Search Results - intelligence its cell algorithm

Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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Vision-based 3D part recognition system for flexible manufacturing cell by Ismail, Napsiah, Abdul Rahman, Khairuddin, Md Yusof, Juraina, Mohd Kassim, Muhammad Saufi, Tang, Sai Hong, Samin, Razali

“…The automatic generation of the 3D objects/parts recognition algorithm and the intelligent based part recognition for FMC will be developed from the multiple 2D images.…”
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Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm by Alhamdawee, Ehsan Mohsin Obaid

“…MPPT algorithms can be categorized into classical methods and artificial intelligence-based methods. …”
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Comparative analysis of danger theory variants in measuring risk level for text spam messages by Zainal K., Jali M.Z., Hasan A.B.

Decision tree-based approach for online management of PEM fuel cells for residential application by Mohd Rusllim, Mohamed

“…This thesis demonstrates a new intelligent technique for the online optimal management of PEM fuel cells units for onsite energy production to supply residential utilizations. …”
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Optimized Intelligent Controller for Energy Storage based Microgrid towards Sustainable Energy Future by Abu S.M., Hannan M.A., Mansor M., Ker P.J., Yaw Long C.

“…This study focuses on a sustainable microgrid-based hybrid energy system (HES), primarily focusing on analyzing the performance of the fuel cell and its impact on the overall HES into optimizing system performance. …”

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

“…Results of AIRS have shown its potential for classification purposes. AIRS is an intelligent classifier offering robust and powerful information processing capabilities and is becoming steadily an effective branch of computational intelligence. …”
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Decision tree-based approach for online management of pem fuel cells for residential application by Mohamed, Mohd Rusllim

“…This thesis demonstrates a new intelligent technique for the online optimal management of PEM fuel cells units for on site energy production to supply residential utilizations. …”
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Fault detection with optimum March Test Algorithm by Zakaria, Nor Azura, Wan Hasan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Wen, Xiaoqing

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A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

“…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

“…Leveraging state-of-the-art Multi-Objective Optimization algorithms, the research delves into the intricate dynamics of tumour and effector cell interactions within the context of chemotherapy. …”
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Charging and discharging control of Li-Ion battery energy management for Electric vehicle application by Verasamy M., Faisal M., Ker P.J., Hannan M.A.

“…A bidirectional flyback DC-DC converter is investigated in the BMS model to control the under-charging or overcharging of cells. An intelligent charge control algorithm is used for this purpose. …”

An Intelligent Hybrid Model Using CNN and RNN for Crop Yield Prediction by JUNE, KHOO YAN

“…CNN is a popular learning model used in predicting crop yield due to its high performance in feature extraction. CNN algorithm is used in this study due to its characteristic where it considers a smaller number of parameters in the network, and it has a lower chance of overfitting While RNN acts as a prediction model in this study. …”
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Energy Management System For Three-Wheel Light Electric Vehicle Using Multi-Sources Energy Models by Azidin, Farid Arafat

“…Therefore, the system equipped with an intelligent control algorithm has promising potential in vehicle energy management applications for the future.…”
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Predictive Analytics Of Cigs Solar Cell Using A Combinational Gra-Mlr-Ga Model by Salehuddin, Fauziyah, Kaharudin, Khairil Ezwan, Mohd Zain, Anis Suhaila, Roslan, Ameer Farhan

“…Thin-film Copper Indium Gallium Selenide (CIGS) solar cell is identified to be one of the promising structures to replace conventional silicon-based solar cell due to its lower cost and reduced thickness. …”
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An Intelligent Controlling Method for Battery Lifetime Increment Using State of Charge Estimation in PV-Battery Hybrid System by Qays, Md Ohirul, Yonis M Yonis, Buswig, Hazrul, Basri, Hossain, Md Liton, Ahmed, Abu-Siada, Rahman, Md Momtazur, Muyeen, S. M.

“…As such, an intelligent power control approach for a PV-battery standalone system is proposed in this paper to improve the reliability of the battery along its operational life. …”
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Lung cancer medical images classification using hybrid CNN-SVM by Abdulrazak Yahya, Saleh, Chee, Ka Chin, Vanessa, Penshie, Hamada Rasheed Hassan, Al-Absi

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Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

“…It reduces the number of handovers by 29.7% and 26.9%, respectively, compared to the conventional RSSI based handover algorithm and the previous worked, mobility improved handover (MIHO) algorithm. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

“…Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. …”
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