A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering by XUE Xiaohui, ZHANG Wen, ZHANG Jing, CHEN Yan, ZHOU Chun, CHEN Liang, CAO Zengwei

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Novi top 'BISON' kao deo modernizovane švajcarske artiljerije, International defense review, 1990 by M.P.

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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…Deep learning models have become essential for automated medical image analysis in brain tumor detection. Existing Convolutional Neural Network (CNN) models like Visual Geometry Group 19 (VGG19), Residual Network 18 (ResNet18), and Residual Network 34 (ResNet34), despite their success in image classification and recognition, face challenges such as unclear boundary detection, limited generalization, and lower computational efficiency in detecting brain tumors. …”
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The Relationship Between Satisfaction with Complaint Handling and Repurchase Intentions: Detecting Moderating Influences in E-Tail by Mateus Nagel, Cristiane Pizzutti dos Santos

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Advancements in Nanotechnology for Enhanced Food Safety and Hygiene: Pathogen Detection, Smart Packaging, and Preservation Applications by Farhang Hameed Awlqadr, Ammar B. Altemimi, Qausar Hamed AlKaisy, Syamand Ahmed Qadir, Aryan Mahmood Faraj, Tablo Azad H.Slih, Rawaa H. Tlay, Tarek Gamal Mohamed Abd El-Maksoud, Franscesco Cacciola

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Evaluation of Associated Structural and Chromosomal Abnormalities in Patients with Fetal Cerebral Ventriculomegaly Detected in Ultrasonographic Imaging by Erkan Cagliyan, Samican Ozmen, Sureyya Saridas Demir, Ceren Aydin, Egehan Bilen, Handan Guleryuz, Elif Yasar, Derya Ercal, Elcin Bora, Tufan Cankaya

“…Aneuploidy in ventriculomegaly is detected especially in moderate and severe ventriculomegaly accompanied by structural anomalies. …”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

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On-site quantitative detection of fentanyl in heroin by machine learning-enabled SERS on super absorbing metasurfaces by Yingkun Zhu, Haomin Song, Ruiying Liu, Yunyun Mu, Murali Gedda, Abdullah N. Alodhay, Lei Ying, Qiaoqiang Gan

“…Our study introduces a novel approach for on-site quantitative detection of fentanyl in heroin, employing machine learning-enabled surface-enhanced Raman spectroscopy (SERS) on superabsorbing metasurfaces. …”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

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Microgrid Islanding Detection Using D-PMU and Phase Angle Analysis of Negative Sequence Impedance by Asim Chaulagain, Ramakrishna Gokaraju, Nurul Chowdhury, Krish Narendra

“…Unintentional islanding detection is a major challenge during the operation of a microgrid. …”
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CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data by Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno

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Detectability of Liver Steatosis and Fibrosis with Transient Elastography and Controlled Attenuation Parameter in Residents of St. Petersburg by V. P. Kovyazina, K. L. Raikhelson, M. K. Prashnova, E. V. Pazenko, L. K. Palgova, E. A. Kondrashina

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Recommendations for the Detection and Mitigation of Laurel Wilt Disease in Avocado and Related Tree Species in the Home Landscape by Jonathan Henry Crane, Jeff Wasielweski, Daniel Carrillo, Romina Gazis, Bruce Schaffer, Fredy Ballen, Edward Evans

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First detection and phylogenetic analysis of Trypanosoma species in European wolves and bears: discovery of novel haplotypes by Blanka Orłowska, Magdalena Świsłocka-Cutter, Katarzyna Filip-Hutsch, Daniel Młocicki, Adam Olszewski, Marek Asman, Krzysztof Anusz, Joanna Werszko

“…The detection of Trypanosoma sp. was achieved through nested- PCR amplification. …”
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A digital twin framework with MobileNetV2 for damage detection in slab structures by Huong Duong Nguyen, Huan Nguyen, Xiaohong Gao

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The creation of a machine learning model employing data from autonomous-reliant surveillance transmissions is essential for the detection and prediction of commercial aircraft accidents. …”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…Abstract Background Rice blast is one of the most destructive diseases in rice cultivation, significantly threatening global food security. Timely and precise detection of rice panicle blast is crucial for effective disease management and prevention of crop losses. …”
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Novi italijanski lovac tenkova - točkaš V-1 CENTAURO, International defense review, 1989 by M.P.

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Understanding Global Defense Budgeting Dynamics: A Systematic Literature Review on Economic and Geopolitical Factors by Muchamad Bachtiar, Irdam Ahmad, Zainal Abidin Sahabuddin, Trismadi

“…Background: Defense budgeting plays a critical role in shaping a nation's strategic and military capabilities, reflecting its global positioning and priorities. …”
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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

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