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Machine learning: tasks, modern day applications and challenges by Aljuaid, Lamyaa Zaed, Koh, Tieng Wei, Sharif, Khaironi Yatim

“…Machine learning algorithms learned from available data. Further, this learning laid the foundation to develop AI for the various systems around us. …”
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Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

“…The chapter also carries out an analytical review of three main searching algorithms namely, generate and test, uninformed search, and hill climbing search algorithms. …”
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What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer by Abdullah Sani, Nur Zania Azurin, Mohamed Thaheer, Ahmad Shazeer

“…Artificial intelligence (AI) is a rapidly growing field that is transforming various industries and aspects of our lives. …”
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Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh by Saleh, Pauziah

“…The training took only few minutes on a PC for the 30000 input-output training data . For this purpose, the Lavenberg-Marquardt back propagation algorithm was used. …”
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Embodied conversational agents for H5N1 pandemic crisis by Goh, Ong Sing, Fung, Chun Che, Wong, Kok Wai, Depickere, Arnold

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Machine learning and deep learning approaches for cybersecurity: a review by Halbouni, Asmaa Hani, Gunawan, Teddy Surya, Habaebi, Mohamed Hadi, Halbouni, Murad, Kartiwi, Mira, Ahmad, Robiah

“…This paper reviewed intrusion detection systems and discussed what types of learning algorithms machine learning and deep learning are using to protect data from malicious behavior. …”
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Future Trend of Artificial Intelligence and Stock Market: A Comprehensive Bibliometric Analysis by Abdul Hayy Haziq, Mohamad, Rossazana, Ab Rahim, Norlina, Kadri

“…Artificial intelligence (AI) has revolutionized stock market research, offering innovative solutions for predictive modeling, algorithmic trading, and financial decision-making. …”
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Artificial Intelligence Applications in Healthcare by Usmani, U.A., Happonen, A., Watada, J., Khakurel, J.

“…There is already a large amount of clinical and non-clinical evidence that AI algorithms can analyze both structured and unstructured clinical data (including images) data from electronic medical records (EMRs) with the characterization and prognosis of the disease. …”
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Artificial Intelligence Applications in Healthcare by Usmani, U.A., Happonen, A., Watada, J., Khakurel, J.

“…There is already a large amount of clinical and non-clinical evidence that AI algorithms can analyze both structured and unstructured clinical data (including images) data from electronic medical records (EMRs) with the characterization and prognosis of the disease. …”
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Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

“…A possible solution is to employ an intelligent middleware that can analyze both the human-generated data and sensory generated data. …”
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Machine Learning in accounting: an introduction / Wan Mardyatul Miza Wan Tahir and Jaízah Abdul Jabar by Wan Tahir, Wan Mardyatul Miza, Abdul Jabar, Jaízah

“…Machine Learning is an application of Artificial Intelligence (AI) in which computers use algorithms to learn and recognise patterns. …”
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Digital Transformation Using Industry 4.0 and Artificial Intelligence by Keerthika M., Pragadeesh M., Santhiya M., Jebamalar G.B., Venu H.

“…Explainable artificial intelligence (XAI) conducts studies and creates tools, techniques, and algorithm designs that produce information and judgments made by AI-based systems that are comprehensible to humans. …”

A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients by Rahman, Md Saidur, Md Nor, Nor Saadah

“…The other way around, AI is a limb of Computer Science dedicated to developing systems that do what a human does intelligently. AI in healthcare has opened several breakthroughs in healthcare, especially in the management of CKD. …”
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj by Othman, Ahmad Al Baqir, Ahmad, Salmiah, Badron, Khairayu, Altalmas, Tareq M. K.

“…Results shows that the algorithm was able to detect the letters produced at throat area, which are also known as Izhar Halqi letters. …”
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Future trends in auditing: preparing for a technology-driven landscape by Muhammad Arnim, Nur Afiqah Najwa, Abd Razak, Siti Noor Azmawaty

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Designing and Developing an Intelligent Congkak by Muhammad Safwan, Mohd Shahidan

“…This issues can solved by programming the Congkak system based on previous work on Mancala and NN system, and then recording the performance of the related algorithm. …”
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The development of network error message alert retrieval for organizational intelligence system based on information retrieval techniques / Ahmad Syazwan Ahmad Zaki by Ahmad Zaki, Ahmad Syazwan

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Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. This work highlights that big data analytics using computational intelligent algorithms generates a very high amount of energy, especially during the training phase. …”
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Time series data intelligent clustering algorithm for landslide displacement prediction by Han, Liu, Shang, Tao, Shu, Jisen, Khan Chowdhury, Ahmed Jalal

“…To address this problem, an intelligent clustering algorithm for time series data in landslide displacement prediction based on nonlinear dynamic time bending is proposed in this paper. …”
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