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Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods
Published 2025-01-01Get full text
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods
Published 2024-11-01Get full text
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Reassessing academic integrity in the age of AI: A systematic literature review on AI and academic integrity
Published 2025-01-01“…The discussion section was developed based on PICO frameworks – population of the study, intervention with AI tools, comparison of modern and traditional methods, and outcome of AI use for academic activities – to answer the research question. …”
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Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis
Published 2024-10-01“…Traditional SpO<sub>2</sub> estimation methods have limitations, which can be addressed by analyzing photoplethysmography (PPG) signals with artificial intelligence (AI) techniques. …”
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Assessment of AI-based monitoring method in assessing oral hygiene during orthodontic treatment
Published 2025-06-01“…The current research was done to assess the AI-based monitoring method in improving oral hygiene during orthodontic procedure. …”
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AI-based Personalization of Social Media Thumbnails Using the Stacked ID Embedding Method
Published 2025-07-01“…To address this issue, scientists developed a text-based image generation model, PotionPix, that allows users to generate thumbnails on the fly based on text prompts and relevant images via a "Stacked ID Embedding" method. This method combines multiple identity embeddings—e.g., user interests, platform context, and content genre—into one vector representation to guide the AI to create more personalized and contextually appealing thumbnails. …”
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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions
Published 2025-01-01“…We review current strategies for responsible AI deployment, including regulatory frameworks, human-centered design principles, and privacy-preserving methods. …”
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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models
Published 2025-05-01“…Applied to a private cardiovascular dataset, our MLSpecialReduct algorithm achieves a peak Random Forest accuracy of 0.99 (versus 0.85 without feature selection), while MLFuzzyRoughSet improves accuracy to 0.83, surpassing our MLVarianceThreshold (0.72–0.77), an adaptation of the traditional VarianceThreshold method. We integrate these RST techniques with preprocessing (discretization, normalization, encoding) and compare them against traditional approaches across classifiers like Random Forest and Naive Bayes. …”
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An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection
Published 2024-10-01“…The study integrates and evaluates the capability of two approaches for mining methods selection (MMS): the memory-based collaborative filtering (CF) approach aided by the UBC-MMS system to predict the top-3 relevant mining methods and supervised machine learning (ML) classification algorithms to enhance the effectiveness and novelty of the AI-MMRS, addressing the limitations of the CF approach. …”
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Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study
Published 2025-04-01“…ConclusionsThrough this work, we contributed insights into the mental health professional perspective on the design of chatbots used for mental health and underscore the necessity of ongoing critical assessment and iterative refinement to maximize the benefits and minimize the risks associated with integrating AI into mental health support.…”
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An integrated method of selecting environmental covariates for predictive soil depth mapping
Published 2019-02-01Get full text
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When AI Joins the scope: Canadian endoscopists’ perceptions of NodeAI versus conventional methods for identifying lymph node malignancies in EBUS imaging.
Published 2025-07-01“…Using a convergent parallel design mixed-methods approach, nine experienced participants, including thoracic surgeons and pulmonologists in North America, were surveyed and participated in a focus group to assess their perspectives on AI integration into EBUS-TBNA cases. …”
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Enhancing landslide susceptibility predictions with XGBoost and SHAP: a data-driven explainable AI method
Published 2025-12-01“…The XGBoost model achieved 92.87% accuracy and an AUC of 0.96, outperforming traditional methods. SHAP analysis identified Distance from Roads, Elevation, Rainfall, and Slope as key influencing factors. …”
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An Ensemble Classification Method Based on a Stacking Strategy for Ship Type Classification with AIS Data
Published 2025-04-01“…Traditional ship type classification methods with AIS data are often plagued by problems such as data imbalance, insufficient feature extraction, reliance on single-model approaches, or unscientific model combination methods, which reduce the accuracy of classification. …”
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A Novel Method for Holistic Collision Risk Assessment in the Precautionary Area Using AIS Data
Published 2025-05-01“…An extensive analysis of vessel interactions in the precautionary area establishes a holistic collision risk index. A case study using AIS data from Ningbo–Zhoushan Port, involving a dataset of 1000 ship encounters, demonstrates the effectiveness of the proposed method. …”
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