Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP by YaFeng Li, XinGang Xu, WenBiao Wu, Yaohui Zhu, LuTao Gao, XiangTai Jiang, Yang Meng, GuiJun Yang, HanYu Xue

“…It was shown that SNV-based processed hyperspectral data combined with GA-BP has great potential for efficient chlorophyll monitoring in grapevine. …”
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Functional Diagnostic System for Multichannel Mine Lifting Machine Working in Factor Cluster Analysis Mode by Zimovets V. I., Shamatrin S. V., Olada D. E., Kalashnykova N. I.

“…In the article, information synthesis of FDS is performed within the framework of information-extreme intellectual data analysis technology, which is based on maximizing the information capacity of the system in the process of machine learning. The idea of factor cluster analysis was realized by forming an additional training matrix of unclassified vectors of features of a new recognition class obtained during the operation of the FDS directly in the operating mode. …”
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Supervised Sentiment Analysis of Indirect Qualitative Student Feedback for Unbiased Opinion Mining by Smitha Bidadi Anjan Prasad, Raja Praveen Kumar Nakka

“…The vectorized data are then processed using various machine learning algorithms to classify the polarity of tweets. …”
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Non-destructive detection of pre-incubated chicken egg fertility using hyperspectral imaging and machine learning by Md Wadud Ahmed, Asher Sprigler, Jason Lee Emmert, Ryan N Dilger, Girish Chowdhary, Mohammed Kamruzzaman

“…Different spectral pre-processing and important feature selection methods were assessed for robust prediction model development. …”
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Gender Classification From Pashto Handwritten Text Images by Khan Sultan, Riaz Ahmad, Siraj Muhammad, Sulaiman Almutairi, Mohammed Abohashrh, Khalil Ullah, Abdallah Namoun, Ibrar Hussain

“…Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. It combines image processing, analysis, and machine learning to extract meaningful insights from images and videos. …”
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Versatile tethering system to control cell-specific targeting of bioengineered extracellular vesicles by Sheryl Bui, Jeanne Lainé, Maud Chevé, Stéphane Vassilopoulos, Gregory Lavieu

“…Abstract Extracellular Vesicles (EVs) are natural communication vectors involved in many physiological processes. …”
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The Scientific Journal "Vestnik of the Medical Institute "REAVIZ": History, Challenges, and Perspectives by V. N. Shabalin, N. A. Lysov, O. N. Pavlova, A. A. Supil'nikov, E. A. Samsonova, E. Yu. Anosova, B. I. Yaremin

“…Overall, attention is paid to the systematic correction of the main vectors of improving editorial policy in accordance with the best international practices of publishing scientific journals, issues of improving the quality of published materials, deepening the review processes and strict selection of articles for publication, attracting authors from various regions of Russia and foreign countries, analyzing the prospects for developing the practice of publishing accompanying digital data and resources along with textual materials, increasing citation and indexing of the journal in authoritative databases, as well as promoting an open access policy. …”
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Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial Images [version 2; peer review: 2... by Srikanth Prabhu, Vinod Nayak, Aparna Jayakala, Krishna Prakasha K, Gangothri Sanil

“…Background In computer vision and image processing, face recognition is increasingly popular field of research that identifies similar faces in a picture and assigns a suitable label. …”
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Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review by Avneet Kaur, Gurjit S. Randhawa, Farhat Abbas, Mumtaz Ali, Travis J. Esau, Aitazaz A. Farooque, Rajandeep Singh

“…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …”
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A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud by Dan Pan, Baijing Liu, Lin Luo, An Zeng, Yuting Zhou, Kaixin Pan, Zhiheng Xian, Yulun Xian, Yulun Xian, Licheng Liu

“…Also, the dual-task framework employs Multi-Value Conditional Random Field (MV-CRF) to enable semantic segmentation of stem-leaf and individual leaf identification through the DSN architecture when processing manually-annotated 3D point cloud data. The network features a dual-branch architecture: one branch predicts the semantic class of each point, while the other embeds points into a high-dimensional vector space for instance clustering. …”
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Tumor infection with human herpes viruses and features of peripheral blood lymphocyte subset composition in patients with uveal melanoma by Elena V. Svetlova, N. V. Balatskaya, I. G. Kulikova, S. V. Saakyan, I. V. Svirina, A. E. Andryushin, E. B. Myakoshina

“…Commercial test-systems of “Vector-Best” (Russia) were used for rt-PCR staging. …”
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Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model by Muhammad Akram Ab Kadir, Rosliza Abdul Manaf, Siti Aisah Mokhtar, Luthffi Idzhar Ismail

“…Satellite-derived rainfall and land surface temperature (LST) data were acquired from NASA’s Giovanni EarthData website and processed into monthly averages. These data were integrated into ArcGIS Pro as thematic layers. …”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Impulse response and variance decomposition confirm the transmission of price shocks across states, reinforcing their interdependence.ConclusionTo enhance black gram production and market stability, investments in high-yielding and climate-resilient varieties, improved storage, transportation, and processing infrastructure are essential. Strengthening market information systems, refining procurement mechanisms, and expanding digital platforms like e-NAM can improve price discovery and farmer participation. …”
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Artificial intelligence tools for engagement prediction in neuromotor disorder patients during rehabilitation by Simone Costantini, Anna Falivene, Mattia Chiappini, Giorgia Malerba, Carla Dei, Silvia Bellazzecca, Fabio A. Storm, Giuseppe Andreoni, Emilia Ambrosini, Emilia Biffi

“…Patient’s HRV and EDA physiological signals were processed from raw data collected with the Empatica E4 wristband, and 33 features were extracted from the conditioned signals. …”
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Electrical and viscoelastic parameters of erythrocytes as predictors of exacerbation in inflammatory bowel diseases by M. V. Kruchinina, I. O. Svetlova, A. V. Azgaldyan, A. A. Gromov, V. M. Generalov, I. N. Yakovina, A. A. Shestov

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Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, E. D. Emtseva, A. A. Vishnevskiy

“…The clinical and functional status of patients before CAG was assessed including 29 parameters. For data processing and analysis, the Mann-Whitney, Fisher, chi-squared tests and univariate logistic regression (LR) were used. …”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…In questionnaire development, natural language processing using generative models such as ChatGPT was used to construct culturally competent scales. …”
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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on R... by Ronghao Li, Shuai Mao, Congmin Zhu, Yingliang Yang, Chunting Tan, Li Li, Xiangdong Mu, Honglei Liu, Yuqing Yang

“… Abstract BackgroundThe rapid advancements in natural language processing, particularly the development of large language models (LLMs), have opened new avenues for managing complex clinical text data. …”
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Defending Data Poisoning Attack Through Watermarked Friendly Noise Luminosity Activated Dense Layered UNet for Classification of Lung Disease by M. Shyamala Devi, S. Priya

“…The image intensity ratio observed to be high with Luminous Masked Chest X-Ray Vector (LMC) image. To address the data poisoning attack towards security countermeasure, the LMC images are processed to form Watermarked Friendly Poison LMC (WFLMC) image by the proposed Watermarked Friendly Noise Luminosity Activated Dense U-Net (WFLDU-Net) model. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…This tool is aimed at processing and classifying three-dimensional samples of endemic lizard species from the Amazon rainforest. …”
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