YOLOv8-GDCI: Research on the Phytophthora Blight Detection Method of Different Parts of Chili Based on Improved YOLOv8 Model by Yulong Duan, Weiyu Han, Peng Guo, Xinhua Wei

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Research on the Stability of Express Delivery Supply Chain Based on Risk Propagation Model ------ Case Studies of SF Express and JD Logistics by Fan Yunhui

“…Through a comparative analysis of SF Express (centralized network) and JD Logistics (distributed network), the following findings are revealed: (1) The risk amplification effect of centralized warehousing systems during peak order periods is 23% higher than the baseline value; (2) Crowdsourced delivery networks improve delivery flexibility while reducing terminal risks by 34%, but increase information leakage risks by 2.3 times. Based on the research results, optimization strategies such as dynamic path optimization algorithms and blockchain-based information isolation mechanisms are proposed, providing theoretical tools and practical references for risk prevention and control in the express delivery industry.…”
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Research on the Method of Artificial Intelligence for Identifying Urban Land-Use Types Based on Areas of Interest (AOI) and Multi-Source Data by Miaoyi Li, Ningrui Zhu

“…Departing from existing data weighting algorithms, this research applies artificial intelligence techniques, utilizing the categorical information of AOI data as labels. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…The dataset's creation involved collaboration with domain experts to ensure its relevance and reliability for agricultural research. By leveraging this dataset, researchers can explore innovative approaches to tackle challenges in lentil farming, contributing to sustainable agricultural practices and food security. …”
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An Exploratory Research to Evaluate the 30 Most Common Pulmonary Embolism Drugs in the Food and Drug Administration Adverse Event Reporting System by Hang Chen, Yiming Shen, Yinyu Mu, Shuguang Xu, Shimo Shen, Weiyu Shen, Zeyang Hu, Hongxiang Li, Keyue Qiu, Jiaheng Zhang, Zhe Chen, Guodong Xu

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Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability by Md. Abu Jabed, Masrah Azrifah Azmi Murad

“…Key factors contributing to accurate estimation include temperature, rainfall, soil type, humidity, and various vegetation indices, such as NDVI, EVI, LAI, and NDWI. The research paper also examines the algorithms frequently utilized in the machine learning domain, including Random Forest (RF), Artificial Neural Networks (ANN), and Support Vector Machine (SVM). …”
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Research on the correlation between retinal vascular parameters and axial length in children using an AI-based fundus image analysis system. by Chaoyang Zhao, Huilin Li, Ziyou Yuan, Zihan Yang, Tiantian Wang, Yan Wang, Qian Tong, Shaofeng Hao

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Auto Machine Learning and Convolutional Neural Network in Diabetes Mellitus Research—The Role of Histopathological Images in Designing and Exploring Experimental Models by Iulian Tătaru, Simona Moldovanu, Oana-Maria Dragostin, Carmen Lidia Chiţescu, Alexandra-Simona Zamfir, Ionut Dragostin, Liliana Strat, Carmen Lăcrămioara Zamfir

“…<b>Conclusions:</b> Our research underscores the efficacy of classifying with two AI algorithms, CNN and machine learning.…”
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Applied science in the departmental universities: Inflated self-esteem and critical thinking (Оn an example of Federal Penitentiary Service’s universities of Russia) by O. A. Pogudin

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Cost-aware cloud workflow scheduling using DRL and simulated annealing by Yan Gu, Feng Cheng, Lijie Yang, Junhui Xu, Xiaomin Chen, Long Cheng

“…To address this issue, researchers have started exploring the use of Deep Reinforcement Learning (DRL). …”
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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics by Yasear et al.

“…Based on the usage of memory, metaheuristics can be classified into algorithms with memory and without memory (memory-less). …”
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Increasing the service life of tank car boilers for the transportation of chemical cargoes by using the method of tread protection by Iurii Shcherbyna, Anna Tereshchuk

“…At the same time, specialists, researchers and scientists face a special task - to maximize the boiler life using a progressive protection method. …”
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Solving the Economic Load Dispatch Problem by Attaining and Refining Knowledge-Based Optimization by Pravesh Kumar, Musrrat Ali

“…The ARKO algorithm consists of two distinct phases: attaining and refining. …”
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Strength prediction and failure mode classification for SRC shear beams using GA-BP ANN method by Gangfeng Yao, Bingyi Li

“…Considering the advantages of machine-learning (ML) approaches, the back-propagation (BP) artificial neural network (ANN) method combined with genetic algorithm (GA) was employed to the prediction of strength and failure mode of SRC shear beams. …”
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The Bregman Modified Second APG Method for DC Optimization Problems by Lumiao Wang, Ziye Liu, Chunguang Liu

“…To address this limitation, researchers often employ Bregman distance as an alternative to Euclidean distance in existing DC algorithms. …”
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Intra-Domain Routing Protection Scheme Based on the Minimum Cross-Degree Between the Shortest Path and Backup Path by Haijun Geng, Xuemiao Liu, Wei Hou, Lei Xu, Ling Wang

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Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints by Adama Nouboukpo, Mohand Saïd Allili

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Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach by Redouane Larbi Boufeniza, Luo Jingjia, Kemal Adem Abdela, Karam Alsafadi, Mohammad M Alsahli

“…Moreover, the long short‐term memory (LSTM) algorithm was the predominant computational deep learning algorithm extensively used in this specific context. …”
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ҚАЗАҚСТАН РЕСПУБЛИКАСЫНЫҢ НАН-ТОҚАШ КӘСІПОРЫНДАРЫН ТАРАТУДЫН ЛОГИСТИКАЛЫҚ ЖҮЙЕЛЕРІН ҚҰРУ МӘСЕЛЕЛЕРІ... by D. K. Tursynbaeva, S. .. Bolatkizy, A. E. Toylybayev

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The correlation of personal characteristics and professional value orientations of representatives of the socionomical sphere of employment by Natalya А. Samoylik

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