3 citations · 9 across the 8 of their papers we have counts for
9 papers
AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions
Jianxin Li, Liang Qu, Taotao Cai +13
Artificial Intelligence Generated Content (AIGC) has rapidly emerged with the capability to generate different forms of content, including text, images, videos, and other modalitie…
A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
Farshid Keivanian, Raymond Chiong, Zongwen Fan
Predicting body fat can provide medical practitioners and users with essential information for preventing and diagnosing heart diseases. Hybrid machine learning models offer better…
Impact of Business Analytics and Decision Support Systems on e-commerce in SMEs
Shah J Miah
With the advancement in the marketing channel, the use of e-commerce has increased tremendously therefore the basic objective of this study is to analyze the impact of business ana…
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States
Chayan Banerjee, Zhiyong Chen, Nasimul Noman
Actor-critic (AC) algorithms are a class of model-free deep reinforcement learning algorithms, which have proven their efficacy in diverse domains, especially in solving continuous…
Application of E-Commerce Technologies in accelerating the Success of SME Operation
Ziad Hmwd A Almtiri, Shah J Miah, Nasimul Noman
Electronic commerce (e-Commerce) technologies have been increased over the past two decades in different business sectors. In particular, the technologies of B2C operations have si…
Different Applications and Technologies of Internet of Things (IoT)
Feisal Masmali, Shah J. Miah, Nasimul Noman
Internet of things (IoT) has significantly altered the traditional lifestyle to a highly technologically advanced society. Some of the significant transformations that have been ac…
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
Chayan Banerjee, Zhiyong Chen, Nasimul Noman
Soft Actor-Critic (SAC) is an off-policy actor-critic reinforcement learning algorithm, essentially based on entropy regularization. SAC trains a policy by maximizing the trade-off…
Optimal Actor-Critic Policy with Optimized Training Datasets
Chayan Banerjee, Zhiyong Chen, Nasimul Noman +1
Actor-critic (AC) algorithms are known for their efficacy and high performance in solving reinforcement learning problems, but they also suffer from low sampling efficiency. An AC…
Temperature compensation via cooperative stability in protein degradation
Yuanyuan Peng, Yoshihiko Hasegawa, Nasimul Noman +1
Temperature compensation is a notable property of circadian oscillators that indicates the insensitivity of the oscillator system's period to temperature changes; the underlying me…