A literature survey of recent advances in chatbots
Chatbots are intelligent conversational computer systems designed to mimic human
conversation to enable automated online guidance and support. The increased benefits of …
conversation to enable automated online guidance and support. The increased benefits of …
Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better generalization
performance. Currently, deep learning architectures are showing better performance …
performance. Currently, deep learning architectures are showing better performance …
A critical review of state‐of‐the‐art chatbot designs and applications
Chatbots are intelligent conversational agents that can interact with users through natural
languages. As chatbots can perform a variety of tasks, many companies have committed …
languages. As chatbots can perform a variety of tasks, many companies have committed …
Digital twin: Values, challenges and enablers from a modeling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
Rediscovering the use of chatbots in education: A systematic literature review
Chatbots have been around for years and have been used in many areas such as medicine
or commerce. Our focus is on the development and current uses of chatbots in the field of …
or commerce. Our focus is on the development and current uses of chatbots in the field of …
Service chatbots: A systematic review
Chatbots or Conversational agents are the next significant technological leap in the field of
conversational services, that is, enabling a device to communicate with a user upon …
conversational services, that is, enabling a device to communicate with a user upon …
Parametric study on reinforcement learning optimized energy management strategy for a hybrid electric vehicle
An efficient energy split among different source of energy has been a challenge for existing
hybrid electric vehicle (HEV) supervisory control system. It requires an optimized energy use …
hybrid electric vehicle (HEV) supervisory control system. It requires an optimized energy use …
A systematic study on reinforcement learning based applications
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
The impact of artificial intelligence on branding: a bibliometric analysis (1982-2019)
Understanding the growth paths of artificial intelligence (AI) and its impact on branding is
extremely pertinent of technology-driven marketing. This explorative research covers a …
extremely pertinent of technology-driven marketing. This explorative research covers a …
Ensemble reinforcement learning: A survey
Reinforcement Learning (RL) has emerged as a highly effective technique for addressing
various scientific and applied problems. Despite its success, certain complex tasks remain …
various scientific and applied problems. Despite its success, certain complex tasks remain …