Detecting unsafe behavior in neural network imitation policies for caregiving robotics by Andrii Tytarenko

“…Novel solutions proposed include ensemble predictors and adaptations of the normalizing flow-based algorithm for early anomaly detection. Comparative evaluations against anomaly detection methods like VAE and Tran-AD demonstrate superior performance on assistive robotics benchmarks. …”
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An Analysis of Image Classification Using Wavelet-Based Autoencoder Architecture and Extreme Learning Machine by Salwa Said, Salima Hassairi, Siwar Yahia, Ridha Ejbali, Mourad Zaied

“…This research paper conducts a comparative analysis between these two wavelet AE-based techniques. …”
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Preference learning based deep reinforcement learning for flexible job shop scheduling problem by Xinning Liu, Li Han, Ling Kang, Jiannan Liu, Huadong Miao

“…Furthermore, the Pearson correlation coefficient (PCC) is used to evaluate the performance of the preference model. Finally, comparative experiments on FJSP benchmark instances of varying sizes demonstrate that PBMP outperforms traditional scheduling strategies such as dispatching rules, OR-Tools, and other deep reinforcement learning (DRL) algorithms, achieving superior scheduling policies and faster convergence. …”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

“…This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. …”
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Qualification of beatings as non-live-threatening and non-health-threatening violence by O. V. Artyushina

“…The subject. The algorithm of qualification of beatings is researched taking into account changes in the Russian legislation of Russia on the protection of bodily integrity of a person. …”
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Stripe segmentation of oceanic internal waves in SAR images based on SegFormer by Hong-Sheng Zhang, Ji-Yu Sun, Kai-Tuo Qi, Ying-Gang Zheng, Jiao-Jiao Lu, Yu Zhang

“…The study of oceanic internal waves remains a critical area of research within oceanography. With the rapid advancements in oceanic remote sensing and deep learning, it is now possible to extract valuable insights from vast datasets. …”
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Wireless sensor network positioning technology based on improved sampling box and fuzzy reasoning by Ningyun Dan, Lun Zhao, Wenjin Pan, Yan Cai

“…The research results indicate that on the UCI and MIT Reality datasets, the Rand coefficient of the fuzzy clustering algorithm optimized for time series is stable at 0.89 when the weight allocation index is 5, which is superior to other comparative algorithms. …”
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Estimating shear strength of dredged soils for marine engineering: experimental investigation and machine learning modeling by Zheng Yao, Kaiwei Xu, Zejin Wang, Haodong Sun, Peng Cui, Peng Cui

“…To enhance the estimation of dredged soil shear strength in marine settings, this research conducted 1,600 direct shear tests under varying thermal conditions and multiple drying–wetting cycles. …”
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Modelling and Prediction of Random Delays in NCSs Using Double-Chain HMMs by Yuan Ge, Yan Zhang, Wengen Gao, Fanyong Cheng, Nuo Yu, Jincenzi Wu

“…The prediction can be used to design a controller to compensate the CA delay in the future research. Some comparative experiments are carried out to demonstrate the effectiveness and superiority of the proposed method.…”
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Standardization as Multifunctional Tool to Improve the Effectiveness of Analytical Procedures by E. B. Gerasimova

“…The methods of system research (analysis and synthesis), comparative analysis, and the method of analogies are used to solve the problems. …”
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Nonlinear Model Predictive Control for Pumped Storage Plants Based on Online Sequential Extreme Learning Machine with Forgetting Factor by Chen Feng, Chaoshun Li, Li Chang, Zijun Mai, Chunwang Wu

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Real-Time Analysis of Basketball Sports Data Based on Deep Learning by Peng Yao

“…This paper focuses on the theme of the application of deep learning in the field of basketball sports, using research methods such as literature research, video analysis, comparative research, and mathematical statistics to explore deep learning in real-time analysis of basketball sports data. …”
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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…Consequently, there is increasing research interest in multi-sensor data fusion. This paper proposes an innovative network model based on the improved snow ablation optimizer algorithm. …”
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Modeling New Nature of Extraction and State Identification of Vibration Shock Signals From Hydroelectric Generating Units Using LCGSA Optimized RBF Combined With CEEMDAN Sample Ent... by Xiang Li, Yun Zeng, Jing Qian, Boyi Xiao, Neng Fei, Fang Dao, Yidong Zou

“…This paper introduces a novel fault diagnosis approach that leverages a wavelet threshold algorithm for initial signal preprocessing and enhances the Radial Basis Function (RBF) neural network with an optimized Gravitational Search Algorithm (GSA). …”
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Active Equalization Strategy for Lithium-Ion Battery Packs Based on Multilayer Dual Interleaved Inductor Circuits in Electric Vehicles by Xu Lei, Jianping He, Linqian Fan, Guiping Wang

“…Eventually, the inconsistency phenomenon between cells resulting from manufacturing tolerance and usage process reduces the overall charging capacity of the battery and increases the risk of explosion after long-time use. Research has focused on synthesizing active material to achieve higher energy density and extended life cycle for LIBs while neglecting a comparative analysis of equalization technology on the performance of battery packs. …”
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Cross-Attention-Based High Spatial-Temporal Resolution Fusion of Sentinel-2 and Sentinel-3 Data for Ocean Water Quality Assessment by Yanfeng Wen, Peng Chen, Zhenhua Zhang, Yunzhou Li

“…Current marine research that leverages remote sensing data urgently requires gridded data of high spatial and temporal resolution. …”
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pyAKI-An open source solution to automated acute kidney injury classification. by Christian Porschen, Jan Ernsting, Paul Brauckmann, Raphael Weiss, Till Würdemann, Hendrik Booke, Wida Amini, Ludwig Maidowski, Benjamin Risse, Tim Hahn, Thilo von Groote

“…After implementation of the diagnostic algorithm, using both serum creatinine and urinary output data, pyAKI was tested on a subset of patients and diagnostic accuracy was compared in a comparative analysis against annotations by physicians.…”
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Assessing Reliability and Energy Security Through PLANS and EA-PSM Software Simulations by Piotr Hadaj, Dominik Strzałka

“…The research highlights the critical role of these simulations in integrating renewable energy sources and ensuring efficient, sustainable, and resilient power systems. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…The study’s novelty lies in the comparative assessment of multiple optimization algorithms applied to waste-based concrete, an approach that has not been extensively explored in previous research. …”
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Engineering Safety-Oriented Blasting-Induced Seismic Wave Signal Processing: An EMD Endpoint Suppression Method Based on Multi-Scale Feature by Miao Sun, Jing Wu, Yani Lu, Fangda Yu, Hang Zhou

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