Sustainable supply chain management and green technologies: a bibliometric review of literature

Z Yu, M Waqas, M Tabish, M Tanveer, IU Haq… - … Science and Pollution …, 2022 - Springer
To attain ecological sustainability and transition to sustainable supply chain management
(SSCM), effective technological innovation (TI) and solid waste management (SWM), as …

[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions

KY Chan, B Abu-Salih, R Qaddoura, AZ Ala'M… - Neurocomputing, 2023 - Elsevier
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …

Supply chain viability in the context of COVID-19 pandemic in small and medium-sized enterprises: implications for sustainable development goals

SB Nasir, T Ahmed, CL Karmaker, SM Ali… - Journal of Enterprise …, 2022 - emerald.com
Purpose The recent outbreak of the coronavirus disease 2019 (COVID-19) pandemic has
severely disrupted the operations of global supply chains (SCs) providing an opportunity for …

Machine learning models for evaluating the benefits of business intelligence systems

MA Tripathi, K Madhavi, VSP Kandi, VK Nassa… - The Journal of High …, 2023 - Elsevier
Due to the uncertainty of the market and the intensity of rivalry, business owners and
managers are often compelled to experiment with a wide variety of strategies for enhancing …

[PDF][PDF] The role of machine learning in transforming business intelligence

JP Bharadiya - International Journal of Computing …, 2023 - computersciencejournals.com
Abstract Machine Learning (ML) has emerged as a transformative force in the field of
Business Intelligence (BI), revolutionizing the way organizations extract insights from vast …

The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods

S Birim, I Kazancoglu, SK Mangla, A Kahraman… - Annals of Operations …, 2024 - Springer
In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …

[BOOK][B] Artificial intelligence for fashion: How AI is revolutionizing the fashion industry

L Luce - 2018 - books.google.com
Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an
application focused approach, this book provides real-world examples, breaks down …

[PDF][PDF] Prediction of cloud ranking in a hyperconverged cloud ecosystem using machine learning

N Tabassum, A Ditta, T Alyas, S Abbas… - … Materials & Continua, 2021 - cdn.techscience.cn
Cloud computing is becoming popular technology due to its functional properties and variety
of customer-oriented services over the Internet. The design of reliable and high-quality cloud …

Streamlining Inventory Forecasting with Weighted Moving Average Method at Parta Trading Companies

K Suryadana, IBG Sarasvananda - Jurnal Galaksi, 2024 - ejournal.pancawidya.or.id
The process that is currently running at Parta trading companies, along with its development,
problems that often occur in the warehouse section arise, namely the accumulation of stock …

Addressing Seasonality and Trend Detection in Predictive Sales Forecasting: A Machine Learning Perspective

MDR Hasan - Journal of Business and Management Studies, 2024 - al-kindipublisher.com
Sales prediction plays a paramount role in the decision-making process for organizations
across various industries. Nonetheless, accurately predicting sales is challenging because …