Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges
The pressure of energy crisis and environmental protection has fueled the rapid
development of electric vehicles. The lithium-ion batteries are widely used in electric …
development of electric vehicles. The lithium-ion batteries are widely used in electric …
[HTML][HTML] Flexibility in manufacturing system design: A review of recent approaches from Operations Research
Due to increasing demand uncertainty and product variety, manufacturing systems must
continually adapt to maintain productivity. Generally, decision-makers can maintain flexibility …
continually adapt to maintain productivity. Generally, decision-makers can maintain flexibility …
Quantum fuzzy neural network for multimodal sentiment and sarcasm detection
Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …
A sustainable medical waste collection and transportation model for pandemics
We are currently experiencing a critical period for the prevention and control of the COVID-
19 pandemic. COVID-19 related waste is a threat to global public environmental health …
19 pandemic. COVID-19 related waste is a threat to global public environmental health …
Development of an IoT architecture based on a deep neural network against cyber attacks for automated guided vehicles
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks
based on a developed deep neural network (DNN) with a rectified linear unit in order to …
based on a developed deep neural network (DNN) with a rectified linear unit in order to …
Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era
Effective supply chain management is crucial for economic growth, and sustainability is
becoming a key consideration for large companies. COVID-19 has presented significant …
becoming a key consideration for large companies. COVID-19 has presented significant …
A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries
Nowadays, the intensification of a competitive environment in markets in conjunction with
sustainability issues has forced organizations to concentrate on designing sustainable …
sustainability issues has forced organizations to concentrate on designing sustainable …
A flexible robust model for blood supply chain network design problem
Abstract World Health Organization (WHO) declared COVID-19 as a pandemic On March 12,
2020. Up to January 13, 2022, 320,944,953 cases of infection and 5,539,160 deaths have …
2020. Up to January 13, 2022, 320,944,953 cases of infection and 5,539,160 deaths have …
CFN: a complex-valued fuzzy network for sarcasm detection in conversations
Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
An integrated decision-making approach for green supplier selection in an agri-food supply chain: Threshold of robustness worthiness
Along with the increased competition in production and service areas, many organizations
attempt to provide their products at a lower price and higher quality. On the other hand …
attempt to provide their products at a lower price and higher quality. On the other hand …