Introduced Reptile Early Detection and Documentation Training: Instructor Guide by Steve A. Johnson, Monica McGarrity

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Retinopathy Diabetic Recognition and Detection Using Novel Intelligent Algorithms by Liaquat Ali Rahoo

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Experts on the defensive: The Tsiganologue versus Romani activism (1959-1973) by Begoña Barrera López

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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

“…Additionally, deep learning with the necessary elements is advised to defend the network from these threats. In order to achieve proper detection of hacks in the future, relevant datasets must be used. …”
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Prevention, Early Detection, and Eradication of Benghal Dayflower in Field Nurseries by Robert H. Stamps

“…This revised 10-page fact sheet provides nursery owners how to prevent, detect, and eradicate this invasive plant. Written by Robert Stamps and published by the UF Department of Environmental Horticulture, May 2011. …”
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ELECTRICAL ARC FLASH SAFETY DETECTION IN POWER DISTRIBUTION NETWORK by AMAKIRI OKILO FRIDAY, AGHAUKWU CELESTINE NONSO, SIMON ITA OKISAK

Subjects: “…safety detection, electrical arc flash, arc flash protection boundary…”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

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Prevention, Early Detection, and Eradication of Benghal Dayflower in Field Nurseries by Robert H. Stamps

“…This revised 10-page fact sheet provides nursery owners how to prevent, detect, and eradicate this invasive plant. Written by Robert Stamps and published by the UF Department of Environmental Horticulture, May 2011. …”
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Advancements in Electrochemical Sensing Technology for Heavy Metal Ions Detection by Yu Tian, Jinli Liu, Jiali Qiao, Fuguo Ge, Yukun Yang, Qi Zhang

Subjects: “…Electrochemical sensing detection…”
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An Improved Yolov10n for Detection of Bronchoalveolar Lavage Cells by Peihe Jiang, Shaoqi Li, Yanfen Lu, Xiaogang Song

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Benford's law: Planning and analysis of the planned values in the defense budget by Đorić Igor, Ranisavljević Mihajlo, Kocka Đole

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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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PCR-based detection of Botryosphaeria canker pathogens in fig trees by Mahdiyeh Ghaedi, Zeinab Bolboli, Hamed Negahban, Reza Mostowfizadeh-Ghalamfarsa

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Effectiveness of joint species distribution models in the presence of imperfect detection by Stephanie Elizabeth Hogg, Yan Wang, Lewi Stone

Subjects: “…detection probability…”
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Detection of Antichlamydial Antibody in Patients With Ectopic Pregnancy and Normal Pregnancy by Srwa Jamal Murad

“…Blood sample (2 ml venous blood) collected to test for antibodies level for Chlamydia Trachomatis by Alegria test system for both studied groups and patients with ectopic pregnancy detected by beta human chorionic gonadotropin and ultrasound scanning. …”
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Optimal Covid-19 Control on Effectiveness of Detection Campaign and Treatment by Mouhamadou A. M. T. Baldé, Sidy Ly, Léna Tendeng

“…Numerical simulations based on COVID-19 data in Senegal show possibilities to reduce the disease evolution, sometimes by emphasizing the detection campaign and/or the treatment proposed to patients.…”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…Identifying the most effective algorithm for anomaly detection is essential for enhancing nidustrial productivity. …”
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Detection of soft tissue emphysema in emergency head and neck imaging by Michael Che Hao Seng, Elena Tangtra, Chi Long Ho

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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

Subjects: “…Object detection…”
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A Comprehensive Investigation of Fraud Detection Behavior in Federated Learning by Sun Rui

“…This research delves into the application of Federated Learning (FL) models for detecting fraud across different financial bodies. …”
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