Transfer adaptation learning: A decade survey
The world we see is ever-changing and it always changes with people, things, and the
environment. Domain is referred to as the state of the world at a certain moment. A research …
environment. Domain is referred to as the state of the world at a certain moment. A research …
A roadmap towards energy‐efficient data fusion methods in the Internet of Things
B Pourghebleh, N Hekmati… - Concurrency and …, 2022 - Wiley Online Library
Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …
Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review
Energy efficiency is an important concern that the scientific community and society will have
to deal with in the coming years. Power-efficient structures and effective energy resource …
to deal with in the coming years. Power-efficient structures and effective energy resource …
Constrained multiobjective optimization via multitasking and knowledge transfer
Solving constrained multiobjective optimization problems (CMOPs) with various features
and challenges via evolutionary algorithms is very popular. Existing methods usually adopt …
and challenges via evolutionary algorithms is very popular. Existing methods usually adopt …
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
The robustness of landslide prediction models has become a major focus of researchers
worldwide. We developed two novel hybrid predictive models that combine the self …
worldwide. We developed two novel hybrid predictive models that combine the self …
Feature selection and training multilayer perceptron neural networks using grasshopper optimization algorithm for design optimal classifier of big data sonar
The complexity and high dimensions of big data sonar, as well as the unavoidable presence
of unwanted signals such as noise, clutter, and reverberation in the environment of sonar …
of unwanted signals such as noise, clutter, and reverberation in the environment of sonar …
Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach
C Wang - Information Processing & Management, 2022 - Elsevier
Abstract Nowadays, Artificial Intelligence (AI) based modeling is the major consideration to
build efficient, automated, and smart systems for our today's needs. Many companies are …
build efficient, automated, and smart systems for our today's needs. Many companies are …
RETRACTED ARTICLE: Evaluating and forecasting the risks of small to medium-sized enterprises in the supply chain finance market using blockchain technology and …
C Dang, F Wang, Z Yang, H Zhang, Y Qian - Operations Management …, 2022 - Springer
The present work applies deep learning and blockchain technology to evaluate and control
the risk of the supply chain finance market, to cope with the diversifications of the financial …
the risk of the supply chain finance market, to cope with the diversifications of the financial …
Optimization of constraint engineering problems using robust universal learning chimp optimization
Due to the challenging constraint search space of real-world engineering problems, a
variation of the Chimp Optimization Algorithm (ChOA) called the Universal Learning Chimp …
variation of the Chimp Optimization Algorithm (ChOA) called the Universal Learning Chimp …
Niching chimp optimization for constraint multimodal engineering optimization problems
Two significant concerns need to be addressed to handle multimodal problems: classifying
various local/global optima and preserving these optimum values until the termination …
various local/global optima and preserving these optimum values until the termination …