Detecting Schistosoma infections in endemic countries: a diagnostic accuracy study in rural Madagascar by Eva Lorenz, Ravo Razafindrakoto, Pia Rausche, Zaraniaina Tahiry Rasolojaona, Nantenaina Matthieu Razafindralava, Alexandre Zerbo, Yannick Höppner, Heidrun von Thien, Njary Rakotozandrindrainy, Cheick Oumar Doumbia, Philipp Klein, Jean-Marc Kutz, Paul L. A. M. Corstjens, Claudia de Dood, Pytsje T. Hoekstra, Govert J. van Dam, Anna Jaeger, Norbert Georg Schwarz, Egbert Tannich, Mala Rakoto Andrianarivelo, Raphael Rakotozandrindrainy, Rivo Andry Rakotoarivelo, Jürgen May, Tahinamandranto Rasamoelina, Daniela Fusco

“…This study evaluated the diagnostic accuracy of three tests for schistosome infection in Malagasy adults from areas of medium to high endemicity. Methods This cross-sectional study enrolled adults from three primary health care centres in Madagascar. …”
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An efficient bearing fault detection strategy based on a hybrid machine learning technique by Khalid Alqunun, Mohammed Bachir Bechiri, Mohamed Naoui, Abderrahmane Khechekhouche, Ismail Marouani, Tawfik Guesmi, Badr M. Alshammari, Amer AlGhadhban, Abderrahim Allal

“…Abstract This study introduces an innovative method for addressing the bearing fault detection problem in rotating machinery. …”
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Streamlined Bearing Fault Detection Using Artificial Intelligence in Permanent Magnet Synchronous Motors by Javier de las Morenas, Lidia M. Belmonte, Rafael Morales

“…However, bearing faults remain a critical issue, necessitating robust fault detection strategies. This paper proposes an edge–fog–cloud architecture for bearing fault detection with a specific focus on implementing an efficient and non-intrusive edge-based solution. …”
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Application of Seed Miss Prevention System for a Spoon-Wheel Type Precision Seed Metering Device: Effectiveness and Limitations by Aldiyar Bakirov, Nikolay Kostyuchenkov, Oksana Kostyuchenkova, Alexsandr Grishin, Aruzhan Omarbekova, Nikolay Zagainov

“…Despite these improvements, complete elimination of seed misses was not achieved, highlighting the need for further optimization in seed miss detection. Future research should explore adaptations for higher-speed metering devices and field-scale validations. …”
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Early stroke behavior detection based on improved video masked autoencoders for potential patients by Meng Wang, Guanci Yang, Kexin Luo, Yang Li, Ling He

“…To enhance the early perceive and detection of potential stroke patients, the early stroke behavior detection based on improved Video Masked Autoencoders (VideoMAE) for potential patients (EPBR-PS) is proposed. …”
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Edge-Enhancing Gradient Echo MRI at 7T for detection of focal cortical dysplasia in epilepsy by Erik H. Middlebrooks, Elena Greco, Xiangzhi Zhou, Vivek Gupta, Brin E. Freund, Amit K. Agarwal, Erin M. Westerhold, Anteneh M. Feyissa, William O. Tatum, IV, Sanjeet Grewal, Vishal Patel, Shengzhen Tao

“…3D-Edge Enhancing Gradient Echo MRI (EDGE) is a promising method for identifying focal cortical dysplasia (FCD) because of its superior contrast-to-noise ratio. …”
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A Segment Anything Model Approach for Rice Seedlings Detection Based on UAV Images by H. Rezvan, M. J. Valadan Zoej, F. Youssefi, F. Youssefi

“…This study explores the potential of Segment Anything Model (SAM) for detecting rice seedlings, focusing on determining the optimal approach and prompt for this task. …”
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Strategy for Accurate Detection of Six Tropane Alkaloids in Honey Using Lateral Flow Immunosensors by Boyan Sun, Chuanlei Wang, Zile Wang, Jiayi Liang, Ke Han, Shuai Zhang, Chunchao Yin, Xiaomei Wang, Chujun Liu, Zhiyue Feng, Sihan Wang, Haiyang Jiang

“…Under optimal conditions, the calculated detection limits were 0.22, 0.29, 0.51, 6.34, 0.30, and 0.94 ng/mL, respectively. …”
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Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

“…The suggested hybrid method may be expanded to recognize gender, estimate head posture, estimate gaze, find facial feature points in the presence of significant pose fluctuations, and detect facial expressions.…”
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Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level by Shahriar Ahmed, Md Nasim Reza, Md Rejaul Karim, Hongbin Jin, Heetae Kim, Sun-Ok Chung

“…For the second solenoid valve in channel 2, with 333 actual instances of normal operation and 60 actual instances of abnormal operation, the model accurately detected 316 normal and 58 abnormal instances. The proposed method achieved a mean average precision of 99.9% for detecting abnormal control operation of the pump and solenoid valve of channel 1 and a precision of 99.7% for the solenoid valve of channel 2. …”
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Driven early detection of chronic kidney cancer disease based on machine learning technique. by Wafa Almukadi, Sayed Abdel-Khalek, Adel A Bahaddad, Ahmed Mohammed Alghamdi

“…This study presents the Kidney Cancer Detection and Classification employing a Snake Optimizer with Deep Learning on Pathological Images (KCDC-SODLPI) technique. …”
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Electrochemical nanostructured CuBTC/FeBTC MOF composite sensor for enrofloxacin detection by Thi Kim Ngan Nguyen, Tien Dat Doan, Huy Hieu Luu, Hoang Anh Nguyen, Thi Thu Ha Vu, Quang Hai Tran, Ha Tran Nguyen, Thanh Binh Dang, Thi Hai Yen Pham, Mai Ha Hoang

“…The synergistic effect of the electrocatalytic properties of CuBTC and the high conductivity of FeBTC significantly enhanced the electrochemical response of ENR, increasing the signal by more than ten times compared to the unmodified electrode. Under optimal analytical conditions, the sensor exhibited three dynamic ranges for ENR detection, that is, 0.005 to 0.100 µM, 0.1 to 1.0 µM, and 1 to 13 µM, with coefficients of determination of 0.9990, 0.9954, and 0.9992, respectively, depending on the accumulation duration. …”
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E-DoH: elegantly detecting the depths of open DoH service on the internet by Cong Dong, Jiahai Yang, Yun Li, Haoran Jiao, Chenglong Li, Xia Yin, Yuling Liu

“…Based on the above optimization methods, we conducted an exploration of the IPv4 space and performed an in-depth analysis of DoH based on the collected information. …”
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TCAINet an RGB T salient object detection model with cross modal fusion and adaptive decoding by Hong Peng, Yunfei Hu, Baocai Yu, Zhen Zhang

“…Notably, the proposed model achieves improvements of 0.653%, 1.384%, 1.019%, and 5.83% in Sm, Em, Fm, and MAE metrics, respectively, confirming its efficacy in enhancing detection accuracy and optimizing feature fusion. The code and results can be found at the following link:huyunfei0219/TCAINet.…”
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Comparison of genotyping assays for detection of targeted CRISPR/Cas mutagenesis in highly polyploid sugarcane by Eleanor J. Brant, Eleanor J. Brant, David May, David May, Ayman Eid, Ayman Eid, Fredy Altpeter, Fredy Altpeter

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The accuracy of image-based individual tree crown detection and delineation across vegetation types by N. Pucino, T. McVicar, S. Levick, A. van Dijk

“…This study highlights the importance of selecting the appropriate ITS and CHM methods for different vegetation types and emphasizes the need for algorithm optimization in complex environments, such as tropical and eucalypt forests. …”
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Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

“…This study provides a comprehensive review of recent progress in occupancy detection and monitoring technologies, highlighting how advanced methods can facilitate more accurate, occupant-driven energy management. …”
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SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images by Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

“…This demonstrates the application potential of one-stage semisupervised methods in small object detection in remote sensing images.…”
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Comparison of nanoimaging and nanoflow based detection of extracellular vesicles at a single particle resolution by Shihan Xu, Zhengrong Zhang, Bridgette C. Melvin, Nibedita Basu Ray, Seiko Ikezu, Tsuneya Ikezu

“…With Flow NanoAnalyzer, EV samples were prepared with different dilution or fractionation methods, which increased the detection rate of CD9+/CD81+ EV population. …”
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Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection, and Mitigation by Sajjad Maleki, Shijie Pan, Subhash Lakshminarayana, Charalambos Konstantinou

“…Additionally, mitigation techniques are examined, focusing on both preventive measures, designed to thwart attack execution, and reactive methods, which aim to optimize responses to ongoing attacks. …”
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