Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…In this study, we comprehensively utilize LWD parameters (six types, including natural gamma and electrical resistivity, etc.) and drilling engineering parameters (four types, including drilling rate and weight on bit, etc.) from offset wells. The UMAP algorithm is employed for nonlinear dimensionality reduction, which not only integrates the dynamic response characteristics of drilling parameters but also preserves the sensitivity of logging data to lithological variations. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…We compare various KD algorithms to identify the technique that produces a smaller model with the modest accuracy drop. …”
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Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

“…Artificial intelligence and machine learning algorithms now automate image interpretation, predict clinical outcomes, and enhance clinical decision support, complementing conventional clinical evaluations. …”
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Identifying bellwether sewershed sites for sustainable disease surveillance in Bengaluru, India: a longitudinal studyResearch in context by Rebecca Fern Daniel, Subash K. Kannan, Namrta Daroch, Sutharsan Ganesan, Farhina Mozaffer, Vishwanath Srikantaiah, Lingadahalli Subrahmanya Shashidhara, Rakesh Mishra, Farah Ishtiaq

“…This was achieved by integrating established metrics for wastewater analysis, calculating sample-to-sample percentage rate of change, and applying algorithms to differentiate signal from noise, thereby validating factors contributing to the precision and reliability of outbreak predictions. …”
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MicroRNA-125a-5p plays a role as a tumor suppressor in lung carcinoma cells by directly targeting STAT3 by Lou Zhong, Siyuan Sun, Jiahai Shi, Fei Cao, Xiao Han, Zhong Chen

“…The downregulation of miR-125a-5p provided very contrasting results. Computational algorithms predicted that the STAT3 is a target of miR-125a-5p. …”
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Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis by Yingquan Ye, Yingquan Ye, Haili Jiang, Haili Jiang, Yue Wu, Yue Wu, Gaoxiang Wang, Gaoxiang Wang, Yi Huang, Yi Huang, Weijie Sun, Mei Zhang, Mei Zhang

“…ESTIMATE and CIBERSORT algorithms were performed to assess immune infiltration. …”
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SIGMAR1 screened by a GPCR-related classifier regulates endoplasmic reticulum stress in bladder cancer by Jingming Zhuang, Yang Wang, Xinyong Wu, Zijing Peng, Zhengnan Huang, Chao Zhao, Bing Shen

“…Thereafter, multiple algorithms were employed for the screening of GPCRs and immune cells related to the prognosis of BC. …”
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Network attack detection and visual payload labeling technology based on Seq2Seq architecture with attention mechanism by Fan Shi, Pengcheng Zhu, Xiangyu Zhou, Bintao Yuan, Yong Fang

“…Hence, this article introduced a supervised detection algorithm based on benign samples. Seq2Seq algorithm is been chosen and applied to detect malicious web requests. …”
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Management Decisions under Uncertainty Using Controlling Tools by N. V. Koshkina, O. V. Koshkina, B. A. Tkhorikov

“…The resulting decision-making algorithm is not ideal and, with mass implementation, will lead to an increase in risks in the personnel management of educational organizations. …”
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The design of a context-aware service system in intelligent transportation system by Jingkun Chang, Wenbin Yao, Xiaoyong Li

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CLUSTER AND CONJOINT ANALYSIS FOR DETERMINING ONLINE SHOP SHOPEE CUSTOMERS PREFERENCE BASED ON E-SERVICE QUALITY by Dimas Nurwinata Rinaldi, Fahriza Nurul Azizah, Candra Galang Gemilang Putra

“…The sociodemographic characteristics to be analyzed are gender, education, profession, e-commerce visit, income, and last purchase from the e-commerce. …”
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A grid-based sectoring for energy-efficient wireless sensor networks by Nubunga Ishaya, Mustapha Aminu Bagiwa

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Improved Combinatorial Benders Decomposition for a Scheduling Problem with Unrelated Parallel Machines by Francisco Regis Abreu Gomes, Geraldo Robson Mateus

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Principal Component Analysis and Bacterial Foraging Optimization for Credit Scoring by Jennifer Arjun, Marsudi Wahyu Kisworo, Edi Surya Negara, Usman Ependi

“…So the Bacterial Foraging Optimization algorithm increases accuracy by 2%. For RBF and Poly kernels, the accuracy is the same, namely 78%. …”
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Optimized hybrid deep learning for cross-linguistic sentiment analysis: a novel approach by Vipin Jain, Lokesh Malviya, Anjana .S

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Numerical Analysis of Users’ Body Effects on a Fourteen-Element Dual-Band 5G MIMO Mobile Terminal Antenna by Ahmed Mohamed Elshirkasi, Azremi Abdullah Al-Hadi, Rizwan Khan, Prayoot Akkaraekthalin, Haitham S. Ben Abdelmula, Ahmed M. Belghasem, Akram H. Jebril, Ping Jack Soh

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Simulation of Radial Temperature Field of Overhead Conductors on Qinghai-Tibet Plateau by Zhang Hongwei, Liu Yongdou, Han Zhilei, Luo Junpeng, Liu Shengkun

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Integrative single-cell and metagenomic analysis dissects SARS-CoV-2 shedding modes in human respiratory tract by Xiangxing Jin, Lili Ren, Xianwen Ren, Jianwei Wang

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Spatiotemporal pattern and driving factors of atmospheric CO2 concentrations based on satellite remote sensing from 2001 to 2022 in central Yunnan plateau by Yunling He, Xiaohua Zhang, Ning Pu, Chunyan Wu, Wu Tang

“…Random Forest (RF) algorithm was used to gain insight into the nonlinear effects of these different indicators on near-formation atmospheric CO2 concentrations. …”
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A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification by Wei Zhang, Xianlun Tang, Xiaoyuan Dang, Mengzhou Wang

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