Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus by M. M. Dewdney, J. D. Burrow, O. Batuman, A. Levy, R. H. Brlansky

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Sensitive windows for within- and trans-generational plasticity of anti-predator defences by Tariel-Adam, Juliette, Luquet, Émilien, Plénet, Sandrine

Subjects: “…timing of exposure; sensitive windows; critical windows; predator-prey interactions; Physa acuta; phenotypic plasticity; transgenerational effects; inducible defences…”
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Detection of gene mutation in a case of Nagashima-type palmoplantar keratoderma by CAO Yuanyuan, YUAN Zhaojun, JIN Chuanyang, WANG Tianzi, LIAO Xiaojie, LIU Hong

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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…Our results demonstrate that the union combination approach enhanced detection capabilities, surpassing single algorithms in identifying deletions and insertions, and delivered comparable recall and F1 scores to the commercial software DRAGEN. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…The proposed method constitutes a significant advancement in the field, providing a robust solution to the intricacies of microbiome data analysis and amplifying the potential of DL methods in disease detection.…”
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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…However, no comprehensive survey has been conducted on integrated IoT- and computing-based systems that deploy deep learning for disease detection. This study evaluated different machine learning and deep learning algorithms and their hybrid and optimized algorithms for IoT-based disease detection, using the most recent papers on IoT-based disease detection systems that include computing approaches, such as cloud, edge, and fog. …”
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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

“…In this paper, a deep learning-based methodology is used to automatically detect ulnar variance from radiographic images. Advanced Convolutional Neural Networks are exploited instead of traditional manual methods. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…In this paper, we introduce a novel imbalanced learning approach named Imbalanced Maximizing-Area Under the Curve (AUC) Proximal Support Vector Machine (ImAUC-PSVM), which harnesses the foundational principles of traditional PSVM for the detection of CVDs. The ImAUC-PSVM method offers several key advantages: 1) It skillfully incorporates AUC maximization directly into the objective function. …”
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Anomaly detection of adversarial cyber attacks on electric vehicle charging stations by Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal

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Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus by Ron H. Brlansky, Megan M. Dewdney, Jamie D. Yates

“…Burrow CH202/CH202: Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus (ufl.edu) …”
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Recent Advances in Fiber-Optic Sensors for the Detection of Inorganic Acidic Gases by Lingnan Kong, Yuanke Gong, Xiaoyu Zhong, Yang Liu, Bo Wan, Quanhua Xie, Yuanyuan He, Xiaoling Peng, Haixing Chang, Dengjie Zhong, Huiling Liu, Nianbing Zhong

“…The sensitivity, selectivity, limit of detection, and response time of the sensors are summarized. …”
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Muscarinic cannabinoid suppression of excitation, a novel form of coincidence detection by Michaela Dvorakova, Ken Mackie, Alex Straiker

“…As such, MCSE represents a novel and targeted form of coincidence detection – important for many modes of learning and memory -- between cannabinoid and muscarinic signaling systems that elicits a medium-duration depression of synaptic signaling. …”
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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

“…The proposed method automates the detection of misaligned or incorrectly fitting gaskets, ensuring timely repair action. …”
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Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus by Ron H. Brlansky, Megan M. Dewdney, Jamie D. Yates

“…Burrow CH202/CH202: Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus (ufl.edu) …”
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Opportune detections of global P-wave propagation from microseisms interferometry by Boué, Pierre, Tomasetto, Lisa

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Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions by Sheetal Singar, Ajay Parihar, Prashanthi Reddy

“…Aim and Objective: The objective of our study was to build a convolutional neural network (CNN) model and detection and classification of benign and malignant radiolucent lesions in orthopantomogram (OPG) by implementing CNN. …”
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High Energy X-Ray Detection by MicroPattern Gaseous Detector by Saeedeh Khezripour, Mohammad Reza Rezai Rayeni

“…Conclusion: The results show that this detector can detect high-energy X-rays with energy above 2 MeV. …”
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Real-time rapid accident detection for optimizing road safety in Bangladesh by Md Shamsul Arefin, Md Ibrahim Shikder Mahin, Farzana Akter Mily

“…An advanced car accident detecting system using a YOLOv11 model is proposed for highly efficient real-time detection to further upgrade the emergency response systems. …”
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Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…Furthermore, we are working towards including others linguistic features of the languages to detect hate speech and make the resource available to facilitate further research in the area of Bilingual hate speech detection for other under-resourced Ethiopian languages.…”
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Navigating uncertainty in environmental DNA detection of a nuisance marine macroalga. by Patrick K Nichols, Kaʻuaʻoa M S Fraiola, Alison R Sherwood, Brian B Hauk, Keolohilani H Lopes, Colt A Davis, James T Fumo, Chelsie W W Counsell, Taylor M Williams, Heather L Spalding, Peter B Marko

“…Early detection of nuisance species is crucial for managing threatened ecosystems and preventing widespread establishment. …”
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