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Evolutionary Algorithms in Health Technologies [PDF]
Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications.
Sai Ho Ling, Hak Keung Lam
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An Analysis of Sliding Mode Speed Controller for a Differential Drive Wheel Mobile Robot
In this study, we present a systematically designed Sliding Mode Speed Controller (SMSC) tailored for motors utilized in a Differential Drive Wheel Mobile Robot (DDWMR).
Tri-Vien Vu, Anh-Minh Duc Tran
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A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks
This paper presents an energy-saving and lifetime-maximizing solution for the LoRa wireless mesh network (WMN). Energy dissipation is a crucial factor affecting the usability of the LoRa WMN.
Hoang Hai Son +10 more
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An evolutionary method for finding the optimal path connecting two settlements
The paper describes an evolutionary method and an algorithm for finding the optimal path connecting two settlements.
Yu. I. Dement'ev, R. V. Zimin
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Medical image segmentation is crucial for deep learning (DL) applications in clinical settings. Ensuring accurate segmentation is challenging due to diverse image sources and significant data sharing and privacy concerns in centralized learning setups ...
Nguyen Tan Y +5 more
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Self-adaptive variants of evolutionary algorithms (EAs) tune their parameters on the go by learning from the search history. Adaptive differential evolution with optional external archive (JADE) and self-adaptive differential evolution (SaDE) are two ...
Hassan Javed +7 more
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Evolutionary Robotics: What, Why, and Where to
Evolutionary robotics applies the selection, variation, and heredity principles of natural evolution to the design of robots with embodied intelligence. It can be considered as a subfield of robotics that aims to create more robust and adaptive robots. A
Stephane eDoncieux +6 more
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The paper presents a solution combining the sliding mode observer (SMO) with the PID controller to improve the accuracy of speedy estimation of the induction motor (IM) compared to the original sliding mode observer.
Thinh Cong Tran +2 more
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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization.
Biaobiao Zhang +3 more
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Automated Digital Filter Synthesis with Canonical Signed Digit via Genetic Algorithms
Finite Impulse Response (FIR) digital filters are widely used in signal processing to remove noise and extract frequency-domain features. Genetic Algorithms (GAs) have been employed to synthesize FIR filters by optimizing the coefficients in their ...
Deiana Simone +3 more
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