Search Results - (( variable innovation based algorithm ) OR ( java adaptation optimization algorithm ))
Search alternatives:
- adaptation optimization »
- innovation based »
- java adaptation »
- variable »
-
1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
-
3
New Algorithm of Location Model based on Robust Estimators and Smoothing Approach
Published 2017Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises
Published 2019“…Equally in the construct are innovation strategy and SMEs performance. After reviewing the available relevant literature on strategic capabilities and innovation strategy, a conceptual framework was developed based on the Resource Based View (RBV) and Dynamic Capability Theory (DCT). …”
Get full text
Get full text
Get full text
Thesis -
5
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
-
7
Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization
Published 2024“…This paper presents an innovative approach that combines deep learning (DL) with Teaching-Learning-Based Optimization (TLBO) to predict wind power output accurately. …”
Get full text
Get full text
Get full text
Article -
8
DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS
Published 2018“…Density of the traffic is calculated by the algorithm that have various variables. This project will use Arduino as it microcontroller and the ultrasonic is used to detect the congestion. …”
Get full text
Get full text
Final Year Project Report / IMRAD -
9
The employment of support vector machine to classify high and low performance archers based on bio-physiological variables
Published 2018Get full text
Get full text
Get full text
Conference or Workshop Item -
10
-
11
The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables
Published 2018Get full text
Get full text
Get full text
Conference or Workshop Item -
12
A new integrated approach for evaluating sustainable development in the electric vehicle sector
Published 2025“…Third, this study uses the classification & regression tree (CART), random forest, and eXtreme gradient boosting (XGBoost) algorithms to assist managers in identifying the key predictive variables for further classification and prediction. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
-
14
-
15
A bit-serial sum of absolute difference accelerator for variable block size motion estimation of H.264
Published 2009Get full text
Get full text
Conference or Workshop Item -
16
-
17
A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties
Published 2011“…This proposed FNSVM hybrid model benefits from the excellent performance of the least-square-based model-selection algorithm of Functional Networks and the non-linear high-dimensional feature transformation capability that is based on structural risk minimization and Tikhonov regularization properties of SVM. …”
Get full text
Get full text
Get full text
Proceeding -
18
An artificial neural network approach in service life prediction of building components in Malaysia based on local environment and building service load
Published 2007Get full text
Get full text
Conference or Workshop Item -
19
Enhancing understanding of programming concepts through physical games
Published 2017Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Controlling traffic for clean air and healthy cities with multi-fuzzy inference systems for a sustainable future
Published 2025“…To address this critical issue, this research proposes an innovative traffic control strategy using multi-fuzzy inference systems (mFIS) distributed at adjacent intersections in areas experiencing high traffic volumes. …”
Get full text
Get full text
Get full text
Article
