| 841. |
Mobile Commerce: Promises, Challenges, and Research Agenda |
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| 842. |
Mobile Commerce: Assesing New Business Opportunities |
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| 843. |
Effects of Exchange Benefits, Security Concerns and Situational Privacy Concerns on Mobile Commerce Adoption |
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| 844. |
Studying the dimensions of m-interactivity and customers’ engagement in m-commerce applications |
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| 845. |
Detecting Phishing Domains Using Machine Learning |
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| 846. |
A Machine-Learning-Inspired Opinion Extraction Mechanism for Classifying Customer Reviews on Social Media |
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| 847. |
Machine learning based canine posture estimation using inertial data |
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| 848. |
Machine Learning-Based Label Quality Assurance for Object Detection Projects in Requirements Engineering |
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| 849. |
A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller |
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| 850. |
Parameter Optimization and Performance Analysis of Composite Substance That Can Prevent Burning Based on Machine Learning |
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| 851. |
Predicting congenital syphilis cases: A performance evaluation of different machine learning models |
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| 852. |
Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity. |
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| 853. |
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach. |
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| 854. |
Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions |
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| 855. |
Drought stress detection technique for wheat crop using machine learning |
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| 856. |
Predicting firm creation in rural Texas: A multi-model machine learning approach to a complex policy problem |
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| 857. |
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection |
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| 858. |
Better Safe Than Never: A Survey on Adversarial Machine Learning Applications towards IoT Environment |
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| 859. |
Python code smells detection using conventional machine learning models |
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| 860. |
Investigation on Machine Learning Approaches for Environmental Noise Classifications |
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