Search Results - (( java implication based algorithm ) OR ( affecting interactive learning algorithm ))

Autism Spectrum Disorder Classification Using Deep Learning by Abdulrazak Yahya, Saleh, Lim Huey, Chern

“…Recently, deep learning methods have significantly sharpened the cutting edge of learning algorithms in a wide range of artificial intelligence tasks. …”
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How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm? by Kok Luong, Goh, Soo See, Chai, Muzaffar, Hamzah, Emily Sing, Kiang Siew

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The design for antrophomorphic sociable agent interaction through emotion detection by Ab. Aziz, Azizi, Siraj, Fadzilah, Sainin, Mohd Shamrie, Mohd Hassin, Mohd Hafiz

“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
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Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

“…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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FAILURE PREDICTION OF ENGINEERING PROBLEMS USING INTERACTIVE COMPUTING NOTEBOOK ENVIRONMENT by FLORINA LING, CASTELO

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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Learning analytic framework for students’ academic performance and critical learning pathways by Lyn, Jessica Tan Yen, Goh, Yong Kheng, Lai, An Chow, Ngeow, Yoke Meng

“…By providing a holistic perspective of student performance and course interactions, the proposed learning analytics framework holds great promise for educational institutions seeking data-driven strategies to enhance student outcomes and optimize learning experiences.…”
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Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations by Kania, Dina, Yunus, Robiah, Omar, Rozita, Abdul Rashid, Suraya, Mohamed Jan, Badrul, Aulia, Akmal

“…Using the Random Forests machine learning algorithm software, the non-ionic surfactant adsorption on organoclays was found to be affected mainly by the hydrophobicity and molecular shape of hydrophobic chains of non-ionic surfactants. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Mean of correlation method for optimization of affective states detection in children by Rusli, Nazreen, Sidek, Shahrul Na'im, Md Yusuf, Hazlina, Ishak, Nor Izzati

“…The cues from the first order statistics are computed in the identified blood flow region and concatenated along with second order statistics cues, in order to construct feature vectors to administer the vital and distinguishable characteristic pattern between affective states in thermal images. Result from the fine k-NN classifier obtained promises the efficacy of the proposed approach to be applied in our future work in human–robot interaction for autistic children learning and training.…”
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A COMPARATIVE STUDY OF MACHINE LEARNING MODELS FOR PREDICTION OF AUTISM SPECTRUM DISORDER USING SCREENING DATA by Yeap, Ming Yue

“…Autism spectrum disorder (ASD) is a neurological and developmental disorder that affects how people interact with others, communicate, learn, and behave. …”
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Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning by Priya Sri, E.K., Savita, K.S., Zaffar, M.

“…Therefore, the research entails on how the problem statement of this project on developing an algorithm that can predict text- based depression symptoms using deep learning and Natural Language Processing (NLP) can be achieved. …”
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A comparative analysis of machine learning techniques for cyberbullying detection on twitter by Muneer, A., Fati, S.M.

“…One of these issues is cyberbullying, which is a critical global issue that affects both individual victims and societies. Many attempts have been introduced in the literature to intervene in, prevent, or mitigate cyberbullying; however, because these attempts rely on the victimsâ�� interactions, they are not practical. …”
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Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD) by Gilani Mohamed, Mohamed Ahmed

“…The algorithm will be applied once the ROI has been specified. …”
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Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama by Naoki, Masuyama

“…In regards to the functional improvements, the emotion affected association model is developed in an interactive robot system based on the relationship between memory and emotion from the viewpoint of psychology and neuroscience, which is called the mood-congruency effect. …”
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Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach by Waidah Ismail, Ismail Ahmed Al-Qasem Al-Hadi, Crina Grosan, Rimuljo Hendradi

Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks by Muhammad Ashraq, Salahuddin

“…In training and testing phases, experiments were carried out to observe the classification performance of Neural Networks with duplication of difficult pattern to learn (referred to as DOUBLE) as this could possibly explain as to why some flower images were difficult to learn by classifiers. …”
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Evolutionary-based feature construction with substitution for data summarization using DARA by Sia, Florence, Alfred, Rayner

“…This is performed in order to exploit all possible interactions among attributes which involves an application of genetic algorithm to find a relevant set of features. …”
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Multi resident complex activity recognition in smart home: a literature review by Mohamed, Raihani, Perumal, Thinagaran, Sulaiman, Md. Nasir, Mustapha, Norwati

“…We highlighted the multi resident activity recognition including concurrent, interleave and cooperative interaction activity. We present methods behind the main stream of multi resident activity recognition models and algorithms that deploys machine learning as the core subject. …”
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