Search Results - (( enable active learning algorithm ) OR ( java adaptation optimization algorithm ))

Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Visualization Tool for Pathfinding Algorithms by Mathias Sam, Francis

“…By incorporating interactive features and step-by-step animations of popular pathfinding algorithms, the tool empowers students to actively engage in the learning process and experiment with different algorithmic approaches. …”
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The effect of adaptive parameters on the performance of back propagation by Abdul Hamid, Norhamreeza

“…The results show that the proposed algorithm extensively improves the learning process of conventional Back Propagation algorithm.…”
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Deep learning for multi-resident activity recognition in ambient sensing smart homes by Natani, Anubhav, Sharma, Abhishek, Perumal, Thinagaran, Suman, Sukhavasi

“…Machine learning has been a great tool for the prediction of human activities. …”
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A student learning style auto-detection model in a learning management system by Rashid, Amirah, Raja Ikram, Raja Rina, Thamilarasan, Yarshini, Salahuddin, Lizawati, Abd Yusof, Noor Fazilla, Rashid, Zakiah

“…Learning style plays an important role in enabling students to have an efficient learning process. …”
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Transfer Learning for Lung Nodules Classification with CNN and Random Forest by Abdulrazak, Saleh, Chee, Ka Chin, Ros Ameera, Rosdi

“…This research demonstrates the potential of using machine learning algorithms in the healthcare industry, especially in disease detection and classification.…”
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Transfer Learning for Lung Nodules Classification with CNN and Random Forest by Abdulrazak Yahya, Saleh, Chee, Ka Chin, Ros Ameera, Rosdi

“…This research demonstrates the potential of using machine learning algorithms in the healthcare industry, especially in disease detection and classification.…”
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Suspicious activities detection for anti-money laundering using machine learning techniques by Lim, Aun Chir

“…This enables machine learning model to detect those suspicious activities more accurately than traditional approaches. …”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

“…They are obviously lower than those of other algorithms. ST-GCN action detection algorithm based on deep learning and artificial intelligence technology can significantly improve the accuracy of action recognition in junior middle school students’ sports activities, and provide an immediate and accurate feedback mechanism for physical education teaching. …”
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Deep learning enabled fall detection exploiting gait analysis by Anwary, Arif Reza, Rahman, Md Arafatur, Abu Jafar, Md Muzahid, Ul Ashraf, Akanda Wahid, Patwary, Mohammad Nuruzzaman, Hussain, Amir

“…To address such issue, we present a Deep Learning enabled Fall Detection (DLFD) method exploiting Gait Analysis. …”
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Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

“…Machine learning algorithms can analyze fMRI data and identify biomarkers indicative of ADHD, enabling accurate classification. …”
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A high-performance neural network algorithm using a Legendre ensemble-based extreme learning machine for solving fractional partial differential equations by Isah, Ibrahim Onimisi, Senu, Norazak, Ahmadian, Ali

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Mobile robot path planning using q-learning with guided Distance by Ee, Soong Low, Pauline, Ong, Cheng, Yee Low

“…In path planning for mobile robot, classical Q-learning algorithm requires high iteration counts and longer time taken to achieve conver-gence. …”
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Neural Network – A Black Box Model by Kuok, Kuok King, Chan, Chiu Po, Md. Rezaur, Rahman, Khairul Anwar, Mohamad Said, Chin Mei, Yun

“…Three learning paradigms of ANN include supervised, unsupervised, and reinforcement learning. …”
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Deep learning approaches, platforms, datasets for behavior based recognition: a survey by Mohamme Jeddah, Yunusa, Hassan Abdalla Hashim, Aisha, Khalifa, Othman Omran

“…We attempt to classify current research work to report the ongoing trends in human behavior recognition using deep learning algorithms. This paper reviews various aspects, like the ones associated with machine learning and deep learning models, human activity recognition (HAR), deep learning frameworks/tools, abnormal behavior datasets, and a variety of other current trends in the field of automatic learning. …”
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

“…The knowledge will be stored, used, referred, postulated and reasoned with. Those activities define learning in its own specific domain and context. …”
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Generation of synthetic 5G network dataset using Generative Adversarial Network (GAN) by Azman, Muhammad Amin, Abu-samah, Asma, Khatiman, Muhammad Nur Aqmal, Nordin, Rosdiadee, Abdullah, Nor Fadzilah

“…Starting from 3GPP Release-18, Artificial Intelligent (AI) and Machine Learning (ML) are identified as enabler towards intelligent network in 5G and beyond. …”
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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Wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning by Hamza, Manar Ahmed, Hassan Abdalla Hashim, Aisha, Alsolai, Hadeel, Gaddah, Abdulbaset, Othman, Mahmoud, Yaseen, Ishfaq, Rizwanullah, Mohammed, Zamani, Abu Sarwar

“…In this aspect, this study develops a new wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning (WSHMSQP-ODL) model. The presented WSHMSQP-ODL technique initially enables the wearables to gather sleep-activity-related data. …”
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Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection by Ahmed Khan, Fazeel, Abubakar, Adamu

“…The data was gathered using real-time packet capturing tools which were then processed and moved with model development using different deep learning algorithms such as, LSTM, MLP, RNN and Autoencoders. …”
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