Search Results - (( intelligence based thinking algorithm ) OR ( intelligence systematic mapping algorithm ))*

Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

“…This work presents a systematic approach for capturing tacit knowledge to be used in a business intelligence framework. …”
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Potential norms detection in social agent societies by Mahmoud M.A., Mustapha A., Ahmad M.S., Ahmad A., Yusoff M.Z.M., Hamid N.H.A.

Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud M.A., Ahmad M.S., Ahmad A., Mustapha A., Yusoff M.Z.M., Hamid N.H.A.

A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks by Ismail, Azratul Ain Nadiah, Mohamad, Ahmad Nadzri

“…This led to the inclusion of 21 articles for the systematic literature review. The findings suggest that employees are concerned about system biases and unconsented data usage for algorithmic decisions in employment practices. …”
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Depression prediction using machine learning: a review by Abdul Rahimapandi, Hanis Diyana, Maskat, Ruhaila, Musa, Ramli, Ardi, Norizah

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Simulation and Design of an Intelligent Mobile Robot for Fire Fighting by Chor, Keong Seng

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Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction by Muna Elsadig, Ashraf Osman Ibrahim Elsayed, Shakila Basheer, Manal Abdullah Alohali, Sara Alshunaifi, Haya Alqahtani, Nihal Alharbi, Wamda Nagmeldin

“…Researchers in cyberspace are motivated to create intelligent models and offer secure services on the web as phishing grows more intelligent and malicious every day. …”
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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud, Moamin Ahmed, Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Mustapha, Aida, Mohd Yusoff, Mohd Zaliman, Abdul Hamid, Nurzeatul Hamimah

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Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

“…Machine Learning is a form of Artificial Intelligence that will make systems to think like human being. …”
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Improving intelligent personality prediction using Myers-Briggs type indicator and random forest classifier by Nur Haziqah, Zainal Abidin, Muhammad Akmal, Remli, Noorlin, Mohd Ali, Phon, Danakorn Nincarean Eh, Nooraini, Yusoff, Hasyiya Karimah, Adli, Busalim, Abdelsalam H.

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An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid by Mohd Zahid, Mohamad Harith

“…Artificial intelligence today is essentially a machine that can do typically any specific task before mimicry to human intelligence. …”
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph by Joseph, Corina

“…Corina delivering her speech titled "AI and SDGs: Resource-Based View Perspective." In the speech introduction, various definitions of Artificial Intelligence (AI) were provided. …”
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Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak by Dol @ Abdul Wahid, Akma Hidayu, Abdul Razak, Rafizan

“…The development of AI-based technologies has transformed the accounting profession, presenting both opportunities and challenges for professionals in this domain. …”
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Predicting Diseases Using Multi-BackPropagation by Wan Hussain, Wan Ishak

“…A Computer-based medical system plays an important role in the current practice of medicine. …”
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Agent architectures (building chatterbot) / Umi Aimah Abu Bakar by Umi Aimah , Abu Bakar

“…While MILAH, it has no neural network, no complex knowledge presentation, no fuzzy logic, no genetic algorithm and no major parsing. MILAH uses Case Based Reasoning (CBR). …”
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Handbook of Machine Learning for Computational Optimization: Applications and Case Studies by Jain, V., Juneja, S., Juneja, A., Kannan, R.

“…Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. …”
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What, how and when to use knowledge in neural network application by Wan Ishak, Wan Hussain, Abdul Rahman, Shuzlina

“…In understanding neural network one may think of three main questions: What is knowledge in neural network?…”
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Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era by Shreeja, Nair, Kritika, Banka, Ankur, Pandya

“…The results identified three predominant themes: (1) unbalanced ethical frameworks and low transparency in AI-driven hiring and performance appraisal; (2) faculty and staff apprehension due to algorithmic biases, data privacy issues, and a lack of institutional oversight; and (3) an urgent need to develop emotional intelligence, interdisciplinary thinking, and digital sensitivity among employees. …”
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