Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches by Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard

“…Each model exhibits distinctive hierarchical information processing: neural models favor bottom-up flow, statistical models emphasize top-down constraints, and tree-based models achieve balanced integration. …”
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FUZZY MODELING OF VERBAL INFORMATION FOR PRODUCTION SYSTEMS by Anna Bakurova, Mariia Pasichnyk, Elina Tereschenko

“…Such a model is the basis for processing information that has a structure of greater complexity. …”
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A multi-tag anti-collision protocol based on 8-ary adaptive pruning query tree by Ming Chu, Zhihong Qian, Xue Wang

“…Both theoretical analysis and simulation results show that this protocol performs better than other tree-based anti-collision protocols. The throughput of 8-ary adaptive pruning query tree protocol remains approximately 0.625.…”
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Pengaruh Social Media Marketing dan Marketplace Marketing terhadap Minat Beli Produk Tree-X by Cynthia Komala Ardy, Romauli Nainggolan

“…Tree-X company runs in wooden gifts and merchandises. …”
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Development of a model for detection and analysis of inclusions in tomographic images of iron castings using decision trees by Dorota Wilk-Kołodziejczyk, Aleksandra Nowotny, Izabela Krzak, Adam Tchórz, Krzysztof Jaśkowiec, Marcin Małysza, Adam Bitka, Mirosław Głowacki, Marzanna Książek, Łukasz Marcjan

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PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…One crucial piece of information is tree species, which is essential for various reasons and challenging to implement within ground-based technology workflows. …”
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USING GIS AND REMOTE SENSING DATA IN SPATIAL ANALYSIS TO SELECT FOREST TREES IN BASHIQA AEREA NORTH by Basman Y. Hameed

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Fuzzy evaluation for response effectiveness in cases of incomplete information by Fenghua LI, Yongjun LI, Zhengkun YANG, Han ZHANG, Lingcui ZHANG

“…,missing elements of judgment matrix and missing data of indicators) and the response effectiveness was evaluate.Firstly,a hierarchical indicator tree was design to characterize the effectiveness from the perspectives of both attack and defense.Then,the fuzzy analytic hierarchy process (FAHP) was used to calculate the comprehensive weight of each indicator.Finally,the response effectiveness was calculated using fuzzy comprehensive evaluation.In particular,to deal with the problem of incompleteness of fuzzy judgment matrix in the process of FAHP,the missing elements were completed based on the transitivity of elements.And to deal with the problem of loss data in the comprehensive evaluation,the missing data was completed based on matrix completion.The experimental results show that the proposed scheme can accurately recover the missing data and can effectively evaluate the effectiveness of response.…”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…To effectively digitalize the process of urban green space planning, design, and management, it is essential to establish spatial information models that can accurately reflect the characteristics of these spaces. …”
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A Dynamic Load Balancing Architecture for Fog Computing using Tree Base Resource Arrangement and Flexible Task Prioritization by Bikash Sarma, R. Kumar, Themrichon Tuithung

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Land transformation across agroecological zones reveals expanding cropland and settlement at the expense of tree-cover and wetland areas in Nigeria by Felicia O. Akinyemi, Chinwe Ifejika Speranza

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Comparison of UAV-Based LiDAR and Photogrammetric Point Cloud for Individual Tree Species Classification of Urban Areas by Qixia Man, Xinming Yang, Haijian Liu, Baolei Zhang, Pinliang Dong, Jingru Wu, Chunhui Liu, Changyin Han, Cong Zhou, Zhuang Tan, Qian Yu

“…UAV LiDAR and digital aerial photogrammetry (DAP) have shown great performance in forest inventory due to their advantage in three-dimensional information extraction. Many studies have compared their performance in individual tree segmentation and structural parameters extraction (e.g. tree height). …”
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IoT and Edge Computing using virtualized low-resource integer Machine Learning with support for CNN, ANN, and Decision Trees by Stefan Bosse

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Knowledge reasoning and strategy optimization for ship operation and maintenance based on digital twin and improved KD tree algorithm by Liyao ZHANG, Ziqian GUO, Ruifang LI, Xun YE, Tao MA

“…ResultsThe experimental results show that the proposed improved KD tree algorithm (ω-KDtree-WOA) achieves an inference accuracy of 0.928 when the K value is 4 and the population size is 400, which is approximately 3.2% higher than that of the traditional KD tree algorithm under the same conditions. …”
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Enhanced Neonatal Brain Tissue Analysis via Minimum Spanning Tree Segmentation and the Brier Score Coupled Classifier by Tushar Hrishikesh Jaware, Chittaranjan Nayak, Priyadarsan Parida, Nawaf Ali, Yogesh Sharma, Wael Hadi

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Designing a Cross-Platform Application That Employs Multi-Criteria Decision Making for Estimating the Value of Monumental Trees by Katerina Kabassi, Konstantinos Asiklaris, Aristotelis Martinis, Charikleia Minotou, Athanasios Botonis

“…The system uses and combines three different multi-criteria decision-making theories, namely, analytical hierarchy process (AHP), simple additive weighting (SAW), and multicriteria optimization and compromise solution (VIKOR) and evaluates olive trees based on tangible and intangible criteria. …”
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APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX by WANG ChaoGe, LIU TongTong, REN XuePing, ZHANG HaoDong, WANG JianGuo

“…Then,the component that contains fault feature was processed by using minimum entropy deconvolution to reduce the strong background noise and enhance the fault information. …”
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Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression. by Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke

“…Therefore, we recommend that the QGAM be preferred ahead of decision tree-based models when predicting solar irradiance. …”
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ASSESSMENT OF PEROXIDASE ACTIVITY IN LEAVES OF PLUM AND APPLE TREES DURING THE VEGETATION PERIOD, DEPENDING ON THE GENOTYPE AND GROWING CONDITIONS by USM ADMIN

“…Studies conducted on plum and apple trees showed that the activity of the peroxidase enzyme in the leaves depended on various factors: environmental conditions, the intensity of metabolic processes occurring in certain phenophases of growth and development of trees, as well as on the biological characteristics of the varieties. …”
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