Search Results - (( intelligence fail research algorithm ) OR ( intelligence based based algorithm ))

An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types by Selamat, Harihodin, Mohd. Rahim, Mohd. Shafry, Daman, Daut

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Embedded Artificial Intelligent (AI) To Navigate Cart Follower by Tang, Khai Luen

“…One of the solution for the problem is to create an Artificial Intelligent (AI) cart follower. Therefore, this research is to create an AI system for the AI cart follower with a visual based sensor. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

“…This process requires human labour to visually inspect and sort fruits, leading to variability and inefficiencies in the sorting process. This research proposes a low-cost alternative using intelligent fruit selection systems based on computer vision techniques to address these issues. …”
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Photovoltaic-based single-ended primary-inductor converter with dual-fuzzy logic control-based maximum power point tracking by Ramalu, Tanaselan

“…Among artificial intelligent algorithms used in MPPT are neural network, fuzzy logic control (FLC) and genetic algorithm. …”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen by Panagen, Suriyanti

“…This project is about detecting which type of extra axial brain tumor suffered by patient using the artificial intelligence approach. Artificial intelligence method that used in this system is artificial neural network. …”
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Enhancing Harmony Search Parameters Based On Step And Linear Function For Bus Driver Scheduling And Rostering Problems by Mansor, Nur Farraliza

“…Optimization is a major challenge in numerous practical world problems.According to the “No Free Lunch (NFL)” theorem,there is no existing single optimizer algorithm that is able to resolve all issues in an effective and efficient manner.It is varied and need to be solved according to the specific capabilities inherent to certain algorithms making it hard to foresee the algorithm that is best suited for each problem.As a result,the heuristic technique is adopted for this research as it has been identified as a potentially suitable algorithm.Alternative heuristic algorithms are also suggested to obtain optimal solutions with reasonable computational effort.However,the heuristic approach failed to produce a solution that nears optimum when the complexity of a problem increases;therefore a type of nature-inspired algorithm known as meta-euristics which utilises an intelligent searching mechanism over a population is considered and consequently used.The meta-heuristic approach is widely used to substitute heuristic terms and is broadly applied to address problems with regards to driver scheduling.However,this meta-heuristic technique is still unable to address the fairness issue in the scheduling and rostering problems.Hence,this research proposes a strategy to adopt an amendment of the harmony search algorithm in order to address the fairness issue which in turn will escalate the level of fairness in driver scheduling and rostering.The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems.In this respect,the three main operators in harmony search,namely the Harmony Memory Consideration Rate (HMCR),Pitch Adjustment Rate (PAR) and Bandwidth (BW) play a vital role in balancing local exploitation and global exploration.These parameters influence the overall performance of the HS algorithm,and therefore it is crucial to fine-tune them. …”
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Chronic kidney disease diagnostic tools based on machine learning algorithms: a review / Muhamad Huzaimi Abdul Ghafar ... [et al.] by Abdul Ghafar, Muhamad Huzaimi, Al-Junid, Syed Abdul Mutalib, Megat Ali, Megat Syahirul Amin, Mohamad, Fathimah, Abdul Razak, Abdul Hadi

“…This paper concludes with a discussion of prospects for future research on AI-based CKD diagnostic systems, including deep learning algorithms applied to an assortment of open problems and challenges.…”
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Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes by Reem Mustafa , Mah’d Al Debes

“…This study focuses on optimizing energy-efficient power allocation in Non-Orthogonal Multiple Access (NOMA) systems, a transformative approach that allows multiple users to share resources simultaneously. The research leverages Artificial Intelligence (AI)-based Genetic Algorithms (GA) and game theory to address critical challenges in resource allocation. …”
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ExploreEasy: Smart and all-in-one trip management application by Yap, Pei Nee

“…This research presents an AI-driven trip planning and recommendation system that employs a Hybrid Recommendation Algorithm, integrating Collaborative Filtering (CF) and Content-Based Filtering (CBF) to provide highly customised travel itineraries. …”
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Genetic algorithm-based optimal overcurrent relays coordination for standalone sustainable hydrokinetic renewable energy distribution network by Ahmad, Saiful Zuhaimi

“…OCRs depend on its Time Dial Setting (TDS) values which effect the operating time of the relays. This research work propose the artificial intelligent (AI) solution on the objective function (OF) formulation, with the application of genetic algorithm (GA) optimization solver, to determine each relay best optimal operation for the TDS value and response time to fault accordingly and also eliminate miscoordination among the relays. …”
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Speaker identification through feature fusion based deep learning / Rashid Jahangir by Rashid , Jahangir

“…These unique characteristics enable researchers to recognise human voice using artificial intelligence techniques that are important in the areas of security and surveillance, electronic voice eavesdropping, mobile banking, mobile shopping and speaker identification (SI). …”
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Artificial intelligence-based power system stabilizers for frequency stability enhancement in multi-machine power systems by Sabo, Aliyu, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi, Mohd Jaffar, Mai Zurwatul Ahlam, Acikgoz, Hakan, Nafisi, Hamed, Shahinzadeh, Hossein

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Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System by Al-Barazanchi I., Hashim W., Ahmed Alkahtani A., Rasheed Abdulshaheed H., Muwafaq Gheni H., Murthy A., Daghighi E., Shawkat S.A., Jaaz Z.A.

Survey on encode biometric data for transmission in wireless communication networks by Ali M.H., Ibrahim A., Wahbah H., Al_Barazanchi I.

“…The aim of this research survey is to review an enhanced model supported by artificial intelligence to encode biometric data for transmission in wireless communication networks can be tricky as performance decreases with increasing size due to interference, especially if channels and network topology are not selected carefully beforehand. …”

Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

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Gas inspector mobile robot as carbon monoxide source finder by Rezaeian, Sarah

“…Algorithms used for exploration and localization by mobile robots are mostly been developed to run on a PC, so they are not executed in real-time. …”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line by Noroziroshan, Alireza, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah

“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

“…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration by Jaafar, Hazriq Izzuan

“…This paper presented a comparative study of the application of two Swarm Intelligence algorithms: Particle Swarm Optimization and Firefly Algorithm in automatic camera calibration problem. …”
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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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