Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…Additionally, irregularities in the growth pattern of the fruiting pedicels further complicate precise picking point localization, thus impacting harvesting efficiency. Moreover, the fruit stalks being too short or slender poses an obstacle, rendering it impossible for the depth camera to accurately obtain depth information during depth value acquisition. …”
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A comprehensive review-current development in spectroscopic and chromatographic techniques for natural product analysis by Abraham Dilnesa Gashaw, Mekonnen Abebayehu Desta, Estifanos Ele Yaya

“…Current research on plant secondary metabolites is limited by low detection sensitivity, incomplete spectral databases, and challenges in separating complex mixtures. …”
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Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…It is noted that the use of AI increases the productivity and efficiency of the analyst’s work when searching for information, analyzing it, summarizing, ranking, visualizing, building scenarios, making plans, etc. …”
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Opportunities, challenges, and interventions for agriculture 4.0 adoption by Shanmugam Vijayakumar, Varunseelan Murugaiyan, S. Ilakkiya, Virender Kumar, Raman Meenakshi Sundaram, Rapolu Mahender Kumar

“…It automates farm operations, enhances crop yield, food quality, safety, traceability, resource use efficiency, early issue detection, and minimises waste. …”
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Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

“…To address the shortcomings of current basketball teaching methods, which rely heavily on human experience, have low teaching efficiency, and make personalized feedback difficult to achieve, the intelligent recognition of technical actions has become an important development direction in teaching informatics. …”
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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Experimental results on benchmark datasets demonstrate that DVVG not only enhances VAE performance but also improves efficiency in modeling complex latent distributions. …”
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The role of a national evaluation system in promoting dairy sustainability* by Asha M. Miles, Kristen L. Parker Gaddis, John B. Cole, Robert H. Fourdraine

“…The dairy industry has achieved tremendous gains in productive efficiency following decades of work with these goals in mind. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Social networks are complex and dynamic data structures whose analysis holds significant importance. …”
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Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…A fast diagnostic method based on Boosting and big data is proposed to address the low accuracy and efficiency of fault diagnosis in new energy vehicle power batteries. …”
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Enhancing Vegetation Mapping in Mexico through Artificial Intelligence and Remote Sensing Techniques by R. Orozco Gálvez, H. Ramos Ramos, J. C. Camacho Pérez, J. L. Ornelas de Anda, C. M. López López, A. K. Ahedo Díaz

“…This remarkable ecological variety is influenced by the country’s complex topography, diverse climates, and varying soil conditions. …”
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Chip-Scale Aptamer Sandwich Assay Using Optical Waveguide-Assisted Surface-Enhanced Raman Spectroscopy by Megan Makela, Dandan Tu, Zhihai Lin, Gerard Coté, Pao Tai Lin

“…The Raman signals from Raman reporter (RR) molecules on NPs can be efficiently excited by the waveguide evanescent field when the molecules are in proximity to the waveguide surface. …”
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CrossModalSync: joint temporal-spatial fusion for semantic scene segmentation in large-scale scenes by Shuyi Tan, Yi Zhang, Yan Li, Byeong-Seok Shin

“…However, in complex, dynamic scenes, cumulative errors and the “many-to-one” mapping problem are challenges for existing semantic segmentation methods, which further limit their accuracy and efficiency. …”
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Assessing AI-Based Software’s Precision in Identifying Oral Lesions from Radiographs by Hamzah Ali Babkair, Mohammed Enamur Rashid, Abedalla Abdelghani, Tarek M. Ibrahim, Mohammad Khursheed Alam

“…While it performs comparably to expert radiologists in most cases, further optimization is needed for complex lesion types. The integration of AI in routine diagnostic workflows could significantly enhance clinical efficiency and decision-making.…”
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Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

“…Discussion The study demonstrates the effectiveness of DL models, particularly EfficientNet-B7 and DenseNet201, for fast, accurate, and automatic disease detection in sugarcane leaves. …”
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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

“…So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. …”
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A feature selection method utilizing path accumulation cost, redundancy minimization, and interaction maximization for the diagnosis of coronary heart disease by Jiayao Jiang, Zheng Yue, Hongling Zhu, Yan Wang, Hongsen Cai, Wenguang Hou

“…Conclusion The proposed approach offers an efficient solution for early detection of CHD by identifying critical indicators, reducing diagnostic complexity, and improving predictive accuracy, thus potentially leading to more effective CHD management.…”
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Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…BackgroundElectrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is labor-intensive and computationally cumbersome.MethodsTo reduce feature complexity and enhance detection accuracy, we propose a spectral feature-based approach using single-lead ECG signals. …”
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TMN-Net: A Hybrid 2.5D Multi-Branch Transformer Network for Coronary Artery Segmentation in Cardiac Diagnosis by Bo Zhao, Jianjun Peng, Kai Zhang, Yongyan Fan, Ce Chen, Yang Zhang

“…Coronary artery disease (CAD) continues to be a leading cause of global mortality, necessitating accurate and efficient diagnostic tools for early detection and treatment planning. …”
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π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis by Xiao Li, Qinxue Ouyang, Mingfei Han, Xiaoqing Liu, Fuchu He, Yunping Zhu, Ling Leng, Jie Ma

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Use of UAVs to assess fire hazard of areas adjacent to trunk pipelines by Sharafutdinov Azat, Abdullin Nail, Balyklov Alexander, Akhmetkhafizov Aydar

“…The purpose of using multi-and hyperspectral complexes based on unmanned aerial vehicles is to increase the efficiency of fire safety control of trunk oil pipelines. …”
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