Analysis and prediction of infectious diseases based on spatial visualization and machine learning by Yunyun Cheng, Yanping Bai, Jing Yang, Xiuhui Tan, Ting Xu, Rong Cheng

“…Finally, a multi algorithm fusion learning model based on stacking technology is proposed to address the problem of poor generalization ability of single algorithm models in prediction; Furthermore, radial basis function network (RBF) was used as a two-level meta learner to fuse the above models, and particle swarm optimization (PSO) was used to optimize RBF parameters to reduce generalization error. The experimental results show that the performance of the integrated model is better than that of the single model in the COVID-19 dataset. …”
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Design, development, and evaluation of a low-cost smart solar-powered weather station for use in agricultural environments by Hamed Mokhtarzadeh, Shiva Gorjian, Saeid Minaei

“…Understanding climatic conditions is crucial for various scientific disciplines and practical applications, especially in tropical regions where weather patterns exhibit considerable spatial and temporal variability. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…Additionally, the model maintains an average time estimation error within <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5.55</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup></mrow></semantics></math></inline-formula> s and provides preliminary center frequency estimation in the broadband spectrum. …”
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The scale of attitudes toward workplace sexual harassment disclosure: development and validation among Iranian nurses by Samaneh Behzadi Fard, Mohammad Reza Baneshi, Farideh Razban, Mahlagha Dehghan

“…Clinical trial number Not applicable.…”
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The role of AI for MRI-analysis in multiple sclerosis—A brief overview by Jean-Pierre R. Falet, Jean-Pierre R. Falet, Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Berardino Barile, Amar Kumar, Amar Kumar, Joshua Durso-Finley, Joshua Durso-Finley, Tal Arbel, Tal Arbel, Douglas L. Arnold

“…Nevertheless, modern day usage of MRI in the clinic is limited by lengthy protocols, error-prone procedures for identifying disease markers (e.g., lesions), and the limited predictive value of existing imaging biomarkers for key disability outcomes. …”
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Estimation of lower limb torque: a novel hybrid method based on continuous wavelet transform and deep learning approach by Shu Xu, Tao Wang, Zenghui Ding, Yu Wang, Tongsheng Wan, Dezhang Xu, Xianjun Yang, Ting Sun, Meng Li

“…Experimental validation on public datasets demonstrates high accuracy, with a root mean square error (RMSE) of 0.16 N·m/kg, Coefficient of Determination (R2) of 0.91, and Pearson correlation coefficient of 0.95. …”
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Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

“…It enables precise phenotyping through accurate image acquisition and analysis. In practical applications, this method improves the breeding process by rapidly and non-invasively assessing key traits such as the size and color of shiitake mushroom caps, which helps in efficiently screening strains and reducing human errors. …”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…The resource limitations of Low-Power Wireless Networks (LP-WNs), such as Wireless Sensor Networks (WSNs), Wireless Actuator/Sensor Networks (WA/SNs), and Internet of Things (IoT) outdoor applications, restrict the utilization of the error-performance-enhancing techniques and the use of the powerful and robust security tools. …”
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Bonding behavior of lap-spliced reinforcing bars embedded in ultra-high-performance concrete with steel fibers by Krairerk Aiamsri, Teerasak Yaowarat, Suksun Horpibulsuk, Apichat Suddeepong, Apinun Buritatum, Kanchana Hiranwatthana, Kirati Nitichote

“…This method achieves an error margin below ±16.5%, providing an accurate approach for practitioners. …”
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Modeling of critical sand-carrying flow rate of gas-liquid-solid three-phase flow in an inclined pipe by Guowei Wang, Yong Zhang, Junwei Sun, Qi Xia, Manlai Zhang, Ruiquan Liao

“…Compared with models proposed by previous scholars, the new model significantly improves computational accuracy (error within 9 %) and expands the applicability range by introducing the particle specific surface area and slip factor to quantify the morphological characteristics of non-spherical particles and the slip effects between multiphase fluids, respectively.…”
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Comprehensive analysis on soil nitrogen prediction using near-infrared spectroscopy: Models, methods, and insights for precision agriculture by Xiaoyu Wang, Zhiyou Zhang, Yujiao Li, Jie Li, Qing Yang, Qiqi Liu, Zhijie Gong, Mengling Zhang, Xu Wang, Guanghui Xie

“…And the relative analysis errors of the calibration and the prediction set were greater than 2.0, with the highest RPDc value of 4.68 and the highest RPDp value of 5.706. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…The optimization process for NN required extensive trial and error, as no universal guidelines for parameter selection were applicable in this context. …”
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Assimilation of INSAT-3D imager retrieved aerosol optical depth for enhanced dust storm prediction using WRF-Chem model by Aman W Khan, Dilip Ganguly, Sagnik Dey, Atul Kumar Varma, Prashant Kumar

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Mapping the Carrier Phase of a Propagating Wave by Wireless Two-Way Interferometry Scanned by a Mobile Robot by Takaaki Nara, Yoshito Okada, Shotaro Kojima, Ranulfo Bezerra, Kazunori Ohno, Suguru Kameda, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro

“…The system achieves a root mean square error (RMSE) of <inline-formula> <tex-math notation="LaTeX">$\leq 0.2\,\mathrm {rad}$ </tex-math></inline-formula> across five trials. …”
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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…The sum of the square error of the proposed algorithm is 1.18E-11 followed by the parent algorithm, Fennec fox algorithm (FFA) (1.24E-09), and some of the compared algorithms. …”
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Source Localization via Doppler Shifts Using Mobile Sensors in ICNets Within Industry 5.0 by Lina Wang, Xiaoting Mao, Kai Fang, Ali Kashif Bashir, Marwan Omar, Xiaoping Wu, Wei Wang

“…Source localization plays a significant role in industrial 5.0 applications by availing of the communication networks. …”
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Performance enhancement of drone LiB state of charge using extended Kalman filter algorithm by Kamal Anoune, Ismail El Kafazi, Anas El Maliki, Badre Bossoufi, Badr NASIRI, Hana Zekraoui, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…The results demonstrate that the proposed SoC_EKF method significantly outperforms the conventional SoC_AH approach, achieving a lower estimation error (1.93 × 10−4 vs. 7.21 × 10−4), leading to improved energy efficiency, reduced carbon footprint, and more reliable, eco-friendly drone operations for clean technology applications.…”
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Smart photonic wristband for pulse wave monitoring by Renfei Kuang, Zhuo Wang, Lin Ma, Heng Wang, Qingming Chen, Arnaldo Leal Junior, Santosh Kumar, Xiaoli Li, Carlos Marques, Rui Min

“…The results indicated that the smart photonic wristband had a high signal-to-noise ratio and low latency, with the measurement error controlled at approximately 3.7%. This optimized pulse signal could be used for further medical diagnosis and was capable of objectively monitoring subtle pulse signal changes, such as the pulse waveform at different positions of Cunkou and pulse waveforms before and after exercise. …”
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The role of feed-in tariffs in encouraging insurance companies to invest in renewables by Serhiy Lyeonov, Artem Artyukhov, Laura Bokenchina, Diana Sitenko, Yuliia Yehorova, Maksym Zhytar, Alla Moroz

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An 82-m 9 Gb/s PAM4 FSO-POF-UWOC Convergent System by Chung-Yi Li, Hai-Han Lu, Yun-Chieh Wang, Zhen-Han Wang, Chung-Wei Su, Yi-Feng Lu, Wen-Shing Tsai

“…The performances of the proposed convergent systems are analyzed by bit error rate and non-return-to-zero eye diagram in real-time over an 82-m transport. …”
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