Machine learning to predict killer whale (Orcinus orca) behaviors using partially labeled vocalization data by Sophia Sandholm

“…In a call, an orca typically varies the frequencies, varies the length, varies the temporal patterns, varies their volumes, and can use multiple frequencies simultaneously. Behavior data is hard to obtain because orcas live under water and travel quickly. …”
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Improving the integrity and reproducibility of research that uses antibodies: a technical, data sharing, behavioral and policy challenge by M. Biddle, P. Stylianou, M. Rekas, A. Wright, J. Sousa, D. Ruddy, M. I. Stefana, K. Kmiecik, A. Bandrowski, R.A. Kahn, C. Laflamme, E. M. Krockow, H.S. Virk

“…Where characterization data exists, end-users need help to find and use it appropriately. …”
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Travel Behavior during the 2021 British Columbia Floods Using De-identified Network Mobility Data by Enqi Liao, Syeda N. Zehra, Stephen D. Wong

“…Using de-identified network mobility data, we analyze travel patterns centered around the municipality of Hope in British Columbia, Canada. …”
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Forecasting Vegetation Behavior Based on PlanetScope Time Series Data Using RNN-Based Models by Ales Marsetic, Urska Kanjir

“…A time-series dataset consisting of 70 NDVI images calculated from PlanetScope data from April 2017 to January 2023 was used. Initially, all selected methods were evaluated and compared. …”
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Extracting Customer Behavior Pattern in a Telecom Company Using Temporal Fuzzy Clustering and Data Mining by Mohammad Fathian, Ehsan Azhdari

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Simulating Flying Insects Using Dynamics and Data-Driven Noise Modeling to Generate Diverse Collective Behaviors. by Jiaping Ren, Xinjie Wang, Xiaogang Jin, Dinesh Manocha

“…In practice, the combination of Curl noise function with our dynamics model is used to generate realistic swarm simulations and emergent behaviors. …”
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A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data by Barbara Cardone, Ferdinando Di Martino, Cristiano Mauriello, Vittorio Miraglia

“…This work proposes a new unsupervised method to evaluate the behavior of urban green areas in the presence of heatwave scenarios by analyzing three indices extracted from satellite data: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST). …”
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Estimation of Route-Choice Behavior Along LRT Lines Using Inverse Reinforcement Learning by Tomohiro Okubo, Akihiro Kobayashi, Daisuke Kamisaka, Akinori Morimoto

“…Therefore, this study uses inverse reinforcement learning (IRL), a type of machine learning, to build a model that estimates route-choice behavior along the LRT lines based on behavioral trajectories generated from smartphone location data. …”
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Predicting the Swelling Behavior of Acrylic Superabsorbent Polymers Used in Diapers by Shuxin Zhang, Yangyang Peng, Ran Jiang, Wenqiang Liu, Huanlei Yang, Na Yun, Xinsheng Chai

“…Acrylic polymer is a superabsorbent for water and widely used in diapers, in which its swelling behavior can be significantly affected by several factors, i.e., the time, temperature, pH, and salt concentration, and thus the product performance in the applications. …”
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Using qualitative data to inform the adaptation of a stroke preparedness health intervention by Mellanie V. Springer, Tiffany Hodges, Cristi Lanning, Michael Tupper, Lesli E. Skolarus

“…Improved completeness of reporting may facilitate the development of effective behavior change interventions. Our objective was to describe how we used qualitative data to develop our stroke education intervention consisting of a pamphlet and video. …”
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Help-Seeking Behaviors in Research Data Management by Jeremy Kenyon, Ramirose Attebury, Jylisa Doney, Marco Seiferle-Valencia, Jessica Martinez, Bruce Godfrey

“…Eighteen faculty in the natural and physical sciences at the University of Idaho were individually interviewed using an in-depth qualitative interview format and all transcripts were coded and analyzed using an open transcript data visualization tool created at the University of Idaho Library. …”
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Correction: Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data by Paul Farrand, Patrick J Raue, Earlise Ward, Dean Repper, Jonathan Baker, Patricia Areán

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Consumer behavior at sale point and consumption according to strawberry quality: How to use those data to evaluate food waste?entrepot.recherche.data.gouv.fr by Emma Pignères, Marine Masson, Steven Duret, David Blumenthal, Maëlle-Ahou Gouton, Nathalie Gontard, Hélène Angellier-Coussy, Valérie Guillard, Fanny Coffigniez, Sébastien Gaucel

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The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults by Jan Vindiš, Jana Pelclová, Paulína Jašková, Karel Hron

“…Data were collected from 309 older adults (65 + years) in Czechia, using accelerometers worn on the non-dominant wrist to assess intensity-specific behaviors (sedentary behavior - SB, light physical activity - LPA, moderate-to-vigorous physical activity - MVPA, and sleep) and on the right thigh and waist to assess posture-specific behaviors (lying, sitting, standing, moving, and walking). …”
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Nationwide questionnaire data of 229 Williams-Beuren syndrome patients using WhatsApp tool by Lucas Vieira Lacerda Pires, Rogério Lemos Ribeiro, Adriana Modesto de Sousa, Bianca Domit Werner Linnenkamp, Sue Ellen Pontes, Maria Cristina Triguero Veloz Teixeira, Debora Maria Befi-Lopes, Rachel Sayuri Honjo, Debora Romeo Bertola, Chong Ae Kim

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Physiological and behavioral data on active and traditional learning in engineering educationMendeley Data by José Roberto Dale Luche, Claudia Regina de Freitas, Blaha Gregory Correia dos Santos Goussain, Messias Borges Silva

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A Hybrid Internet of Behavior Algorithm for Predicting IoT Data of Plant Growing using LSTM and NB Models by Khansaa Yaseen Ahmad, Omar Muayad Abdullah

“…This research proposes a hybrid Internet of Behaviors (IoB) technique that linking between time-series predicting and the classification models to estimate the plant growing behaviors using real environmental data. …”
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Ship behavior prediction and anomaly detection using LSTM-DCross model based on AIS and remote sensing data by Wanrong Wu, Dongmei Yan, Jun Yan, Xiaowei Wang

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Slow motion in corona times: Modeling cyclists’ spatial choice behavior using real-time probe data by Karima Kourtit, John Osth, Peter Nijkamp, Umut Türk

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Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data by Ge Gao, Zhen Wang, Xinmin Liu, Qing Li, Wei Wang, Junyou Zhang

“…Household traffic surveys are widely used in travel behavior analysis, especially in travel time and distance analysis. …”
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