Enhancing phase change thermal energy storage material properties prediction with digital technologies by Minghao Yu, Jing Liu, Cheng Chen, Mingyue Li

“…It aligns with current trends in leveraging advanced digital technologies to enhance materials discovery, offering a robust, scalable, and extensible framework for the optimization and design of advanced materials in various industrial, technological, and scientific applications.…”
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A Low‐Latitude Three‐Dimensional Ionospheric Electron Density Model Based on Radio Occultation Data Using Artificial Neural Networks With Prior Knowledge by Ding Yang, Hanxian Fang

“…Abstract The accurate estimation of electron density in the ionosphere is crucial for various applications including remote sensing systems, communication, satellite positioning, and navigation. …”
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View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification by Shenrun Ding, Jiarui Chen, Tongwei Gao, Yinghao Ye, Xiaohuan Lu

“…Abstract Despite significant advancements in multi-view multi-label learning driven by its broad applicability, real-world scenarios frequently suffer from dual incompleteness in both view and label spaces due to data acquisition uncertainties. …”
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Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

“…In contrast, the random forest model outperformed others on the downscaled daily data, reaching an accuracy of $$95.8\%$$ 95.8 % , thereby supporting the efficacy of data downscaling for ML applications in epidemiology. Comparative analysis reveals that downscaling provided a $$28.5\%$$ 28.5 % improvement in accuracy and an $$89.3\%$$ 89.3 % reduction in mean absolute percentage error (MAPE) over non-downscaled data which has been proven to be statistically significant using the Wilcoxon signed rank test, illustrating the substantial advantages of employing downscaling for effective DENV forecasting. …”
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Acoustic Fabry–Perot Resonance Detector for Passive Acoustic Thermometry and Sound Source Localization by Yan Yue, Zhifei Dong, Zhi-mei Qi

“…Acoustic temperature measurement (ATM) and sound source localization (SSL) are two important applications of acoustic sensors. The development of novel acoustic sensors capable of both ATM and SSL is an innovative research topic with great interest. …”
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Predicting wheat yield using deep learning and multi-source environmental data by Muhammad Ashfaq, Imran Khan, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Furthermore, this adaptable framework can serve as a model for similar applications in other agricultural regions around the world.…”
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Design and Development of a Self-tuning Fuzzy PID Controller for Evaporative Cooling system to Preserve Fruits and Vegetables by Dawit Ashagrie Tarekegn, Tefera Terefe Yetayew

“…This research offers a robust solution for preservation agricultural produce, food and beverage, contribute agricultural engineering with potential applications in various storage and transportation environments. …”
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Predictive modeling of ADME properties using M-polynomial based topological indices for biocompatible polysaccharides by W. Eltayeb Ahmed, Muhammad Naeem, Muhammad Kamran Siddiqui, Mohamed Abubakar Fiidow

“…An in-depth understanding of these structural properties is essential for applications in drug delivery, biomedical engineering, and polymer-based therapeutics. …”
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Research on Mechanical Properties of Non-Directly Welded Reinforced Casings Under High Stress Ratio by Yiwei Fang, Yuming Li, Kuntao Xing, Zhe Liu

“…Combining the theoretical calculations with numerical simulations, an empirical formula for estimating the ultimate bearing capacity of the reinforced pipe specimens was derived. The relative error of the formula is less than 10% with the experimental outcomes and the finite element analysis results thereby offering a reliable tool for engineering applications.…”
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Anesthesia depth prediction from drug infusion history using hybrid AI by Liang Wang, Yiqi Weng, Wenli Yu

“…Future research will focus on refining model robustness, exploring real-time applications, and addressing potential biases in predictive analytics to further improve clinical decision-making.…”
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Photonics-based modular multistate digital coherent system by I. V. Unchenko, A. A. Emelyanov

“…Due to their broadbandness and complementary structure, modules and submodules have many applications both as self-sustained devices and as part of more complex systems.Results. …”
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Magnetometry, Acoustical and Inertial Indoor-Positioning in Healthcare by I. V. Cherepanova, I. V. Pospelova, D. S. Bragin, V. N. Serebryakova

“…Inertial sensors possess high accuracy, but over time, the measurement error increases. There-fore, the sensors need to regular correction. …”
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Modeling and Performance Analysis of MDM−WDM FSO Link Using DP-QPSK Modulation Under Real Weather Conditions by Tanmeet Kaur, Sanmukh Kaur, Muhammad Ijaz

“…Free space optics (FSOs) is an emerging technology offering solutions for secure and high data rate transmission in dense urban areas, back haul link in telecommunication networks, and last mile access applications. It is important to investigate the performance of the FSO link as a result of aggregate attenuation caused by different weather conditions in a region. …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…In precision dairy farm production, these codes may serve as a foundation for developing mobile applications.…”
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Comparative Analysis of Lab-Data-Driven Models for International Friction Index Prediction in High Friction Surface Treatment (HFST) by Alireza Roshan, Magdy Abdelrahman

“…A laboratory design approach was created to assess the fundamental ideas behind the international friction index (IFI) concept and update the present IFI model parameters for HFST applications based on test findings to gain a better understanding of HFST performance. …”
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On the effectiveness of neural operators at zero-shot weather downscaling by Saumya Sinha, Brandon Benton, Patrick Emami

“…Neural operators, which learn solution operators for a family of partial differential equations, have shown great success in scientific ML applications involving physics-driven datasets. Neural operators are grid-resolution-invariant and are often evaluated on higher grid resolutions than they are trained on, i.e., zero-shot super-resolution. …”
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Cross-thermal streamline patterns and heat transfer in EP-nanofluids: a neural network approach with uncertainty analysis by Umar Farooq, Ali Alshamrani, M. Mahtab Alam, Khadija Rafique

“…Cross-thermal streamline patterns further enhance insights into flow dynamics, underscoring the model's potential in biomedical applications.…”
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A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors by Nahshon Obiri, Kristof van Laerhoven

“…Compared to a baseline model that considers only Multiple Walls (LDPLSM-MW), the enhanced approach reduced the root mean square error (RMSE) from 10.58 dB to 8.04 dB and increased the coefficient of determination (R2) from 0.6917 to 0.8222. …”
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Speaker Identification and Verification Using Convolutional Neural Network CNN by Azhar S. Abdulaziz, Akram Dawood, Amar Daood

“… Speaker identification and verification are important fields contributing to smart IoT, phone banking, remote login services, E-learning, and other applications. In this work, the speaker identification and verification processes have been experimentally proven to have mutual enhancement effects if they are merged together in a proper manner. …”
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A Novel Uranium Quantification Method Based on Natural <i>γ</i>-Ray Total Logging Corrected by Prompt Neutron Time Spectrum by Yan Zhang, Jinyu Deng, Bin Tang, Haitao Wang, Rui Chen, Xiongjie Zhang, Zhifeng Liu, Renbo Wang, Shumin Zhou, Jinhui Qu

“…Experimental results from standardized model wells indicate that, in sandstone-type uranium deposits, the absolute error of uranium content is within <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>±</mo><mn>0.002</mn><mo>%</mo><mspace width="3.33333pt"></mspace><mi>eU</mi></mrow></semantics></math></inline-formula>, and the relative error is within <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>±</mo><mn>2.5</mn><mo>%</mo></mrow></semantics></math></inline-formula>. …”
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