Search Results - (( developing green normalization algorithm ) OR ( java implication based algorithm ))

Normal-boundary intersection based parametric multi-objective optimization of green sand mould system by Ganesan, T., Vasant, P., Elamvazuthi, I.

“…In this work, a novel approach that merges meta-heuristic algorithms with the Normal Boundary Intersection (NBI) method is introduced. …”
Get full text
Get full text

Software reusability in green computing / Ibraheem Y. Y. Ahmaro by Y. Y. Ahmaro, Ibraheem

“…It can be discerned that the main software reusability approaches used in the IT industry include design patterns, component-based development and application frameworks. Telecommuting is the main green computing approach while algorithmic efficiency, power management, voice over internet protocol (VOIP) and virtualization approaches are also commonly used methods. …”
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Ensemble deep learning approach for apple fruitlet detection from digital images by Yusof, Mohamad Yusnisyahmi, Ishak, Iskandar, Sidi, Fatimah

“…Agriculture commodities are commodities that have a high economic worth and the potential to be developed further. The green and red apple, in instance, is one type of fruit that has the potential to be cultivated as part of agriculture. …”
Get full text
Get full text
Get full text

Charge equalization controller algorithm for series-connected lithium-ion battery storage systems: Modeling and applications by Hannan M.A., Hoque M.M., Ker P.J., Begum R.A., Mohamed A.

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Automatic spike detection and correction for outdoor machine vision: application to tomato by Sahragard, Nasrolah, Ramli, Abdul Rahman, Marhaban, Mohammad Hamiruce, Mansor, Shattri

“…This study proposes a spike auto-detection and correction technique based on color modeling and surface reflectance to predict the color and correct the spike region apparent color on the tomato surface. This algorithm classifies tomatoes in red, orange, and green color category based on training images with accuracy of 94%. …”
Get full text
Get full text
Get full text

A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

“…The new method, named as Adaptive K-means, is developed based on clustering approach. This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
Get full text
Get full text

Surface Reflectance And Discriminant Analysis For Mapping Of Mangrove Species In Kuala Sepetang Mangrove Forest Reserve, Perak by Beh, Boon Chun

“…The first method is to develop an algorithm that was based on species’ surface reflectance to map the mangrove species by using high-resolution CropCam Unmanned Aerial Vehicle (UAV) data. …”
Get full text
Get full text

Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN) by Mohamad Hushnie, Haron, Nur Azzimah, Zamri, Khairunisa, Muthusamy

“…To address these shortcomings, a technique to classify the compressive strength grades for lightweight aggregate concrete containing POFA using a machine learning algorithm has been developed. In terms of method, concrete mixtures consisting of POFA, cement, sand, superplasticizer and water were prepared and tested to determine the compressive strength. …”
Get full text
Get full text
Get full text

Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN) by Mohamad Hushnie, Haron, Nur Azzimah, Zamri, Khairunisa, Muthusamy

“…To address these shortcomings, a technique to classify the compressive strength grades for lightweight aggregate concrete containing POFA using a machine learning algorithm has been developed. In terms of method, concrete mixtures consisting of POFA, cement, sand, superplasticizer and water were prepared and tested to determine the compressive strength. …”
Get full text
Get full text
Get full text

Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code by Badawi, Bakri

Get full text
Get full text

DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS by MUHAMMAD AMIR AFIQ, MOHAMED

“…The data is used to find the time needed by the vehicles to go through by the green light…”
Get full text
Get full text

Benthic habitat mapping and coral bleaching detection using quickbird imagery and Kd algorithm by Kabiri, Keivan

“…In this regard, the second objective of this research was to develop an approach to estimate kd in blue and green bands of QuickBird satellite image. …”
Get full text
Get full text

Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris by Mohammad Aris, Ahmad Amiruddin

“…The proposed co-simulation process is developed by coupling building energy simulation (BES) software, Energy Plus with multi-objective evolutionary programming (MOEP) algorithm which is implemented in Matlab using coupling software, BCVTB. …”
Get full text
Get full text

Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

“…Hue, Saturation, Value (HSV) color space was found to be effective for distinguishing between the trees and weeds while the index of subtraction red from green (RG) is useful for separation of soil and greenness objects in tree identification. …”
Get full text
Get full text

A Novel Hybrid Machine Learning Classifier-Based Digital Differential Protection Scheme for Intertie Zone of Large-Scale Centralized DFIG-Based Wind Farms by Rezaei N., Uddin M.N., Amin I.K., Othman M.L., Marsadek M.B., Hasan M.M.

Comparative Assessment of Improved SVM Method under Different Kernel Functions for Predicting Multi-scale Drought Index by Pande C.B., Kushwaha N.L., Orimoloye I.R., Kumar R., Abdo H.G., Tolche A.D., Elbeltagi A.