Mathematical algorithm for the automatic recognition of intestinal parasites. by Alicia Alva, Carla Cangalaya, Miguel Quiliano, Casey Krebs, Robert H Gilman, Patricia Sheen, Mirko Zimic

“…The principal result showed that our algorithm reached sensitivities between 99.10%-100% and specificities between 98.13%- 98.38% to detect each parasite separately. …”
Get full text

Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Faeiz M. Alserhani, Piyush Kumar Shukla, J. Shreyas

Subjects: “…Hybrid Extraction of Features Algorithm (HEFA)…”
Get full text

SIGNAL DETECTION WITH UNKNOWN PARAMETERS by Y. A. Sidorkina, V. V. Antipov

“…Is shown that an FFT algorithm should be performed while detecting the signal with unknown frequency, the maximum value of all spectral samples should be found and compared to the detection threshold. …”
Get full text

Community detection on simplicial complexes by Ermolaev Egor

“…This study presents enhanced Simplex2Vec, an adaptation of the Simplex2Vec algorithm, to facilitate community detection within such structures. …”
Get full text

Research on Microscale Vehicle Logo Detection Based on Real-Time DEtection TRansformer (RT-DETR) by Meiting Jin, Junxing Zhang

“…To address this issue, we propose a microscale vehicle logo dataset (VLD-Micro) that improves the detection of distant vehicle logos. Building upon the RT-DETR algorithm, we propose a lightweight vehicle logo detection algorithm for long-range vehicle logos. …”
Get full text

Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models by Yasmine Gaaloul, Olfa Bel Hadj Brahim Kechiche, Houcine Oudira, Aissa Chouder, Mahmoud Hamouda, Santiago Silvestre, Sofiane Kichou

“…This paper introduces a novel approach for fault detection and diagnosis in large-scale PV systems, utilizing power loss analysis and predictive models based on Random Forest (RF) and K-Nearest Neighbors (KNN) algorithms. …”
Get full text

Deepfakes Detection by Iris Analysis by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

“…Our experimental results on the Flickr-Faces-HQ (FFHQ) dataset and images obtained from StyleGAN2 demonstrate that our algorithm achieves a remarkable detection accuracy of 0.979 and 0.921 sensitivity. …”
Get full text

Enhancing Object Detection in Dense Images: Adjustable Non-Maximum Suppression for Single-Class Detection by Kyeongmi Noh, Seul Ki Hong, Stephen Makonin, Yongkeun Lee

“…Deep learning-based object detection technology often relies on non-maximum suppression (NMS) algorithms to eliminate redundant detections. …”
Get full text

CGDU-DETR: An End-to-End Detection Model for Ship Detection in Day–Night Transition Environments by Wei Wu, Xiyu Fan, Zhuhua Hu, Yaochi Zhao

“…To address the limitations of traditional methods in complex lighting conditions (e.g., strong reflections, low light), we designed a novel CG-Net model based on cascaded group attention and introduced a dynamic feature upsampling algorithm, effectively enhancing the model’s ability to extract multi-scale features and detect targets in complex backgrounds. …”
Get full text

Framelet transform based edge detection for straight line detection from remote sensing images by Vidhya Rangasamy, Sulochana Subramaniam

“…The detected edges are further subjected to line detection algorithms such as standard Hough transform, small eigenvalue analysis and principal component analysis. …”
Get full text

Deep Learning for Early Earthquake Detection: Application of Convolutional Neural Networks for P-Wave Detection by Dauren Zhexebay, Alisher Skabylov, Margulan Ibraimov, Serik Khokhlov, Aldiyar Agishev, Gulnur Kudaibergenova, Aibala Orazakova, Almansur Agishev

“…In contrast, traditional methods such as the short-term average/long-term average (STA/LTA) algorithm and the Akaike information criterion (AIC) have limitations in detecting primary (P) waves in high-noise conditions, caused by industrial and anthropogenic disturbances. …”
Get full text

Spatial Shape-Aware Network for Elongated Target Detection by Shaowen Xu, Der-Horng Lee

Get full text

Avatar Detection in Metaverse Recordings by Felix Becker, Patrick Steinert, Stefan Wagenpfeil, Matthias L. Hemmje

“…Our work addresses the characterizations and definitions of avatars and presents a new model that supports avatar detection. The latest object detection algorithms are trained and tested on a variety of avatar types in metaverse recordings. …”
Get full text

An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

Subjects: “…Intrusion detection system…”
Get full text

Research on demodulation technology of fiber Bragg grating sensor based on generalized regression neural network by XIA Xiang, LI Xianliang, PAN Hua, YAN Dong, ZHANG Xiaofeng, ZHANG Yunhui

Subjects: Get full text

Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

Subjects: Get full text

SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…Infrared small target detection (IRSTD) is the process of recognizing and distinguishing small targets from infrared images that are obstructed by crowded backgrounds. …”
Get full text

Editorial: Harnessing machine learning to decode plant-microbiome dynamics for sustainable agriculture by Mohsen Yoosefzadeh Najafabadi, Eman M. Khalaf, Eman M. Khalaf, Mohamed Mysara, Ahmed M. El-Baz

Subjects: “…crop disease detection…”
Get full text

A Learning Probabilistic Boolean Network Model of a Manufacturing Process with Applications in System Asset Maintenance by Pedro Juan Rivera Torres, Chen Chen, Sara Rodríguez González, Orestes Llanes Santiago

Subjects: “…fault detection and isolation…”
Get full text

Multisensor Diffusion-Driven Optical Image Translation for Large-Scale Applications by Joao Gabriel Vinholi, Marco Chini, Anis Amziane, Renato Machado, Danilo Silva, Patrick Matgen

Subjects: “…Change detection algorithms…”
Get full text