BengalDeltaFish: A local dataset for fish detection in Bangladeshi marketsMendeley Data by Sabrina Alim Dipa, Arjun Pal, Md. Shoaib Shahria, Md. Delwar Shahadat Deepu, Raiyan Rahman

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Automatic eddy detection in Antarctic marginal ice zone using Sentinel-1 SAR data by Nikita Sandalyuk, Eduard Khachatrian, Ekaterina Marchuk

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Leak detection characteristics of point and line sensors for foundational data in smart safety management systems by Hyeon-Ki Lee, Tae-Woong Park, Hyeong-Soo Kim, Hyeong-Joo Kim

“…The leak detection characteristics of fifth-generation point sensors and film-type leak sensors were determined to provide foundational data for sensor system research. …”
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Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…While machine learning models trained on simulated data have shown promise in detecting chatter, their real-world applicability remains uncertain due to discrepancies between simulated and actual machining environments. …”
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Can Pharmacovigilance Data Represent a Potential Tool for Early Detection of the Antibiotic Resistance Phenomenon? by Cecilia Cagnotta, Alessia Zinzi, Francesca Gargano, Valerio Liguori, Maria Rosaria Campitiello, Alessandro Perrella, Annalisa Capuano, Concetta Rafaniello, Ugo Trama

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Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data by Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap

“…Automatic sign language detection based on deep learning model is the theme of this study. …”
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Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data by Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashadul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim

“…There is very little research on cat activity and cat disease analysis based on real-time data. Although previous studies have made progress, several key questions still need addressing: What types of data are best suited for accurately detecting activity patterns? …”
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Exploring Score-Level and Decision-Level Fusion of Inertial and Video Data for Intake Gesture Detection by Hamid Heydarian, Marc T. P. Adam, Tracy L. Burrows, Megan E. Rollo

“…Recent research has employed deep learning to detect intake gestures from inertial sensor and video camera data. …”
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Feature-Based Normality Models for Anomaly Detection by Hui Yie Teh, Kevin I-Kai Wang, Andreas W. Kempa-Liehr

“…To improve sensor data quality while addressing the challenges of anomaly detection in Internet of Things applications, we present an anomaly detection framework that learns a normality model of sensor data. …”
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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

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Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables by Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio

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Performance of the Oncuria-Detect bladder cancer test for evaluating patients presenting with haematuria: results from a real-world clinical setting by Ian Pagano, Zhen Zhang, Michael Luu, Sergei Tikhonenkov, Florence Le Calvez-Kelm, Steve Goodison, Toru Sakatani, Kaoru Murakami, Takashi Kobayashi, Patrice Avogbe, Howard Kim, Riko Lee, Arnaud Manel, Emmanuel Vian, Charles J. Rosser, Hideki Furuya

“…Results In the training set, the Oncuria-Detect assay correctly identified bladder cancer in 105 of 121 cases. …”
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Untapped potential of wastewater for animal and potentially zoonotic virus surveillance: Pilot study to detect non-human animal viruses in urban settings by Mustafa Karatas, Mandy Bloemen, Jill Swinnen, Inge Roukaerts, Steven Van Gucht, Marc Van Ranst, Elke Wollants, Jelle Matthijnssens

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Methods for drug safety signal detection using routinely collected observational electronic health care data: a systematic review by A. Sh. Motrinchuk, O. A. Loginovskaya, V. P. Kolbatov

“…This work aims to systematically review the methods for drug safety signal detection using routinely collected healthcare data and their performance, both in general and for specific types of drugs and outcomes.Metodology. …”
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Detecting Freezing of Gait in Parkinson Disease Using Multiple Wearable Sensors Sets During Various Walking Tasks Relative to Medication Conditions (DetectFoG): Protocol for a Pros... by Sébastien Cordillet, Sophie Drapier, Frédérique Leh, Audeline Dumont, Florian Bidet, Isabelle Bonan, Karim Jamal

“…ObjectiveThe objective of this study is to investigate the use of multiple wearable sensors sets to detect FoG in patients with PD during various walking tasks under different medication conditions. …”
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Rice Appearance Quality Detection Technology Based on Muti-demensional Features by XING Jian, LUO Jia-shun

“…In order to improve the image quality, a new data fusion algorithm is proposed, which realizes the segmentation of rice sample and background, eliminates the noise to the maximum extent, and improves the accuracy of subsequent detection function. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

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Spectrum of congenital anomalies detected through anatomy ultrasound at a referral hospital in Ghana by Alim Swarray-Deen, Morgan Yapundich, Sarah Boudova, Kwaku Doffour-Dapaah, Jeff Osei-Agyapong, Perez Sepenu, Alex K. Boateng, Teresa A. Mensah, Patrick Anum, Nana Essuman Oduro, Theophilus Adu-Bredu, Promise E. Sefogah, Jerry Coleman, Samuel A. Oppong

“…Beyond the clinical benefit, these data lay the groundwork for studies to identify the underlying causes of high rates of anomalies to inform preventive policy and clinical interventions in low-resource settings.…”
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Optimizing an automated sleep detection algorithm using wrist-worn accelerometer data for individuals with chronic pain. by Louis Faust, Emma Fortune, Omid Jahanian, Sey Oloyede, Clifford Trouard, Suzanne Dixon, Erica Torres, Chris Sletten, Paul Scholten

“…To derive sleep quality measures from accelerometry data, the Tudor-Locke sleep detection algorithm was employed. …”
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Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters by Sheng-Chieh Lin, Yuanyuan Su, Fabio Gastaldello, Nathan Jacobs

“…Anomaly detection is performed on the validation and test data sets consisting of 2T spectra as the normal set and 1T+IC spectra as anomalies. …”
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