RIME: A physics-based optimization
This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs
Q Wu, D Yan, M Umair - Economic Analysis and Policy, 2023 - Elsevier
Dynamic capability is an emerging topic for organizations confronting a chaotic environment.
Previous research has emphasized that organizations with low dynamic capacities boost …
Previous research has emphasized that organizations with low dynamic capacities boost …
[HTML][HTML] Perceptron: Learning, generalization, model selection, fault tolerance, and role in the deep learning era
The single-layer perceptron, introduced by Rosenblatt in 1958, is one of the earliest and
simplest neural network models. However, it is incapable of classifying linearly inseparable …
simplest neural network models. However, it is incapable of classifying linearly inseparable …
Visualizing the sustainable development goals and natural resource utilization for green economic recovery after COVID-19 pandemic
After the COVID-19 outbreak, this study examines the influence of modifications in China's
Sustainable Growth Goals (SDGs) and economic development goals on Chinese …
Sustainable Growth Goals (SDGs) and economic development goals on Chinese …
Class-aware sample reweighting optimal transport for multi-source domain adaptation
S Wang, B Wang, Z Zhang, AA Heidari, H Chen - Neurocomputing, 2023 - Elsevier
Abstract Multi-Source Domain Adaptation (MSDA) techniques have attracted widespread
attention due to their availability to transfer knowledge from multiple source domains to the …
attention due to their availability to transfer knowledge from multiple source domains to the …
[HTML][HTML] Hierarchical Harris hawks optimizer for feature selection
L Peng, Z Cai, AA Heidari, L Zhang, H Chen - Journal of Advanced …, 2023 - Elsevier
Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …
embedded methods. Because of its characteristics, the wrapper method must include a …
[HTML][HTML] Novel neural network optimized by electrostatic discharge algorithm for modification of buildings energy performance
AM Fallah, E Ghafourian, L Shahzamani Sichani… - Sustainability, 2023 - mdpi.com
Proper analysis of building energy performance requires selecting appropriate models for
handling complicated calculations. Machine learning has recently emerged as a promising …
handling complicated calculations. Machine learning has recently emerged as a promising …
Task scheduling in the internet of things: challenges, solutions, and future trends
T Bu, Z Huang, K Zhang, Y Wang, H Song, J Zhou… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) paradigm, by transforming physical devices into
innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary …
innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary …
Data security, customer trust and intention for adoption of Fintech services: an empirical analysis from commercial bank users in Pakistan
The research aims to empirically investigate the effect of perceived easiness of use (PEU),
perceive usefulness (PU), data security (DAS) on adoption intention of Fintech services …
perceive usefulness (PU), data security (DAS) on adoption intention of Fintech services …
Determination of influential nodes based on the Communities' structure to maximize influence in social networks
With the increasing development of social networks, they have turned into important
research platforms. Influence maximization is one of the most important research issues in …
research platforms. Influence maximization is one of the most important research issues in …