Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data by Ahmed Imtiaz, Fahad Bin Islam Swapnil, Syed Rayhan Masud, Debajyoti Karmaker

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Data analysis in complex biomolecular systems by M. M. Yatskou, V. V. Apanasovich

“…The priority task is the development of promising computational tools for the analysis and interpretation of biophysical information using the methods of big data and computer models. …”
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Task-Ready PanNuke and NuCLS Datasets: Reorganization, Synthetic Data Generation, and Experimental Evaluation by Sai Chandana Koganti, Siri Yellu, Jihoon Yun, Sanghoon Lee

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Optimizing Fire Scene Analysis: Hybrid Convolutional Neural Network Model Leveraging Multiscale Feature and Attention Mechanisms by Shakhnoza Muksimova, Sabina Umirzakova, Mirjamol Abdullaev, Young-Im Cho

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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

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Abstractive Text Summarization in Arabic-Like Script Using Multi-Encoder Architecture and Semantic Extraction Techniques by Wajiha Fatima, Syed Saqib Raza Rizvi, Taher M. Ghazal, Qasem M. Kharma, Munir Ahmad, Sagheer Abbas, Muhammad Furqan, Khan Muhammad Adnan

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Modern trends in the formation of economic and organizational foundations for the construction and development of the digital economy in the Republic of Kazakhstan by Y. Beisembay, T. Y. Ernazarov

“…The assessment of the direct contribution of digitalization processes to the GDP of the Republic of Kazakhstan and economic growth was also carried out. …”
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The use of advanced e-technologies in state governance by L. N. Alekseeva

“…Principle opportunities of using e-technologies, big data and artificial intellect in state governance were studied. Prospects of processing the natural language by computers and building smart cities were described. …”
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Recall Mechanism and Multi-Head Attention for Numerical Reasoning by Linjia Lai, Tien-Ping Tan, Bocan Zeng

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AdaGram in Python: An AI Framework for Multi-Sense Embedding in Text and Scientific Formulas by Arun Josephraj Arokiaraj, Samah Ibrahim, André Then, Bashar Ibrahim, Stephan Peter

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Fractional time delay estimation algorithm based on the fractional lower order moment by LIU Wen-hong1, 2, QIU Tian-shuang1, HU Ting-ting1, LUAN Lian-yi3

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Fractional time delay estimation algorithm based on the fractional lower order moment by LIU Wen-hong1, 2, QIU Tian-shuang1, HU Ting-ting1, LUAN Lian-yi3

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Water Classification Using Convolutional Neural Network by Saira Asghar, Ghulam Gilanie, Mubbashar Saddique, Hafeez Ullah, Heba G. Mohamed, Irshad Ahmed Abbasi, Mohamed Abbas

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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…Timely trajectory planning is essential, as it relies on preoperative CT imaging. Prolonged processing times increase the risk of patient movement, rendering the planned path invalid. …”
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Offline Signature Biometric Verification with Length Normalization using Convolution Neural Network by Zahraa Mazin Alkattan, Ghada Mohammad Tahir Aldabagh

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Application of Convolutional Neural Networks in an Automatic Judgment System for Tooth Impaction Based on Dental Panoramic Radiography by Ya-Yun Huang, Yi-Cheng Mao, Tsung-Yi Chen, Chiung-An Chen, Shih-Lun Chen, Yu-Jui Huang, Chun-Han Chen, Jun-Kai Chen, Wei-Chen Tu, Patricia Angela R. Abu

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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…In this study, we benchmark another two widely utilized graph processing systems, Apache Spark GraphX and Apache Fink, concerning the key performance criterion by means of response time, scalability, and computational complexity. …”
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Micro-X-ray-CT for analysis of particle size segregation during powder spreading in Binder Jet Printing by Julia G. Behnsen, Joseph W. Roberts, Oliver J. Rogan, James M. McArdle, Kate Black

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First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

“…The number of recognized words was 549±174,9 vs 522,4±215,6 (p=0,5), critical errors in words — 2,1±1,6 vs 4,4±2,8 (p<0,001), non-critical errors — 10,3±4,3 vs 5,6±3,3 (p<0,001) for RuPatient HIS and optical character recognition application for a personal computer, respectively.Conclusion. The developed RuPatient HIS, which includes a module for recognizing medical records and entering data into the corresponding fields, significantly increases the document management efficiency with high quality of optical character recognition based on neural network technologies and the automation of filling process.…”
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Headline-Guided Extractive Summarization for Thai News Articles by Pimpitchaya Kositcharoensuk, Nakarin Sritrakool, Ploy N. Pratanwanich

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