Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study by Yuan-Hsin Chen, Ching-Hsuan Lin, Chiao-Hsin Fan, An Jim Long, Jeremiah Scholl, Yen-Pin Kao, Usman Iqbal, Yu-Chuan Jack Li

“…Machine learning (ML) models, which have shown success in detecting medication errors, may offer a solution by identifying unusual procedure-diagnosis combinations. …”
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Methodology for plotting the flight planned route change of the aircraft in flight by M. A. Kiselev, Y. S. Kalyuzhny, A. V. Karpov, S. F. Borodkin

“…This highlights the complexity and non-triviality of the pilot's task of autonomously finding a safe obstacle avoidance route on board the aircraft.…”
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Tracking dustbathing behavior of cage-free laying hens with machine vision technologies by Bidur Paneru, Ramesh Bist, Xiao Yang, Lilong Chai

“…The objectives of this study were to (1) develop and test a deep learning model for detecting DB behavior and find out the optimal model; and (2) assess the performance of the optimal model in detecting DB behavior at different growing phases. …”
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Artificial intelligence applications in pediatric ophthalmology: A comprehensive review by Anupama Janardhanan, Meenakshi Ravindran, Allapitchai Fathima, Neelam Pawar

“…This review examines the current applications of AI in pediatric ophthalmology, synthesizing findings from various studies to illuminate both the promising opportunities and the challenges that remain. …”
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Rancang Bangun dan Evaluasi Sistem Sortir Otomatis Barang dengan Metode Deteksi Objek YOLO v5 dan Kendali PLC Outseal by Daniel Sutopo Pamungkas, Shendy Saputra, Anastasya Andaresta Pelmelay

“… Manual sorting in manufacturing is time-consuming, labor-intensive, and prone to errors, especially when items have similar colors and shapes. …”
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A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles by Kesava reddy, Kumudham R

“…The complexity of these systems often results in connected devices undergoing errors, and there is an occurrence of risk at various cyber-attacks. …”
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Precision Soil Moisture Monitoring Through Drone-Based Hyperspectral Imaging and PCA-Driven Machine Learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…Moreover, over the growing season, when corn exhibits high chlorophyll content and increased resilience to environmental stressors, the correlation between canopy spectrum and root zone soil moisture weakens. Error analysis revealed the lowest relative estimation errors in non-irrigated plots at a 30 cm depth, aligning with periods of elevated water stress at shallower levels, which drove deeper root growth and strengthened the canopy reflectance relationship. …”
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Correct/Incorrect Analysis of Responses When Estimating the Cognitive Function of Spontaneous Language in the Elderly by Toshiharu Igarashi, Katsuya Iijima, Kunio Nitta, Yu Chen

“…” Furthermore, differences in question content had a substantial impact on the participants’ responses; for instance, questions related to ADL (activities of daily living) elicited more “socially acceptable responses,” whereas questions regarding orientation often resulted in “memory errors” or “lack of understanding.” These findings suggest that routine interaction with AI agents can potentially enable the early detection of cognitive decline in older adults, facilitating timely and appropriate interventions. …”
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P300 ERP System Utilizing Wireless Visual Stimulus Presentation Devices by Yuta Sasatake, Kojiro Matsushita

“…These findings demonstrate that the system can function as a P300 speller and be utilized as an interface equivalent to conventional display-based methods.…”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Difficulties, possible errors and people’s opinion were also highlighted. …”
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Development of RelaxQuest: A Serious EEG-Controlled Game Designed to Promote Relaxation and Self-Regulation with a Potential Focus on ADHD Intervention by Alan F. Pérez Vidal, José-Antonio Cervantes, Jesse Y. Rumbo-Morales, Felipe D. J. Sorcia-Vázquez, Gerardo Ortiz-Torres, Christian A. Castro Moncada, Ignacio de la Torre Arias

“…These include omission errors, commission errors, response times, standard deviations of response times, and other relevant variables. …”
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Optimized design and performance evaluation of a highly precise variable rate mis-planting and replanting potato electronic-metering mechanism by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ali Salem, Ali Salem, Ahmed Z. Dewidar, Ahmed Z. Dewidar

“…IntroductionPrecise seed placement during potato planting critically determines crop distribution and density, yet mis-planting remains a persistent agricultural challenge. Current manual detection and correction methods introduce inefficiencies, increase labor costs, and risk human error.MethodologyTo address these limitations, this study developed and evaluated a high-precision variable-rate electronic metering mechanism (EMM) capable of automated mis-planting detection and replanting under controlled laboratory conditions. …”
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Exploring Grammatical Structure: A Corpus Analysis on the Use of “To Be” in Vocational Students’ WhatsApp Group Conversations using AntConc by Muhammad Arba’in, Itsna Millatul Himmayati, Dwi Hastuti, Desi Nosita, Triyoko Triyoko

“…The analysis involves employing a descriptive method from corpus linguistic research to understand sentence variations and detect common errors related to the usage of “to be”. …”
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

“…The experiment show that the algorithm for traditional neural network algorithm for function fitting better test; on breast_cancer dataset, the accuracy is 97 57% and the detect errors is 2 07%,better than the classical machine learning algorithms…”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…The performance of each machine learning method at predicting accrual-based earnings management and real earnings management was evaluated based on three criteria: type Ι error, type ΙΙ error, and average accurac.FindingThe results show that the performance of accrual-based earnings management forecasting methods based on the relief-based feature selection model is better than the feature selection model based on principal component analysis. …”
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Neuropsychological Performance: How Mental Health Drives Attentional Function in University-Level Football Athletes by Sacha Assadourian, Dima Daher, Catherine Leclerc, Antony Branco Lopes, Arnaud Saj

“…In a clinical context, they emphasize the need for early detection and intervention in mental health problems. …”
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Reevaluating Backup Monitor Chamber Tolerances for Stereotactic Body Radiotherapy Treatments using Volumetric-modulated Arc Therapy by Yong Sang, Jun Dang, Jianan Wu, Enzhuo Quan

“…We recommend a tolerance as close to 0.0% as possible to minimize the delivery errors and ensure patient safety. Further research is needed to validate these findings across different accelerator models and patient populations.…”
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Enhancing Health Mention Classification Through Reexamining Misclassified Samples and Robust Fine-Tuning Pre-Trained Language Models by Deyu Meng, Tshewang Phuntsho, Tad Gonsalves

“…Our findings demonstrate the method’s effectiveness in improving health mention detection and contribute to the field of explainable AI, offering insights into the decision-making process of models. …”
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A machine vision approach for classification and dimensional design of furniture panels using GMM-SVM by Yuan Tian, Li Zhao, Haoxin Li

“…The study presents a classification, identification, detection, and design approach based on machine vision to effectively enhance the quality of furniture manufacture. …”
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The Application of Earth Observation Data to Desert Locust Risk Management: A Literature Review by Gachie Eliud Baraka, Giudo D’Urso, Oscar Rosario Belfiore

“…The review reveals that the application of EO technology is inclined in favour of desert locust habitat suitability assessment with a limited financial quantification of losses. The review also finds a progressive advancement in the use of multi-modelling approaches to address identified gaps and reduce computational errors. …”
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