Search Results - (( java implementation path algorithm ) OR ( data classification graph algorithm ))

Random sampling method of large-scale graph data classification by Rashed Mustafa, Mohammad Sultan Mahmud, Mahir Shadid

“…Finally, we classified the graphs of data blocks using the SVM algorithm. In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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An improved directed random walk framework for cancer classification using gene expression data by Seah, Choon Sen

“…In this study, six gene expression datasets are applied to study the effectiveness of the sub-algorithm, directed graph and classifier in SDW in terms of cancer prediction and cancer classification. …”
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times by Deelertmongkolchai, Satjayod, Chumwatana, Todsanai, Thaiupathump, Choonhapong

“…However, they are suffering from the long hours in traffic jam especially in rush hour.They also cannot avoid this such jam as bus routes are fixed by Bangkok Mass Transit Authority (BMTA).This paper aims to propose a technique for finding an Optimal Bus Route in Time-Dependent Travel Times by using graph algorithm and data mining technique. The proposed technique is able to find a least spent travel time path between two nodes in a bus network with time-dependence.Graph algorithm is used to generate all possible paths to reveal the distances.Classification technique is then used to analysis traffic situation in different period of the time.By analysis traffic situation, date, time, week, month, location are used as a main factor for training process in classification technique.From the experimental studies, the proposed technique is able to show the best route from any given node to the final destination depending on the different period of the time.The proposed technique provides significant benefit for traveler to select the best bus route, which is short distance and fast, among generated routes…”
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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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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

“…The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions by Iqbal, Fatema-tuz-Zohra, Sidek, Khairul Azami, Noah, Nor Afifah, Gunawan, Teddy Surya

“…Subjects were recognized with Multilayer Perceptron classification algorithm. Results were obtained through two approaches. …”
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum A., Malik A.S., Saad N.M., bin Abdullah M.F., Iqbal M., Rasheed W., Bin Ab Abdullah A.R., Hj Jaafar M.Y.

Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS by Mohd Azam, Siti Nurfarah Ain, Zohra, Fatema-tuz, Sidek, Khairul Azami, Smolen, Magdalena

“…Next, a Cardioid graph is generated. In order to verify the matching process, the classification is performed by using the Multilayer Perceptron (MLP) technique. …”
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Improving Classification Accuracy of Scikit-learn Classifiers with Discrete Fuzzy Interval Values by Hishamuddin, M.N.F., Hassan, M.F., Tran, D.C., Mokhtar, A.A.

“…In ML, different classifiers have different performance and this depends on factor such as type of data used as input for the classification phase. …”
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Flexible attribute classification for MDS points / Raihana Kamsiran by Kamsiran, Raihana

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Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification by Mazlan, Nurul Atikah

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Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks by Khalisha, Ariyani, Silvia, Ratna, M., Muflih, Haldi, Budiman, Noor, Azijah, M.Rezqy, Noor Ridha

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Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

“…The first is iPACT, an improved recommendation system based on PACT methodology to demonstrate the prediction accuracy of the proposed enhanced classification algorithm in this research. The prediction accuracy was evaluated against two previous recommendation systems PACT and HyperGraph. …”
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum, A., Malik, A.S., Saad, N.M., bin Abdullah, M.F., Iqbal, M., Rasheed, W., Bin Ab Abdullah, A.R., Hj Jaafar, M.Y.

“…The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. The proposed algorithm was based on a graph-cut (GC) algorithm that measured the disparity map. …”
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Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

Epileptic seizure detection from electroencephalogram (EEG) signals using linear graph convolutional network and DenseNet based hybrid framework by Jibon, Ferdaus Anam, Miraz, Mahadi Hasan, Khandaker, Mayeen Uddin *, Rashdan, Mostafa, Salman, Mohammad, Tasbir, Alif, Nishar, Nazibul Hasan, Siddiqui, Fazlul Hasan

“…The concentration on grid-like data has been a significant drawback of existing deep learning-based automatic epileptic seizure detection algorithms from raw EEG signals; nevertheless, physiological recordings frequently have irregular and unordered structures, making it challenging to think of them as a matrix. …”
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Collective interaction filtering with graph-based descriptors for crowd behaviour analysis by Wong, Pei Voon

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