Selection of the Most Suitable Tree and Shrub Species for the Afforestation of Iranian Northern Zagros Forests Using AHP and TOPSIS Techniques (Case Study: Perdanan Piranshahr) by Farzad Yavari, Ahmad Alijanpour, Abbas Banj Shafiei, Hossein Azadi, Hadi Beygi Heiderlou

“…The most suitable species were selected based on the examined criteria and the soil properties of the region. …”
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Improved Deep Reinforcement Learning with Logistic Map for Microgrid Energy Management by Kaewdornhan Niphon, Chatthaworn Rongrit

“…However, the structure of the DDPG agent, which uses neural networks with many hyperparameters, often leads to non-convergence and high computational burdens during the training process. To address these issues, DDPG is improved by assisting a Logistic Map (LM) which is proposed in this work. …”
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Mapping of the Glucose Metabolism Heterogeneity in Atherosclerosis: Correlation With 2-Deoxyglucose Uptake by Joseph Haddad MD, Selim Demirdelen MD, Clayton E. Barnes BS, Steven A. Leers MD, Sina Tavakoli MD, PhD

“…However, knowledge about metabolic processes underlying [ 18 F]FDG uptake is mostly derived from in vitro cell culture studies, which cannot recapitulate the complexities of the plaque microenvironment. …”
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Unveiling the Genomic Landscape of <i>Pseudorasbora parva</i>, the Most Invasive Freshwater Fish Worldwide: A Key Step Towards Understanding Invasion Dynamics by Marine Combe, Théo Deremarque, Justina Givens, Rodolphe Elie Gozlan

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Choosing the most suitable NGS technology to combine with a standardized viral enrichment protocol for obtaining complete avian orthoreovirus genomes from metagenomic samples by Sonsiray Álvarez-Narváez, Sonsiray Álvarez-Narváez, Telvin L. Harrell, Islam Nour, Sujit K. Mohanty, Steven J. Conrad

“…Hence, we conclude that short-read sequencing is the most suitable technology to combine with our ARV genome enrichment protocol.…”
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String processing model for knowledge-driven systems by V. P. Ivashenko

“…The purpose of the work is to confirm experimentally theoretical estimates for time complexity of operations of the string processing model linked with the metric space for solving data processing problems in knowledge-driven systems including the research and comparison of the operation characteristics of these operations with the characteristics of similar operations for the most relevant data structures. …”
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Comparative Validation and Misclassification Diagnosis of 30-Meter Land Cover Datasets in China by Xiaolin Xu, Dan Li, Hongxi Liu, Guang Zhao, Baoshan Cui, Yujun Yi, Wei Yang, Jizeng Du

“…The 30-meter-resolution maps, with their better resolution and longer historical records, are extensively utilized to assess changes in land cover and their effects on carbon storage, land–atmosphere energy balance, and water cycle processes. …”
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A Review of Image- and LiDAR-Based Mapping of Shallow Water Scenarios by Paulina Kujawa, Fabio Remondino

“…The paper focuses on three survey technologies, Unmanned Aerial Systems (UASs), Airborne Bathymetry (AB), and Satellite-Derived Bathymetry (SDB), with multimedia photogrammetry and LiDAR-based approaches as processing methods. The most popular and/or state-of-the-art image and LiDAR data correction techniques are characterized. …”
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Traces of hunters on Eastern Arctic islands in ancient times. Part 2 by Vasyl Prydatko-Dolin (orcid: 0000-0002-0128-4928)

“…The article presents improved, cartographically processed materials from Part 1, supplemented with the latest remote sensing data (WV02...WV04, GE1), covering up to 150 locations. …”
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SPECIALIZED MAPPING OF CRUSTAL FAULT ZONES. PART 2: MAIN STAGES AND PROSPECTS by K. Zh. Seminsky

“…There are three stages in the special mapping method (Fig. 3) as follows:Stage I: Preparation and analysis of previously published data on the regional fault structure (Fig. 1, А–Г), establishment of a networks of stations to conduct structural geological monitoring and mass measurements of joints, re­cord of rock data (Fig. 2, А), general state of the fault network (Fig. 1, Д–З), fracture density (Fig. 2, Б) and, if any, structures of the above-jointing level (Fig. 1, Е, З; Fig. 2, А).Stage II is aimed at processing of field data and includes activities in four groups (II.1–II.4) as follows: Group II.1: construction of circle diagrams, specification of characteristics of joint systems and their typical scatters (Fig. 4, А), identification of simple (generally tipple) paragenesises, and determination of dynamic settings of their formation (translocal rank) (Table 1), evaluation of densities and complexity of the joint networks, analysis of their spacial patterns within the site under mapping, and identification of the most intensively destructed zones in the rock massif (Fig. 2, Б–В). …”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

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Mapping Technologies for Catheter Ablation of Atrial Fibrillation Beyond Pulmonary Vein Isolation by Giulio La Rosa, Jorge G Quintanilla, Ricardo Salgado, Juan José González-Ferrer, Victoria Cañadas-Godoy, Julián Pérez-Villacastín, Nicasio Pérez-Castellano, José Jalife, David Filgueiras-Rama

“…Recent developments in mapping tools and computational methods for advanced signal processing during AF have reported novel strategies to identify atrial regions associated with AF maintenance. …”
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Mapping and Analyzing Research on COVID-19 and the Stock Market: A Bibliometric Analysis by Younes Nobakht

“…To investigate word co-occurrence, social network mapping was used. Analysis of the social network map of word co-occurrence was conducted using three methods: 1) Analysis of clusters of the most frequent keywords, 2) Investigation of the time process of the formation of clusters of the most frequent keywords, and 3) Density analysis of the most frequent keywords. …”
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A comparative evaluation of geostatistical techniques of frequency ratio (FR), Shannon Entropy (SE), and analytical hierarchy (AHP) in landslide prediction: a case study of Uttarak... by Mohd. Alam, Afzal Nadeem Siddiqui, Syed Kausar Shamim, Ateeque Ahmad, Mohammed Faiz

“…Abstract Mapping landslide susceptibility is crucial for defining high-risk zones and preventing property and human casualties. …”
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Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings by Daniel Asuquo, Kingsley Attai, Okure Obot, Moses Ekpenyong, Christie Akwaowo, Kiirya Arnold, Faith-Michael Uzoka

“…The research investigated the most effective modeling approach for differentiating among 11 febrile illnesses that are prevalent in Nigeria using three intelligent techniques: Extreme Gradient Boost (XGBoost), Fuzzy Cognitive Map (FCM), and Analytic Hierarchy Process (AHP). …”
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Calculating Depth for Dark Images Using Self-Supervised Learning: An Investigation of the Role of Edge Maps as Input by Shwetang Dubey, Satvik Watts, Ashok Malhotra, Kunal Prajapati, Pavan Chakraborty

“…However, the edge information gets lost during deep learning processes while going through different layers, so we provided the edge map at different layers to check where this edge information is most effective for the depth estimation process. …”
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Mapping the intellectual and conceptual structure of physical education research: Direct citation analysis by Andrzej Lis, Mateusz Tomanek

“…It is focused around the following study questions: (1) What are the most influential publications within the research field? …”
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Understanding Information Propagation in Online Social Networks: A Systematic Mapping Study by Eleana Jerez-Villota, Francisco Jurado, Jaime Moreno-Llorena

“…The SMS collected 424 studies and analysed 175 primary studies, and the results reveal that most studies are model proposals, the most researched topic is Influence Maximisation (IM), and Twitter (now X) is the most commonly used resource in experiments. …”
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A 20‐year mapping of Bayesian belief networks in software project management by Abraham L. R. deSousa, Cleidson R. B. deSouza, Rodrigo Q. Reis

“…We draw the following conclusions from the results of our SM: (1) The application of Bayesian networks in SPM has been an active research topic since 1999. (2) Prediction and planning are the most common purposes in 60% of selected papers. (3) Software quality (55%) is the problem domain most investigated. (4) Most of the surveyed studies embrace the project (47%) and product (37%) scopes. …”
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Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce by Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue

“…Parallel attribute reduction is one of the most important topics in current research on rough set theory. …”
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