Breast cancer prediction and detection using data mining classification algorithms: a comparative study

MK Keleş - Tehnički vjesnik, 2019 - hrcak.srce.hr
Sažetak Today, cancer has become a common disease that can afflict the life of one of every
three people. Breast cancer is also one of the cancer types for which early diagnosis and …

Machine learning for construction crew productivity prediction using daily work reports

A Sadatnya, N Sadeghi, S Sabzekar, M Khanjani… - Automation in …, 2023 - Elsevier
Construction productivity estimation lacks a comprehensive, standard, and task-type-
independent framework to generate and serialize Machine Learning (ML) models. This …

[HTML][HTML] Labour-related factors affecting construction productivity in Sri Lankan building projects: perspectives of engineers and managers

K Manoharan, P Dissanayake, C Pathirana… - … in Engineering and …, 2022 - emerald.com
Purpose Past studies highlight a wide range of labour-related problems resulting in
productivity loss in the construction industry of many developing countries. This study aims …

An overview: The impact of data mining applications on various sectors

M Kaya Keleş - Tehnički glasnik, 2017 - hrcak.srce.hr
Sažetak In recent years, it has become difficult to reach to the reliable information with
increasing complicated, non-significant, unclear, large and raw data. The need for accurate …

Machine learning for the identification of competent project managers for construction projects in Nepal

S Karki, B Hadikusumo - Construction Innovation, 2023 - emerald.com
Purpose Project manager's competency is crucial in the construction sector for the
successful completion of projects, particularly in the case of developing countries like Nepal …

[HTML][HTML] Application of Kansei engineering and data mining in the Thai ceramic manufacturing

C Kittidecha, K Yamada - Journal of Industrial Engineering International, 2018 - Springer
Ceramic is one of the highly competitive products in Thailand. Many Thai ceramic
companies are attempting to know the customer needs and perceptions for making favorite …

Bi-level integration of discrete-event simulation (DES) and social force modeling (SFM) for construction labor productivity

MN Rad, M Maghrebi - Automation in Construction, 2024 - Elsevier
Optimizing construction labor productivity is a challenge due to the inherent uncertainties of
construction projects. While increasing the workforce size is often perceived as a strategy to …

[HTML][HTML] Investigation of Lean Production Knowledge among Employees in Building Inspection Organizations

AE Keleş, HK Yılmaz - Sustainability, 2022 - mdpi.com
Currently, lean construction has become very important, with lean manufacturing, a
philosophy of production that in the most basic sense refers to the elimination of waste and …

Proposed artificial bee colony algorithm as feature selector to predict the leadership perception of site managers

M Kaya Keles, U Kilic, AE Keles - The Computer Journal, 2021 - academic.oup.com
Datasets have relevant and irrelevant features whose evaluations are fundamental for
classification or clustering processes. The effects of these relevant features make …

Simplified Solution of Time-Cost Trade-off Problem for Building Constructions by Linear Scheduling.

ÖH Bettemir, T Yücel - Jordan Journal of Civil Engineering, 2023 - search.ebscohost.com
Time-cost trade-off is an important optimization problem for contractors, because its optimum
solution minimizes the total project cost. Formation of the time-cost trade-off problem causes …