Search Results - solution ((((optimization techniques) OR (computing techniques))) OR (learning techniques))

PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
Get full text
Get full text

Optimization and design of machine learning computational technique for prediction of physical separation process by Haiqing Li, Chairun Nasirin, Azher M. Abed, Dmitry Olegovich Bokov, Lakshmi Thangavelu, Haydar Abdulameer Marhoon, Md Lutfor Rahman

“…Indeed, this work indicates application of machine learning technique for a real physical system and optimization of process parameters to achieve the target. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman by Isman, Muhammad Iskandar

“…ACO algorithm is the best solution because it included the optimization technique to optimized the result based on the data criteria needs. …”
Get full text
Get full text

Malware detection through machine learning techniques by Amer, Ahmed, Abdul Aziz, Normaziah

“…We conclude that Machine Learning techniques are practical to be applied as anti-malware solutions including for Zero-day attacks.…”
Get full text
Get full text
Get full text

Review of firewall optimization techniques by Shakirah, Saidin, Mohamad Fadli, Zolkipli

“…As a result, this paper will be useful for researchers who are interested in learning more about firewall optimization techniques.…”
Get full text
Get full text
Get full text

A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
Get full text
Get full text
Get full text

Applied data mining approach in ubiquitous world of air transportation by Reza, S.M., Wah, T.Y., Lahsasna, A.

“…The results have shown that this technique is well capable of recognizing the optimal and non-optimal flight paths. …”
Get full text
Get full text

Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems by Tang, En Lai

“…This strategy was extended with “preference estimation” technique to optimize the user preference level of negotiation outcome. …”
Get full text
Get full text

Deep learning-based item classification for retail automation by Ling, Ji Xiang

“…By leveraging the Convolutional Neural Networks (CNNs) and computer vision techniques such as object detection and image segmentation. …”
Get full text
Get full text

A survey and analysis of feature selection techniques in machine learning for IoT device classification within smart buildings by Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Ab Rahman, Naqeeb Khan, Sundas, Busaeed, Raed Abdullah Abobakr, Fairooz, Towfeeq

Get full text
Get full text
Get full text
Get full text

Accelerated mine blast algorithm for ANFIS training for solving classification problems by Mohd Salleh, Mohd Najib, Hussain, Kashif

“…Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. It has outperformed Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and their variants when solving various engineering optimization problems. …”
Get full text
Get full text

Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs by Khan, Adam, Ali, Asad, Khan, Jahangir, Ullah, Fasee, Faheem, Muhammad

“…This task is commonly achieved through Machine Learning (ML) techniques, but improving model performance typically incurs significant computational costs. …”
Get full text
Get full text

Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities by Halikul, Lenando, Sanjay Charles, Albert, Mohamad, Alrfaay

“…Furthermore, the discussion addresses challenges in data dissemination and explores innovative solutions, including machine learning, AI-based strategies, edge, and fog computing, blockchain integration, and advanced 5G/6G networks. …”
Get full text
Get full text
Get full text
Get full text

Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications by Kumar, A., Ridha, S., Ilyas, S.U.

“…The solution provided by deep learning for a differential equation is in a closed analytical form which is differentiable and could be used in any subsequent computation. …”
Get full text
Get full text

IoT intrusion detection using auto-encoder and machine learning techniques by Khudhu, Ahmed Ridha, Samsudin, Khairulmizam

“…Thiscould lead to a fall in local minima problems where the optimal solution is notdetermined but instead, another near-optimal solution is identified. …”
Get full text
Get full text

Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

“…Next, a scheme based on an extended single hidden layer of FNN using a second-order optimization technique known as the Broyden–Fletcher–Goldfarb–Shanno method (ESHLFNN-BFGS) is designed to solve FDEs in the Caputo-Fabrizio sense (FDEsCF). …”
Get full text
Get full text
Get full text

Industrial datasets with ICS testbed and attack detection using machine learning techniques by Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Balla, Asaad, Tahir, Mohammad, Elsheikh, Elfatih A A, Suliman, F M

“…The deep learning (DL) techniques has been used recently for enhanced OT intrusion detection performances.…”
Get full text
Get full text
Get full text
Get full text

Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
Get full text
Get full text

Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing by Omran Alkaam, Nora, Md Sultan, Abu Bakar, Hussin, Masnida, Yatim Sharif, Khaironi

“…By optimizing task scheduling, cloud computing solutions can decrease processing times, boost efficiency, and improve overall system performance. …”
Get full text
Get full text
Get full text

Application of optimal reactive power dispatch using evolutionary computation for IEEE 30-bus test system by Mohd Noor Ridzuan Husin

“…The project objective is to reduce losses and determine the optimal size of reactive power dispatch. Technique that used to find the optimal size is the evolutionary programming (EP). …”
Get full text