Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…The explainability results reveal distinct feature importance patterns for each crop and region. …”
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ARTISTIC CHARACTERISTICS AND INNOVATIVE DESIGN OF WOMEN’S DUDOU IN QING DYNASTY by Wang Yujuan, Ruslana Viktorivna Khynevych

“…The literature research method, case study method, and empirical summary method are used to analyse the current research status, morphological features, pattern themes, colour usage, and design innovations of women's Dudou in the Qing Dynasty. …”
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Propagation of Radiofrequency Waves in Space by Bernard Démoulin

“…This paper deals with the scattering of electromagnetic waves in space, in particular that of radio waves used for broadcasting, TV and telecommunications. The basic features of electromagnetic wave propagation are described without any mathematical development. …”
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Genome-wide characterization and expression profiling of the TGA gene family in sweet orange (Citrus sinensis) reveal CsTGA7 responses to multiple phytohormones and abiotic stresse... by Min Wang, Min Wang, Yue Ma, Yu-Xin Qiu, Si-Si Long, Wen-Shan Dai, Wen-Shan Dai

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Capturing Built Environment and Automated External Defibrillator Resource Interplay in Tianjin Downtown by Sara Grigoryan, Yike Hu, Nadeem Ullah

“…This study applied an Optuna-based extreme gradient boosting (OP_XGBoost) decision tree model with SHapely Additive exPlanations (SHAP) and partial dependence plots (PDPs) aiming to scrutinize the spatial effects, relative importance, and non-linear impact of BE features on AEDR intensity across grid and block urban patterns in Tianjin Downtown, China. …”
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Voice-Based Emotion Identification Based on Mel Frequency Cepstral Coefficient Feature Extraction Using Self-Organized Maps and Radial Basis Function by Asrivatun Nikmah, Auli Damayanti, Edi Winarko

“…Voice-based emotion identification is carried out to determine the pattern of emotions using the depth analysis mechanism of voice signal development and feature extraction that carries the emotional characteristic parameters of the speaker's voice. …”
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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
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EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models by B. R. Nayana, M. N. Pavithra, S. Chaitra, T. N. Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal

“…Firstly, a conventional machine learning model was developed post-pre-processing, and feature extraction from the power spectral density was done using a Random Forest classifier. …”
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Advancing sustainable agricultural: A novel framework for mapping annual 30-m resolution national-level irrigated croplands by Enyu Du, Fang Chen, Huicong Jia, Jinwei Dong, Lei Wang, Yu Chen

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SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…The controlling factors for abrasion were developed based on geometric and hydraulic features. …”
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FEATURES OF EVALUATING THE RATIONALITY OF CONSUMER BEHAVIOR AT ALL STAGES OF USING NON-STEROIDAL ANTI-INFLAMMATORY DRUGS IN OCCUPATIONAL DISEASES OF THE MUSCULOSKELETAL SYSTEM by Андрей Георгиевич Петров, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин, Ольга Владимировна Хорошилова

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Expression analysis of glutathione S-transferase genes in Lasioderma serricorne (Coleoptera: Anobiidae) subjected to CO₂-enriched atmosphere by XU Kangkang, DING Tianbo, YAN Yi, LI Can, YANG Wenjia

“…Temporal expression profile revealed that all the three GSTs genes were constitutively expressed in the testing stages, exhibited similar developmental expression patterns, with the highest expression level measured in the early larval stage. …”
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Photo‐Thermal Approaches on Polyimide Film for Demonstration of Sub‐50 µm Polymer Stencil Mask by Bon‐Jae Koo, Jin‐Hyeong Lee, Hyo‐Kyung Kwon, Hwidon Lee, Joonsoo Jeong, Suk‐Kyun Ahn, Min‐Ho Seo

“…This approach successfully yielded micro‐patterns with feature sizes below 50 µm on polyimide film. …”
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A connectionist account of the relational shift and context sensitivity in the development of generalisation by Paul H. Thibodeau, Aviva Blonder, Stephen J. Flusberg

“…Here we demonstrate that this pattern of behaviour naturally emerges over the course of development in a domain-general statistical learning model that employs distributed, sub-symbolic representations. …”
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Digital Economy in the Projection of the Economic Development Model: Realities of the Republic of Azerbaijan by E. A. Kuklina, E. A. Babayev

“…The article explores the economic model and identifies patterns of economic development in Azerbaijan in the postSoviet period. …”
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ACTUAL DISCOURE ABOUT TIPES FND DEVELOPMENT TENDENCIES NATIONAL STATE by E. G. Ponomareva

“…All this naturally makes urgent the issues related to the search for optimal models of nation state development. The article analyzes approaches to understanding patterns, problems and prospects of the development of this institution existing in modern political science. …”
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Interactive Generation of Oral History by a Child with Participation of an Adult by N. M. Yurieva

“…The relevance of the study is due to the need to develop a theory of discursive development during preschool childhood as an important component of knowledge about speech ontogenesis and the features of the formation of narrative competence. …”
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Development of generalized terrain-following FVCOM model for the steep terrain seas by Yixuan Bu, Yang Chen, Yang Chen, Shouxian Zhu, Wenjing Zhang, Guangsong Cao, Zhenguo Ding

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Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

“…Scientific novelty in the form of development of autoregressive neural network model of accident rate forecasting to identify dependencies and patterns of data, which can improve the quality of accident rate forecasting, considering also the possibility of processing a large amount of data with information about the factors affecting the accident rate. …”
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