Leasing impact on transformation processes in the Russian agricultural sector under sanctions pressure by A. A. Kiritsa, Yu. V. Chutcheva

“…With consideration to  the current situation in   the domestic market, decreased prices for agricultural products and rapid growth of   prices for agricultural machinery, the most promising areas for the use of  leasing mechanisms have been proposed to   help accelerate technical re-equipment in   the agricultural sector: application of   leasing solutions in   the agricultural industry that have already been tested and proven successful in   other market segments (for example, subscription, agrocarsharing, etc.); combination of   leasing mechanisms with trade-in programmes which make it  possible to  comprehensively solve issues not only of   updating machinery and tractor fleet, but also of  recycling worn-out agricultural equipment; use of   leasing mechanisms for the development of  machine and technological complexes as a   modern form of  joint use of   machinery in  agriculture which allows accelerating technical equipment of   the industry. …”
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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

“…The research tackles a rarely studied clinical medical imaging issue that involves bullet identification and positioning within X-ray images. …”
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Three-Dimensional Object Recognition Using Orthogonal Polynomials: An Embedded Kernel Approach by Aqeel Abdulazeez Mohammed, Ahlam Hanoon Al-sudani, Alaa M. Abdul-Hadi, Almuntadher Alwhelat, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Muntadher Alsabah, Abir Hussain

“…Various signal preprocessing operations have been used for computer vision, including smoothing techniques, signal analyzing, resizing, sharpening, and enhancement, to reduce reluctant falsifications, segmentation, and image feature improvement. For example, to reduce the noise in a disturbed signal, smoothing kernels can be effectively used. …”
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An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment by Haoran Sun, Qi Zheng, Weixiang Yao, Junyong Wang, Changliang Liu, Huiduo Yu, Chunling Chen

“…Through image processing techniques, the issue of class imbalance was addressed. Based on this, a model named GCSS-YOLO was proposed. …”
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Cascade DeepLab Net: A Method for Accurate Extraction of Fragmented Cultivated Land in Mountainous Areas Based on a Cascaded Network by Man Li, Renru Wang, Ana Dai, Weitao Yuan, Guangbin Yang, Lijun Xie, Weili Zhao, Linglin Zhao

“…However, the fragmented nature of cultivated land in these complex terrains challenges the effectiveness of existing extraction methods. To address this issue, this study proposed a cascaded network based on an improved semantic segmentation model (DeepLabV3+), called Cascade DeepLab Net, specifically designed to improve the accuracy in the scenario of fragmented land features. …”
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Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network by Deliang Xiang, Yu Lu, Dongdong Guan, Guannan Li, Jianda Cheng, Bangjie Li

“…The issue of marine oil spills has been receiving increasing attention. …”
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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images by Rashid Abbasi, Farhan Amin, Amerah Alabrah, Gyu Sang Choi, Salabat Khan, Md. Belal Bin Heyat, Muhammad Shahid Iqbal, Huiling Chen

“…In addition, low-quality retinal images make the subsequent precise segmentation a challenging task for the computer diagnosis of retinal images. …”
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Evaluation of Pore-Type Carbonate Reservoir Connectivity Based on Electrical Imaging by SUN Jianmeng, CHENG Yaodong, HE Juan, LIU Zhang, CHEN Peiyuan

“…It is proved that the connectivity index can indicate the reservoir depth segment with good pore structure and dissolution pore development, and can divide the depth segment with good connectivity in the reservoir. …”
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The Ground-Penetrating Radar Image Matching Method Based on Central Dense Structure Context Features by Jie Xu, Qifeng Lai, Dongyan Wei, Xinchun Ji, Ge Shen, Hong Yuan

“…By applying threshold segmentation and extremum point extraction to the GPR image, stratified strip-like elements and pseudo-corner points are obtained. …”
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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…This study addresses this critical issue by developing a robust and accurate system for classifying Bangladesh’s ten most common skin diseases using convolutional neural networks (CNNs)-based transfer learning models. …”
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An Efficient Topology Construction Scheme Designed for Graph Neural Networks in Hyperspectral Image Classification by Yu Zhang, Xin Li, Yaoqun Xu

“…To fundamentally address this issue, we reinterpreted the implicit topological structure between pixels on the basis of their spectral feature similarity and spatial position dependencies. …”
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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches by Mohsin Akram, Muhammad Adnan, Syed Farooq Ali, Jameel Ahmad, Amr Yousef, Tagrid Abdullah N. Alshalali, Zaffar Ahmed Shaikh

“…Abstract Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it challenging to trust predictions, particularly in uncertain cases. …”
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Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage by Jiaxin Gao, Feng Tan, Jiapeng Cui, Zhaolong Hou

“…IntroductionMissing seedlings is a common issue in field maize planting, arising from limitations in sowing machinery and seed germination rates. …”
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Heterogeneity Assessment of Breast Cancer Tumor Microenvironment: Multiparametric Quantitative Analysis with DCE-MRI and Discovery of Radiomics Biomarkers by Ma W, Yang L, Zhang Y, Gao Y, Jie H, Huang C

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THE PRINCIPLES OF SEPARATE ACCOUNTING OF COSTS AND REVENUES FROM THE PRACTICE OF JSC "SO UES" by I. Bardina, D. Blyablina

“…On the issues identified will be offered solutions.…”
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An alternative model of social space: Research on the potential for cohousing in Serbia by Mitrović Jelena, Milošević Pantović Aleksandra

“…This includes an overview of the broader circumstances related to spatial segregation issues and the aim to eliminate undesirable encounters. …”
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Artificial Intelligence in Deen by Asmat Naz, Saadia Irshad, Maria Shams Khakwani

“…Notwithstanding, this issue is seldom talked about from the Deen point of view. …”
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Electronic petitions in France on the material of Change.org, a non-governmental e-petition platform by K. V. Bannikov, N. K. Radina, O. A. Smirnova, D. V. Shavarova

“…In addition, Change.org is actively registering electronic petitions on issues related to crime and terrorism, discrimination, the environment, the economy and animal welfare. …”
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The Analysis of Perception of Integration Processes in Armenian Society by E. S. Andreeva

“…The article analyzes the information presented in the media and Internet resources related to the problem of the attitude of various segments of the Armenian society to Armenia’s integration policy, including the issues of Armenia’s participation in the Eurasian Economic Union, as well as the problems of Armenia’s cooperation with the EU.…”
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Africa: Topics of Agricultural Development by GRISHINA Nina Vladimirovna

“…In recent decades, the African segment of world agricultural development has required increasing attention from both national governments and the international community. …”
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