Drought monitoring of large lakes in Iraq using remote sensing images and normalized difference water index (NDWI) by Mohammed R. Mahmood, Baydaa Ismail Abrahem, Huda J. Jumaah, Hayder A. Alalwan, Malik M. Mohammed

“…The research uses image processing techniques to calculate surface water area with its changes for three essential lakes in Iraq (Haditha, Therthar, and Razzazah) during two time periods from 1987 to 2000, and from 2000 to 2014. …”
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A rolling bearing fault diagnosis method based on GADF-CWT-GCNN by ZHANG Xiaoli, LUO Xin, LI Min, LIANG Wang, WANG Fangzhen

“…The results show that the generalization ability of the data processing method and the model built in this paper in the small-sample environment is much higher than that of other network models such as the small vector machine and the 1D-CNN. …”
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Resolution enhancement of scanning electron micrographs using artificial intelligence by T. Reclik, S. Medghalchi, P. Schumacher, M.A. Wollenweber, T. Al-Samman, S. Korte-Kerzel, U. Kerzel

“…Suitable reference images are selected using vector embeddings and processed by a texture-transformer network. …”
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Missing Data Interpolation of Alzheimer’s Disease Based on Column-by-Column Mixed Mode by Shi-di Miao, Si-qi Li, Xu-yang Zheng, Rui-tao Wang, Jing Li, Si-si Ding, Jun-feng Ma

“…In addition, in the processing of missing data, a combination of deletion method and interpolation method is adopted with reference to expert knowledge. …”
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry by Yangguang Han, Qifeng Li, Pengpeng Sun, Xiangyun Ma, Yunpeng Yang, Ning Zhang, Jingwen Feng, Yu Sa

“…However, MDIFC is still hindered by challenges related to limited accuracy, processing speed, and a lack of automation. To address this, we propose a novel approach that integrates image fusion techniques with a deep learning-based classification algorithm. …”
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A genetic algorithm to generate maximally orthogonal frames in complex space by Sebastián Roca-Jerat, Juan Román-Roche

“…A frame is a generalization of a basis of a vector space to a redundant overspanning set whose vectors are linearly dependent. …”
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Phage therapy in antibiotic resistant pneumonia: immunomodulation or redistribution? by S. S. Bochkareva, I. M. Fedorova, O. N. Ershova, S. I. Koteleva, I. V. Kapustin, M. S. Blyakher, L. I. Novikova, A. V. Aleshkin, А. М. Vorobev

“…Statistical processing of the results was carried out using the Statistica 6 program according to the nonparametric Mann-Whitney U-test. …”
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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…Traditional models show better results and efficiency in processing short, concise text, with SVM in classifying sentiment of short length comments. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

“…Immature oocytes were recorded as they passed through a custom-designed microfluidic channel under controlled flow. Using image processing, two biomechanical features—Cortical Tension (CT) and Deformation Index (DI)—were extracted. …”
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Infrared Small Target Detection Using Directional Derivative Correlation Filtering and a Relative Intensity Contrast Measure by Feng Xie, Dongsheng Yang, Yao Yang, Tao Wang, Kai Zhang

“…The final detection step involves fusing the DDCF and LRICM maps to generate a comprehensive saliency representation, which is then processed using an adaptive thresholding technique to extract small targets accurately. …”
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Multi-Modal Feature Set-Based Detection of Freezing of Gait in Parkinson’s Disease Patients Using SVM by Ghulam Murtaza, Mohammed Hammoud, Andrey Somov

“…First, the data were pre-processed and segmented into 3-second windows with 90% overlap. …”
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Benchmarking the Mapping of Address and Port With Encapsulation Border Relay Routers by Ahmed Al-Hamadani, Gabor Lencse

“…The research work presented in this paper involves conducting comprehensive benchmarking for the MAP-E BR implementation of the FD.io Vector Packet Processing (VPP), a well-known high-performance open-source networking software, and analyzing its performance and scalability, using two different test systems. …”
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The Level of IgG to Coronavirus Infection among the Medical Institution Employees by M. A. Yunusova, E. S. Lutsenko, N. N. Tsapkova, A. Yu. Brazhnikov, T. S. Saltykova, V. S. Yudina

“…Antibodies were examined by ELISA; immunological method for determining IgG (test system – "Vector Best", semi-quantitative analysis). Statistical processing of the study results was carried out using the SPSS-22 statistical software package and the OpenEpiver statistical calculator. 3.Results and discussion. …”
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ATTRIBUTION OF MEDIA TEXTS BASED ON A TRAINED NATURAL LANGUAGE MODEL AND LINGUISTIC ASSESSMENT OF IDENTIFICATION QUALITY by Vladimir A. Klyachin, Ekaterina V. Khizhnyakova

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Using Supervised Machine Learning Algorithms to Predict Bovine Leukemia Virus Seropositivity in Florida Beef Cattle: A 10‐Year Retrospective Study by Ameer A. Megahed, Y. Reddy Bommineni, Michael Short, João H. J. Bittar

“…The RF model showed that BLV seropositivity can be best predicted by testing beef cows during the dry season, which mostly coincides with the pre‐calving processing and calving seasons, particularly for cattle raised in southern Florida. …”
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

“…The data was detrended, processed into weather indices, and split into 70% for training and 30% for testing. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…Investigate the effectiveness and performance of several algorithms, such as the flexible k-nearest neighbor, the sturdy support vector machine (SVM), and the complex convolutional neural networks (CNNs), advanced techniques for automated skin disease detection encompass deep learning methods such as recurrent neural networks (RNNs) for sequential data processing, generative adversarial networks (GANs) for generating synthetic data, and attention mechanisms for focusing on relevant image regions by means of a thorough examination of the most recent studies. …”
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Automatic Detection of Laparoscopic Videos Distortion Using Machine Learning Classification by Mohamed Belmokeddem, Kamila Khemis, Salim Loudjedi

“…The method exhibits high performance, excelling in both accuracy and processing speed. Notably, the method's advantage lies in its simplicity and the fact that it does not necessitate high-performance computer hardware. …”
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Research on digital matching methods integrating user intent and patent technology characteristics by Jianwei Yang, Yi Wang, Bonan Zang, Min Peng, George Torrens

“…Second, based on the characteristics of patent texts, an N-V-N structure (noun-verb-noun) is constructed, and Natural Language Processing (NLP) technology is used to extract patent technical features. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Convolutional Neural Networks are used to extract spatial features from agricultural data, while Long Short-Term Memory networks processed time series data. To enhance model performance, the slime mould algorithm is employed for parameter optimization. …”
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