Educate to Detect: Conducting First Detector Training in Florida by Amanda Hodges, Jennifer Gillett-Kaufman, Carrie Harmon, Aaron Palmateer, Pamela Roberts, Adrian Hunsberger, Sylvia Shives, Theresa Friday, Jiannong Xin

“…ENY-501, a 5-page fact sheet by Amanda Hodges, Jennifer Gillett-Kaufman, Carrie Harmon, Aaron Palmateer, Pamela Roberts, Adrian Hunsberger, Sylvia Shives, Theresa Friday, and Jiannong Xin, answers questions about the NPDN First Detector training program, which promote the early detection and proper identification of potentially devastating exotic species through a coordinated extension education effort. …”
Get full text

Educate to Detect: Conducting First Detector Training in Florida by Amanda Hodges, Jennifer Gillett-Kaufman, Carrie Harmon, Aaron Palmateer, Pamela Roberts, Adrian Hunsberger, Sylvia Shives, Theresa Friday, Jiannong Xin

“…ENY-501, a 5-page fact sheet by Amanda Hodges, Jennifer Gillett-Kaufman, Carrie Harmon, Aaron Palmateer, Pamela Roberts, Adrian Hunsberger, Sylvia Shives, Theresa Friday, and Jiannong Xin, answers questions about the NPDN First Detector training program, which promote the early detection and proper identification of potentially devastating exotic species through a coordinated extension education effort. …”
Get full text

Mathematical Background and Algorithms of a Collection of Android Apps for a Google Play Store Page by Roland Szabo

Get full text

Applications of Theranostics for Detecting and Targeting CNS Injuries and Diseases by Yu-Yo Sun, Horacio Soto, Chung-Feng Kao, Cui Mei, Muh-Shi Lin

Get full text

MODERN DIAGNOSTIC TOOLS FOR DETECTING HEPATIC FIBROSIS IN CHILDREN by A.N. Surkov

“…The present review highlights the new diagnostic tools for detecting hepatic fibrosis against the backdrop of different liver pathologies in children. …”
Get full text

Microfluidic Nanobiosensor Detection of Botulinum Neurotoxin Serotype A by Shruthi Srinivasan, Khoa Letran, Salim Nasir, Kyung Sung, Johnny Lam, Yun Wang, Timothy V. Duncan

Get full text

Photoacoustic imaging detects cerebrovascular pathological changes in sepsis by Zhigang Wang, Changpeng Ai, Ting Sun, Zhiyang Wang, Wuyu Zhang, Feifan Zhou, Shengnan Wu

Get full text

A comparative study of wavelet families for schizophrenia detection by E. Sathiya, T. D. Rao, T. Sunil Kumar

“…Schizophrenia (SZ) is a chronic mental disorder, affecting approximately 1% of the global population, it is believed to result from various environmental factors, with psychological factors potentially influencing its onset and progression. Discrete wavelet transform (DWT)-based approaches are effective in SZ detection. …”
Get full text

Optical-Theorem-Based Holography for Target Detection and Tracking by Mohammadrasoul Taghavi, Edwin A. Marengo

“…In addition, the proposed methodology also enables the development of customized sensors that leverage a controllable complex multiple-scattering medium and the derived holographic sensing technology for real-time particle detection and tracking. We demonstrate, with the help of realistic computer simulations, holographic techniques capable of detecting and tracking small particles under such conditions and analyze the role of multiple scattering in enhancing detection performance. …”
Get full text

Methods for Detection and Mapping of Methylated and Hydroxymethylated Cytosine in DNA by Olga Kisil, Alexander Sergeev, Anna Bacheva, Maria Zvereva

“…The growing importance of 5hmC has prompted the development of a multitude of methods for the qualitative and quantitative analysis of 5hmC in recent years, thereby facilitating researchers’ understanding of the mechanisms underlying the onset and progression of numerous diseases. This review covers both established and novel methods for the detection of cytosine modifications, including 5mC, 5hmC, 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC), with a particular focus on those that allow for accurate mapping and detection, particularly with third-generation sequencing. …”
Get full text

Marble Surface Anomaly Detection Using Autoencoder Architecture by Yahya Abdullah, Cemil Öz

“…In previous research, many methods such as wavelet transform, Gabor transform, co-occurrence matrix and artificial neural network were implemented in defect detection (fabric or other tasks). In this study we built a platform that aims to detect anomalies on marble surfaces using Autoencoders architecture, Keras library and Python programming language. …”
Get full text

A survey of 3D object detection algorithms by Zhe HUANG, Yongcai WANG, Deying LI

“…3D object detection is a fundamental problem in autonomous driving，virtual reality，robotics，and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds，such as the closest 3D box surrounding the pedestrians or vehicles.The target 3D box's location，size，and orientation are also output.Currently，there are two primary approaches for 3D object detection: (1) pure point cloud based 3D object detection，in which the point clouds are created by binocular vision，RGB-D camera，and lidar; (2) fusion-based 3D object detection based on the fusion of image and point cloud.The various representations of 3D point clouds were introduced.Then representative methods were introduced from three aspects: traditional machine learning techniques; non-fusion deep learning based algorithms; and multimodal fusion-based deep learning algorithms in progressive relation.The algorithms within and across each category were examined and compared，and the differences and connections between the various methods were analyzed thoroughly.Finally，remaining challenges of 3D object detection were discussed and explored.And the primary datasets and metrics used in 3D object detection studies were summarized.…”
Get full text

GaLAM: Two-Stage Outlier Detection Algorithm by Xiaojun Lu, Zhe Yan, Ziyun Fan

“…In the second stage, Progressive Sample Consensus (PROSAC) is used to sample seed points that align with the fundamental matrix, followed by filtering outliers based on projection deviation. …”
Get full text

Prediabetes detection in unconstrained conditions using wearable sensors by Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos, Apostolos Tsapas, Anastasios Delopoulos

“…Summary: Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention and prevention of complications. …”
Get full text

Fire Detection with Deep Learning: A Comprehensive Review by Rodrigo N. Vasconcelos, Washington J. S. Franca Rocha, Diego P. Costa, Soltan G. Duverger, Mariana M. M. de Santana, Elaine C. B. Cambui, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro

Get full text

In silico detection of sequence variations modifying transcriptional regulation. by Malin C Andersen, Pär G Engström, Stuart Lithwick, David Arenillas, Per Eriksson, Boris Lenhard, Wyeth W Wasserman, Jacob Odeberg

“…Identification of functional genetic variation associated with increased susceptibility to complex diseases can elucidate genes and underlying biochemical mechanisms linked to disease onset and progression. For genes linked to genetic diseases, most identified causal mutations alter an encoded protein sequence. …”
Get full text

Forest Fire Detection Using Wireless Sensors and Networks by Mingyue Wang

“…In this work, all nodes only use temperature sensors and they are programmed on a certain threshold temperature, above it the node will send an alarm message to the sink. …”
Get full text

The application of deep learning in early enamel demineralization detection by Ketai He, Rongxiu Zhang, Muchun Liang, Keyue Tian, Kaihui Luo, Ruoshi Chen, Jianpeng Ren, Jiajun Wang, Juan Li

“…The model accurately segmented tooth surfaces and detected demineralized areas, allowing for precise detection of demineralized areas and monitoring of lesion progression. …”
Get full text

Artificial Intelligence for Fault Detection of Automotive Electric Motors by Federico Soresini, Dario Barri, Ivan Cazzaniga, Federico Maria Ballo, Gianpiero Mastinu, Massimiliano Gobbi

“…The algorithm effectively detects potential motor failures in real-world scenarios, including bearing faults, mechanical misalignments, and progressive wear of components, thereby proactively preventing damage and halving test bench downtime.…”
Get full text

Image Processing for Laser Impact Detection in Shooting Simulators by José Antonio García Torres, Daniel Guzmán Pérez, Jhon Fredy Rincón Morantes, Daniel Felipe Molina Martínez, Cristian Camilo García Rodríguez, Jhonnatan Eduardo Zamudio Palacios

“…Simulation systems play a crucial role in firearms training by offering advantages such as the progressive improvement of shooting skills, reduced logistical costs, ammunition savings, and decreased need for personnel deployment to shooting ranges. …”
Get full text