Comparative Analysis of Machine Learning Approaches for Fetal Movement Detection with Linear Acceleration and Angular Rate Signals by Lucy Spicher, Carrie Bell, Kathleen H. Sienko, Xun Huan

Get full text

Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023 by INDRI RAMDANI, YENNI ANGRAINI, INDAHWATI INDAHWATI

Get full text

Harnessing Semantic and Trajectory Analysis for Real-Time Pedestrian Panic Detection in Crowded Micro-Road Networks by Rongyong Zhao, Lingchen Han, Yuxin Cai, Bingyu Wei, Arifur Rahman, Cuiling Li, Yunlong Ma

Get full text

Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

Get full text

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis by Sara Maria Santos Dias da Silva, Marcelo Saito Nogueira, Jaqueline Maria Brandão Rizzato, Simone de Lima Silva, Sheila Cavalca Cortelli, Roger Borges, Herculano da Silva Martinho, Rodrigo Augusto Silva, Luis Felipe das Chagas e Silva de Carvalho

Get full text

Recurrent neural network-based automated early detection of pandemic-prone diseases through symptoms analysis by Aditika Tungal, Kuldeep Singh, Prabhsimran Singh, Ateeq Ur Rehman, Sandeep Sood, Vishnu Kant, Anand Kumar, Seada Hussen, Habib Hamam

“…Therefore, the current study employs the proposed architecture of a recurrent neural network (RNN) for the accurate identification of patients infected with COVID-19 disease through analysis of its major symptoms. Before classification, extra trees-based feature selection was used to collect the most significant features that accurately characterize COVID-19 positive or COVID-19 negative classes. …”
Get full text

Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image by Madaín Pérez-Patricio, J. A. de Jesús Osuna-Coutiño, German Ríos-Toledo, Abiel Aguilar-González, J. L. Camas-Anzueto, N. A. Morales-Navarro, J. Renán Velázquez-González, Luis Ángel Cundapí-López

“…Second, we propose a leaf detection analysis to classify and locate the boundaries between the different leaves. …”
Get full text

A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

“…The algorithm extracts high-dimensional ReID features using the Dense-Net121 network for enhanced shadow detection and calculates a cost matrix by integrating ReID feature cosine similarity with Intersection over Union similarity. …”
Get full text

Reproducing morphological features of intervertebral disc using finite element modeling to predict the course of cervical spine dorsopathy by Evgeny V. Yakovlev, Artur L. Ovsepyan, Alexander A. Smirnov, Anna A. Safronova, Dmitry A. Starchik, Sergey A. Zhivolupov, Dmitry E. Mokhov, Ekaterina S. Mokhova, Yuriy L. Vasil’ev, Sergey S. Dydykin

Get full text

Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms by Mahmood Dashti, Tara Azimi, Farshad Khosraviani, Sarina Azimian, Lina Bahanan, Houyar Zahmatkesh, Heba Ashi, Zohaib Khurshid

“…However, there was variability in sensitivity across different studies, indicating that some models are more reliable than others depending on the dataset and features used. The funnel plot analysis suggested slight asymmetry, indicating potential publication bias or heterogeneity. …”
Get full text

Eco-friendly optical sensor membrane for nickel ion detection in water and food samples by Abdullah H. Alluhayb, Alaa M. Younis, Ahmad O. Babalghith, Alaa S. Amin

Get full text

An attention-enhanced few-shot model for event detection in online social networks by Sielvie Sharma, Tanvir Ahmad, Niyaz Ahmad Wani, Naveed Ahmad, Sadique Ahmad

Get full text

Automatic Blob Detection Method for Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…The early detection of cancerous lesions is a challenging task given the cancer biology and the variability in tissue characteristics, thus rendering medical image analysis tedious and time-inefficient. …”
Get full text

Early Detection and Dynamic Grading of Sweet Potato Scab Based on Hyperspectral Imaging by Xiaosong Ning, Qiyao Xia, Fajiang Tang, Ziyu Ding, Xiawei Ding, Fanguo Zeng, Zhangying Wang, Hongda Zou, Xuejun Yue, Lifei Huang

“…Classification models, including K-nearest neighbor (KNN), support vector machine (SVM), and linear discriminant analysis (LDA), were constructed to evaluate the effectiveness of spectral features. …”
Get full text

A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…The algorithm was validated using the Mengu landslide case study, where edge detection analysis revealed a 20-fold increase in identified micro-topographical features (from 1907 to 37,452) after enhancement. …”
Get full text

A Novel Convolutional Neural Network–Long Short-term Memory Model for Interplanetary Coronal Mass Ejection Detection by Junpei Li, Hong Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo, Hao Deng

Get full text

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…Researchers have proposed numerous malware detection solutions for the past few years. Machine learning (ML) and deep learning (DL)-based detection models can decrease analysis time and increase malware detection accuracy. …”
Get full text

Dynamic Tracking and Real-Time Fall Detection Based on Intelligent Image Analysis with Convolutional Neural Network by Ching-Bang Yao, Cheng-Tai Lu

Get full text

Breast Cancer Detection Using Infrared Thermography: A Survey of Texture Analysis and Machine Learning Approaches by Larry Ryan, Sos Agaian

“…This survey uniquely focuses on integrating texture analysis and machine learning within infrared thermography for breast cancer detection, addressing the existing literature gaps, and noting that this approach achieves high-ranking results. …”
Get full text

Diagnostic performance of echocardiography for the detection of acute cardiac allograft rejection: a systematic review and meta-analysis. by Wei Lu, Jun Zheng, Xudong Pan, Lizhong Sun

Get full text