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

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Spatial Signature Algorithm (SSA): A New Approach In Countermeasuring XML Signature Wrapping Attack by Madihah Mohd Saudi, Nurzi Juana Mohd Zaizi, Azreena Abu Bakar, Khaled Juma Ahmed Swessi

Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

“…It is followed by identifying RES sites using spatial data and Multi-Criteria Decision Making-Analytical Hierarchy Process (MCDM-AHP) algorithm. …”
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Robot manipulator minimum jerk trajectory planning based on the improved dung Beetle Optimizer Algorithm by Ma, Haohao, As’arry, Azizan, Cong, Miaomiao, Delgoshaei, Aidin, Ismail, Mohd Idris Shah, Ramli, Hafiz Rashidi, Wu, Xuping

“…This paper discusses different algorithms and finally proposes a fusion of the improved Dung Beetle Optimizer (IDBO) algorithm using chaotic mapping, sinusoidal random mutation, and nonlinear convergence strategies with the bidirectional Rapidly exploring Random Tree (RRT) algorithm to achieve manipulator trajectory planning and minimum jerk optimization trajectory. …”
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms by Tella, A., Balogun, A.-L.

“…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science by Balogun, A.-L., Tella, A., Baloo, L., Adebisi, N.

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Recognition of Cylindrical and Conical Features Using Edge Boundary Classification by Ismail, N., Abu Bakar, N., Juri, A.H.

“…The work presented in this paper proposes a new technique called Edge Boundary Classification (EBC) for feature recognition from B-rep models. The technique uses the spatial addressability information of solid models that identifies the solid and void ‘sides’ of a boundary entity. …”
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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

“…Based on the location of the lung, the liver dome is automatically detected and the liver is then extracted by random walkers method and refined using a fuzzy level set method. This is followed by the clustering of the liver tissues using particle swarm optimized spatial FCM algorithm. …”
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis by Abujayyab, Sohaib K. M.

“…The learned network was used to acquire the weights of the criteria. The optimum structure of the proposed network was selected using 600,000 use cases. …”
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Evaluating the vertical accuracy of lidar and open source dem for oil palm plantation planning and design by Alfred Michael Sikab, Wong, Wilson Vun Chiong

“…These results highlight the model’s ability to correct both systematic and spatially varying elevation errors. The framework presents a scalable and alternative to LiDAR for use in precision agriculture, flood risk modeling, and infrastructure planning. …”
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Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study by Karim, M.K.A., Khalidi, M. E., Chew, M. T., Kechik, M. M. A., Mazlan, D., Ng, K. H.

“…The slices were 5 mm thick and reconstructed using a standard reconstruction kernel, for example B80f and 170f, combined with FBP or various IR Results: The low dose group used an acquisition parameter with 100 kVp and a pitch of 0.9, while the standard dose used a pitch of 0.75. …”
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Incorporating genetic algorithm into simulated annealing based redistricting by Sim, Kwan Hua.

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Comparative analysis of sensors and classification algorithms for land cover classification in Islamabad, Pakistan by Hussain, Khadim, Badshah, Tariq, Mehmood, Kaleem, Rahman, Arif ur, Shahzad, Fahad, Anees, Shoaib Ahmad, Khan, Waseem Razzaq, Yujun, Sun

“…S2 combined with XGBoost also showed superior performance (92.89%) compared to other sensor-algorithm combinations. The study reveals that high spatial resolution (GF-6) significantly improves LULC classification, particularly in detecting forest and urban areas. …”
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Development of fuzzy rule-based parameters for urban object-oriented classification using very high resolution imagery by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

“…Object-oriented classification was performed using supervised SVM and fuzzy rule-based approach to add spatial and texture attributes to spectral information. …”
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Modeling tourism movements and sentiments using spatial analysis based on social media big data by Zhu, Chen

“…Implement natural language processing methods to analyze tourists’ emotions from text data.The methods used in this thesis include web crawler technology, spatial analysis methods and sentiment analysis. …”
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Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi by Ujang, Muhamad Uznir

“…Dijkstra's algorithm is one of the algorithms that could be used in network analysis process especially for 2D shortest route data. …”
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Google the earth: what's next? by Mansor, Shattri

“…Maps are essential at all stages of infrastructure development, resource planning and the disaster management cycle. Satellite imagery/data can be used for everything from ground truthing and change detection, to more sophisticated analyses, including feature extraction and natural hazard prediction. …”
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Land Use Changes in Jeli, Kelantan by Muhammad Firdaus Abdul Karim

“…Land use change pattern can be obtained via spatial analysis using Geographical Information System (GIS) and acquiring satellite imagery in remote sensing. …”
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