Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model by Wenda Zheng, Yibo Ai, Weidong Zhang

“…Experiments show that the method achieves stable performance, effectively detects occluded objects, and accurately extracts category and location information. (2) To improve classification stability in indoor scene recognition, this paper proposes a naive Bayes-based method. …”
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Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes by J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza

“…Through extensive simulated and real-world experiments, CCGP-GCE demonstrated superior classification performance, outperforming state-of-the-art multilabeler models in terms of both accuracy and expert reliability estimation. …”
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Nuclear Accidents: Consequences for Human, Society and Energy Sector by L. A. Bolshov, R. V. Arutyunyan, I. I. Linge, I. L. Abalkina

“…The development of regulations on criteria for the classification of radioactive waste and the issues of remediation of radioactively contaminated areas are discussed as the examples.…”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…In this study, a predictive maintenance (PdM) system focused on feature selection for the detection and classification of simulated defects in wind turbine blades has been developed. …”
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Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…This system ensures decentralized training across healthcare facilities, preserving data privacy while improving classification performance. The Monkeypox Skin Lesion Dataset (MSLD), consisting of 3192 augmented images, is utilized for training and testing. …”
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Towards AI-Assisted Mapmaking: Assessing the Capabilities of GPT-4o in Cartographic Design by Abdulkadir Memduhoğlu

“…The model showed proficiency in classification and symbolization tasks but occasionally deviated from theoretical expectations. …”
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An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity by Kamran Aziz, Feng Chen, Mahmood Ahmad, Muhammad Salman Khan, Mohanad Muayad Sabri Sabri, Hamad Almujibah

“…Abstract Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and the public. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

“…The high-resolution multispectral optical data can deliver essential spatial-spectral characteristics; however, these are typically impeded by unfavorable weather and obstructions, resulting in poor classification. Recent advancements in multisensor data fusion techniques have focused on integrating optical data with auxiliary synthetic aperture radar (SAR) data to mitigate misclassification issues. …”
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A.R. Luria's contribution to studies of the brain organization of language by A. Ardila, T. V. Akhutina, Yu. V. Mikadze

“…The paper discusses differences between these two books and also linguistic issues, which received much attention in his later publication. …”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…Compared to the AdamW and Lion optimizer, the loss and accuracy present the RLion can promote the classification validation accuracy about $$0 \sim +20\%$$ higher than AdamW on many models even the learning rate is as high as AdamW. …”
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Efficient Multi-Stage Self-Supervised Learning for Pathology Image Analysis via Masking by Ming Feng, Weiquan Huang, Liang Hu

“…We evaluated RHP’s performance on four downstream tasks, including patch classification, nucleus segmentation, gland segmentation, and whole slide image classification across eight public datasets. …”
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…Individual physiotherapy is crucial in treating patients with various pain and health issues, and significantly impacts abdominal surgical outcomes and further medical problems. …”
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The concept and structural elements of the system of personal empowerment rights of employees by I. M. Kravchenko

“…The scientific novelty of the publication is that the issue of systematization and/or classification of the employee's personal non-property rights has been comprehensively researched, taking into account the classes (types) of their types, in accordance with the requirements of national civil and labor legislation and according to scientific research.…”
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Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness by P. S. Serenkov, V. M. Romanchak, I. E. Pesliak

“…We have  proposed  a  classification  of  situations  of  robustness  losses  in  production  processes in accordance with the classification of the signs of incorrect tasks by J. …”
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Transformative bioprinting: 4D printing and its role in the evolution of engineering and personalized medicine by Vidhi Mathur, Prachi Agarwal, Meghana Kasturi, S. Varadharajan, Elsa Sanatombi Devi, Kirthanashri S. Vasanthan

“…Section 4 shifts focus to commercial advancements, presenting a classification of 4D bioprinters available in the market. …”
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Land surface temperature assessment in relation to land-use/land-cover (A case study: Isfahan City, Central Iran) by Sayyad Asghari Saraskanrood, Bahareh Asadi, Ehsan Ghale

“…Most of critical issues such as increase in pollution levels, sudden climatic changes and the rise of temperature in the urban area, leading to the formation of Urban Heat Islands (UHI), have been resulted from urbanization. …”
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Prediction of 123I-FP-CIT SPECT Results from First Acquired Projections Using Artificial Intelligence by Wadi’ Othmani, Arthur Coste, Dimitri Papathanassiou, David Morland

“…It could be particularly useful in patients with compliance issues. Confirmation with images from other centers will be necessary.…”
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An Integrated Framework for Ergonomic Performance Assessment in Food Manufacturing: A Case Study Using Ergo-VSM, AHP, and TLS by Tyas Yuli Rosiani, Meng-Hua Li, Dewi Rahmasari

“…Based on a three-tier classification system low (<60%), moderate (60–90%), and high (>90%) this score falls within the moderate category, indicating several areas require improvement. …”
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A double-layer ensemble framework for rubber plantation mapping using multi-source data in the google earth engine: a case study of the southwestern border region of China by Hui Wang, Jie Li, Jinliang Wang, Yuncheng Deng, Shupeng Gao, Jing Zou, An Chen, Haichao Xu

“…To address these issues, we propose a double-layer ensemble framework for rubber plantation extraction using multi-source data in the Google Earth Engine. …”
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Evaluation of predictive maintenance efficiency with the comparison of machine learning models in machining production process in brake industry by Can Aydın, Burak Evrentuğ

“…Comprehensive examination and analysis of data were conducted to understand the symptoms and relationships of machine failures. ML classification methods were employed in the relevant study. …”
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