Generalization in context sensitive grammars by Andrzej PLUCIŃSKI

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Redaktion von Babylonia by Editorial team of Babylonia, Redaktion von Babylonia, Rédaction de Babylonia, Redazione di Babylonia

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Sub-Pixel Displacement Measurement with Swin Transformer: A Three-Level Classification Approach by Yongxing Lin, Xiaoyan Xu, Zhixin Tie

Subjects: “…digital speckle correlation method…”
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Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation by ZALL, R., KEYVANPOUR, M. R.

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Evaluation of Weed Infestations in Row Crops Using Aerial RGB Imaging and Deep Learning by Plamena D. Nikolova, Boris I. Evstatiev, Atanas Z. Atanasov, Asparuh I. Atanasov

“…Using non-contact detection methods allows for a rapid assessment of weed infestations’ extent and management decisions for practical weed control. …”
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Sea Surface Temperature Prediction Based on Spatio-Temporal Graph Contrastive Learning Network by Weihan Dai, Xiaoyu He, Xiulin Geng, Shuai Zhang, Ziheng Gao

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Forms of Cooperative Learning in Language Teaching in Slovenian Language Classes at the Primary School Level by Alenka Rot Vrhovec

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Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods by Huaguang Li, Ali B.M. Ali, Rasha Abed Hussein, Narinderjit Singh Sawaran Singh, Barno Abdullaeva, Zubair Ahmad, Soheil Salahshour, Mohammadreza Baghoolizadeh, Mostafa Pirmoradian

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Explainable AI supported hybrid deep learnig method for layer 2 intrusion detection by Ilhan Firat Kilincer

“…In the last part of the study, the effect of the features in the CL2-IDS dataset on the classification is interpreted with SHapley Additive exPlanations (SHAP), an Explainable Artificial Intelligence (XAI) method. The study, CL2-IDS dataset and hybrid DL model, combinations of CNN and Bi-LSTM algorithms, facilitates the intrusion detection and exemplifies how DL models and XAI techniques can be used to support IDS systems.…”
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An automatic and unsupervised image mask acquisition method based on generative adversarial networks by Hao Wu, Yulong Liu, Jiankang Yang

“…Since it is very labour intensive to acquire the image masks needed for deep learning (e.g. in semantic segmentation tasks) via manual labelling, we propose a method that utilize a generative adversarial network to obtain image masks automatically. …”
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Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

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Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images by Jeremiah M. Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, Mario Costa Cruz, Aleksander Kralovec, Shirsa Udgata, Alexa Schmitz, Dustin A. Deming, Beth A. Cimini, Melissa C. Skala

“…Overall, the Cellpose ATM provides a fast, reliable, reproducible, and accurate method to segment single cells in autofluorescence microscopy images such that functional changes in cells are accurately captured in both 2D and 3D culture.…”
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TMAC: a Transformer-based partially observable multi-agent communication method by Xuesi Li, Shuai Xue, Ziming He, Haobin Shi

“…Within the realm of multi-agent reinforcement learning, agents have the ability to share information with one another through communication channels, leading to enhanced learning outcomes and successful goal attainment. …”
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The effects of flipped classroom and jigsaw teaching strategies on learning, retention of course content, and satisfaction among nursing students: a quasi-experimental study by Alireza khodadadeh, Mozhgan Rivaz, Camellia Torabizadeh

Subjects: “…Jigsaw teaching method…”
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Enhanced Milne-Simpson's methods for autonomous and singular differential equations by Ajimot Folasade Adebisi, Saheed Aremu, Muideen Ogunniran, Kamiludeen Tijani, Adewole Ajileye

“…Solving autonomous and singular differential equations remains a persistent challenge for traditional numerical methods due to the presence of critical points and singularities that degrade solution accuracy. …”
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Research on Risk Quantification Methods for Connected Autonomous Vehicles Based on CNN-LSTM by Kedong Wang, Dayi Qu, Dedong Shao, Liangshuai Wei, Zhi Zhang

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ATTITUDES OF FUTURE DENTISTS TOWARDS DIFFERENT TEACHING METHODS IN PAEDIATRIC THERAPEUTIC DENTISTRY by L.F. Kaskova, N.V. Yanko, I.Yu. Vashchenko, S.Ch. Novikova, O.Yu. Andriianova

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Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance by Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica

“…Inadequate handling of missing values can compromise the performance and interpretability of machine learning (ML) models. This study aimed to systematically compare the impacts of five imputation methods on classification performance using multimodal data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). …”
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Underutilized Feature Extraction Methods for Burn Severity Mapping: A Comprehensive Evaluation by Linh Nguyen Van, Giha Lee

“…The study contributes to the existing literature by providing a comprehensive comparison of FE methods, highlighting the potential benefits of underutilized techniques in BSM.…”
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Internal medicine clerks’ motivation in an online course: a mixed-methods study by Esther C. Hamoen, Floris M. van Blankenstein, Peter G.M. de Jong, Kirsten Langeveld, Marlies E.J. Reinders

“…This study investigates the impact of the SPOC and its specific assignments on student motivation.Methods The study uses a mixed-methods approach. The authors describe a quantitative analysis of students’ responses on an intrinsic motivation inventory (IMI), and a qualitative thematic analysis of semi-structured group interviews, respectively.Results Seventy-eight students (response rate 42%) filled out the IMI. …”
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