Original Article
Enhancing water pump failure prediction using machine learning: a focus on less-explored variables

Reza Rasinojehdehi; Goran Cirovic

Volume 2, Issue 3 , September 2023, Pages 124-135

https://doi.org/10.22105/cand.2024.437591.1088

Abstract
  In recent years, there has been a surge in research exploring the potential of Machine Learning (ML) for predicting water pump failures. While some studies have focused on supervised approaches, others have delved into unsupervised methods. However, the challenge lies in identifying the key variables ...  Read More

Original Article
A proposed model for the assessment of supply chain management using DEA and knowledge management

Nasim Ekram Nosratian; Mohammad Taghi Taghavi Fard

Volume 2, Issue 3 , September 2023, Pages 136-147

https://doi.org/10.22105/cand.2023.191008

Abstract
  Supply Chain Management (SCM) is an integrated system of planning and control of materials and information, including suppliers, manufacturers, distributors, retailers, and customers. Chain performance measurement is an important issue in SCM. Also, given that the information plays a key role in improving ...  Read More

Original Article
Urban-oriented studies and identification of target areas and neighborhoods in need of urban regeneration: case study in Abbas-Abad city

Hadi Faghihmaleki; Akbar Deilampour

Volume 2, Issue 3 , September 2023, Pages 148-162

https://doi.org/10.22105/cand.2024.433650.1085

Abstract
  A wide range of cities in the country and especially big cities are facing complex issues and problems in the areas of urban poverty, lack of safety, lack of infrastructure and services, structural instability of buildings and identity crisis. So far, many efforts have been made to change the existing ...  Read More

Original Article
Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness

Darko Bozanic

Volume 2, Issue 3 , September 2023, Pages 163-172

https://doi.org/10.22105/cand.2023.192505

Abstract
  Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.  Read More

Original Article
Unveiling patterns: a data-driven exploration of overseas residents' views on Qingdao's tourism development

Sahand Abdinematabad; Roghaye Ebadikhah; Mehdi Pourabdollah; Reza Rasinojehdehi

Volume 2, Issue 3 , September 2023, Pages 173-185

https://doi.org/10.22105/cand.2023.432811.1082

Abstract
  This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. Despite the pivotal role of tourism in regional economic growth, the views of foreign residents, who can act as cultural ...  Read More

Original Article
The pharmacognostic profile and pharmacological importance of cordia myxa-a review

Asif yousuf Wani; Rubeena Khaliq; Nazia Kousar; Sarika Pundir

Volume 2, Issue 3 , September 2023, Pages 186-194

https://doi.org/10.22105/cand.2024.437572.1086

Abstract
  This review provides an overview of the medicinal plant Cordia myxa (Boraginaceae), its pharmacognostic profile, traditional uses, and various medicinal importance in various aspects of medicinal science and recent developments in novel drug delivery. Recent trend of people shifting to natural products ...  Read More