Volga-Finnic Dialects in the Historical Merya Lands According to Toponymic Data. Linguistic Calques. I by Oleg Vitalyevich Smirnov

“…The first part of the article demonstrates examples and the importance of detecting cases of calquing for the formation of an initial set of reliable etymologies. …”
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Assessment of agricultural drought severity using multi-temporal remote sensing data in Lorestan region by M. Ghobadi, Z. Badehian

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Power distribution and forecasting using a probabilistic and systematic data processing model for renewable resources by Hammad Alnuman, Ghulam Abbas, Amr Yousef

“…To provide a robust and trustworthy assessment, we validate our results using the Smart Grid Data set from the ARRA projects dataset. Comparing PSPM to current methods, empirical data show that it improves forecast success rate by 20%, increases distribution efficiency by 25%, and reduces analytical latency by 35%. …”
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A curated crowdsourced dataset of Luganda and Swahili speech for text-to-speech synthesisMendeley Data by Andrew Katumba, Sulaiman Kagumire, Joyce Nakatumba-Nabende, John Quinn, Sudi Murindanyi

“…This data article describes a curated, crowdsourced speech dataset in Luganda and Kiswahili, created to support text-to-speech (TTS) development in low-resource settings. …”
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Optimal graph representations and neural networks for multichannel time series data in seizure phase classification by Alan A. Díaz-Montiel, Richard Zhang, Milad Lankarany

“…Moreover, we conducted an analysis of graph neural networks (GNN), a paradigm of artificial neural networks optimized to operate on graph-structured data, as a framework to classify seizure phases (preictal vs. ictal vs. postictal) from intracranial electroencephalographic (iEEG) data. …”
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Prognostic Survival Analysis for AD Diagnosis and Progression Using MRI Data: An AI-Based Approach by T. Deenadayalan, S. P. Shantharajah

“…Future work will focus on integrating longitudinal data, exploring time-dependent co-variates, and enhancing explainability to promote adoption in diverse clinical settings. …”
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FPGA Implementation of Multilayer Perceptron for Real-Time Detection of Power Quality Disturbances for Electric Vehicle Charger by Luis-Fernando Gaona-Cárdenas, Nimrod Vazquez, Leonel Estrada, Elyas Zamiri, Angel de Castro, Sergio Pinto

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Fault detection of key parts of wind turbine based on BP neural network combination prediction model by Jingjing Zhang, Liming Liu, Lei Wang, Wei Xi

“…By contrasting the data videotaped prior to and after the failing and making the information prediction analysis, the speculative results show that the forecast model established in this paper is viable for the device element fault detection.…”
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Proper Global Shared Preference Detection Based on Golden Section and Genetic Algorithm for Affinity Propagation Clustering by Libin Jiao, Rongfang Bie, Guangzhi Zhang, Shenling Wang, Rashid Mehmood

“…Finally, satisfactory experiments using one simulation data set and eight benchmark data sets are performed to verify the effectiveness of the proposed algorithm. …”
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Research on Damage Detection Methods for Concrete Beams Based on Ground Penetrating Radar and Convolutional Neural Networks by Ning Liu, Ya Ge, Xin Bai, Zi Zhang, Yuhao Shangguan, Yan Li

“…Ground penetrating radar (GPR) is a mature and important research method in the field of structural non-destructive testing. However, when the detection target scale is small and the amount of data collected is limited, it poses a serious challenge for this research method. …”
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Joint simplification of various types spatial objects while preserving topological relationships by Olga P. Yakimova, Dmitriy M. Murin, Vladislav G. Gorshkov

“…The topological relations of spatial features also play an important role in spatial data organization, queries, updates, and quality control. …”
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Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology by Peng Xiao, Lina Zhang, Ying Yan, Zhenhong Zhang

“…By introducing knowledge graph information and combining word embedding with knowledge embedding, named entities are automatically identified from the preprocessed vulnerability data set. While adopting the joint embedding technology, we can integrate the word embedding and knowledge embedding more effectively, introducing an attention mechanism to enhance the weight of key information. …”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli, Rani Kumari, Adnan Akhunzada, Korhan Cengiz, Santosh Kumar Sharma, Rakesh Ranjan Kumar, Dinesh Kumar Sah

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PyMerger: Detecting Binary Black Hole Mergers from the Einstein Telescope Using Deep Learning by Wathela Alhassan, T. Bulik, M. Suchenek

“…The ResNet model is evaluated on the first ET mock data challenge (ET-MDC1) data set, where the model demonstrates strong performance in detecting BBH mergers, identifying 5566 out of 6578 BBH events, with optimal SNRs starting from 1.2 and a minimum and maximum D _L of 0.5 Gpc and 148.95 Gpc, respectively. …”
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Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning by Muhammad Umar Nasir, Muhammad Zubair, Muhammad Tahir Naseem, Tariq Shahzad, Ahmed Saeed, Khan Muhammad Adnan, Amir H. Gandomi

“…These models indicate that they can offer significant support in detecting thalassemia in resource-constrained settings such as Pakistan. …”
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RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning by Yu Zhao, Yifang Ban

“…A deep-learning-based processing pipeline incorporating ConvNet-based and Transformer-based models is applied for burned area mapping, with three different input settings: using only log-ratio dual-polarisation intensity images, using only compact-pol decomposition plus CpRVI, and using all three data sources. …”
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The Statistical Detecting of Sulfur Hexafluoride and Nitrous Oxide Effect on Seasonal Rainfalls in Iran During Recent Decade by Yosef Ghavidel Rahimi, Maysam Tolabi Nejad, Manochehr Farajzadeh

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Research on airport baggage anomaly retention detection technology based on machine vision, edge computing, and blockchain by Yuzhou Chen, Gang Mao, Xue Yang, Mingqian Du, Hongqing Song

“…A model trained on a sample set of 4600 images achieved a luggage recognition rate of 96.9% and an anomaly detection rate of 95.8% in simulated test videos.…”
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Objective monitoring of Insecticide-treated bednet use to improve malaria prevention: SmartNet development and validation. by Paul J Krezanoski, Jeffrey I Campbell, Data Santorino, David R Bangsberg

“…The device recorded data for 63.1% (35172/55711) of installed two-minute time intervals, with 97.3% (19990/20539) of the recording errors relating to battery failures. …”
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Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference by Xiaobing Wang, Xu Weng, Zhuangzhuang Zhao, Yu Hu, Tianzhen Wang, Xiaobin Xu, Jianning Li

“…Finally， using the measured torque data to verify the proposed method， it shows that the designed BRB fault detection method can largely replace the maintenance engineer to realize the automatic detection of the faults.…”
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