Research on Optimization of Magnetic Ranging by Mechanism & Intelligence by QIAN Hongyu, CHE Yang, WANG Xiufang, FENG Fuping, JIANG Chunlei

“…To address this, a multi-layer perceptron (MLP) algorithm is introduced to predict well spacing. …”
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Machine Learning Predictors for Min-Entropy Estimation by Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-Sánchez

“…This study investigates the application of machine learning predictors for the estimation of min-entropy in random number generators (RNGs), a key component in cryptographic applications where accurate entropy assessment is essential for cybersecurity. …”
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The impact of clinical audits on improving the effectiveness of type 2 diabetes mellitus (T2DM) CARE in primary health centers: A comprehensive pre-post analysis through multi-laye... by Ansif Pallath Majeed, Niyaz Panakaje, Shajitha Thekke Veettil, Kiran Harikumar, Hanan Al Mujalli, Abdul Ali Shah, Noora Jassim AlKubaisi, Ahmed Sameer Alnuaimi

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Efficacy and safety of stem cells in the treatment of glaucoma: systematic review and meta-analysis based on animal experiments by Danning Wu, Yanjing Liu, Xia Zhang, Ruixuan Zhang, Shaopeng Wang, Hui Lu, Tao Yue

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Skip-based combined prediction method for distributed photovoltaic power generation by WU Minglang, PANG Zhenjiang, HONG Haimin, ZHAN Zhaowu, JIN Fei, TANG Yuanyang, YE Xuan

“…In model construction, we propose a multi-layer model fusion method based on residual connections. …”
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Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest by Bechu K. V. Yadav, Arko Lucieer, Gregory J. Jordan, Susan C. Baker

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Tailoring the number of lines for IGO-channel 2T0C DRAM comparable to conventional 2-line operation 1T1C structure for highly scaled cell volume by Jae-Hyeok Kwag, Su-Hwan Choi, Daejung Kim, Jun-Yeoub Lee, Taewon Hwang, Hye-Jin Oh, Chang-Kyun Park, Jin-Seong Park

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Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data by Bifeng Hu, Qian Zhu, Modian Xie, Yibo Geng, Yali Wen, Shuhan Peng, Yanru Qiu, Xiya Jin, Pengbo Zhang, Hongyi Li, Zhou Shi

“…The total SOC stock in the plow layer of the survey region is 9148.33 × 104 tons. …”
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Integrating analysis of multi-omics summary data identifies novel plasma protein biomarkers and drug targets for bladder cancer by Jinlong Cao, Siyu Chen, Jirong Wang, Xinpeng Fan, Shanhui Liu, Jiaqi Shan, Xiaoran Li, Li Yang

“…This study aims to address the diagnostic and therapeutic challenges of bladder cancer (BC) by using Mendelian randomization (MR) with a large sample size from multiple centers to identify the plasma proteins which are causally related to the pathogenesis of BC. …”
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Mapping groundwater potential zone by robust machine learning algorithms & remote sensing techniques in agriculture dominated area, Bangladesh by M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md Fuad Hassan

“…Furthermore, the research uses 340 well and non-well sites as inventory data. This is randomly divided into two datasets: training (80 %) and testing (20 %). …”
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Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition by Ratnesh Kumar Shukla, Arvind Kumar Tiwari

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APPLICATION AND PERFORMANCE COMPARISON OF MULTI-OUTPUT MACHINE LEARNING FOR NUMERICAL-NUMERICAL AND NUMERICAL-CATEGORICAL OUTPUTS by Karin Joan, Robyn Irawan, Benny Yong

“…The models used in this research include Multivariate Regression Tree, Multivariate Random Forest, and Multi-Output Neural Network. The Multivariate Regression Tree and Multivariate Random Forest are developed by modifying the splitting function using Mahalanobis distance. …”
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Effects of pressure garments of varying designs on upper extremity sensorimotor functions and quality of life after stroke: Study protocol for a multicenter, double-blind, prospect... by Zhenkun Xu, Siaw Chui Chai, Shin Ying Chu, Kuicheng Li

“…<h4>Methods and design</h4>This is a multicenter, double-blind, prospective randomized controlled, three-group trial. At three hospitals in Shandong, China, 165 patients within 1-12 months of stroke are randomly assigned (1:1:1) to receive Dorsal-Double-layered 10% circumferential reduction (DD-10, intervention), Single-layered 10% circumferential reduction (S-10, intervention), or Single-layered 0% circumferential reduction (S-0, placebo) pressure garments. …”
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Improving computational drug repositioning through multi-source disease similarity networks by Duc-Hau Le

“…We applied a tailored Random Walk with Restart (RWR) algorithm to predict novel drug-disease associations. …”
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Secure and Lightweight Cipher for Resource-constrained IoT Healthcare Applications using Snake Key Generation by Saja Kareem Ismael, Mohamed Ibrahim Shujaa, Ahmed Bahaaulddin A. Alwahhab

“…Our study conducts a series of NIST randomness tests to compare the performance of these key generators in terms of randomness, resilience to cryptographic attacks and computational efficiency. …”
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A comparative study between classically inverted and temporally inverted internal limiting membrane flap technique in the treatment of macular hole by Hassan M. Hegazy, Ashraf M. Gad, Ibrahim F.M. Ibrahim

“…Patients and methods A prospective, randomized, interventional, comparative study was conducted at Al-Azhar University hospitals on 40 eyes of 40 patients with macular holes randomized to two groups: group I (20 patients) undergone pars plana vitrectomy with classic inverted ILM flap and group II (20 patients) undergone pars plana vitrectomy with the temporal inverted ILM flap technique. …”
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Plasma pQTL and brain eQTL integration identifies PNKP as a therapeutic target and reveals mechanistic insights into migraine pathophysiology by Jiafei Lou, Miaoqian Tu, Maosheng Xu, Zhijian Cao, Wenwen Song

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Enhanced Indoor Pedestrian Tracking Using UWB/PDR Fusion and NLOS Error Mitigation by Shoude Wang, Nur Syazreen Ahmad

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Rapid Discrimination of Aging Year of Chenpi Based on Hyperspectral Images by Cheng LIU, Lulu ZHAO, Songbin ZHOU, Yisen LIU, Tingyou WANG

“…This approach evaluated the importance of spectral bands across multiple Rep-block layers, indicating band significance while considering inter-band and remote correlations. …”
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Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning by Zipeng Zhao, Yuman Sun, Weiwei Jia, Jinyan Yang, Fan Wang

“…Six prevalent machine learning models were adopted, and a unified learning framework leveraged a Random Forest (RF) as a second-layer model to enhance the predictive performance of these base models. …”
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