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  • Article
  • Open Access
37 Citations
6,382 Views
17 Pages

A Novel Hybrid Approach for Technology Selection in the Information Technology Industry

  • Nima Garoosi Mokhtarzadeh,
  • Hannan Amoozad Mahdiraji,
  • Moein Beheshti and
  • Edmundas Kazimieras Zavadskas

High-tech companies are rapidly growing in the world. Research and development (hereafter R&D) department strength is the main asset that allows a firm to achieve a competitive advantage in high-tech businesses. The allocated budget to this secto...

  • Article
  • Open Access
386 Views
21 Pages

12 August 2026

Cyanobacterial blooms threaten water resource security and ecological health, and understanding their spatiotemporal dynamics is crucial for effective management. To investigate the spatiotemporal dynamics of cyanobacterial blooms in Lake Taihu under...

(This article belongs to the Section Environmental Sustainability and Applications)
  • Article
  • Open Access
14 Citations
3,432 Views
15 Pages

Differentiation of Geographical Origin of White and Brown Rice Samples Using NMR Spectroscopy Coupled with Machine Learning Techniques

  • Maham Saeed,
  • Jung-Seop Kim,
  • Seok-Young Kim,
  • Ji Eun Ryu,
  • JuHee Ko,
  • Syed Farhan Alam Zaidi,
  • Jeong-Ah Seo,
  • Young-Suk Kim,
  • Do Yup Lee and
  • Hyung-Kyoon Choi

24 October 2022

Rice (Oryza sativa L.) is a widely consumed food source, and its geographical origin has long been a subject of discussion. In our study, we collected 44 and 20 rice samples from different regions of the Republic of Korea and China, respectively, of...

(This article belongs to the Section Food Metabolomics)
  • Review
  • Open Access
12 Citations
5,060 Views
18 Pages

26 February 2025

Objectives: This scoping review aimed to provide both researchers and practitioners with an overview of how machine learning (ML) methods are applied to infrared spectroscopy for the diagnosis and prognosis of head and neck precancer and cancer. Meth...

(This article belongs to the Special Issue Novel Approaches to Machine Learning and Artificial Intelligence in Cancer Research and Care)