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  1. 1

    A technical perspective on integrating artificial intelligence to solid‑state welding by Yaknesh, Sambath, Rajamurugu, Natarajan, Babu, Prakash K., Subramaniyan, Saravanakumar, Khan, Sher Afghan, Saleel, C. Ahamed, Alam, Mohammad Nur‑E, Soudagar, Manzoore Elahi Mohammad

    Published 2024
    “…This study investigates thoroughly how AI-based predictions have impacted SSW by looking at methods like Artificial Neural Networks (ANN), Fuzzy Logic (FL), Machine Learning (ML), Meta-Heuristic Algorithms, and Hybrid Methods (HM) as applied to Friction Stir Welding (FSW), Ultrasonic Welding (UW), and Diffusion Bonding (DB). …”
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    Article
  2. 2

    Artificial intelligence and its impact on the legal fraternity by Rajendra, Josephine Bhavani, S.Thuraisingam, Ambikai

    Published 2022
    “…The article endeavors to analyze the implications of artificial intelligence (AI) in the legal fraternity. There have been various reports on the impact and challenges of AI in the legal fraternity in recent years. …”
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    Article
  3. 3

    A technical perspective on integrating artificial intelligence to solid‑state welding by Yaknesh, Sambath, Rajamurugu, Natarajan, Babu, Prakash K., Subramaniyan, Saravanakumar, Khan, Sher Afghan, Saleel, C. Ahamed, Nur‑E‑Alam, Mohammad, Soudagar, Manzoore Elahi Mohammad

    Published 2024
    “…This study investigates thoroughly how AI-based predictions have impacted SSW by looking at methods like Artificial Neural Networks (ANN), Fuzzy Logic (FL), Machine Learning (ML), Meta-Heuristic Algorithms, and Hybrid Methods (HM) as applied to Friction Stir Welding (FSW), Ultrasonic Welding (UW), and Diffusion Bonding (DB). …”
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    Article
  4. 4

    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…Then, in order to cope with the limitations of the existing artificial intelligence (AI) based methods, optimized gene expression programming (GEP) is applied to precisely formulate the relationships between historical data and EEC of ASEAN-5 countries. …”
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    Thesis
  5. 5
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    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.] by M. A., Hambali, Y. K, Saheed, M. D, Gbolagade, M, Gaddafi

    Published 2017
    “…Among the AI methods, artificial neural networks (ANNs) have got some attention from a lot of researchers in this area due to its flexibility in data modeling. …”
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    A concept paper on readiness in artificial intelligence (AI) mastery and its impact on 21st century pedagogy among pre-service history teachers by Arzizul Bin Antin, Dg Norizah binti Ag Kiflee Dzulkifli

    Published 2025
    “…This concept paper investigates the readiness of pre-service History teachers to integrate Artificial Intelligence (AI) into secondary school education, in response to the increasing influence of advanced technologies in contemporary pedagogy. …”
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    Article
  9. 9

    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    Published 2018
    “…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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    Thesis
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    A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation by Mohd Ali, Nursabillilah, Besar, Rosli, Ab Aziz, Nor Azlina

    Published 2023
    “…Machine learning is a subfield of artificial intelligence (AI) and computer science that uses data and algorithms to mimic how humans learn, and gradually improving its accuracy. …”
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    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…There are researches related to the reinforcement issues and the researchers showed that AI can be the solution. Evolutionary Computing (EC) is chosen as one of the AI method for its stochastic features and it shows promising results in many fields. …”
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    Thesis
  15. 15

    Artificial intelligence-driven vehicle fault diagnosis to revolutionize automotive maintenance: A review by Hossain, Md Naeem, Rahman, Md Mustafizur, D., Ramasamy

    Published 2024
    “…The review elucidates the transformation of VFD systems that consequently increase accuracy, economization, and prediction in most vehicular sub-systems due to AI applications. Indeed, the limited performance of systems based on only one of these AI techniques is likely to be addressed by combinations: The integration shows that a single technique or method fails its expectations, which can lead to more reliable and versatile diagnostic support. …”
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  16. 16

    Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

    Published 2024
    “…This research employs the YOLOv8 model, which is a deep learning algorithm, to determine the most effective methods for detecting skin diseases. …”
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    Proceeding Paper
  17. 17

    AI recommendation penetration testing tool for SQL injection: linear regression by Ahmad Fuad, Norshahira Elliyana, Saad, Shahadan

    Published 2025
    “…The important of this study lies in its response to the labor and time-consuming nature of current testing methods. …”
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  18. 18

    Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

    Published 2013
    “…Reservoir modeling has advanced from the use of empirical equations through statistical regression tools to the present embrace of Artificial Intelligence (AI) and its hybrid techniques. Due to the high dimensionality and heterogeneity of the sensor data, the capability of conventional AI techniques has become limited as they could not handle more than one hypothesis at a time. …”
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    Proceeding
  19. 19

    TUNING A THREE-PHASE SEPARATOR LEVEL CONTROLLER VIA PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM by SATHASIVAM, LUVENRAJ

    Published 2013
    “…The PSO algorithm mimics the behaviour of bird flocking and fish schooling striving for its global best position. …”
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    Final Year Project
  20. 20

    GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators by Kun, Liu, Alli, Hassan, Abd Rahman, Khairul Aidil Azlin

    Published 2024
    “…Therefore, in this paper, a belief rule base (BRB) artificial intelligence inference algorithm based on GA optimization to determine the factors affecting customer churn for operators proposed. …”
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