Machine learning and deep learning: A review of methods and applications
K Sharifani, M Amini - World Information Technology and …, 2023 - papers.ssrn.com
Abstract Machine learning and deep learning have rapidly emerged as powerful tools in
many fields, including image and speech recognition, natural language processing, and …
many fields, including image and speech recognition, natural language processing, and …
Evaluating the effect of supply chain management practice on implementation of halal agroindustry and competitive advantage for small and medium enterprises
N Jahanbakhsh Javid, M Amini - International Journal of Computer …, 2023 - papers.ssrn.com
Effective supply chain management (SCM) has become a potentially valuable way to secure
competitive advantage and improve organizational performance because competition is no …
competitive advantage and improve organizational performance because competition is no …
A multi-perspective framework established on diffusion of innovation (DOI) theory and technology, organization and environment (TOE) framework toward supply …
M Amini, N Jahanbakhsh Javid - Organization and Environment …, 2023 - papers.ssrn.com
Cloud Computing (CC) has emerged as one of the most discussed topics among enterprise
information technology (IT) professionals. Small and Medium Enterprises (SMEs) with low …
information technology (IT) professionals. Small and Medium Enterprises (SMEs) with low …
How strategic agility affects the competitive capabilities of private banks
Developing capabilities of agility, rapid responsiveness and adaptation to environmental
changes are known as tools to gain competitive advantage. Strategic agility is a developed …
changes are known as tools to gain competitive advantage. Strategic agility is a developed …
Machine learning model towards evaluating data gathering methods in manufacturing and mechanical engineering
Abstract Supervised Machine Learning (ML) models require extensive training data to
properly approximate the behavior of complex mechanical processes and systems. Real …
properly approximate the behavior of complex mechanical processes and systems. Real …
Machine learning process evaluating damage classification of composites
Composite materials have tremendous and ever-increasing applications in complex
engineering systems; thus, it is important to develop non-destructive and efficient condition …
engineering systems; thus, it is important to develop non-destructive and efficient condition …
[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …
collaborate, and communicate positively. The same platform can be extended to a fabricated …
[PDF][PDF] Integrating life cycle assessment and green supply chain management for sustainable business practices
C Yun, M Shun, K Jackson, L Newiduom… - International Journal of …, 2023 - isi.ac
In today's world, the pursuit of sustainable business practices has become crucial for
organizations across industries. This article explores the integration of Life Cycle …
organizations across industries. This article explores the integration of Life Cycle …
A Hybrid forecasting method for anticipating stock market trends via a soft-thresholding de-noise model and support vector machine (SVM)
L Zhang, C Li, L Chen, D Chen, Z Xiang… - World Basic and Applied …, 2023 - papers.ssrn.com
Stock market time series are inherently noisy. Although support vector machine has the
noise-tolerant property, the noised data still affect the accuracy of classification. Compared …
noise-tolerant property, the noised data still affect the accuracy of classification. Compared …