Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11 by Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, Idalberto Macías-Socarras, Juvenal Rodríguez-Reséndiz, Juan M. Camacho-Pérez, Gabriel Carcedo-Rodríguez, Enrique Camacho-Pérez

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Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection. by Guofeng Qin, Qinkai Zou, Mengyan Li, Yi Deng, Peiwen Mi, Yongjian Zhu, Hao Liu

“…The experimental results show that the improved YOLOv8n algorithm has a certain improvement in detection accuracy. …”
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BISMUTH MINERALS FROM YUGO-KONEVO AND POROKHOVSKOE TUNGSTEN DEPOSITS (SOUTH URALS) by A.V. Kasatkin, E.V. Belogub, A.M. Kuznetsov, K.A.Novoselov, R. Škoda, F. Nestola, D.A. Rogov

Subjects: “…yugo-konevo and porokhovskoe tungsten deposits…”
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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

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A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments by Nyi Nyi Myo, Apiwat Boonkong, Kovit Khampitak, Daranee Hormdee

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A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model by Kun Yang, Xiaohua Sun, Ruofan Li, Zhenxue He, Xinxin Wang, Chao Wang, Bin Wang, Fushun Wang, Hongquan Liu

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DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism by Cong Lin, Wencheng Jiang, Weiye Zhao, Lilan Zou, Zhong Xue

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Genomic Copy Number Variation Affecting Genes Involved in the Cell Cycle Pathway: Implications for Somatic Mosaicism by Ivan Y. Iourov, Svetlana G. Vorsanova, Maria A. Zelenova, Sergei A. Korostelev, Yuri B. Yurov

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EU ‘DEEP’ PERIPHERY: A CASE STUDY OF MOUNTAIN BORDERLANDS IN BULGARIA by BOIAN KOULOV

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Development of Deep Intelligence for Automatic River Detection (RivDet) by Sejeong Lee, Yejin Kong, Taesam Lee

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P.A.MELIKHOV: DIPLOMAT AND SCIENTIST by V. I. Dolgov

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Internet communities by R. V. Bolgov

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Political Islamic Movements in Maghreb by B. V. Dolgov

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SAINT SERGEY OF RADONEZH'S SPIRITUAL HERITAGE AND DESTINIES OF RUSSIA by K. M. Dolgov

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Facing Contemporary Moral Crisis by K. M. Dolgov

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Human Capital and Culture by K. M. Dolgov

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The genesis of eternal values by K. M. Dolgov

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‘It feels like you’ve joined the university club’: the transformative potential of Fellowship recognition for professional services staff by Caroline Ball, Chris Ribchester

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Enhancing Thyroid Nodule Detection in Ultrasound Images: A Novel YOLOv8 Architecture with a C2fA Module and Optimized Loss Functions by Shidan Wang, Zi-An Zhao, Yuze Chen, Ye-Jiao Mao, James Chung-Wai Cheung

“…To address these challenges, YOLO-Thyroid, an improved model for the automatic detection of thyroid nodules in ultrasound images, is presented herein. Building upon the YOLOv8 architecture, YOLO-Thyroid introduces the C2fA module—an extension of C2f that incorporates Coordinate Attention (CA)—to enhance feature extraction. …”
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Research on Fine‐Grained Phenotypic Analysis of Temporal Root Systems – Improved YoloV8seg Applied for Fine‐Grained Analysis of In Situ Root Temporal Phenotypes by Qiushi Yu, Meng Zhang, Liuli Wang, Xingyun Liu, Lingxiao Zhu, Liantao Liu, Nan Wang

“…This study demonstrates the feasibility of instance segmentation tasks on in situ root system images. An improved YoloV8n‐seg network tailored for detecting elongated roots is proposed, which outperforms the original YoloV8seg in all network performance metrics. …”
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