Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

449 results for “SHAP”

Set a search alert
Research ArticleOpen accessEvery word in the titleWideband E-Shaped Microstrip Antenna for Wireless Sensor NetworksG. Elangovan, J. Rajapaul PerinbamProblem statement: Wireless Sensor Networks (WSN) is currently receiving significant attention due to their unlimited potential. It is still very early in the lifetime of such systems and many research challenges exist, out of which one of the challenges is sensor processing and fusion under limited capacities, the most important component in sensor is its TX/RX antenna. Approach: For high-speed … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,106 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT NetworksVibhor Harit, Rajeev Dahiya, Umang Garg, Anil KumarThe Internet of Things (IoT) encompasses a wide range of applications from wearable devices to smart homes, as well as industrial automation and smart cities. As IoT networks and devices continue to grow rapidly, security has become crucial. There are many techniques utilized to provide security aspects in IoT networks. These security aspects focus on mitigating risks and fixing vulnerabilities … …Journal of Computer Science, Vol. 22, Issue 7 · 23 Jul 2026 · 1,005 accessesView PDFCite
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 · 1,130 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 · 1,341 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 · 6,161 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 · 1,409 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 · 6,411 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 · 8,535 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 · 8,279 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 · 7,849 accessesView PDFCite