Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers by Mahmood i Alborz, Mohammad Ebrahim Mohammad Pourzarandi, mohammad khanbabaei

“…Genetic algorithm can help in credit scoring of customers by choosing appropriate features and building optimum decision trees. Development process in pattern recognition and CRISP process are used in credit scoring of customers in construction of this model. …”
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Genome-wide characterization of monoacylglycerol lipase (MAGL) gene family in soybean and functional analysis of GmMAGLs in storage lipid metabolism and drought resistance by Haiqing Jing, Yan Sun, Bicheng Wang, Juhua Ma, Kun Wan, Zhanqian Li, Yali Zhou, Runzhi Li, Haiping Zhang, Jinai Xue

“…RNA-seq data revealed that GmMAGL genes displayed tissue-specific or distinct expression patterns in response to abiotic stresses and hormone treatments. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…Traditional video-based activity recognition methods often grapple with persistent obstacles such as environmental noise, background clutter, and the inter-class similarities inherent in activity patterns. Recent advancements in this field have largely focused on spatial feature extraction, which alone proves inadequate for thorough group activity analysis. …”
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Synthesis of Amplitude-Phase Distribution in Quasiconcave an Antenna Array by M. R. Bibarsov, E. V. Gribanov, D. D. Gabrielyan, D. S. Fedorov, D. S. Fedorov

“…In this paper, features are considered and an algorithm for the synthesis of the amplitude-phase distribution of a quasi-annular antenna array is developed. …”
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Physics-based modeling and mechanism of polycrystalline diamond tool wear in milling of 70 vol% Si/Al composite by Lianjia Xin, Guolong Zhao, Zhiwen Nian, Haotian Yang, Liang Li, Ning He

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Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…A transformer encoder with integrated spectral and temporal attention mechanisms captures intricate patterns and long-range dependencies within the EEG signals. …”
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Changes in visitor behaviour in Canadian National Parks due to COVID-19: focusing on visitor spatial location and the distance between park facilities and visitors by Huaiyi Wang, Xiangfei Lu, Yaquan Dou, Xuanqin Yang, Xiaodi Zhao

“…To investigate these changes, this study selected six NPs and examined shifts in spatial visitation patterns and their relationship with proximity to park facilities before and during the pandemic. …”
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The Residents\' Experiences of Physical Integration in Settlement Developments: A Case Study of Historical Village of Qahi by Azadeh Lak, Eftekhar Azizkhani

“…The rural development has been implemented based on urban development plans in the form of contemporary urban grid pattern which is at odds with the organic pattern of the village. …”
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Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations by W. A. Bristow, C. A. Topliff, M. B. Cohen

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Genomic features, antimicrobial resistance and pathogenicity assessment of Escherichia coli serotype O177:H51 strain JS01 isolated from a diseased chicken by Lunbin Xia, Guanglei Wang, Naidong Chen, Deliang Qiao, Jianwen Cao, Shaoshuai Bi

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Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…This study proposes a real-time deep learning framework that combines the InceptionV3 architecture with Convolutional Block Attention Modules to enhance spatial and channel-level feature discrimination. The model is further optimized through a proposed attention module that intensifies attention to small and minute blood-related patterns, even under challenging conditions such as occlusions, motion blur, and low visibility. …”
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Domain Knowledge Preservation in Financial Machine Learning: Evidence from Autocallable Note Pricing by Mohammed Ahnouch, Lotfi Elaachak, Erwan Le Saout

“…Machine learning applications in finance commonly employ feature decorrelation techniques developed for generic statistical problems. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…PD signals were collected using a combination of High-Frequency Current Transformer (HFCT) and Ultra High Frequency (UHF) sensors, capturing time-domain waveforms, frequency-domain spectra, and Phase-Resolved Partial Discharge (PRPD) patterns, from which feature quantities were extracted. …”
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Isolation and identification of patient-derived liver cancer stem cells and development of personalized treatment strategies by Tingting Guo, Shuai Zhang, Weiping Zeng, Yan Liang, Jinghe Xie, ShouPei Liu, Yaqi Qiu, Yingjie Fu, Yimeng Ou, Keqiang Ma, Bailin Wang, Weili Gu, Yuyou Duan

“…The histologies and gene expression pattern of human xenografts were very similar to those of HPLC where these cloned cells were isolated. …”
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Research prevalence of psoriasis in countries and Ukraine by А. А. Kotvitska, V. V. Carlo

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The osteogenic cell surface marker BRIL/IFITM5 is dispensable for bone development and homeostasis in mice. by Alexa Patoine, Abdallah Husseini, Bahar Kasaai, Marie-Hélène Gaumond, Pierre Moffatt

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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

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Economic and Social Aspects of the Space Sector Development Based on the Modified Structure–Conduct–Performance Framework by Michał Pietrzak

“…The review was structured by a modified Structure–Conduct–Performance framework originally developed by industrial organization (IO) scholars. …”
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Development of an Artificial Neural Network-Based Image Retrieval System for Lung Disease Classification and Identification by Atul Pratap Singh, Ajeet Singh, Amit Kumar, Himanshu Agarwal, Sapna Yadav, Mohit Gupta

“…Leveraging the capabilities of ANNs, specifically convolutional neural networks (CNNs), the system aims to capture intricate patterns and features within images that are often imperceptible to human observers. …”
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Drug History and SLE Laboratory Findings Among Iraqi Patients: A Hospital‐Based Study by Hashim Talib Hashim, Ahmed Dheyaa Al‐Obaidi, Mustafa Najah Al‐Obaidi, Hossam Tharwat Ali, Idris Sula, Hozifa Alfaki, Abdelrahim Elamin, Alaa Hamza Hermis, Assalah Othman, Ahmed Qasim Mohammed Alhatemi

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