Search Results - (( knowledge generation visualization algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
Get full text
Get full text
Get full text

Translating medical image to radiological report: Adaptive multilevel multi-attention approach by Gajbhiye, G.O., Nandedkar, A.V., Faye, I.

“…The proposed model is emphasized on multi-level visual-textual knowledge with adaptive attention mechanism to balance visual and linguistic information for the generation of admissible radiology report. …”
Get full text
Get full text

Tag cloud algorithm with the inclusion of personality traits by Supli, Ahmad Affandi, Shiratuddin, Norshuhada, Ab. Aziz, Azizi

“…Since there is no study has tried to create an algorithm that can customize tag cloud visual properties based on personality traits. …”
Get full text
Get full text
Get full text

SLAMM: Visual monocular SLAM with continuous mapping using multiple maps by Daoud, Hayyan Afeef, Sabri, Aznul Qalid Md, Loo, Chu Kiong, Mansoor, Ali Mohammed

“…Similarly, maps generated from multiple robots are merged without prior knowledge of their relative poses; which makes this algorithm flexible. …”
Get full text
Get full text

Improving the evaluation performance of space-time trellis code through visualisation by Harun, Harlisya, Ungku Chulan, Ungku Azmi Iskandar, Khazani, Khamizon

Get full text
Get full text

Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
Get full text
Get full text

DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH by LUONG, TRUNG TUAN

“…Knowledge Discovery in Database and Data Mining use techniques derived from machine learning, visualization and statistics to investigate real world data. …”
Get full text
Get full text

Determining number of clusters using firefly algorithm with cluster merging for text clustering by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

Get full text
Get full text

Unapparent information revelation for counterterrorism: Visualizing associations using a hybrid graph-based approach by Zamin, Norshuhani, Oxley, Alan

Get full text
Get full text
Get full text

The development of level of detail (LOD) technique in 3D computer graphics application by Ismail, Nor Anita Fairos, Daman, Daut, Mohd. Rahim, Mohd. Shafry

“…The finer the octree, the finer will be the mesh being generated. Overall, the proposed algorithm is capable in simplifying large viii datasets with pleasant quality and relatively fast. …”
Get full text
Get full text

IoT flood monitoring system by Vajathan, Vimalan Pillai, Dhinagaran, Sachinn, Thivianathan, Timothy Nathan, Tamilamuthan, Shaarveen, Govindasamy, Sanjay

Get full text
Get full text
Get full text

Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman by Sulaiman, Mohd Suffian

“…This semantic technology is chosen due to the ability to mine, interpret and organise the knowledge. Ontology can be seen as a knowledge base that can be used to improve the image retrieval process with the aim of reducing the semantic gap between visual features and high-level semantics. …”
Get full text
Get full text

Blind motion image deblurring using canny edge detector with generative adversarial networks / Idriss Moussa Idriss by Idriss Moussa , Idriss

“…This study proposes a combination approach of Canny edge detector with generative adversarial networks (GANs) to reconstruct the blurry image with edge-preserving without prior knowledge of the blurred image. …”
Get full text
Get full text
Get full text

An enhanced sequential exception technique for semantic-based text anomaly detection by Taiye, Mohammed Ahmed

“…Practically, this study contributes to topic modelling and concept coherence for the purpose of visualizing information, knowledge sharing and optimized decision making.…”
Get full text
Get full text
Get full text

Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster–Shafer theory by Saeidi, Vahideh, Pradhan, Biswajeet, Idrees, Mohammed Oludare, Abd Latif, Zulkiflee

“…Second, we generated a surface slope from LiDAR and fused it with NDVI. …”
Get full text
Get full text

Security alert framework using dynamic tweet-based features for phishing detection on twitter by Liew, Seow Wooi

“…The best phishing classification features and machine learning technique are identified in order to produce and generate a classification model. This model is then embedded into the detection algorithm together with the inclusion of dynamic tweet-based features which are not as part of the features used to train a classification model for phishing tweet detection. …”
Get full text
Get full text

Measuring Enterprise Architecture / Siti Fatimah Azzahra Ibrahim by Ibrahim, Siti Fatimah Azzahra

Get full text
Get full text

Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization by Nader Ibrahim Namazi, Sameer Alshehri, Rawan Bafail, Bader Huwaimel, Amal M. Alsubaiyel, Ali H. Alamri, Ahmed D. Alatawi, Hossam Kotb, Mohd Sani Sarjadi, Md. Lutfor Rahman, Mohammed A.S. Abourehab

“…One of the two input features is P (bar) and the other is T (k). ADA-DT (Adaboost Algorithm Decision Tree), ADA-LR (Adaboost Algorithm-Linear Regresion), and ADA-GRNN (Generative Regression Neural Network) models showed MAE of 6.54 ˣ 10ˉ⁵, 4.66 10 ˉ⁵, and 8.35 10 ˉ⁵, respectively. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

“…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. The learning system was trained on several tasks using simulations or real time learning in order to verify whether flexible recognition could emerge through this context-based word recognition learning.There are two types of problem tasks in this thesis. …”
Get full text
Get full text

Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

“…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. The learning system was trained on several tasks using simulations or real time learning in order to verify whether flexible recognition could emerge through this context-based word recognition learning. …”
Get full text
Get full text