Search Results - (( intelligence 21 process algorithm ) OR ( intelligence system _ algorithm ))

Multi-target tracking algorithm in intelligent transportation based on wireless sensor network by Lei, Yang, Wu, Yuan, Khan Chowdhury, Ahmed Jalal

“…A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

“…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”

A conceptual automated negotiation model for decision making in the construction domain by Mahmoud M.A., Ahmad M.S., Yusoff M.Z.M.

“…Artificial intelligence; Automation; Autonomous agents; Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Network architecture; Automated negotiations; Conflict resolution algorithms; Decision making process; Intelligent software agent; Multiagent negotiation; Negotiation algorithm; Negotiation protocol; Value management; Software agents…”

Odor Recognition Using Fuzzy Logic Algorithm by Azahar, Ratnawati, I T. M, Shariffah Nur Rasyidah, NurAtiqah Nadiah

Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems by Bashar AbedAl Mohdi Talal AlDeeb

“…The IWD is a recent metaheuristic population-based algorithm belonging to the swarm intelligent category which simulates the dynamic of the river systems. …”

Computational intelligence technique for DG installation within contingency scenario / Muhamad Saifullah Mahmud Affandi by Mahmud Affandi, Muhamad Saifullah

“…Meanwhile, for ABC algorithm is inspired of the intelligent behavior of bees during the nectar search process. …”
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Intelligent auto tracking in 3D space by image processing by Al-Khateeb, Khalid A. Saeed, Awang, Mat Kamil, Khalifa, Othman Omran

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Intelligent Optimization Systems for MaintenanceScheduling of Power Plant Generators by Ismail F.B., Randhawa G.S., Al-Bazi A., Alkahtani A.A.

“…The Analytical Hierarchy Process (AHP), a decision-making tool, is implemented to aid the researcher in prioritizing and re-ranking the maintenance activities from the most important to the least. The intelligent optimization models are developed using MATLAB and the developed intelligent algorithms are tested on a case study in a coal power plant located at minjung, Perak, Malaysia. …”

A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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Hybrid intelligent approach for network intrusion detection by Al-Mohammed, Wael Hasan Ali

“…Clustering is the last step of processing before classification has been performed, using k-means algorithm. …”
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An intelligent adjustable spanner for automated engagement with multi-diameter bolts/nuts during tightening/loosening process using vision system and fuzzy logic by Ali, Mohammed A. H., Alshamer, Mohammed A.

“…It is a complete innovative system that involves the utilization of the vision system and fuzzy logic to make decisions about the diameter of head of bolt/nut. …”
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TB_Screen - An Intelligent Tuberculosis Screening System by Mohd Yusoff, Mashor, Prof. Madya Dr., Teow, Suet Li, Noorhidayah, Abu

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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach by Premkumar M., Hashim T.J.T., Ravichandran S., Sin T.C., Chandran R., Alsoud A.R., Jangir P.

“…Employing both single- and multi-objective optimization algorithms, the research addresses the OPF problem in a modified IEEE-30 bus system through various case studies. …”

Intelligent control of grain drying process using fuzzy logic controller. by Mansor, Halimathon, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Mohd Kamil, Taip, Farah Saleena, Lutfy, Omar F.

“…Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review by Hassan, Ismail Bile, Hashi, Abdurezak Abdulahi

“…Artificial intelligence technologies that benefited healthcare include machine learning, natural language processing, rule-based expert system, physical robots, and robotics process automation. …”
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Adaptive sine-cosine algorithms for global optimization by Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Shuhairie, Mohammad, Ahmad Azwan, Abdul Razak, Haszuraidah, Ishak

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Bio-inspired NoC fault tolerant techniques by Sethi, Muhammad Athar Javed, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

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IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al] by Boudville, Rozan, Abdul Wahab, Afif Luqmanulhakim, Wan Zukenani, Wan Izzat Hakimi, Mohd Khelmy, Muhammad Adly Hisyam, Khiruddin, Nur Raihah

“…This study presents an Internet of Things (IoT)-based intelligent monitoring and alert system for detecting headwater phenomena in real time. …”
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Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects by Nashruddin S.N.A.B.M., Salleh F.H.M., Yunus R.M., Zaman H.B.

“…Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. This paper highlights the critical advances in material innovation, biorecognition elements, signal transduction, data processing, and intelligent decision systems necessary for developing next-generation wearable and implantable devices. …”