A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…The emergence of artificial intelligence (AI) into CS projects, has transformed data collection, analysis, and validation steps. However, significant gaps remain in understanding the methodologies, applications, and challenges of AI-CS integration. …”
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Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management by Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara

“…Interest in integrating machine learning and deep learning algorithms with DIP has increased, with the frequently used algorithms—Random Forest, Support Vector Machine, Extreme Gradient Boost, and Convolutional Neural Networks—achieving higher prediction accuracy levels. …”
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Efficient Unmanned Aerial Vehicle Design: Automated Computational Fluid Dynamics Preprocessing from Geometry to Simulation by Chris Pliakos, Giorgos Efrem, Thomas Dimopoulos, Pericles Panagiotou

“…By combining various well-established open-source suites and commercial software via Python scripting, the preprocessing steps up to the solution require only a few minutes on a typical laptop workspace. …”
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Optimized TD3 algorithm for robust autonomous navigation in crowded and dynamic human-interaction environments by Husam A. Neamah, Oscar Agustin Mayorga Mayorga

“…Finally, the results obtained by training the algorithm correspond nearly 0 for the actor and critic training, with a training of 12,000 episodes, and with an evaluation results 92 % of effectivity of our algorithm, based on 772 steps performed by the rob ten in a time of 11 s.…”
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Using FatSecret application to foster student’s critical nutrition habits by Afifi Mutiarani, Juju Juwita, Ari Widodo

“…However, there were challenges such as students' difficulty in developing realistic action steps and limited understanding of nutrition. This activity confirms that technology integration in biology learning can foster students' critical habits in choosing food, with recommendations for improvement in action planning assistance and strengthening understanding of nutrition concepts.…”
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A GIS‐based tool for dynamic assessment of community susceptibility to flash flooding by R. S. Wilkho, N. G. Gharaibeh, S. Chang

“…DFFS operates through four key steps: extracting FF data from the NOAA Storm Events Database for census tracts (CTs) in any region of interest, conducting spatial hotspot analysis to identify areas of high and low FF occurrences, applying causal discovery to identify region‐specific causal factors (from potential factors such as geology, terrain, and meteorology), and using machine learning to calculate susceptibility scores, resulting in a detailed FF susceptibility map. …”
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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…We segment data from various sensors within the automatic dependent surveillance-broadcast system using a designed sliding window of equal time steps, inputting them into the feature extraction network to capture spatiotemporal features. …”
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AttentionEP: Predicting essential proteins via fusion of multiscale features by attention mechanisms by Chuanyan Wu, Bentao Lin, Jialin Zhang, Rui Gao, Rui Song, Zhi-Ping Liu

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Anterior insular cortex glutamate-glutamine (Glx) levels predict general psychopathology via heightened error sensitivity by Haeorum Park, Minchul Kim, Minchul Kim, Jaejoong Kim, Jaejoong Kim, Sunghwan Kim, Sunghwan Kim, Bumseok Jeong

“…AIC Glx fell during gain learning (−2.21%, p = 0.034) and remained low post-task, whereas mPFC Glx was unchanged. …”
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Accuracy of Detecting Degrees of Lameness in Individual Dairy Cattle Within a Herd Using Single and Multiple Changes in Behavior and Gait by Xi Kang, Junjie Liang, Qian Li, Gang Liu

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Characterization and clustering of intra-day physical activity patterns using accelerometry among sexual and gender minority adults by David Lopez-Veneros, Billy A. Caceres, Kasey Jackman, Joseph A. Belloir, Yashika Sharma, Suzanne Bakken, Ipek Ensari

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The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution by Yumeng Ye, John Talburt

“…When applied to datasets containing more than two references, ER is a two-step process. Step One is to classify pairs of records as linked or not linked. …”
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Discovering language discovering language properties through corpus-based dictionary data analysis by Paul A. Lyddon

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LSTM-Based Music Generation Technologies by Yi-Jen Mon

“…To address this, we employed various tools to deconstruct the musical structure, conduct step-by-step learning, and then reconstruct it. This article primarily presents the techniques for dissecting musical components in the preliminary phase. …”
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Focus-on-Form Through Collaborative Scaffolding in Expert-to-Novice Online Interaction by Lina Lee

“…Despite the fact that the experts were able to provide step-by-step scaffolding at the right moment to call learners’ attention to non-target-like-forms that resulted in error corrections, they needed to be made aware of not over-intervening as students reported interference between the expert's goals and the learner's. …”
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Introduce-Operate-Network (ION) Model: A Teaching Innovation on Formula Writing and Naming of Compounds in Chemistry by John Kenneth Taneo, Manilyn Narca, Joje Mar Sanchez

“…Thematic analysis of student experiences highlighted the efficacy of the ION learning model in facilitating step-by-step learning, though challenges were noted. …”
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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

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Cross-Method Overview of Fleet-Based Machine Health Estimation and Prediction: A Practical Guide for Industrial Applications by Xuqian Yan, Janis Woelke, Boris Bensmann, Christoph Eckert, Richard Hanke-Rauschenbach, Astrid Niebe

“…This work also provides a step-by-step guide for industry practitioners to incorporate fleet knowledge, which emphasizes business requirements and highlights an iterative method development process. …”
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Planning and Scheduling System for Electric Vehicle Charging by Piotr Palka, Tomasz Sliwinski, Przemyslaw Kaszynski, Marta Kuta, Bogdan Ruszczak, Marcin Malec, Piotr Saluga, Jacek Kaminski

“…The research details the functional requirements of this procedure application and its architecture. A step-by-step description of the optimization model is provided, in particular, the constraints responsible for the non-linear model of charging time, the varying time zone-dependent trip parameters (including rush hours), as well as the used optimization criteria, and the scalarization methods. …”
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Interpretable graph methods for determining nanoparticles ordering in electron microscopy image by M.Y. Kurbakov, V.V. Sulimova, O.S. Seredin, A.V. Kopylov

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