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An automated strabismus classification using machine learning algorithm for binocular vision management system by Rohismadi, Muhammad Amirul Isyraf, Mat Raffei, Anis Farihan, Zulkifli, Nor Saradatul Akmar, Ithnin, Mohd. Hafidz, Othman, Shah Farez

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Deploying blockchains to simplify AI algorithm auditing by Butt, Ayesha, Zahid Junejo, Aisha, Ghulamani, Sumbul, Mahdi, Ghulam, Shah, Asadullah, Khan, Dodo

“…With increasing applications of AI algorithms, the concerns regarding its outcomes have also increased due to bias. …”
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Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

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Multi-Agent Reinforcement Learning For Swarm Robots Formation by Bujang, Christina

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An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

“…Nevertheless, some major issues need to be considered. The GD method not performed well in large scale applications and when higher learning performances are required. …”
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Software project estimation with machine learning by Zakaria, Noor Azura, Ismail, Amelia Ritahani, Yakath Ali, Afrujaan, Mohd Khalid, Nur Hidayah, Zainal Abidin, Nadzurah

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Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain by Mohammad Asif , Hossain

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Simple Screening Method of Maize Disease using Machine Learning by Chyntia Jaby, Entuni, Tengku Mohd Afendi, Zulcaffle

“…Hence, this paper present a simple and efficient machine learning method which is Fuzzy C-Means algorithm to screen leaf disease severity in maize. …”
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Motion learning using spatio-temporal neural network by Yusoff, Nooraini, Ahmad, Farzana Kabir, Jemili, Mohamad Farif

“…In such learning, it requires a target signal, in which this is not always available in some applications. …”
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A critical insight into pragmatic manifestation of diabetic retinopathy grading and detection by Sallam, Muhammad Samer, Olanrewaju, Rashidah Funke, Asnawi, Ani Liza

“…The paper also reviews an extensive summary of some works in the current research trend and future applications of the DL algorithms in medical image analysis for DR detection and grading. …”
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Condition diagnosis of bearing system using multiple classifiers of ANNs and adaptive probabilities in genetic algorithms by Wulandhari, Lili A., Wibowo, Antoni, Desa, Mohammad I.

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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation by Mustafa, Tareef Kamil, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Sulaiman, Md. Nasir

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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation by Chen, Soong Der

“…Internet has inspired the rapid development of wide range of network application such as Tele-Conferencing, Distance-Learning, Tele-Medicine etc, in which real time video delivery plays an important role. …”
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Visual codebook analysis in image understanding / Hoo Wai Lam by Hoo, Wai Lam

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Video content adaptation based on user preferences and network bandwidth / Badariyah Bakhtiar by Bakhtiar, Badariyah

“…Based on the experiment results, it is proved that the video content adaptation under e-learning environment can be achieved by the algorithms effectively.…”
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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim by Ibrahim, Mohd Faisal

“…For this to happen, applications need to have some mechanism that can estimate the network bandwidth by simply adjusting their behavior based on the collected network characteristics information. …”
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Nature-Inspired cognitive evolution to play Ms. Pac-Man by Tse, Guan Tan, Jason Teo, Patricia Anthony

“…Recent developments in nature-inspired computation have heightened the need for research into the three main areas of scientific, engineering and industrial applications. …”
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Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale by Ameenuddin Irfan, S., Fadhli, M.Z., Padmanabhan, E.

“…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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