Wind energy system fault classification using deep CNN and improved PSO‐tuned extreme gradient boosting by Chun‐Yao Lee, Edu Daryl C. Maceren

“…Abstract Intelligent fault diagnosis for wind energy systems requires identifying unique characteristics to differentiate various fault types effectively, even when data discrepancy occurs due to the unpredictable and dynamic nature of its environment. …”
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Optimizing Hybrid Electric Vehicle Performance: A Detailed Overview of Energy Management Strategies by Álvaro Gómez-Barroso, Iban Vicente Makazaga, Ekaitz Zulueta

“…Our analysis also revealed the importance of leveraging vehicle connectivity and intelligent transportation systems for future energy management developments, which will contribute to broader sustainability goals in the automotive sector.…”
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Cyber-Physical System Security for Manufacturing Industry 4.0 Using LSTM-CNN Parallel Orchestration by Salman Saeidlou, Nikdokht Ghadiminia, Kwadwo Oti-Sarpong

“…However, these benefits have unleashed risks of cyber attacks on internet-connected manufacturing units such as autonomous intelligent computer-controlled cutting (ICNC) machines. …”
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Learning Dynamic Spatial-Temporal Dependence in Traffic Forecasting by Chaoyu Ren, Yuezhu Li

“…Accurate traffic forecasting is a key part of intelligent transport systems, facilitating a variety of urban application services such as trip alerting, route planning and traffic management. …”
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Creation of Structural Polymer Composite Materials for Functional Application Using Physicochemical Modification by Aleksandr E. Kolosov, Volodymyr I. Sivetskii, Elena P. Kolosova, Volodymyr V. Vanin, Aleksandr V. Gondlyakh, Dmytro E. Sidorov, Igor I. Ivitskiy

“…Some issues of forming products from intelligent polymer composites are analyzed. The results of the survey can be used in the design of advanced technologies for the creation of functional polymer composites of functional application.…”
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Learning digital medical environment as a tool of teaching computer science to medical students by Vadim V. Grinshkun, Kristina S. Itinson

“…Therefore, the creation of a universal digital system for intelligent analysis of medical data obtained from different devices and different doctors is an important task of the performed research. …”
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Integrating Social Relationships and Personality into MAS-Based Group Recommendations by Ariel Monteserin, Daiana Elin Madsen, Daniela Godoy, Silvia Schiaffino

“…Multi-agent systems can be used to develop such recommendations, where multiple intelligent agents interact with each other to achieve a common goal, i.e., deciding which item to recommend. …”
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Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning by Rui Liu

“…The feature extraction of high-precision microseismic signals is an important prerequisite for multicategory recognition of microseismic signals, and it is also an important basis for intelligent sensing modules in smart mines. Aiming at the problem of unobvious feature extraction of multiclass mine microseismic signals, this paper is based on the unsupervised learning method in the deep learning method, combined with wavelet packet energy ratio and empirical modulus singular value decomposition, and proposes a method based on wavelet packet energy and empirical modulus singular value decomposition and proposes a method (M-W&E) based on wavelet packet energy and empirical modulus singular value decomposition. …”
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HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

“…In this study, we propose an herbal property graph convolutional network (HPGCN) model by combining TCM theory, modern pharmacological mechanisms, prior knowledge of herbal properties, and intelligent algorithms, which can effectively predict herbal heat/cold properties. …”
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High-resolution analysis of hydraulic response characteristics of silted stormwater pipeline and manholes in urban catchments using GASM-TranGRU and CFD-DEM by Danyang Di, Ruoyi Wang, Hongyuan Fang, Mingsheng Shi, Bin Sun, Niannian Wang, Bin Li

“…The local and global feature search capabilities were enhanced by an embedded self-attention network, which in turn established an intelligent early warning model for manhole water levels in silted pipelines.Results:The results of the test analysis showed that, owing to the blocking effect of siltation, the water level of the manhole at the first end of the silted pipe was high, leading to a decrease in the water level of the manhole at the tail end. …”
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Hardware Efficient Speech Enhancement With Noise Aware Multi-Target Deep Learning by Salinna Abdullah, Majid Zamani, Andreas Demosthenous

“…When processing NOISEX-92 noises, the system achieved an average short-time objective intelligibility (STOI) and perceptual evaluation of speech quality (PESQ) scores of 0.81 and 1.62, respectively, outperforming SE algorithms trained with only a single learning target. …”
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An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis by Subhash Mondal, Ranjan Maity, Amitava Nag

“…This study presents an Artificial Neural Network (ANN) based intelligent healthcare system to predict the risk of CHD. …”
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Forecasting Travel Speed in the Rainfall Days to Develop Suitable Variable Speed Limits Control Strategy for Less Driving Risk by Ping Wang, Yajie Zhang, Saisai Wang, Li Li, Xiaohui Li

“…This can promote road safety in the development of intelligent transportation system (ITS) in future.…”
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Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication by Zafar Iqbal, Majid Iqbal Khan

“…Recent research trends in intelligent transportation system are focused toward developing automatic incident detection systems to deal with on-road incidents including accidents, traffic congestion, and jamming which cause damage to precious human lives and financial losses. …”
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Recent advances of the thermodynamic behavior of tin species in aqueous solution by Yang D.-R., Wu Z.-L., Ren K., Dong P., Zhang D., Yang B., Liang F.

“…Finally, the application prospect of the potential-pH diagram for Sn/H2O system was investigated in the intelligent simulation of Sn metallurgy and the practical application of Sn materials.…”
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Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm by Xing Wei, Lei Liu, Yongji Wang, Ye Yang

“…As a relatively new swarm intelligent algorithm, an adaptive fireworks algorithm (AFWA) has exhibited promising performance on some optimization problems. …”
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Evidence for the Paleoethnobotany of the Neanderthal: A Review of the Literature by Gerhard P. Shipley, Kelly Kindscher

“…Our perception of our closest human relatives, the Neanderthals, has evolved in the last few decades from brutish ape-men to intelligent archaic human peoples. Our understanding and appreciation of their cultural sophistication has only recently extended to their diet. …”
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Tea Disease Recognition Based on Image Segmentation and Data Augmentation by Ji Li, Chenyi Liao

“…Accurate identification of tea leaf diseases is crucial for intelligent tea cultivation and monitoring. However, the complex environment of tea plantations—affected by weather variations and uneven lighting—poses significant challenges for building effective disease recognition models using raw field-captured images. …”
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Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses by Ruiqi Ma, Qian Cheng, Jing Yao, Zhiyu Peng, Mingxu Yan, Jie Lu, Jingjing Liao, Lejin Tian, Wenjun Shu, Yunqiu Zhang, Jinghan Wang, Pengfei Jiang, Weiyi Xia, Xiaofeng Li, Lu Gan, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Xiawei Wang, Xintong Lin, Haifeng Chen, Weifang Zhu, Dehui Xiang, Baoqing Nie, Jingtao Wang, Jie Guo, Kang Xue, Hongguang Cui, Jinwei Cheng, Xiangjia Zhu, Jiaxu Hong, Fei Shi, Rui Zhang, Xinjian Chen, Chen Zhao

“…This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…The findings provide valuable insights for practitioners in financial markets and contribute to the advancement of hybrid intelligent systems for time series prediction. The model's superior performance is attributed to its unique integration of evolutionary optimization, attention-based feature selection, and fuzzy logic's ability to handle uncertainty in financial data.…”
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