VLDB 2026 Research / reviewers in the wild / expert
Meshal Shutaywi
dblp:212/9248 · also Mishal Shutaywi
· DBLP profile ↗
8ranked-venue papers
0as first author
8since 2021 · last 2025
0000-0003-1454-2962ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 since 2021Databases, data management, data science and information retrieval · 3 · 3 since 2021Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Explainable deep learning model with the internet of medical devices for early lung abnormality detection
Nisreen Innab, Saad Alahmari, Meshal Shutaywi, Sara A. Althubiti, Ali Ahmadian |
Eng. Appl. Artif. Intell. | 4 |
| 2025 | Selecting of software development project using fuzzy bipolar soft prioritized aggregation operators
ZhongJie Shen, Wejdan Deebani, Fazli Amin, Nasser Aedh Alreshidi, Meshal Shutaywi |
Expert Syst. Appl. | 6 |
| 2025 | Enhancing teaching learning based optimization algorithm through group discussion strategy for CEC 2017 benchmark problems
Muhammad Sagheer, Muhammad Asif Jan, Zahir Shah, Wali Khan Mashwani, Rashida Adeeb Khanum, Meshal Shutaywi |
Soft Comput. | 6 |
| 2023 | Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing
Mingye Li, Haiwei Lei, Riza Sulaiman, Wejdan Deebani, Meshal Shutaywi |
J. Grid Comput. | 6 |
| 2023 | UAV flight path design using multi-objective grasshopper with harmony search for cluster head selection in wireless sensor networks
Peizhen Xing, Mohamed Elsayed Ghoneim, Meshal Shutaywi |
Wirel. Networks | 4 |
| 2022 | Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Xiaochun Lei, Ummul Hanan Mohamad, Aliza Sarlan, Meshal Shutaywi, Yousef Ibrahim Daradkeh, Hazhar Omer Mohammed |
Inf. Process. Manag. | 4 |
| 2022 | Real-world model for bitcoin price prediction
Rajat Kumar Rathore, Deepti Mishra 0002, Pawan Singh Mehra, Om Pal, Ahmad Sobri Hashim, Azrulhizam Shapi'i, Tiziana Ciano, Meshal Shutaywi |
Inf. Process. Manag. | 8 |
| 2021 | Knowledge measure for the q-rung orthopair fuzzy setsabstractThe q-rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge measure for qROFS by using the tangent inverse function. This is the first approach to quantify the knowledge associated with qROFS. The membership and nonmembership functions as well as the hesitancy margin are used to define the knowledge measure which makes it capable of considering both knowledge and fuzziness. The entropy measure which is the dual of the knowledge measure is also defined. The properties of the proposed knowledge measure with graphical explanations are discussed. An application of the proposed knowledge measure in multiattribute group decision making problem under confidence level approach is given. Muhammad Jabir Khan, Poom Kumam, Meshal Shutaywi |
Int. J. Intell. Syst. | 3 |