Sequential algorithm of parabolic equation in solving thermal control process on printed circuit board by Alias, Norma, A. Ghaffar, Zarith Safiza, Ismail, Fatimah Sham, Mohamed Murid, Ali Hassan, Hassan, Hazrina

“…The numerical analysis is treated done in terms of time execution, computation complexity, number of iterations, accuracy and convergence rate.…”

Sequential algorithm of parabolic equation in solving thermal control process on printed circuit board by A. Ghaffar, Zarith Safiza, Alias, Norma, Ismail, Fatimah Sham, Muhamed Murid, Ali Hassan, Hassan, Hazrina

“…The numerical analysis is treated done in terms of time execution, computation complexity, number of iterations, accuracy and convergence rate…”
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Efficient 3D temperature propagation for laser glass interaction by Alias, Norma, Shahril, Rosdiana, Islam, Md. Rajibul, Satam, Noriza, Darwis, Roziha

“…AGE method is one of the iterative, convergent, stable and second order accurate with respect to space and time. …”
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Extracting features of fingertips bending by using self-organizing map by H. A., Nazrul, Wan, Khairunizam, AB, Shahriman, Abu Bakar, Juliana Aida

“…In this paper the method of Self-Organizing Maps (SOM) is introduced to analyze the human grasping activities of human fingertips bending using the low cost DataGlove called as GloveMAP.The research shows that the proposed approaches capable to utilize the effectiveness of the SOM for creating the grasping features of the bottle object.After the iterative learning of net-trained, all data of the trained network will be simulated and finally self-organized.The final result of the research study shows the fingertips features extraction were generated from the several grasping activities and verify the validity of the analy sis through simulation with human grasp data captured by a GloveMAP.…”
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JPEG2000 compatible neural network based cipher by Memon, Qurban A.

“…In this paper, an efficient encryption technique is proposed, especially for JPEG2000 compatible images.The technique uses a multilayer neural network to generate a pseudo-random sequence for transforming wavelet subbands into cipher subbands.The neural network generator takes 64 bit key as a startup seed with additional 64 bit key for initial weights and biases.At each layer, output is calculated by several iterations to increase the complexity of the pseudorandom sequence generation.In order to examine effectiveness of this approach, various tests including correlation, histogram, key space etc. are conducted on test images, and the results demonstrate the robustness of the proposed approach.…”
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Size distribution measurement of polydisperse macromolecular samples using nanoparticle tracking analysis by Kim, Ahram

“…However, for the lipid vesicles prepared in various polydispersity conditions, the iterative method resulted in a better match with DLS. …”
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Registration-based segmentation of thoracic 4D MRI and respiratory motion model for lung cancer radiotherapy. by He, Shuai.

“…As the two parameters of intensity-regions-based snake tool, namely balloon force and curvature force increase, the stopping iteration right before overshooting of the active contour raises from a minimum of 35 to a maximum of 185, which indicates an increase in level of control during the process. …”
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OPTIMASI METODE KAYZERO DALAM ANALISIS AKTIVASI NEUTRON DI REAKTOR KARTINI by , Sri Murniasih, , Drs. Roto, M.Eng, Ph.D

“…The determination of Æ� and α in this research using bare-triple monitor method and Cd-ratio method, while calculation of Æ� and α applying a simple iterative linear regression using available spreadsheets. …”

Forecasting the Cumulative COVID-19 Cases in Indonesia Using Flower Pollination Algorithm by Afiahayati, Afiahayati, Wah, Yap Bee, Hartati, Sri, Sari, Yunita, Trisna, I Nyoman Prayana, Putri, Diyah Utami Kusumaning, Musdholifah, Aina, Wardoyo, Retantyo

“…The mean absolute percentage error (MAPE) for the flower pollination algorithm model (0.38%) was much lower than that of the recurrent neural network model (5.31%) in the last iteration for long-term forecasting. Meanwhile, the MAPE for the flower pollination algorithm model (0.74%) is also lower than the recurrent neural network model (4.8%) in the last iteration for short-term forecasting of the cumulative COVID-19 cases in Indonesia. …”
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Refined bleached deodorized palm oil quality prediction using multivariate statistical process control tools by Rashid, Nor Adhihah

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Increasing the frequency of physical activity very brief advice for cancer patients. Development of an intervention using the behaviour change wheel by Webb, Justin, Foster, Jo, Poulter, E.

“…METHOD: The eight composite steps outlined by the BCW guided the intervention development process. An iterative approach was taken involving key stakeholders (n = 45), with four iterations completed in total. …”
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An investigation of structural breaks on spot and futures crude palm oil returns by Zainudin, Rozaimah, Shaharudin, Roselee Shah

“…Using the Inclan and Tioa Iterated Cumulative Sums of Squares (ICSS) algorithm procedures, we proceed to identify any structural changes in series variance. …”

A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

“…Besides, most existing approaches handle multi-view clustering by aggregating each view’s clusters or using an iterative optimization method; both are time-consuming. …”

Towards large scale unconstrained optimization by Abu Hassan, Malik

“…This method computes a Newton-type direction by truncating the conjugate Gradient method iterates (inner iterations) whenever a required accuracy is nobtained, thereby the superlinear convergence is guaranteed. …”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majid Khan bin Majahar Ali, Majid Khan bin Majahar Ali

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan

“…It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight, accompanied by the slightest iteration error, which minimizes the objective function of SRBFNN-2SAT.…”
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Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems by Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, M. Shah, Nor Shahida, A. Hamzah, Shipun, Nordin, Shahilah, Farah, Nabil

“…Simulation results demonstrate that the maximal EE was achieved using the iterative LCA based on reasonable maximum transmit power, in the case the noise power is less than the received power pilot. …”
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A guided artificial bee colony (GABC) heuristic for permutation flowshop scheduling problem (PFSP) by Sidek, Noor Azizah

“…The study experimented according to ten datasets of Taillard benchmark and divided the experiments into several categories and the experiments run every data for several iterations, and for each dataset, there are 20 replications. …”
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