RGB-D Image Saliency Detection Based on Multi-branch Backbone Supervised Network by WANG Wei-bing, ZHANG Xiao-zhuo, DENG Qiang

“…Experiments on four representative data sets show that compared with the current advanced RGB-D image saliency detection model. …”
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One-Class Anomaly Detection for Industrial Applications: A Comparative Survey and Experimental Study by Davide Paolini, Pierpaolo Dini, Ettore Soldaini, Sergio Saponara

“…This article aims to evaluate the runtime effectiveness of various one-class classification (OCC) techniques for anomaly detection in an industrial scenario reproduced in a laboratory setting. …”
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A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN by Qing Sun, Jing Zhao, Chunling Xue, Xueting Yang

“…Finally, the performance of the proposed method is verified by the IPIX measured data sets. The results show that the proposed method has a higher detection probability and better computational performance than the traditional CNN detection methods.…”
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Can YOLO Detect Retinal Pathologies? A Step Towards Automated OCT Analysis by Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Anca Marginean

“…Through the advancement of technology, the volume and complexity of OCT data have rendered manual analysis infeasible, creating the need for automated means of detection. …”
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A Transformer-based Approach for aAnomaly Detection in Wire eElectrical Discharge by Waleed Hammed, Ameer H. Al-Rubaye, Bashar S. Bashar, Merzah Kareem Imran, Mustafa Ghanim Rzooki, Ali Mohammed Hashesh

“…Although theoretical models of manufacturing processes are useful for understanding physical events, it can be challenging to apply them in real-world industrial settings. When huge data are accessible, artificial intelligence approaches in the context of Industry 4.0 can offer effective answers to real production challenges. …”
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Exploring Multi-Agent Debate for Zero-Shot Stance Detection: A Novel Approach by Junxia Ma, Changjiang Wang, Lu Rong, Bo Wang, Yaoli Xu

“…Zero-shot stance detection aims to identify the stance expressed in social media text aimed at specific targets without relying on annotated data. …”
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Methods of detection of adverse events in critical care: a protocol for a systematic review by Oleksa Rewa, Sandy Widder, Jocelyn Slemko, Janice Y Kung, Jay Gorman

“…Critically ill patients are at high risk of adverse events; however, the optimal approach to detection in this setting is unknown. Numerous approaches have been used, including voluntary reporting, chart reviews and trigger tools. …”
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SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

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An Empirical Comparison of Machine Learning and Deep Learning Models for Automated Fake News Detection by Yexin Tian, Shuo Xu, Yuchen Cao, Zhongyan Wang, Zijing Wei

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Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap). by Reyhaneh Abbasi, Peter Balazs, Maria Adelaide Marconi, Doris Nicolakis, Sarah M Zala, Dustin J Penn

“…A-MUD and USVSEG outperformed the other methods in terms of true positive rates using default and adjusted settings, respectively, and A-MUD outperformed USVSEG when false detection rates were also considered. …”
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Ultrasound Employed to Detect Breast Lumps among Symptomatic Patients in Tertiary Care Hospital by Ameet Jesrani, Pari Gul, Nida Amin Khan, Seema Nayab, Fahmida Naheed

“…Results: Out of 48 clinically palpable lumps US detected all of 48 lumps and additionally 12 clinically non palpable masses were detected on US examination. …”
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Is nalidixic acid screening still valid for the detection of reduced susceptibility of fluoroquinolone with SalmonellaTyphi? by Seema Irfan, Kausar Jabeen, Umair Anwar Jilani, Bushra Ahmed, Jaishri Mehraj, Tanwir Ahsan, Afia Zafar

“…Typhi strain is not cost effective in our setting; the proportion of strains with high fluoroquinolone MICs was found to be very low. …”
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Detection of respiratory syncytial virus based on RT-RPA and CRISPR-Cas12a by Ariya Khamwut, Juthamas Nimnual, Nantinee Chomta, Pattaraporn Nimsamer, Pattaraporn Nimsamer, Oraphan Mayuramart, Pornchai Kaewsapsak, Pornchai Kaewsapsak, Siripat Pasittungkul, Yong Poovorawan, Sunchai Payungporn, Sunchai Payungporn

“…In this study, we employed the RT-RPA with CRISPR/Cas12a detection methodology to detect and differentiate RSV-A and RSV-B, particularly in resource-limited settings. …”
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Real-Time Farm Surveillance Using IoT and YOLOv8 for Animal Intrusion Detection by Tahesin Samira Delwar, Sayak Mukhopadhyay, Akshay Kumar, Mangal Singh, Yang-won Lee, Jee-Youl Ryu, A. S. M. Sanwar Hosen

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Clinical Applicability and Cross-Dataset Validation of Machine Learning Models for Binary Glaucoma Detection by David Remyes, Daniel Nasef, Sarah Remyes, Joseph Tawfellos, Michael Sher, Demarcus Nasef, Milan Toma

“…The study provides insights into the development of scalable, effective diagnostic solutions that align with regulatory guidelines, addressing the critical need for accessible glaucoma detection tools in diverse healthcare settings.…”
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Application and Analysis of the MFF-YOLOv7 Model in Underwater Sonar Image Target Detection by Kun Zheng, Haoshan Liang, Hongwei Zhao, Zhe Chen, Guohao Xie, Liguo Li, Jinghua Lu, Zhangda Long

“…Nevertheless, conventional image recognition algorithms encounter several obstacles, including intricate underwater settings, poor-quality sonar image data, and limited sample quantities, which hinder accurate identification. …”
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Optimized deep residual networks for early detection of myocardial infarction from ECG signals by Pon Bharathi A, Madavan R, Sakthivel E

“…This indicates the devised model has high detection accuracy, which could be embedded in real-time clinical settings like hospital ECG machines, wearable ECG monitors, and mobile health applications. …”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…As a result of the classification, the accuracy rates for the training and test data sets were obtained as 0.9200% and 0.8975%, respectively. …”
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Deep Learning Evaluation of Glaucoma Detection Using Fundus Photographs in Highly Myopic Populations by Yen-Ying Chiang, Ching-Long Chen, Yi-Hao Chen

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Missed opportunities for detection of hypertension in public health facilities of 18 districts in India, 2022 by Mogan Kaviprawin, Archana Ramalingam, Anu Varghese, Arun Vashishtha, Dogendra Singh Parihar, Inderjit Singla, Jhilam Mitra, Karanpreet Kaur Johal, Madhuri Birbal Nimsatkar, Mrunal Madhukar Mahadik, Muneer Mohd, Pranay Shukla, Rahul Gupta, Rajendran N, Robin C Oommen, Rupali Bharadwaj, Sandeep Singh Gill, Satish KN, Shrikant Kumar Chandrakar, Vazinder Kaur Dhunna, Sachin Tadas, Ganeshkumar Parasuraman, Sharan Murali, Ramya Nagarajan, Manikandanesan Sakthivel, Kalyani Sailesh, Srinath Ramamurthy, PavanKumar Gollapalli, Mohamed Jainul Azarudeen, Mohankumar Raju, S Yedhu, Aarthy Ramasamy, Abhishek Bicholkar, Prabhdeep Kaur

“…In the public health facilities across 18 districts in nine states of India, we estimated the missed opportunity for hypertension detection in routine program settings. Methods In each of the chosen districts, we conducted a cross-sectional study in one district hospital (DH), one community health centre (CHC), and three primary health centres (PHCs), selected randomly. …”
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