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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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

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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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Design and Construction of Gas Leakage and Detection System in Homes/ Industries. by Waiswa, Hashimu

“…The objective of this project therefore is to design a microcontroller bas@@ LPG leakage detection and response system. The system detects LP(; lc,1k,1ge using MQ-(1 gas sensor and alerts the user of the leakage through GSM-based on c,111 and SMS with buzzer. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

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Design and Construct a Forest Fire Detection and Control System. by Ampumuza, Mary Viola

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Lightweight marine biodetection model based on improved YOLOv10 by Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng

Subjects: “…Marine Object Detection…”
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Enhancing detection of STEC in the meat industry: insights into virulence of priority STEC by Mai-Lan Tran, Sabine Delannoy, Patrick Fach

“…Detection of Shiga toxin-producing Escherichia coli (STEC) presenting high risk of human infections is challenging. …”
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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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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

“…Numerous algorithms for short-read SV detection exist, but none are universally optimal, each having limitations for specific SV sizes and types. …”
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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

“…Their analysis focused on an IoT deep learning architecture suitable for disease detection. It also recognizes the different factors that require the attention of researchers to develop better IoT disease detection systems. …”
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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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