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Artificial intelligence in dentistry—A review
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …
Generative artificial intelligence in drug discovery: basic framework, recent advances, challenges, and opportunities
There are two main ways to discover or design small drug molecules. The first involves fine-
tuning existing molecules or commercially successful drugs through quantitative structure …
tuning existing molecules or commercially successful drugs through quantitative structure …
[HTML][HTML] Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: an application in financial inclusion
Non-cooperative behavior is a common situation in large-scale group decision-making
(LSGDM) problems. In addition, decision makers in LSGDM often use different preference …
(LSGDM) problems. In addition, decision makers in LSGDM often use different preference …
Heterogeneous large-scale group decision making using fuzzy cluster analysis and its application to emergency response plan selection
As the number of people involved in a decision-making problem increases, the complexity of
the group decision-making (GDM) process increases accordingly. The size of participants …
the group decision-making (GDM) process increases accordingly. The size of participants …
[HTML][HTML] Soft consensus cost models for group decision making and economic interpretations
In a group decision-making (GDM) process, experts reach a consensus after discussion and
persuasion, which requires a moderator to spend time and resource to persuade experts to …
persuasion, which requires a moderator to spend time and resource to persuade experts to …
Machine learning methods for systemic risk analysis in financial sectors.
Financial systemic risk is an important issue in economics and financial systems. Trying to
detect and respond to systemic risk with growing amounts of data produced in financial …
detect and respond to systemic risk with growing amounts of data produced in financial …
Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination
The paper proposes a Trust Relationship-based Conflict Detection and Elimination decision
making (TR-CDE) model, applicable for Large-scale Group Decision Making (LSGDM) …
making (TR-CDE) model, applicable for Large-scale Group Decision Making (LSGDM) …
A large scale group decision making system based on sentiment analysis cluster
Nowadays, group decision making is an everyday occurrence in different scenarios, such as
marketing or social networks. These social networks have facilitated communication …
marketing or social networks. These social networks have facilitated communication …
[HTML][HTML] An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement
Urban resettlement projects involve a large number of stakeholders and impose tremendous
cost. Develo** resettlement plans and reaching an agreement amongst stakeholders …
cost. Develo** resettlement plans and reaching an agreement amongst stakeholders …
Machine learning in business and finance: a literature review and research opportunities
This study provides a comprehensive review of machine learning (ML) applications in the
fields of business and finance. First, it introduces the most commonly used ML techniques …
fields of business and finance. First, it introduces the most commonly used ML techniques …