Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

“…This work proposed an intelligent automated approach to early fault detection through the implementation of the HARO (Huber Adam Regression Optimizer) model, which combines Transformer networks with Lasso Regression and the Adam optimizer. …”
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Computer-Integrated Monitoring Technology with Support-Decision of Unauthorized Disturbance of Methane Sensor Functioning for Coal Mines by Oleksandr Vovna, Hanna Kaydash, Leszek Rutkowski, Іvan Sakhno, Іvan Laktionov, Maryna Kabanets, Sergey Zozulya

“…This research aims to develop an intelligent method for detecting disturbances in methane sensor operation, preventing mining emergencies. …”
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ML-Based Self-Optimization Handover Technique for Beyond 5G Mobile Network by Saddam Alraih, Rosdiadee Nordin, Asma Abu-Samah, Ibraheem Shayea, Nor Fadzilah Abdullah

“…Thus, this study introduces a new, intelligent, and robust self-optimization HO technique designed to work efficiently with the B5G networks. …”
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Multi-Scale Modeling and Optimization of Single-Layer Reticulated Shell Structures Using Multi-Point Constraint and Variable Density Methods by Xianjie Wang, Yongdang Chen, Zhaoyi Wang, Yue Tang, Xin Wang, Chengpeng Lu

“…The development of topology optimization and additive manufacturing technology broadens the space for optimization design, and provides new ideas for advanced design to integrate intelligent manufacturing.…”
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Sorghum Spike Detection Method Based on Gold Feature Pyramid Module and Improved YOLOv8s by Shujin Qiu, Jian Gao, Mengyao Han, Qingliang Cui, Xiangyang Yuan, Cuiqing Wu

“…It also contributes to increased sorghum production and harvest, as well as the enhancement of intelligent harvesting equipment for agricultural machinery.…”
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PENGARUH MODEL PROJECT BASED LEARNING (PjBL) PADA KONSEP SISTEM KOORDINASI MANUSIA TERHADAP KETERAMPILAN METAKOGNITIF SISWA KELAS XI SMA NEGERI 4 BANJARMASIN by Aulia Mahfuzah, Siti Ramdiah

“…Quality education is needed to support the creation of intelligent people who are able to compete in the era of globalization. …”
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Exploring the Interaction Mechanism between Persimmon Proanthocyanidins and Mucin Based on Fluorescence Spectroscopy by Zhenzhen GE, Yuxiang ZHAO, Qiaoqiao HU, Zelong LIU, Rongzu NIE, Wei ZONG, Siqun JING

“…The findings can serve as a reference for the design of intelligent delivery systems to enhance the bioavailability of persimmon proanthocyanidins in the intestine.…”
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Analysis of Psychological and Emotional Tendency Based on Brain Functional Imaging and Deep Learning by Lin Zhou

“…How to effectively obtain psychological data signals and use advanced intelligent technology to identify and make decisions is a research hotspot in psychology and computer science. …”
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CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel by Fuqin Deng, Junwei Li, Lanhui Fu, Chuanbo Qin, Yikui Zhai, Hongmin Wang, Ningbo Yi, Nannan Li, TinLun Lam

“…The experimental results showed that the proposed algorithm had an accuracy of 97.17%, precision of 96.18%, recall of 96.09%, and F1 score of 96.13% for age recognition of the tangerine peel, providing a visual solution for the intelligent development of the tangerine peel industry.…”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…Traditional monitoring techniques for automatic anomaly detection, identifying the potential variables, and root cause analysis for fault information are not intelligent enough to tackle the intricate problems of real-time practices in the industrial and chemical sectors. …”
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Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing by Yun-Ho Seo, Moo Sung Ryu, Ki-Yong Oh

“…The suggested integrated framework and measurement campaign are useful not only to avoid conservatism that may incur additional costs during load calculation and design phases but also to establish an intelligent operation and maintenance strategy with a novel sensing technique.…”
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Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL by Mohamed Nouh, Belal A. Zalam, Amged Sayed

“…Then, the controller parameters (gain, μ and λ) are tuned based on a novel optimization algorithm called Incomprehensible but Intelligible-in-time (IbI) Logics algorithm (ILA). The proposed controller enhances the performance of the system and regulates the speed of the motor under parameter variations such as the speed and the load. …”
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The Algorithm for Predicting the Numerical Value of Salivary Cortisol Based on Heart Rate Variations in the Healthy Men by Mohammad Reza Noruzi, Marzieh Barzegar, Mahdi Alizadeh, Boshra Hatef

“…It can be a more accurate tool in the intelligent evaluation of the stress system.…”
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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

“…The Support Vector Machine (SVM) technique is applied to train the Intelligent Electronic Devices to have a reliable MG protection scheme. …”
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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

“…Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). …”
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Integrating sustainability into cybersecurity: insights from machine learning based topic modeling by Krishnashree Achuthan, Sriram Sankaran, Swapnoneel Roy, Raghu Raman

“…Additionally, the study explores multidisciplinary strategies and innovations across four perspectives: adaptive frameworks that prioritize resilience and environmental consciousness, policy shifts for coordinated protection, the power of AI in intelligent threat detection, and the impact of emerging technologies on both security and environmental efficiency. …”
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A Novel WLAN Roaming Decision and Selection Scheme for Mobile Data Offloading by Nam Nguyen, Mohammad Arifuzzaman, Takuro Sato

“…However, in recent studies, the issue of making roaming decision and intelligently selecting the most preferable Point of Service to optimize network resource and improve end user’s experience has not been considered properly. …”
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Target Threat Assessment in Air Combat Based on Improved Glowworm Swarm Optimization and ELM Neural Network by Yuan Cao, Ying-Xin Kou, An Xu, Zhi-Fei Xi

“…Target threat assessment technology is one of the key technologies of intelligent tactical aid decision-making system. Aiming at the problem that traditional beyond-visual-range air combat threat assessment algorithms are susceptible to complex factors, there are correlations between assessment indicators, and accurate and objective assessment results cannot be obtained. …”
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Fault Diagnosis Method for Rotating Machinery Based on Hierarchical Amplitude-Aware Permutation Entropy and Pairwise Feature Proximity by Ling Shu, Jinxing Shen, Xiaoming Liu

“…Combined with the pairwise feature proximity (PWFP) feature selection method and gray wolf algorithm optimization support vector machine (GWO-SVM), a new intelligent fault diagnosis method for rotating machinery is proposed. …”
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Impact of Driver Compliance and Aggressiveness in Connected Vehicles on Mixed Traffic Flow Efficiency: A Simulation Study by Chenhao Qian, Taojun Feng, Zhiyuan Li, Yanjun Ye, Shengwen Yang

“…The study outlines two primary methods: the intelligent driver model (IDM) with driver compliance (CVs-IDM) and the lane-change 2013 model with drivers’ style. …”
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