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of 31
pro vyhledávání: '"Mousavi, Seyed Muhammad Hossein"'
We introduced the Scorpion Hunting Strategy (SHS), a novel population-based, nature-inspired optimisation algorithm. This algorithm draws inspiration from the hunting strategy of scorpions, which identify, locate, and capture their prey using the alp
Externí odkaz:
http://arxiv.org/abs/2407.14202
Emotion recognition is the technology-driven process of identifying and categorizing human emotions from various data sources, such as facial expressions, voice patterns, body motion, and physiological signals, such as EEG. These physiological indica
Externí odkaz:
http://arxiv.org/abs/2407.09950
Feature selection could be defined as an optimization problem and solved by bio-inspired algorithms. Bees Algorithm (BA) shows decent performance in feature selection optimization tasks. On the other hand, Local Phase Quantization (LPQ) is a frequenc
Externí odkaz:
http://arxiv.org/abs/2308.01700
The book attempts to introduce a gentle introduction to the field of Facial Micro Expressions Recognition (FMER) using Color and Depth images, with the aid of MATLAB programming environment. FMER is a subset of image processing and it is a multidisci
Externí odkaz:
http://arxiv.org/abs/2307.06396
The Victoria Amazonica plant, often known as the Giant Water Lily, has the largest floating spherical leaf in the world, with a maximum leaf diameter of 3 meters. It spreads its leaves by the force of its spines and creates a large shadow underneath,
Externí odkaz:
http://arxiv.org/abs/2303.08070
Publikováno v:
In Applied Soft Computing January 2024 151
Akademický článek
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Publikováno v:
In Expert Systems With Applications 15 July 2020 150
Human face states the inner emotions, thoughts and physical disorders. These emotions are expressed on the face via facial muscles. The estimated time through which a facial expression occurs on the face is between 0.5 to 4 seconds, and a micro expre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64ee5ec647688bc754e0fc86395aff06