Optimization of artificial intelligence in localized big data real-time query processing task scheduling algorithm by Maojin Sun, Luyi Sun

“…IntroductionThe development of science and technology has driven rapid changes in the social environment, especially the rise of the big data environment, which has greatly increased the speed at which people obtain information. …”
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A safety evaluation method and system for a high core wall dam based on construction data by Zicheng Wang, Yingchi Mao, Yaosheng Tan, Qiaoling Shen, Houlei Xu

“…In view of the complex operational conditions and dynamically changing safety risks associated with high core wall dams in the construction period, a comprehensive safety evaluation system for high core wall dams, which utilizes fuzzy theory and emergency response methods, has been developed. …”
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Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification by Satheeshkumar Palanisamy, Vigneshwaran Thangaraju, Jeevitha Kandasamy, Ayodeji Olalekan Salau

“…Abstract The rapid expansion of IoT-enabled healthcare systems has resulted in the generation of large-scale, heterogeneous, and high-dimensional medical data. However, traditional machine learning models often struggle with issues such as data imbalance, redundant features, and noise, limiting their reliability in clinical diagnostics. …”
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Predictive Maintenance of Old Grinding Machines Using Machine Learning Techniques by Primawati Primawati, Fitrah Qalbina, Mulyanti Mulyanti, Ferra Yanuar, Dodi Devianto, Remon Lapisa, Fazrol Rozi

“… This study aims to develop a predictive maintenance system for an aging vertical grinding machine, operational since 1978, by integrating machine learning techniques, vibration analysis, and fuzzy logic. …”
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Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

“…Our research proposes a new framework instigated and developed to improve crop disease detection and classification by multifaceted analysis. …”
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Perspectives for the Development of the Collaboration Relations in the Association Forms for Association Forms in the Galaţi County by Andrei-Mirel FLOREA, Riana RADU, Adriana MOCANU PUSTIANU, Silvius STANCIU

“…A survey addressed to the OUAI in Galati County attempted to identify the relations between the members that can lead to the association not only for irrigation, but also for agricultural activities. An analysis of the data obtained from the survey was carried out, using the „fuzzy set comparative qualitative analysis” (fsQCA) method, in the context of land fragmentation, in conjunction with supporting national and European programs for the association and development of the irrigation infrastructure. …”
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Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression by Nusrat Jahan, Tawab Bin Maleque Niloy, Jannatul Fahima Silvi, Mahdi Hasan, Ishrat Jahan Nashia, Riasat Khan

“…The novelty of this work lies in the development and comprehensive analysis of an IoT-based firefighting drone conducting extensive real-time experiments.…”
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Designing a Conceptual model for Evaluating the Performance of Software Developers in Fintech Organizations by Hassan Javadi, Fereshteh Amin

“…The data extracted from these interviews were analyzed using the content analysis method, with the assistance of Maxqda software. …”
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Classification and identification of medical insurance fraud:  a case-based reasoning approach by Xiaodi Liu, Shasha Zhang, Zengwen Wang, Shitao Zhang

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Alkaline fusion approach to Zeolite Y synthesis from Ahoko Metakaolin: computer-aided simulation, response surface and ANFIS modelling with uncertainty quantification by Kazeem K. Salam, Olusola E. Oke, Dauda O. Araromi, Mujidat O. Aremu, Idayat A. Olowonyo, Monsuru O. Dauda, Akinola D. Ogunsola

“…The steady-state simulation was performed using ASPEN Batch Process Developer (ABPD), and the regression model and ANFIS input data were achieved using Box-Behnken Design (BBD). …”
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Investigation of construction waste material using multi criteria decision making method: a case study in Bhutan by Khameis Mohamed Al Abdouli, Mon Bdr Sinchuri, Nima Yoezer, Nima Pakhring, Anju Chhetri, Nimesh Chettri

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Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings by Daniel Asuquo, Kingsley Attai, Okure Obot, Moses Ekpenyong, Christie Akwaowo, Kiirya Arnold, Faith-Michael Uzoka

“…Distinguishing one febrile illness from another posed a significant challenge, adding to the complexity of accurate diagnoses. This study developed a multi-symptom multi-disease model to address this challenge, leveraging exploratory data analysis of patient datasets from field studies and the expertise of medical practitioners specializing in tropical diseases. …”
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Determining potential location for development planning of ocean current energy for electricity resources in Bengkulu by Nazzla Rauzatul, Jaya Indra, Panggabean Donwill, Rahmat Ayi

“…The fuzzy analysis results show the estimation of suitable sites using defuzzification results at approximately 12 m. …”
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Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations by Matej Antoško, Volodymyr Polishchuk, Martin Kelemen, Anton Korniienko, Miroslav Kelemen

“…An informational neuro-fuzzy model was developed and verified on 157,500 real data points. …”
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Review and prospects of information technologies management in agriculture by N. M. Matsveichuk, Yu. N. Sotskov, A. Yu. Mikhailov

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A multi-attribute decision making method for evaluation of traditional Chinese medicine quality based on complex m-generalized q-neutrosophic set by Minghua Shi, Jinbo Zhang

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Application of Interval Neutrosophic Logic Model for Diagnosis of Cattle Disease by Lola Safarova, Dilnoz Muhamediyeva, Sokhibjan Muminov, Seyyed Ahmad Edalatpanah

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Compressive strength of nano concrete materials under elevated temperatures using machine learning by Abdullah M. Zeyad, Alaa A. Mahmoud, Alaa A. El-Sayed, Ayman M. Aboraya, Islam N. Fathy, Nikos Zygouris, Panagiotis G. Asteris, Ibrahim Saad Agwa

“…These models were developed via adapting meta- heuristic models including the Water cycle algorithm (WCA), Genetic algorithm (GA), and classical AI models of Artificial neural networks (ANNs), Fuzzy logic models (FLM), in addition to the statistical method of Multiple linear regression (MLR). 156 post heating experimental results available as a literature data (represents four input parameters of temperature change, heat exposure duration, nanomaterial type, and replacement proportion) are used to achieve the study’s objective. …”
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Configurational risks and innovation performance of complex product systems development: A fsQCA lens by Furong Ruan, Nanping Feng, Fenfen Wei, Youying Wang, Guangyan Lu

“…Based on the configurational theory and WSR framework, we use fuzzy set qualitative comparative analysis (fsQCA) with data from 97 CoPS projects and examine the combined effects of risks on innovation performance. …”
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Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications by Pasupuleti Thejasree, Natarajan Manikandan, Neeraj Sunheriya, Jayant Giri, Rajkumar Chadge, T. Sathish, Ajay Kumar, Muhammad Imam Ammarullah

“…This study investigates the application of Wire Electrical Discharge Machining (WEDM) as an advanced method for processing Inconel 625 in biomedical contexts. The authors develop an Adaptive Neuro‐Fuzzy Inference System for forecasting WEDM parameters using grey‐based data. …”
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