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436 articles for “SHAP”
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Research ArticleOpen accessIn the keywordsForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,135 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,351 accessesView PDFCite
Research ArticleOpen accessIn the keywordsXAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress IdentificationFateh Bahadur Kunwar, Rakesh Kumar Yadav, Hitendra Singh, Nitin TripathiOver the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' and patients'trust in AI applications, AI systems need to explain their actions. This iscalled Explainable AI (XAI). While significant progress has been achievedin stress prediction models, XAI has not advanced as much. … …Journal of Computer Science, Vol. 21, Issue 5 · 6 May 2025 · 6,173 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInheritance of Leaf Characters in Sweet Potato (Ipomoea batatas [L.] Lam.)Alfredo Morales, Dania RodríguezThis study aimed to establish foundational knowledge regarding the inheritance patterns of two foliar traits (leaf morphology and midrib pigmentation) in Ipomoea batatas. To overcome the challenges associated with discretely classifying color and shape frequencies, five morphometric descriptors were employed. Two of these parameters addressed leaf shape (Circularity and Aspect Ratio), while three characterized the color of the central vein … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 3 Jul 2026 · 1,421 accessesView PDFCite
Research ArticleOpen accessIn the keywords2D Kinematic Quantification of Soil Particles around Growing Plant Root based on Optical MechanicsWenbin Wu, Jian ZhaoThe quantitative kinematic description of the surrounding soil particles during root growth is a technical challenge and biologically important. In this study, a two-dimensional camera-based imaging system was used to observe micro scale interactions between plant roots and soil particles. Maize root tip was imaged during ingress into the soils. This produced a series of two-dimensional images that represent temporal … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 4 · 21 Oct 2020 · 6,413 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvanced Manufacturing for Novel Materials in Industrial Design ApplicationsFrancesco Tamburrino, Antonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe research presented starts with a focus on Smart Materials, or rather materials with properties that react to external stimuli (temperature, electric or magnetic field, pH or mechanical stress, for example) related to the environmental changes, modifying one or some of their own properties (mechanical, electrical, appearance, etc.). Afterward, one category of Smart Materials, Shape Memory Alloys (SMAs), has been … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 30 May 2018 · 8,540 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBiomechanically Inspired Machines, Driven by Muscle Like Acting NiTi AlloysAntonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe Shape of the Memory Alloy (SMA) is a very promising class of metallic materials with interesting non-linear properties such as Pseudo-Elasticity (PE), memory (MEM) and damping capacity due to high mechanical hysteresis and internal friction. Research shows a bioinventory approach to Shape Memory Alloy (SMA) design, a class of intelligent materials capable of reacting to a pulse (thermal for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 23 May 2018 · 8,288 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Meshing of Structured Boundary Domains in Numerical AnalysesArnulf Kost, Kokou Tcharie, Ayité Senah Akoda Ajavon et al.The analysis of a practical problem using numerical methods such as Finite Element Method (FEM) or Boundary Element Method (BEM) involves the subdivision of the space occupied by a physical system (named domain) or its boundary into sub-domains or sub-boundaries called elements. This task, known as mesh generation or domain-discretization, is no more trivial if domains of real or industrial … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 23 Oct 2017 · 7,856 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPreliminary Experimental and Finite-Element Numerical Assessment of the Structural Performance of SMA-Reinforced GFRP SystemsFilipe Amarante dos Santos, Chiara BedonIn this study, the feasibility and potentiality of a novel design concept is explored by means of small scale experimental tests and Finite-Element numerical simulation. Taking advantage of the intrinsic potentiality of Shape-Memory Alloys wires able to work as adaptive actuators when subjected to joule heating, a 'smart-GFRP' concept consisting in Glass-Fiber-Reinforced-Polymer (GFRP) structural members with a SMA reinforcement is … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 27 Sep 2016 · 8,298 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTwo Simple Yet Effective Strategies for Avoiding Over-Smoothing in SFS ProblemMonica Carfagni, Rocco Furferi, Lapo Governi et al.Minimization techniques are widely used for retrieving a 3D surface starting from a single shaded image i.e., for solving the shape from shading problem. Such techniques are based on the assumption that expected surface to be retrieved coincides with the one that minimize a properly developed functional, consisting of several contributions. Among the possible contributes defining the functional, the so … …Journal of Computer Science, Vol. 12, Issue 3 · 20 Apr 2016 · 8,127 accessesView PDFCite