Use of the esophageal catheter to detect asynchronies by Victor Perez, Jamille Pasco

“…In this sense, esophageal catheter is a very useful tool to correct detection and management, if required, of patient-ventilator interactions. …”
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Missed opportunities: the detection and management of at-risk drinking and illicit drug use in acutely hospitalized patients by Danil Gamboa, Danil Gamboa, Danil Gamboa, Saranda Kabashi, Saranda Kabashi, Benedicte Jørgenrud, Anners Lerdal, Anners Lerdal, Gudmund Nordby, Stig Tore Bogstrand, Stig Tore Bogstrand

“…Whether physicians recorded quantitative substance use assessments and interventions was examined in patients with study-verified alcohol use in excess of low-risk guidelines (Alcohol Use Disorder Identification Test-4 scores [AUDIT-4] of ≥5 for women and ≥7 for men) and/or illicit drug use (one or more illicit drug detected by liquid chromatography-mass spectrometry [LC-MS] analysis). …”
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Automatic ovarian follicle detection using object detection models by Maya Haj Hassan, Eric Reiter, Misbah Razzaq

“…In this work, we show the benefits of deep learning models for counting antral follicles and corpus lutea in ovarian histology sections. Here, we use various backbone architectures to build two one-stage object detection models, i.e. …”
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Automated detection of off-label drug use. by Kenneth Jung, Paea LePendu, William S Chen, Srinivasan V Iyer, Ben Readhead, Joel T Dudley, Nigam H Shah

“…We trained a highly accurate predictive model that detects novel off-label uses among 1,602 unique drugs and 1,472 unique indications. …”
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The study on multi-defect detection for leather using object detection techniques by Hasan Onur Ataç, Ahmet Kayabaşı, M. Fatih Aslan

“…AI-based vision techniques were used to detect flaws on the leather on photographs taken with a high-resolution camera. …”
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UAV detection using neural networks by Maria D. Averina, Olga Levanova, Darya V. Grushevskaya, Kirill A. Kukharev, Dmitriy M. Murin, Maksim A. Kalinin

“…The availability of unmanned aerial vehicles (UAVs) has led to a significant increase in the number of offenses involving their use. This makes the development of UAV detection systems relevant. …”
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Fire detection using surveillance systems by Hanan Samir Mahmoud

“…<p class="Abstract">In this research, I present a video-based system to detect Fire in real time taking advantage of already existing surveillance systems for Fire detection either inside or outside the building, Detection of fires with surveillance cameras is characterized by early detection and rapid performance. …”
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KERATOCONUS DETECTION USING DEEP LEARNING by Younis Abbosh, Shatha Ali, Dia Ali, Iman Jasim

“…This paper used real data taken from TOMEY TMS-5 to build a dataset for convolutional neural networks (CNNs) GoogleNet algorithms to classify either a Keratoconus or a normal case. …”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

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Detecting Atrial Fibrillation Using Smartwatches by Agnieszka Kulczycka-Rowicka, Julianna Podolec, Silvia Ciraolo, Joanna Wojda, Adam Sobiński, Zuzanna Kościuszko, Katarzyna Kurza, Matylda Czerwonka, Katarzyna Lesiczka-Fedoryj, Anna Walczak

“…The aim of this review is to analyze the latest information on the use of smartwatches in detecting atrial fibrillation.   …”
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Detection of Arrhythmia using Neural Network by Saumendra Kumar Mohapatra, Hemanta Kumar Palo, Mihir Narayan Mohanty

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Eye Detection using Helmholtz Principle by Ahmed et al.

“…Eye Detection is used in many applications like pattern recognition, biometric, surveillance system and many other systems. …”
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Analysis of Enticement Detection using Information Technology by Baiyang Jia

“…Since its emergence, enticement detection using information technology, as a special means of investigation, has been widely used in judicial practice to combat crime due to its inherent advantages of initiative and efficiency. …”
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Exploring the Need to Use “Plagiarism” Detection Software Rationally by Petar Milovanovic, Tatjana Pekmezovic, Marija Djuric

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Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…Therefore, an efficient software bug detection model is a critically significant challenging operation, and that has been developed in this work by designing the efficient model while using the promises dataset as input for bug identification. …”
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The Use and Abuse of Limits of Detection in Environmental Analytical Chemistry by Richard J. C. Brown

“…The limit of detection (LoD) serves as an important method performance measure that is useful for the comparison of measurement techniques and the assessment of likely signal to noise performance, especially in environmental analytical chemistry. …”
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Pioneering the use of micro-biomarkers in oral cancer detection by Namrutha D Shekar, L. Kayal, N. Aravindha Babu, Mukesh Kumar Dharmalingam Jothinathan, Iadalin Ryntathiang

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Investigate the Use of Deep Learning in IoT Attack Detection by Mohamed Saddek Ghozlane, Adlen Kerboua, Smaine Mazouzi, Lakhdar Laimeche

“…This study investigates the implementation and performance of four deep learning models: One-Dimensional Convolutional Neural Network (1DCNN), Long Short-Term Memory (LSTM), a hybrid 1DCNN-LSTM, and Two- Dimensional Convolutional Neural Network (2DCNN) for detecting and classifying IoT device attacks. Using the BoTNeTIoT-L01- v2 dataset, which includes normal and attack traffic provided by various IoT devices, we preprocess the data, extract features, and train the models, including weighted versions to optimize feature importance. …”
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GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD by Zbigniew CZAPLA

“…This paper presents a method of vehicle detection using the conversion of images from a source image sequence into binary target images. …”
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Detectable Inspection: Propeller Nick Detection Model Development Using YOLOv8 by Seongjun Ha, Tracy L. Yother

“…Originality/Value: This research contributes to improving inspectors’ propeller nick inspection maturity using this nick detection model. Therefore, this study can potentially reduce general aviation accidents caused by propeller failure.…”
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