Search Results - data distribution ((((graph algorithm) OR (bat algorithm))) OR (based algorithm))

An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms by Ullah, Arif

“…Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. …”
Get full text
Get full text
Get full text
Get full text

A novel state space reduction algorithm for team formation in social networks by Rehman, Muhammad Zubair, Kamal Zuhairi, Zamli, Almutairi, Mubarak, Chiroma, Haruna, Aamir, Muhammad, Kader, Md. Abdul, Nazri, Mohd. Nawi

“…Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. …”
Get full text
Get full text
Get full text

Towards enhancing power system protection in distribution systems with distributed generation: a graph theory-based systematic relay placement approach by Ahmad Razani Haron, Ngu, Mee Chung, Pungut Ibrahim, Megat Muhammad Ikhsan Megat Hasnan, Nur Aqilah Mohamad, Chai, Chang Yii, Herwansyah Lago, Markus Diantoro

“…The algorithm is implemented in MATLAB, utilizing data from Dig Silent power Factory. …”
Get full text
Get full text
Get full text
Get full text

Graph theory-based radial load flow analysis to solve the dynamic network reconfiguration problem by Aman, M.M., Jasmon, G.B., Bakar, Ab Halim Abu, Mokhlis, Hazlie, Naidu, K.

“…RLF methods are based on sweep-based mechanism and require that the line data must be arranged in accordance with network topology. …”
Get full text
Get full text

Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum A., Malik A.S., Saad N.M., bin Abdullah M.F., Iqbal M., Rasheed W., Bin Ab Abdullah A.R., Hj Jaafar M.Y.

Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum, A., Malik, A.S., Saad, N.M., bin Abdullah, M.F., Iqbal, M., Rasheed, W., Bin Ab Abdullah, A.R., Hj Jaafar, M.Y.

“…The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. The proposed algorithm was based on a graph-cut (GC) algorithm that measured the disparity map. …”
Get full text
Get full text

Nano-scale VLSI clock routing module based on useful-skew tree algorithm by Eik Wee, Chew, Heng Sun, Ch'ng, Shaikh-Husin, Nasir, Hani, Mohamed Khalil

“…We implemented Useful-Skew Tree (UST) algorithm which is based on the deferred-merge embedding (DME) paradigm, as the clock layout synthesis engine. …”
Get full text
Get full text

Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

“…The proposed algorithms were also validated using the multidate data. …”
Get full text
Get full text

A Study of Visual Attention in Diagnosing Cerebellar Tumours by Kuryati, Kipli, Kasumawati, Lias, Dayang Azra, Awang Mat, Othman, A.K., Ade Syaheda Wani, Marzuki, Zamhari, N.

“…This paper presents a study on; i) the performance of people measurements, ii) accurateness of people measurement of the peaks that correspond to chemical quantities from the Magnetic Resonance Spectroscopy (MRS) graphs and iii) affects of people measurements to the algorithm-based diagnosis. …”
Get full text
Get full text

Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique by Nahla Mohammedelzein, Elawad Babiker

Get full text
Get full text

Adaptive and optimized radio resource allocation algorithms for OFDMA based networks by Saadat, Md. Nazmus

“…AORAA contains an adaptive and optimized subcarrier allocation algorithm which uses graph theoretic techniques to do the best probable matching of subcarrier and users’ channel information. …”
Get full text
Get full text

Random sampling method of large-scale graph data classification by Rashed Mustafa, Mohammad Sultan Mahmud, Mahir Shadid

“…After that, we randomly select a subset of data blocks, each being a random sample of the graph dataset, and compute the different graph property distributions. …”
Get full text
Get full text
Get full text

Keyword query processing interface model of ontological natural language manipulation by Hasany, Syed Muhammad Noman

“…We preprocessed the RDF graph to be stored in distributed manner after the elimination of single chain productions in order to increase the efficiency in conversion process. …”
Get full text
Get full text

A Divide-and-Distribute Approach to Single-Cycle Learning HGN Network for Pattern Recognition by Muhamad Amin , Anang Hudaya, Khan, Asad I.

“…Distributed Hierarchical Graph Neuron (DHGN) is a single-cycle learning distributed pattern recognition algorithm, which reduces the computational complexity of existing pattern recognition algorithms by distributing the recognition process into smaller clusters. …”
Get full text
Get full text

Mixture model of the Exponential, Gamma and Weibull distributions to analyse heterogeneous survival data by Mohammed, Yusuf Abbakar, Yatim, Bidin, Ismail, Suzilah

“…Aims: In this study a survival mixture model of three components is considered to analyse survival data of heterogeneous nature.The survival mixture model is of the Exponential, Gamma and Weibull distributions.Methodology: The proposed model was investigated and the Maximum Likelihood (ML) estimators of the parameters of the model were evaluated by the application of the Expectation Maximization Algorithm (EM).Graphs, log likelihood (LL) and the Akaike Information Criterion (AIC) were used to compare the proposed model with the pure classical parametric survival models corresponding to each component using real survival data.The model was compared with the survival mixture models corresponding to each component.Results: The graphs, LL and AIC values showed that the proposed model fits the real data better than the pure classical survival models corresponding to each component.Also the proposed model fits the real data better than the survival mixture models corresponding to each component. …”
Get full text
Get full text
Get full text

Computerised Faculty Course Timetabling with Student Sectioning by Bong, Chia Lih

“…A two-stage heuristic method is proposed to solve the faculty course timetabJing problem by student-based. Data pre-processing algorithm was carried out to predict course registration based on students' curriculum course plan and previous examination result. …”
Get full text
Get full text
Get full text
Get full text

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

“…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
Get full text
Get full text

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

“…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
Get full text
Get full text

Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification by Mazlan, Nurul Atikah

Get full text
Get full text

Distributed Join Query Processing for Big RDF Data by Elzein, Nahla Mohammed, Mazlina, Abdul Majid, Fakherldin, Mohammed, Hashem, Ibrahim Abaker Targio

“…In this paper, we provide comprehensive discussion about the proposed algorithms of Join.Query processing of RDF data by considering MapReduce Framework in a distributed environment. …”
Get full text
Get full text
Get full text