Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models by Imran Said, Vasit Sagan, Kyle T. Peterson, Haireti Alifu, Abuduwanli Maiwulanjiang, Abby Stylianou, Omar Al Akkad, Supria Sarkar, Noor Al Shakarji

“…Convolutional neural networks (CNNs) with attention mechanisms were proposed along with traditional machine learning models based on feature engineering including Random Forest (RF) and Support Vector Machine (SVM) regression for comparative analysis. …”
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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

“…Machine learning algorithms, including support vector machine (SVM), Random Forest (RF), and light gradient boosting machine (LGBM) were employed to develop predictive models for leptospirosis hotspot areas. …”
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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…These methodologies contributed substantial net benefits to clinical decision-making processes. A novel interpretable DL model and nomogram were developed and validated using EUS images, cooperating with machine learning algorithms. …”
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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

“…Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.ResultsThe findings indicate that black gram production and price dynamics are influenced by multiple factors. …”
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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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Optimal Vibration Fields in Problems of Modeling Dynamic States of Technical Objects by A. V. Eliseev, N. K. Kuznetsov

“…Vibration interaction control is timely in production processes related to liquid and bulk media, systems of solids experiencing kinematic or force disturbances. …”
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Physical Activity as a Factor to Improve the Quality of Student Life by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova, V. L. Kraynik, E. V. Romanova

“…In order to prevent the negative consequences of these processes in terms of health preservation and improvement of the situation, it is necessary to identify and follow the trends in young people’s quality of life concerning their physical activity, which is an important condition for harmonious development, especially during the period of youth ontogenesis.The aims of the present research were the following: to study the indicators of well-being of senior students of technical specialties and to determine the vector of changes in graduates’ quality of life depending on the degree of their motor activity.Material and research methods. …”
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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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Cross-Context Stress Detection: Evaluating Machine Learning Models on Heterogeneous Stress Scenarios Using EEG Signals by Omneya Attallah, Mona Mamdouh, Ahmad Al-Kabbany

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A Highly Birefringent and Nonlinear AsSe<inline-formula><tex-math notation="LaTeX">$_2$</tex-math></inline-formula>&#x2013;As<inline-formula><tex-math notation="LaTeX">$_2$</tex-ma... by Tianyu Yang, Can Ding, Y. Jay Guo

“…The proposed hybrid PCF exhibits excellent polarization maintaining and the nonlinearity performance, thus, suitable to be used in supercontinuum spectrum generation and polarization maintaining nonlinear signal processing.…”
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Non-Renewable and Renewable Exergy Costs of Water Electrolysis in Hydrogen Production by Alessandro Lima, Jorge Torrubia, Alicia Valero, Antonio Valero

“…This fuel emerges as the most environmentally sustainable energy vector for non-electric applications and is devoid of CO₂ emissions. …”
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Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

“…Using dimensional analysis, key factors are transformed into dimensionless numbers, which are then input into models integrating least squares support vector machine (LSSVM) with genetic algorithm (GA), particle swarm optimization (PSO), and a hybrid GA-PSO (HGAPSO). …”
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