Search Results - (( developing learning di algorithm ) OR ( java optimization path algorithm ))

Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

“…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

“…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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The Development And Evaluation Of Personalized Learning Material Based On A Profiling Algorithm For Polytechnic Students In Learning Algebra by Mohamed Mokmin, Nur Azlina

“…Thus, the aim of this study was to design and develop an application that utilized Intelligent Tutoring System (ITS) technology for the personalization of mathematics learning. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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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

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MENGKAJI TAHAP KESEDARAN METAKOGNISI PELAJAR TAHUN SATU SAINS KOGNITIF DI UNIMAS by SITI NORAINI, LABU

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Polynomial neural network for solving Caputo-conformable fractional Volterra–Fredholm integro-differential equation with three-point non-local boundary conditions by Alsa’di, Kawthar, Nik Long, Nik Mohd Asri, Senu, Norazak, Eshkuvatov, Z.K.

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An Enhanced Wavelet Neural Network Model For Epileptic Seizure Detection And Prediction by Lai , Kee Huong

“…Speci�cally, the harmony search (HS) algorithm is employed and incorporated in the learning of WNNs. …”
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Bayesian Network Classifiers for Damage Detection in Engineering Material by Mohamed Addin, Addin Osman

“…The second set is a vibration data from a type of ball bearing operating under di®erent ¯ve fault conditions. The Bayesian net- work classi¯ers and the proposed algorithm have been tested using the second set. …”
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What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer by Abdullah Sani, Nur Zania Azurin, Mohamed Thaheer, Ahmad Shazeer

“…Midjourney AI is a type of AI technology that uses machine learning algorithms to generate high-quality images and videos from textual descriptions. …”
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Distance measure and its application to decision making, medical diagnosis, and pattern recognition problems under complex picture fuzzy sets by Khan Z., Hussain F., Rahim T., Jan R., Boulaaras S.

“…Finally, we developed an algorithm using complex picture fuzzy environments and applied it to a practical application concerning decision making, medical diagnosis, and pattern recognition problems. ? …”

Near-infrared spectroscopy modeling of combustion characteristics in chip and ground biomass from fast-growing trees and agricultural residue by Shrestha, Bijendra, Posom, Jetsada, Pornchaloempong, Pimpen, Sirisomboon, Panmanas, Shrestha, Bim Prasad, Ariffin, Hidayah

“…However, including more representative samples and exploring a more suitable machine learning algorithm are essential for updating the model to achieve a better nondestructive assessment of biomass combustion behavior.…”
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Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education by Muhammad Noorazizi Abd Ghani, Istas Fahrurrazi Nusyirwan

Three-dimensional structure of Human Epididymis Protein 4 (HE4): a protein modelling of an ovarian cancer biomarker through in silico approach by Abdul Rashid, Nur Nadiah, Mohd Nasir, Mohd Hamzah, Hamzah, Nurasyikin, Ismail, Che Muhammad Khairul Hisyam, Nor Hishamuddin, Siti Aishah Sufira, Mohamed Suffian, Izzat Fahimuddin, Abdul Hamid, Azzmer Azzar

“…These three servers em-ployed deep learning algorithms, threading templates, and de novomethods, respec-tively. …”
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Penggunaan penggugusan subtraktif bagi menjana peraturan kabur by Priyono, Agus, Ridwan, Purnomo, Alias, Ahmad Jais, Rahmat, Riza Atiq, Hassan, Azmi, Mohd Ali, Mohd Alaudin

“…(Many methodologies to develop fuzzy logic rules have been previously studied. …”
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Machine learning-based reflection coefficient and impedance prediction for a meandered slot patch antenna by Al Gburi, Ahmed Jamal Abdullah, Gupta, Anupma, Kumar, Vipan, Garg, Dinesh Kumar

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