Generalized Likelihood Block Detection for SPAD-Based Underwater VLC System by Ya-Wei Ji, Guo-Feng Wu, Chao Wang

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Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…After training with the Levenberg-Marquardt algorithm, the model′s R2 significantly improved to 0.9989, demonstrating the superiority of neural networks in modeling nonlinear complex systems. …”
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Segmentasi Pelanggan Ritel Produk Farmasi Obat Menggunakan Metode Data Mining Klasterisasi Dengan Analisis Recency Frequency Monetary (RFM) Termodifikasi by Arief Wibowo, Andy Rio Handoko

“…The performance of the model is compared with the K-Medoids algorithm. The results of customer clustering in two categories using K-Medoids have a DBI value of 1,334. …”
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach by Lukas Zbinden, Samuel Erb, Damiano Catucci, Lars Doorenbos, Leona Hulbert, Annalisa Berzigotti, Michael Brönimann, Lukas Ebner, Andreas Christe, Verena Carola Obmann, Raphael Sznitman, Adrian Thomas Huber

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Waveform Information Accurate Extraction for Massive and Complex Waveform Data of Hyperspectral Lidar by Shuo Shi, Chengyu Gong, Qian Xu, Ao Wang, Xingtao Tang, Sifu Bi, Wei Gong

“…Its accuracy is remarkably high, with the ranging accuracy boosted by 98% compared with that of the single-channel algorithm.…”
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LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion by Hang Yu, Bingzong Liu, Lei Wang, Teng Li

“…Compared with other algorithm models, LD-Det can not only achieve lighter weight but also take into account the precision of ship target detection. …”
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LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”
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Crowd abnormal behavior detection based on motion similar entropy by Fei LI, Ken CHEN, Meng LI, Chunmei GUO

“…It is an important research content of graphic processing in the field of intelligent video surveillance to detect abnormal events.An algorithm based on entropy of motion similarity (EMS) to detect abnormal behavior was proposed.Based on the optical flow algorithm,taking the bottom flow block as the basic unit to get the scene motion information,according to the concept of social network model,the construction scene of the motion network model (MNM) was proposed,the division of the scene particles motion similarity was completed,and the distribution EMS of MNM was calculated in the time domain.Finally,the obtained image entropy was compared with the reasonable threshold,to determine whether abnormal behavior occured.Experimental results indicate that the proposed algo-rithm can detect abnormal behavior effectively and show promising performance while comparing with the state of the art methods.…”
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Event Camera Denoising Using Asynchronous Spatio-Temporal Event Denoising Neural Network by W. Wu, H. Yao, C. Zhai, Z. Dai, X. Zhu

“…Compared to conventional cameras, event cameras represent a noteworthy advancement in neuromorphic imaging technology, garnering considerable attention from researchers due to their distinct advantages. …”
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Educational Potential of Student-Generated Visuals for Learning English as a Second Language in the Age of Artificial Intelligence by Svitlana Mykytiuk, Olena Lysytska, Oleksandr Chastnyk, Serhii Mykytiuk

“…The algorithm for collaboration with AI and the work with specific features of AI-generated materials was applied aimed at making a student a critical consumer of this content and mitigating potential drawbacks of using AI. …”
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Dynamic Pricing Strategy for Data Product Through Deep Reinforcement Learning by Junxin Shen, Yashi Wang, Fanghao Xiao

“…Finally, the performance of traditional reinforcement learning algorithms, specifically Q-learning and SARSA, is compared. …”
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Multi-Level Asynchronous Robust State Estimation for Distribution Networks Considering Communication Delays by Xianglong Zhang, Ying Liu, Songlin Gu, Yuzhou Tian, Yifan Gao

“…With the hierarchical evolution of distribution network control architectures, distributed state estimation has become a focal point of research. To address communication delays arising from inter-level data exchanges, this paper proposes a multi-level, asynchronous, robust state estimation algorithm that accounts for such delays. …”
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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

“…Abstract Financial distress prediction (FDP) is a critical area of study for researchers, industry stakeholders, and regulatory authorities. …”
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MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

“…After that, we applied 15 ML algorithms for training and testing. Then, we compared the algorithms using criteria such as accuracy, Mean Squared Error (MSE), Root Mean Squared Error (RMSE), coefficient of determination (R²), Explained Variance (EV), and Tweedie Deviance Score (D²). …”
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Detection of the Pin Defects of Power Transmission Lines Based on Improved TPH-MobileNetv3 by Mengxuan Li, Jingshan Han, Zhi Yang, Bin Zhao, Peng Liu

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METHOD FOR ESTIMATING THE DOPPLER FACTOR OF A BROADBAND SIGNAL UNDER CONDITIONS OF MULTIPLICATIVE INTERFERENCE WITH UNKNOWN PROBABILITY DISTRIBUTION by Pavlo Kostenko, Mykyta Alonkyn, Valeriy Slobodyanuk, Mykhailo Rovetskii, Ivan Rovetskii

“…There was an investigated estimation quality of Doppler frequency by statistical modeling of the PSK signal, interference, and the objective function minimization algorithm. There was completed a comparative analysis of estimations of the signal`s Doppler frequency obtained by the proposed nonparametric method and the maximum likelihood method for different interference parameters. …”
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Multimodal identification of a rare head and neck cancer patient cohort in the clinical data warehouse of Greater Paris Teaching Hospital by A. La Rosa, M. Verdoux, P. Riebler, I. Lolli, C. Daniel, X. Tannier, S. Atallah, B. Baujat, E. Kempf

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Integrating Experimental Analysis and Gradient Boosting for the Durability Assessment of Lime-Based Mortar in Acidic Environment by Ali Taheri, Nima Azimi, Daniel V. Oliveira, Joaquim Tinoco, Paulo B. Lourenço

“…In the modeling phase, the extreme gradient boosting (XGBoost) algorithm was deployed to predict the mechanical properties of the lime-based mortar by 1000, 3000, and 5000 h of exposure. …”
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National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

“…The study was based on the analysis of normative and legal and other normative acts on higher education, the issues of standardization of higher education and the systematization of qualifications, as well as scientific developments on this issue. Methods of research – bibliographic, linguistic, contextual, substantive-legal, comparative-legal, generalization, description of results. …”
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Spectrum Intensity Ratio Detection for Frequency Domain Weak Measurement System by Yuxuan Yang, Yang Xu, Tian Guan, Lixuan Shi, Jinyu Li, Dongmei Li, Yonghong He, Xiangnan Wang, Zhangyan Li, Yanhong Ji

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