Search Results - (( java implementation cell algorithm ) OR ( using spatial matrix algorithm ))

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
Get full text
Get full text

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
Get full text
Get full text

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
Get full text
Get full text

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
Get full text
Get full text

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. …”
Get full text
Get full text

A spatial decision support system framework for optimization of cropping pattern and water resources allocation at pasargard plains, fars province, Iran by Ghasemi, Mohammad Mehdi

“…Furthermore, the Policy Analysis Matrix (PAM) was used as a module to limit the number of possible cropping decisions based on social and economic analyses. …”
Get full text
Get full text

Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan by Roslan, `Ain Safia

“…MATLAB was chosen as the primary software due to its robust capabilities in numerical computing and optimization, enabling efficient implementation and analysis of both algorithms. The study applied these optimization techniques to various Binary Integer Programming (BIP) matrix sizes (11×9, 39×24, and 172×49) representing the same 2D layouts, to evaluate their performance in different spatial configurations. …”
Get full text
Get full text

Workload performance evaluation of large spatial database for DSS based disaster management by Rohman, Muhammad Syaifur

“…Besides, the results of the evaluation using confusion matrix has resulted in excellent accuracy as well as improvement in execution time. …”
Get full text
Get full text
Get full text
Get full text

Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

“…Therefore, this paper introduced an algorithm for predicting spatial variations in pore network. …”
Get full text
Get full text

Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

“…Therefore, this paper introduced an algorithm for predicting spatial variations in pore network. …”
Get full text
Get full text

Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Ain, Mohd Fadzil, Abdul Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

“…In this paper, by exploiting the highly correlated spatial structure of the obtained array response vectors and sparsity of the multipath signal components of the massive MIMO-OFDM channels, a modified spatial basis expansion model (modified-SBEM) is introduced. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Computational approach via half-sweep and preconditioned aor for fractional diffusion by Andang Sunarto, Praveen Agarwal, Jumat Sulaiman, Jackel Vui Lung Chew

“…From the formulated half-sweep Caputo approximation to the time-fractional diffusion equation, a linear system corresponds to the equation contains a large and sparse coefficient matrix that needs to be solved efficiently. We construct a preconditioned matrix based on the first matrix and develop a preconditioned accelerated over relaxation (PAOR) algorithm to achieve a high convergence solution. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Block based low complexity iterative QR precoder structure for Massive MIMO by Mok, Li Suet

“…In this thesis, we attempt to reduce the complexity of the BD schemes by partitioning channel matrix into corresponding square matrix. We make use of QR-based BD method to precode in a lower dimension channel matrix rather than computing all of them. …”
Get full text
Get full text

Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

“…Low-complexity spectral-based estimators are used for the estimation of direction and spatial spread of the distributed source by employing the proposed channel model for simulation. …”
Get full text
Get full text

Instant Sign Language Recognition by WAR Strategy Algorithm Based Tuned Machine Learning by Abd Al-Latief S.T., Yussof S., Ahmad A., Khadim S.M., Abdulhasan R.A.

“…A novel sign language recognition system is presented in this paper with an exceptionally accurate and expeditious, which is developed upon the recently devised metaheuristic WAR Strategy optimization algorithm. Following the preprocessing, both of spatial and temporal features has been extracted using the Linear Discriminant Analysis (LDA) and Gray-level cooccurrence matrix (GLCM) methods. …”

CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case by Halbouni, Asmaa Hani, Gunawan, Teddy Surya, Habaebi, Mohamed Hadi, Halbouni, Murad, Kartiwi, Mira, Ahmad, Robiah

“…Numerous studies implemented machine learning algorithms to develop an effective IDS; however, with the advent of deep learning algorithms and artificial neural networks that can generate features automatically without human intervention, researchers began to rely on deep learning. …”
Get full text
Get full text
Get full text
Get full text

Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia by Arofi Kurniawan, Michael Saelung, Beta Novia Rizky, An’nisaa Chusida, Beshlina Fitri Widayanti Roosyanto Prakoeswa, Giselle Nefertari, Ariana Fragmin Pradue, Mieke Sylvia Margaretha, Aspalilah Alias, Anand Marya

Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
Get full text
Get full text

Statistical Approach for Image Retrieval by Khor, Siak Wang

“…The extracted statistical information will be stored in both text files and matrixes, which will be used to aid in the image retrieval process. …”
Get full text
Get full text

A new framework for geospatial site selection using artificial neural networks as decision rules: a Case study on landfill sites by Abujayyab, Sohaib K. M., Ahamad, Mohd Anusi S., Yahya, Ahmad Shukri, H. Y. Saad, Abdul Malik

Get full text
Get full text
Get full text