di Lorenzo, Franco Angelini, Michele Pierallini, Simone Tolomei, Davide De Benedittis, Agnese Denaro, Giovanni Rivieccio, Maria Carmela Caria, Federica Bonini, Anna Grassi, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Simona Maccherini, Barbara Valle, Marina Serena Borgatti, Simonetta Bagella, Daniela Gigante, Claudia Angiolini, Marco Caccianiga, Manolo Garabini

“…Abstract The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. …”
Get full text

Applications of Artificial Intelligence Enhanced Drones in Distress Pavement, Pothole Detection, and Healthcare Monitoring with Service Delivery by Yue Wang, Tian Ye

“…Artificial Intelligence (AI) has fascinated the present study assigned to multiple areas such as distress detection on the pavement, pothole detection, and healthcare. …”
Get full text

BREAST-CAD: A Computer-Aided Diagnosis System for Breast Cancer Detection Using Machine Learning by Riyam M. Masoud, Ramadan Madi Ali Bakir, M. Sabry Saraya, Sarah M. Ayyad

“…This research presents a novel Computer-Aided Diagnosis (CAD) system called BREAST-CAD, developed to support clinicians in breast cancer detection. Our approach follows a three-phase methodology: Initially, a comprehensive literature review between 2000 and 2024 informed the choice of a suitable dataset and the selection of Naive Bayes (NB), K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Decision Trees (DT) Machine Learning (ML) algorithms. …”
Get full text

Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques by Vassilis S. Kodogiannis, Abeer Alshejari

“…Based on the acquired results, the proposed analytical concept could potentially provide an alternative approach towards the efficient detection of meat spoilage.…”
Get full text

Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology. by Li Jiaqing, Song Fei, Xiao Zidong, Zhu Longji, Chen Lan, Wei Zheliang

“…To address the non-stationary nature of acoustic emission (AE) signals during crack initiation and propagation, this study combines the K-singular value decomposition (K-SVD) dictionary learning algorithm with convolutional neural networks (CNN) to enhance AE signal processing and fatigue crack detection. …”
Get full text

Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Muhammed Faheem

“…At the same time, a high‐level security method may refer to an intrusion detection system|intrusion detection systems (IDS), which may be employed effectively to achieve a higher level of security in detecting an intruder attack or any attack initiated within a WSN system. …”
Get full text

An innovative traffic flow detection model based on temporal video frame analysis and grayscale aggregation quantification by Xin Liu, Qiao Meng, Xin Li, Zhijie Wang, Siyuan Kong, Bingyu Li

“…Abstract Current traffic status detection methods heavily rely on historical traffic flow data and vehicle counts. …”
Get full text

5-Hydroxymethylcytosine modifications in circulating cell-free DNA: frontiers of cancer detection, monitoring, and prognostic evaluation by Danjun Song, Zhou Zhang, Jiaping Zheng, Wei Zhang, Jiabin Cai

“…Genetic and epigenetic alterations in circulating cell-free DNA (cfDNA) have emerged as transformative tools for advancing early cancer detection, monitoring, and improving patient outcomes. …”
Get full text

Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
Get full text

A comprehensive dataset of rice leaf images for disease detection using machine learningMendeley Data by Afif Hasan, Tanvir Almas Layes, Arafat Sahin Afridi, Shakhawath Hossain Rifat, Fernaz Narin Nur, Nazmun Nessa Moon

“…The dataset serves as a rich resource for developing machine learning models for the automatic detection of rice diseases. This initiative aims to enable early disease detection, promote sustainable farming practices, and improve food security, particularly in rice-dependent developing countries.…”
Get full text

Evaluation of MAGLUMI syphilis test for accurate detection of syphilis antibodies in blood donors and suspected syphilis cases by Wei Fang, Yun Zhang, Min Shi, Yuqin Liao, Lanhuan Peng, Hailin Zhong, Jun Yin, Taoran Mo, Heng Li, Zhonggang Fang

“…BackgroundThe diagnosis of syphilis is critical to initiate treatment at an early stage and control the syphilis epidemic. …”
Get full text

Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devices. by Miray Gunay Bulut, Sencer Unal, Mohamed Hammad, Paweł Pławiak

“…Cardiac rhythm disorders can manifest in various ways, such as the heart rate being too fast (tachycardia) or too slow (bradycardia), irregular heartbeats (like atrial fibrillation-AF, ventricular fibrillation-VF), or the initiation of heartbeats in different areas from the norm (extrasystole). …”
Get full text

Fractional Artificial Protozoa Optimization Enabled Deep Learning for Intrusion Detection and Mitigation in Cyber-Physical Systems by Shaik Abdul Rahim, Arun Manoharan

“…First, the CPSs module is initialized, and then the attack mitigation is carried out. …”
Get full text

Enhancing Brain Tumor Detection on MRI Images Using an Innovative VGG-19 Model-Based Approach by Burhan Ergen, Abdullah Şener

“…Early detection and diagnosis of brain tumors have a critical impact on the treatment of brain tumor patients. …”
Get full text