BOLT LOOSENING ANGLE DETECTION METHOD BASED ON COLOR SEGMENTATION by KANG Jingjie, ZHANG Lijun, SUN Yuandong, YANG Xiaoyu, WANG Ruolan, ZHAO Tianhao

“…To achieve quantitative detection of bolt loosening angles through single frame images, a method based on color segmentation and connected domain feature processing was designed. …”
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Research Progress on Non-destructive Detection Techniques for Potatoes Quality by YANG Guang-hui, LI Hong-ling, ZHANG Hua, LI Hui, LIU Xiao-long, JIA Shang-yun, HU Bo, SHANG Yi-bo

“…Since the “14th Five-Year Plan”, with the continuous deepening of the “three rural work”, the quality inspection and grading of potatoes have played a decisive role in the expansion of the potato industry and the development of the processing industry. Aiming at the problems of traditional manual potato quality classification, such as high labor intensity, low efficiency, easy to cause secondary damage, and inability to judge internal quality, this article elaborated on the research progress of domestic and foreign hyperspectral detection technology, near-infrared spectroscopy detection technology, machine vision detection technology, and ultrasonic detection technology in the application of internal and external quality detection of potatoes. …”
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Detection and monitoring of stress using wearables: a systematic review by Anuja Pinge, Vinaya Gad, Dheryta Jaisighani, Surjya Ghosh, Sougata Sen

“…In this paper, we present a systematic review of the different types of sensors and wearable devices used by researchers to detect and monitor stress in individuals. We identify and detail the tasks such as data collection, data pre-processing, features computation, and training of the model explored by such research works. …”
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Diffusion tensor imaging for detecting biomarkers of idiopathic epilepsy in dogs by Grace T. Kadler, Alex zur Linden, Luis Gaitero, Fiona M. K. James

“…Using DTI to better understand neurostructural abnormalities associated with IE and ASM resistance might help refine diagnostic approaches and treatment processes in veterinary medicine.…”
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No genetic structure detected in multiple Brazilian marine fish species by Julia Tovar Verba, Adam Stow, Priscila F. M. Lopes, Maria Grazia Pennino, Antonio Sole-Cava, Sergio Maia Queiroz Lima

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Semi-supervised permutation invariant particle-level anomaly detection by Gabriel Matos, Elena Busch, Ki Ryeong Park, Julia Gonski

“…Performance of the ANTELOPE architecture is evaluated on simulated samples of hadronic processes in a high energy collider experiment, showing good capability to distinguish disparate models of new physics.…”
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Hyperspectral target detection based on graph sampling and aggregation network. by Tie Li, Hongfeng Jin, Zhiqiu Li

“…To comprehensively utilize the spectral information encapsulated within hyperspectral images and more effectively handle the intricate and irregular structures among pixels in complex hyperspectral data, a novel graph sampling aggregation network model is put forward for hyperspectral target detection. Notably, before this study, graph sampling aggregation networks had scarcely been employed in the realm of hyperspectral target detection. …”
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Authenticity at Risk: Key Factors in the Generation and Detection of Audio Deepfakes by Alba Martínez-Serrano, Claudia Montero-Ramírez, Carmen Peláez-Moreno

“…Various elements, such as complex acoustic backgrounds, enhance the realism of deepfakes; however, their effect on the processes of creation and detection of deepfakes remains under-explored. …”
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An Ensemble-Based Approach for Detecting Clickbait in Indonesian Online Media by Sandy Kurniawan, Adhe Setya Pramayoga, Yeva Fadhilah Ashari

“…The dataset consists of labeled clickbait and non-clickbait headlines in Bahasa Indonesia, which were processed and represented using TF-IDF vectorization. …”
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Enhanced multiscale plant disease detection with the PYOLO model innovations by Yirong Wang, Yuhao Wang, Jiong Mu, Ghulam Raza Mustafa, Qianqian Wu, Ying Wang, Bi Zhao, Siyue Zhao

“…Finally, the MHC2f mechanism is designed to enhance the model’s ability to perceive complex backgrounds and targets at different scales by utilizing its self-attention mechanism for parallel processing. Experiments demonstrate that the model’s mAP value increases by 4.1% compared to YOLOv8n, confirming its superiority in plant disease detection.…”
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Custom YOLO Object Detection Model for COVID-19 Diagnosis by Noor Najah Ali, Aseel Hameed, Asanka G. Perera, Ali Al_Naji

“…Clinical staff can benefit from Computer Aided Diagnostics (CAD) systems that combine deep learning algorithms and image processing technologies as diagnostic tools for COVID-19. …”
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A Review on Glaucoma Disease Detection Using Computerized Techniques by Faizan Daud, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A. U. Khan, Syed Saud Naqvi

“…Readers would be able to understand the challenges glaucoma presents from an image processing and machine learning stand-point and will be able to identify gaps in current research.…”
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Essential functions, syntheses and detection of sialyl Lewis X on glycoproteins by Qiushi Chen, Han Liu, Xuechen Li

“…It presents as a terminal structure on either glycoproteins or glycolipids and has been demonstrated to be related to various biological processes, such as fertilization and selectin binding. …”
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Algorithm Used to Detect Weak Signals Covered by Noise in PIND by G. T. Wang, X. W. Liang, Y. Y. Xue, C. Li, Q. Ding

“…Detection of the loose particles is urgently required in the spacecraft production processes. …”
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Colorimetric Biosensors: Advancements in Nanomaterials and Cutting-Edge Detection Strategies by Yubeen Lee, Izzati Haizan, Sang Baek Sim, Jin-Ha Choi

“…Colorimetric-based biosensors are practical detection devices that can detect the presence and concentration of biomarkers through simple color changes. …”
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Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…The described system of automatic detection and location of infrasound signals can be used for monitoring dangerous natural and man-made processes and phenomena in a mode close to real time.…”
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Bacterial Disease Detection of Cherry Plant Using Deep Features by Hatice Kayhan, Emrah Dönmez, Yavuz Ünal

“…In addition, cherry producers are trying to detect diseases with their knowledge based on experience. …”
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Non-invasive vital parameter detection using neuromorphic cameras by Huhs Niklas, Kalashtari Niloofar, Kraitl Jens, Hornberger Christoph, Simanski Olaf

“…The non-invasive detection of vital parameters is gaining significance in the medical field through the use of various established and novel camera technologies and the use of artificial intelligence for data processing. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…This Special Issue on “Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data” presents innovative strategies leveraging remote sensing technologies, artificial intelligence (AI), and non-destructive testing (NDT) to optimize road infrastructure assessment. …”
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Comparison of Detection and Classification Algorithms Using Boolean and Fuzzy Techniques by Rahul Dixit, Harpreet Singh

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