Modified Bat Algorithm: a newly proposed approach for solving complex and real-world problems
Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently
explore complex problem spaces and find near-optimal solutions. The algorithm is inspired …
explore complex problem spaces and find near-optimal solutions. The algorithm is inspired …
A comprehensive review and evaluation on text predictive and entertainment systems
Providing text prediction systems is an important way to facilitate communication and
interaction with the systems and machines. Although a text prediction system facilitates the …
interaction with the systems and machines. Although a text prediction system facilitates the …
Artificial intelligence algorithms for natural language processing and the semantic web ontology learning
Evolutionary clustering algorithms have considered as the most popular and widely used
evolutionary algorithms for minimising optimisation and practical problems in nearly all …
evolutionary algorithms for minimising optimisation and practical problems in nearly all …
[HTML][HTML] A MediaPipe Holistic Behavior Classification Model as a Potential Model for Predicting Aggressive Behavior in Individuals with Dementia
This paper introduces a classification model that detects and classifies argumentative
behaviors between two individuals by utilizing a machine learning application, based on the …
behaviors between two individuals by utilizing a machine learning application, based on the …
[PDF][PDF] Machine Learning Algorithms Evaluation Methods by Utilizing R
Abstract Machine Learning (ML) is a part of Artificial intelligence (AI) that designs and
produces systems, which is capable of developing and learning from experiences …
produces systems, which is capable of developing and learning from experiences …
Assessing the Polygenic Risk between Anxiety and Gut Microbiota Using Machine Learning
There is growing evidence that changes in the gut microbiome are linked to anxiety. Some
studies have evaluated the association between gut microbiota and anxiety using either two …
studies have evaluated the association between gut microbiota and anxiety using either two …
A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
COVID-19, one of the most dangerous pandemics, is currently affecting humanity. COVID-19
is spreading rapidly due to its high reliability transmissibility. Patients who test positive more …
is spreading rapidly due to its high reliability transmissibility. Patients who test positive more …
Using a Single inertial measurement unit to measure the knee flexion angle at touchdown in side cutting movements
IC Malagalage Don - 2022 - prism.ucalgary.ca
Joint angles can be an important measure in investigating sport-related injuries as well as in
rehabilitation studies. Even though previous researchers have investigated using inertial …
rehabilitation studies. Even though previous researchers have investigated using inertial …
M-IFDO: Modified-Improved Fitness Dependent Optimizer Algorithm for Complex and Engineering Problems
H Hamarashid, BA Hassan - Available at SSRN 4623654 - papers.ssrn.com
Abstract The Improved Fitness Dependent Optimizer (IFDO) emerged as an enhancement to
the Fitness Dependent Optimizer (FDO) in 2020. This paper introduces the Modified …
the Fitness Dependent Optimizer (FDO) in 2020. This paper introduces the Modified …
[PDF][PDF] Eliciting Code-modulated Visual Evoked Potentials by Non-Recognizable Presentation of Code Sequences
O Bringmann - 2021 - ecogsci.cs.uni-tuebingen.de
Recently, brain-computer interfaces (BCIs) based on visual evoked potentials (VEPs) have
gained traction as a tool to improve quality of life in motor paralysis patients through …
gained traction as a tool to improve quality of life in motor paralysis patients through …