Search Results - (( java segmentation using algorithm ) OR ( pattern intervention study algorithm ))

Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

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The analysis of road traffic fatality pattern for Selangor, Malaysia case study by Radzuan, N. Q., Mohd Hasnun Ariff, Hassan, Abu Kassim, K. A., Ab. Rashid, A. A., Intan Suhana, Mohd Razelan, Nur Aqilah, Othman

“…The preliminary data screening shows that road traffic crash patterns and road traffic fatality patterns in Selangor have many similarities. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…A total of 384 respondents took part in the present study which is comprised of two phases: preand post-intervention. …”
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Visualizing pandemics with calendar heatmaps : a case study of COVID-19 in Malaysia by Zolkepli, Maslina, Ramlan, Isa

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Machine Learning Applications in Offense Type and Incidence Prediction by Balaji, R., Manjula Sanjay, Koti, Harprith, Kaur

“…By applying this algorithm, the study achieves a high level of precision in predicting various types of detrimental behavior, enabling a better understanding of their underlying patterns. …”
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Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

“…This study also demonstrated the practicality of the apriori algorithm in analyzing extensive datasets to extract actionable insights. …”
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Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms by Loo, C.K., Liew, W.S., Seera, M., Lim, Einly

“…To further augment the ARTMAP's pattern classification ability, multiple ARTMAPs were optimized via genetic algorithm and assembled into a classifier ensemble. …”
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Prediction of sleep pattern for university students using machine learning by Widya, Muhammad Faishal Atha, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus

“…This study aims to predict sleep patterns among university students using machine learning techniques, focusing on the classification of regular and irregular sleep behaviors. …”
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Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

“…Even though it makes use of the existing technology, this approach is often time consuming and involves manual intervention because of the mapping process. The focus of this study is to propose an enhancement on memory consumption by reducing the number of candidates generated for the existing FLEX algorithm which will reduce the amount of memory needed to execute the algorithm. …”
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Reliability fuzzy clustering algorithm for wellness of elderly people by N. J., Mohd Jamal, Ku Muhammad Naim, Ku Khalif, Mohd Sham, Mohamad

“…By gleaning insights from the data, the fuzzy clustering can learn from data, identify patterns and make decisions with minimal human intervention. …”
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The implementation of z-numbers in fuzzy clustering algorithm for wellness of chronic kidney disease patients by N. J., Mohd Jamal, Ku Muhammad Naim, Ku Khalif, Mohd Sham, Mohamad

“…By gleaning insights from the data, fuzzy clustering capable to learn from data, identify patterns and make decision with minimum human intervention. …”
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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli by Mohd Ramli, Mohamad Amirul Asyraf

“…The importance of this study lies in its potential to provide an accurate and efficient algorithm for plant health assessment, in making informed decisions. …”
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New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

“…Through real-world case studies and mathematical tests, GBO consistently outperforms alternative algorithms. …”
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Automated Nutritional Guidance for Obesity Management: Insights from Machine Learning, Naïve Bayes, Random Forest by A., Rupa, Ch. Akshaya, Reddy, E., Shravya, E., Akshaya, K., Rajasri

“…The system utilizes a combination of machine learning algorithms, nutritional databases, and user input to provide personalized dietary plans aligned with individual health goals, dietary preferences, and lifestyle patterns. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…Size was extracted using Extreme Point Detection algorithm and Hit or Miss Transformation method was used to extract the stroke formation pattern. …”
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case by Hassan, Raini, Fadzleey, Nur Zulfah Insyirah, Ab Hamid, Annesa Maisarah, Abd Aziz, Rabiatul Adawiyah, Jamalullain, Afiefah, Syaiful 'Adli, Fatin Syafiqah

“…The study employs descriptive and predictive analytics techniques to understand student performance patterns and forecast future outcomes based on family background factors. …”
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Utilizing Mobility Tracking to Identify Hotspots for Contagious Disease Spread : A Case Study of UNITEN Students Using Google Map Data by Wyin Y.M., Krishnan P.S., Phing C.C., Kiong T.S.

“…It is important to predict the future movement and pattern of the illness in order to decrease infectious instances and maximize recovered cases. …”

Comparative spatial analysis of enteric fever and leptospirosis in Kelantan, Malaysia using e-notifikasi surveillance database, 2016 – 2022 by Hatta, Hazlienor Mohd

“…Diagnostic algorithms, targeted interventions and early warning systems can be implemented based on these findings to improve disease control and prevention strategies.…”
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