Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms by Xin Liu, Dichen Wang, Mingming Guo, Xingyi Zhang, Zhuoxin Chen, Zhaokai Wan, Jielin Liu

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Performance Optimization and Comprehensive Analysis of Binary Nutcracker Optimization Algorithm: A Case Study of Feature Selection and Merkle–Hellman Knapsack Cryptosystem by Mohamed Abdel-Basset, Reda Mohamed, Ibrahim M. Hezam, Karam M. Sallam

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The LETBP feature descriptor based fish species classification using Kepler optimization with Extreme Learning Machine by Annalakshmi GANESAN, Sakthivel Murugan SANTHANAM

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Specificity of the Analysis of Syrian Arabic Words and Expressions by Aida D. Haddad, Natalia V. Novospasskaya

“…In Arabic countries, the linguistic situation, characterized by diglossia, which manifests itself in the presence of colloquial variants as the primary means of communication and the literary Arabic language as the language of the official sphere, attracts the interest of sociolinguistic researchers and is a relevant issue of the Arabic linguistics. …”
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Machine learning in banking risk management: Mapping a decade of evolution by Valentin Lennart Heß, Bruno Damásio

“…The learning ability and predictive capabilities of artificial neural networks and other algorithms are promising for risk management. Our findings offer a concise overview of current ML applications for multiple risk types in banking, identifying research gaps, highlighting opportunities and challenges and providing actionable directions for further studies. …”
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Analisis Penerapan Metode Association Rule Mining Untuk Transaksi Penjualan di Toko Bangunan Dengan Algoritma Apriori by Diah Anggraini, Ucta Pradema Sanjaya, Ita Aristia Sa’ida

“…Therefore, in this problem, there must be utilization of sales transaction data for processing using a priori algorithms so that it can provide new knowledge that can be utilized by shop owners. …”
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Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features by Xu Chi, Xinyu Guo, Yu Sheng

“…The K-means++ algorithm was adopted to determine the initial clustering centers, the elbow method was used to determine the number of clusters, and an outlier processing algorithm was introduced. …”
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Center of Trapezoid Graph: Application in Selecting Center Location to Set up a Private Hospital by Shaoli Nandi, Sukumar Mondal, Sovan Samanta, Sambhu Charan Barman, Leo Mrsic, Antonios Kalampakas

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Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms by Nhat-Duc Hoang, Quoc-Lam Nguyen

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A Multiobjective Model for Optimizing Green Closed-Loop Supply Chain Network under Uncertain Environment by NSGA-II Metaheuristic Algorithm by Babak Hassangaviar, Bahman Naderi, Farhad Etebari, Behnam Vahdani

“…The efficiency of the research model is indicated by the results and depicted graphs in the present study. …”
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An intelligent partial charging navigation strategy for electric vehicles by Jinsheng Xiao, Bang Sun, Xun Gao, Hua Yang, Liyuan Wang

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Blockchain covert communication scheme based on the cover of normal transactions by Pengkun JIANG, Wenyin ZHANG, Jiuru WANG, Shanyun HUANG, Wanshui SONG

“…With the development of computer technology, the situation of modern network attack and defense is becoming increasingly severe, and the problem of secure transmission of secret information needs to be solved urgently.Covert communication technology embeds secret information into the carrier and transmits the information safely through the covert channel.However, the traditional covert channels face the challenges of data damaging, attack, detection and so on, which cannot meet the higher security requirements.As a public data platform, blockchain can embed secret information under the cover of a large number of transactions.With its tamper proof, anonymity, decentralization and other characteristics, blockchain can well solve the problems of traditional covert channels and achieve secure covert communication.However, the existing blockchain covert communication schemes are limited by low communication efficiency and poor security.How to improve safety and efficiency of covert communication is a research focus of blockchain covert communication.Motivated by this issue, a blockchain covert communication scheme based on the cover of normal transactions was proposed.The hash algorithm was used to build a transmission-free password table to embed secret information without changing any transaction data.Using the elliptic curve feature, transactions with hidden information can be quickly screened out from a large number of transactions, to extract secret information quickly.This scheme improves the security and efficiency of covert communication and has strong portability.Theoretical analysis shows that attackers cannot distinguish between ordinary transactions and special transactions.This scheme has high anti-detection and scalability.Besides, the experimental results of the bitcoin test network show the high efficiency of this scheme.…”
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The role of smart electricity meter data analysis in driving sustainable development by Archana Y. Chaudhari, Preeti Mulay, Shradha Chavan

“…The insight of this research contributes directly to sustainable development goals. …”
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Formation of a database of auxiliary information for positioning in an environment with heterogeneous radio transparency by Mikhail N. Krizhanovsky, Olga V. Tikhonova

“…Modeling of the proposed algorithm has confirmed its operability. The results obtained can be used as a significant addition to the previously proposed algorithm for taking into account obstacles when calculating distances to base stations.…”
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THE EFFECT OF TOPICAL APPLICATION WITH OZOILE® AS A NOVEL METHOD IN THE COMPLEX TREATMENT OF SOFT TISSUE INFECTIONS AND CHRONIC WOUNDS by P. Marinova

“…The treatment of severe and deep soft tissue infections, especially those combined with fascial necrosis is complex and involves a multidisciplinary team. The aim is to research the effect of topical application of Ozoile®, stable ozonides from organic extra-virgin olive oil +OILin the complex treatment of soft tissue infections and chronic wounds and to optimize the algorithm of these applications. …”
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The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

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Integrative electricity need prediction utilizing enhanced squeeze net and flexible Coyote optimization algorithm A combination of RCPs SSPs and socioeconomic by Bin Yang, Bin Song, Yadegar Abdi

“…Precise prediction of power consumption is critical for effective resource management. This research has demonstrated a new approach to forecasting that combines social and economic variables with climate factors using an advanced meta-heuristic algorithm to improve the accuracy and efficiency of the compact network. …”
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Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam by Ha Tran Phuong, Ha Tuan Cuong

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Optimizing Fleet Size in Point-to-Point Shared Demand Responsive Transportation Service: A Network Decomposition Approach by Fudong Xie, Ce Wang, Housheng Duan

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CNN-based Rolling Optimization Strategy for Prosumer Group in Demand Response by Xudong ZHANG, Fei LI, Di LIU, Yi SUN, Bin LI

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