Search Results - (( java data compression algorithm ) OR ( program organization learning algorithm ))
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
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Data Hiding Techniques In Digital Images
Published 2003“…After all these studies, one of the algorithms in the masking technique is developed and implemented using JAVA program to embed message into true color image with a good quality and higher capacity. …”
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Current applications of machine learning in dentistry
Published 2022“…ML programs can improve from experience automatically, unlike traditional computer programming, where every step of the program requires a written code (Mayo & Leung, 2018). …”
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Book Chapter -
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Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner
Published 2019“…A graph coloring method were used to develop the new schedule by considering the essential and preferential conditions provided by the organization. The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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Research Reports -
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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. …”
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Energy efficient path reconstruction in wireless sensor network using iPath
Published 2019“…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. …”
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Enhancing professional development and training through AI for personalized learning: a framework to engaging learners / Zoel-Fazlee Omar ... [et al.]
Published 2024“…This paper explores the transformative potential of AI-driven personalized learning in enhancing professional development and training programs. …”
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Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
Published 2021“…The application aims to develop a machine learning program using the algorithm of Support Vector Machine or Gaussian Process Regression to successfully predict the contact angle. …”
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Conference or Workshop Item -
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Multistage quality control in manufacturing process using blockchain with machine learning technique
Published 2023“…To this goal, a variety of machine learning algorithms are being studied. Data protection and monitoring is also another concern that is a critical component of the organization. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…To dynamically control content, a Deep Q-Network (DQN)-based Reinforcement Learning (RL) engine moderates’ scenes using the cultural standards and the resilience in the viewership. …”
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Designing a New Model for Worm Response Using Security Metrics
Published 2024“…In this model, the static and dynamic analyses were conducted and the machine learning algorithms were applied to optimize the performance. …”
Proceedings Paper -
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Analysis Of Human Detection Method In Social Distancing Monitoring
Published 2022“…The proposed method for human detection in social distancing monitoring is by using a deep learning algorithm which is You Only Look Once (YOLO) version 3 with custom datasets. …”
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Undergraduates Project Papers -
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Ump Intelligent Chatbot Using Dialogflow
Published 2022“…To create such a chatbot, a machine learning algorithm is used to learn the human language that is mainly used during such conversations. …”
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Undergraduates Project Papers -
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining
Published 2023“…Via data and success analysis, schools may recognize and improve learning plans for students who fail to fulfil their needs. …”
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