A programmable magnetic digital microfluidic platform integrated with electrochemical detection system by Yong Zhao, Shuyue Jiang, Gaozhe Cai, Lihua Wang, Jianlong Zhao, Shilun Feng

“…N52 magnets generate localized magnetic fields to drive droplet movement, while the Arduino module enables programmable control for precise manipulation. …”
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Metastases to Regional Lymph Nodes in Breast Cancer: Current Views of Detection Methods by I. E. Kondrashkin, V. E. Fedorov, V. Y. Barsukov, Y. I. Orlova, L. F. Zhandarova

“…Consequently, the effective detection of metastases within the regional lymphatic system during breast tumor progression is a critical diagnostic component. …”
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Enhancing Tip Detection by Pre-Training with Synthetic Data for Ultrasound-Guided Intervention by Ruixin Wang, Jinghang Wang, Wei Zhao, Xiaohui Liu, Guoping Tan, Jun Liu, Zhiyuan Wang

“…<b>Objectives</b>: Automatic tip localization is critical in ultrasound (US)-guided interventions. …”
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Individual behavior tracking of heifers by using object detection algorithm YOLOv4 by Sarah Jahn, Gabriel Schmidt, Lisa Bachmann, Robert Kammerer, Helen Louton, Anne K. Schütz, Timo Homeier-Bachmann

“…First, a body posture model was trained to localize the heifers and classify their body posture. …”
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Efficient Hotspot Detection in Solar Panels via Computer Vision and Machine Learning by Nayomi Fernando, Lasantha Seneviratne, Nisal Weerasinghe, Namal Rathnayake, Yukinobu Hoshino

“…Even with inspections, factors like shadows, dust, and shading cause localized heat, mimicking hotspot behavior. This study emphasizes interpretability and efficiency, identifying key predictive features through feature-level and What-if Analysis. …”
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On the black-box explainability of object detection models for safe and trustworthy industrial applications by Alain Andres, Aitor Martinez-Seras, Ibai Laña, Javier Del Ser

“…Additionally, we introduce D-Deletion, a novel metric combining faithfulness and localization, adapted specifically to meet the unique demands of object detectors. …”
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Comprehensive Analysis of Advancement in Optical Biosensing Techniques for Early Detection of Cancerous Cells by Ayushman Ramola, Amit Kumar Shakya, Arik Bergman

“…Localized surface plasmon resonance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>L</mi><mi>S</mi><mi>P</mi><mi>R</mi><mo>)</mo></mrow></semantics></math></inline-formula> sensors offer high sensitivity and versatility in detecting cancer biomarkers. …”
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Multistage pig identification using a sequential ear tag detection pipeline by Martin Wutke, Damiano Debiasi, Shobhana Tomar, Jeanette Probst, Nicole Kemper, Kai Gevers, Marc-Alexander Lieboldt, Imke Traulsen

“…In this study, we introduce a robust, lighting-invariant method for individual pig identification that leverages commercially available ear tags within a sequential detection pipeline. Our approach employs four object detection models in succession to detect pigs, localize ear tags, perform rotation correction via pin detection, and recognize digits, ultimately generating a reliable ID proposal. …”
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Weed detection based on deep learning from UAV imagery: A review by Lucía Sandoval-Pillajo, Iván García-Santillán, Marco Pusdá-Chulde, Adriana Giret

“…These systems aim to improve the localized application of chemicals in weed control by using advanced image analysis techniques, computer vision, deep learning (DL), and geo-positioning (GPS) to detect and recognize weeds. …”
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TPI-Net: Time-Phase Interaction Network Based on Learnable Wavelet Attention for Remote Sensing Change Detection by Yekai Cui, Jintao Song, Jinjiang Li

“…Remote sensing change detection in urban buildings faces challenges in recognizing building details, extracting texture structures, and suppressing interference from nonchange areas. …”
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FedAware: a distributed IoT intrusion detection method based on fractal shrinking autoencoder by Keyuan Qiu, Meifang Yan, Tao Luo, Feng Chen

“…Abstract The goal of intrusion detection is to prevent potential security threats by analysing activities in a network or system and identifying abnormal or malicious behaviours in a timely manner. …”
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A Novel Multi-Step Forecasting-Based Approach for Enhanced Burst Detection in Water Distribution Systems by Xi Wan, Raziyeh Farmani, Edward Keedwell, Xiao Zhou

“…Burst detection in water asset management is a crucial issue in ensuring the efficient and sustainable operation of water distribution systems. …”
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ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of BangladeshMendeley Data by Mohammad Manzurul Islam, Anabil Sarker, Ashiquzzaman Choudhury, Noortaz Ahmed, Ahmed Abdal Shafi, Nishat Tasnim Niloy, Md Shorif Hossain, Md Sawkat Ali, Abdullahi Chowdhury, Md. Hasanul Ferdaus

“…The images were collected from local shrimp farms under expert supervision using high-quality smartphone cameras. …”
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A damage zone detection method in concrete hydraulic structures based on multi-frequency ultrasonic characteristics by Jinchao Wang, Ming Chen, Nian Zhu, Houcheng Liu

“…At the same time, by introducing the concept of the damage area recognition feature quantity, a structural damage area recognition method was formed to effectively distinguish between non-damaged and damaged areas in concrete structures, altogether encircling a complete set of the hydraulic concrete structure damage area detection technology system. Finally, the feasibility and superiority of the proposed method were verified through local and global testing experiments. …”
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Locating Damage Using Integrated Global-Local Approach with Wireless Sensing System and Single-Chip Impedance Measurement Device by Tzu-Hsuan Lin, Yung-Chi Lu, Shih-Lin Hung

“…Local damage is then identified using an electromechanical impedance- (EMI-) based damage detection method. …”
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DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

“…Insect pest detection plays a crucial role in agricultural production for accurate and early pest control, thus significantly reducing crop damage and increasing yields. …”
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COMPARISON BETWEEN THE PETRIFILM™ AND THE CONVENTIONAL METHODS FOR ENUMERATING AEROBIC BACTERIA AND E.COLI IN LOCALLY PRODUCED SOFT CHEESE IN BAGHDAD by Zina Saab khudhir, Drgham.H.Yousif, Najim Hadi Najim

“…The detection limit for aerobic bacteria by the petrifilm TM technique versus the conventional direct plating were 16x109 cfu/g and 5x108 cfu/g respectively while the detection limit of E.coli by the petrifilm TM technique versus the conventional coliform plate count (CPC) were 22X106 cfu/g and 12x105 cfu/g respectively. …”
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Deep Learning-Based Multi-Floor Indoor Localization Using Smartphone IMU Sensors With 3D Location Initialization by Jin-Woo Kim, Yoan Shin

“…After detecting the initial 3D position, the method combines barometer-based floor transition detection and PDR-based position estimation to enable multi-floor indoor localization, and addresses the drift problem using correction nodes based on magnetic field data. …”
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Research on Rail Flaw Echo Accurate Location Method Based on Interface Wave Tracking Technology by XIA Lang, CAO Jingwei, WANG Pin, LI Hongliang

“…During high speed rail flaw detection, unevenness in the vertical direction of the rail, structural differences in the detection wheel lifting unit and differences in the amount of fluid filled in the detection wheel will cause vertical jump of the detection wheel, leading to changes in ultrasonic arriving time at the rail surface of different probes and influencing flaw localization. …”
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Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records by Elizabeth Ford, James Stone, James Stone, James Stone, Dominic Oliver, Dominic Oliver, Dominic Oliver, Benjamin Fell, Gloria Roque, Sam Robertson, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Kathryn Greenwood, Kathryn Greenwood

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