Extended genetic algorithm for solving open-shop scheduling problem
AA Rahmani Hosseinabadi, J Vahidi, B Saemi… - Soft computing, 2019 - Springer
Open-shop scheduling problem (OSSP) is a well-known topic with vast industrial
applications which belongs to one of the most important issues in the field of engineering …
applications which belongs to one of the most important issues in the field of engineering …
Node localization in wireless sensor networks using butterfly optimization algorithm
Accurate localization of sensor nodes has a strong influence on the performance of a
wireless sensor network. In this paper, a node localization scheme using the application of …
wireless sensor network. In this paper, a node localization scheme using the application of …
A review of metaheuristic algorithms for optimizing 3D well-path designs
K Biswas, PM Vasant, JAG Vintaned… - Archives of Computational …, 2021 - Springer
Due to a variety of possible good types and so many complex drilling variables and
constraints, optimization of the trajectory of a complex wellbore is very challenging. There …
constraints, optimization of the trajectory of a complex wellbore is very challenging. There …
A comprehensive review on cold work of AISI D2 tool steel
MAS bin Abdul Rahim, M bin Minhat… - Metallurgical …, 2018 - metallurgical-research.org
As a common material in mould and die application, AISI D2 cold work tool steel has proven
to be a promising chosen material in the industries. However, challenges remain in using …
to be a promising chosen material in the industries. However, challenges remain in using …
New FMEA risks ranking approach utilizing four fuzzy logic systems
J Ivančan, D Lisjak - Machines, 2021 - mdpi.com
Process equipment and plant maintenance problems are complex in the oil refinery
business, since effective maintenance needs to ensure the reliability and availability of the …
business, since effective maintenance needs to ensure the reliability and availability of the …
[图书][B] Artificial intelligence in education
MNO Sadiku, SM Musa, UC Chukwu - 2022 - books.google.com
The quest for building an artificial brain developed in the fields of computer science and
psychology. Artificial intelligence (AI), sometimes called machine intelligence, refers to …
psychology. Artificial intelligence (AI), sometimes called machine intelligence, refers to …
A neutrosophic recommender system for medical diagnosis based on algebraic neutrosophic measures
M Ali, ND Thanh, N Van Minh - Applied Soft Computing, 2018 - Elsevier
Medical diagnosis is a procedure for the investigation of a person's symptoms on the basis
of disease. This problem has been investigated and applied to personal healthcare systems …
of disease. This problem has been investigated and applied to personal healthcare systems …
Measuring students' acceptance to AI-driven assessment in eLearning: Proposing a first TAM-based research model
Artificial Intelligence is one of the trend areas in research. It is applied in many different
contexts successfully. One of the contexts where Artificial Intelligence is applied is in …
contexts successfully. One of the contexts where Artificial Intelligence is applied is in …
An effective hybrid butterfly optimization algorithm with artificial bee colony for numerical optimization
In this paper, a new hybrid optimization algorithm which combines the standard Butterfly
Optimization Algorithm (BOA) with Artificial Bee Colony (ABC) algorithm is proposed. The …
Optimization Algorithm (BOA) with Artificial Bee Colony (ABC) algorithm is proposed. The …
A novel weighting scheme applied to improve the text document clustering techniques
Text clustering is an efficient analysis technique used in the domain of the text mining to
arrange a huge of unorganized text documents into a subset of coherent clusters. Where, the …
arrange a huge of unorganized text documents into a subset of coherent clusters. Where, the …