Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification by Lili Yang, Yi Yang, Peng Liu, Lina Wang

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A multitasking ant system for multi-depot pick-up and delivery location routing problem with time window by Haoyuan Lv, Ruochen Liu, Jianxia Li

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Design of Groundwater Extraction in Open Cut Foundation Pit and Simplified Calculation of Ground Subsidence due to Dewatering in Sandy Pebble Soil Strata by Lu Zhang, Xiaojun Zhou, Yingdong Pan, Bowen Zeng, Dongfeng Zhu, Huaizu Jiang

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A multistate transition model for survival estimation in randomized trials with treatment switching and a cured subgroup by Haixia Hu, Ling Wang, Kejian Wu, Wei Ge, Jielai Xia, Chen Li

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Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography by Joseph Shtok, Michael Elad, Michael Zibulevsky

“…Our numerical simulations indicate that the proposed algorithm can manage well with noisy measurements, allowing a dose reduction by a factor of 4, while reducing noise and streak artifacts in the FBP reconstruction, comparable to the performance of a statistically based iterative algorithm.…”
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Blind-Matched Filtering for Speech Enhancement with Distributed Microphones by Sebastian Stenzel, Jürgen Freudenberger

“…A multichannel noise reduction and equalization approach for distributed microphones is presented. …”
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Spatial-Temporal Correlative Fault Detection in Wireless Sensor Networks by Zhiping Kang, Honglin Yu, Qingyu Xiong, Haibo Hu

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QSAR, docking and pharmacokinetic studies of 2,4-diphenyl indenol [1,2-B] pyridinol derivatives targeting breast cancer receptors by Auwal Isa, Adamu Uzairu, umar Umar, Muhammad Tukur Ibrahim, Abdullahi Umar

“…A robust quantitative structure-activity relationship (QSAR) model, developed using genetic algorithms and multilinear regression analysis, predicts chemical activity (pGI50) against breast cancer receptors. …”
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Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning by Joao P. A. Dantas, Marcos R. O. A. Maximo, Takashi Yoneyama

“…By applying imitation learning techniques and comparing three algorithms – Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) – the research trains models to predict aircraft control inputs through sequences of state-action pairs. …”
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Decoding circRNA translation: challenges and advances in computational method development by Jingjing Zhang, Jingjing Zhang, Rui Zhou, Rui Zhou, Huiling Zhang, Yin Peng, Jintao Meng, Wenhui Xi, Yanjie Wei

“…Subsequently, we provide a systematic introduction to existing circRNA translation analysis tools and their underlying algorithms, with emphasis on benchmarking the performance of sequence-based methods using a unified dataset. …”
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Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clinic by Darius Chapman, Campbell Strong, Kathryn D Tiver, Dhani Dharmaprani, Even Jenkins, Anand N Ganesan

“…Results: The study achieved high accuracy in predicting pass or fail outcomes of quantitative fit tests for flat-fold P2 FFRs. …”
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A Novel ANN-PSO Method for Optimizing a Small-Signal Equivalent Model of a Dual-Field-Plate GaN HEMT by Haowen Shen, Wenyong Zhou, Jinye Wang, Hangjiang Jin, Yifan Wu, Junchao Wang, Jun Liu

“…We initially train an ANN model to predict the S-parameters of the device, and subsequently utilize the PSO algorithm for parameter optimization. …”
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The Numerical Technique Based on Shifted Jacobi-Gauss-Lobatto Polynomials for Solving Two Dimensional Multi-Space Fractional Bioheat Equations by Firas Amer Al-Saadawi, Hameeda Al-Humedi1

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NMR-based metabolomic approach to estimate chemical and sensorial profiles of olive oil by Gaia Meoni, Leonardo Tenori, Francesca Di Cesare, Stefano Brizzolara, Pietro Tonutti, Chiara Cherubini, Laura Mazzanti, Claudio Luchinat

“…By integrating NMR data with traditional chemical analyses and sensory evaluation, we developed multivariate models to evaluate the predictive power of NMR spectra coupled with machine learning algorithms for 50 distinct olive oil quality parameters, including physicochemical properties, fatty acid composition, total polyphenols, tocopherols, and sensory attributes. …”
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Balanced Truck Dispatching Strategy for Inter-Terminal Container Transportation with Demand Outsourcing by Yucheng Zhao, Yuxiong Ji, Yujing Zheng

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A seepage calculation method in geomaterials based on the novel improved DEM-FDM by Xuan Tang, Chong Shi, Chengfu Hu, Lingkai Zhang

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Clinical Case of Primary Adrenal Insufficiency: Diagnostic Difficulties, Therapeutic Tactics by P. S. Samozhenova, E. E. Gubernatorova, T. V. Adasheva, E. I. Goruleva, E. G. Lobanova

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Socioeconomic factors and all cause and cause-specific mortality among older people in Latin America, India, and China: a population-based cohort study. by Cleusa P Ferri, Daisy Acosta, Mariella Guerra, Yueqin Huang, Juan J Llibre-Rodriguez, Aquiles Salas, Ana Luisa Sosa, Joseph D Williams, Ciro Gaona, Zhaorui Liu, Lisseth Noriega-Fernandez, A T Jotheeswaran, Martin J Prince

“…In Europe, the effects of better education and home ownership upon mortality seem to persist into old age, but these effects may not generalise to LMICs. …”
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METHODS OF MATHEMATICAL STATISTICS AS A MEANS OF PROFESSIONAL COMPETENCE FORMATION OF STUDENTS-ECOLOGISTS by S. I. Toropova

“…Today, the worsening conditions of the human habitat are generating considerable interest in terms of the active development of the system of ecological education and education of the population. Special requirements in modern conditions are imposed to the qualification and competence of environmental professionals: to possess the skills for independent collecting reliable ecological information and to be able to analyze it by means of rigorous mathematical calculations; to perform necessary measurements and calculations within observations and experiments; to choose and to competently realize an adequate algorithm or a mathematical method for the solution of a specific ecological task; to make evidence-based forecasts of changes of environmental conditions. …”
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Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer by Yuanhui Zhu, Shakthi B. Murugesan, Ivone K. Masara, Soe W. Myint, Joshua B. Fisher

“…With these data, we predicted over 90% of all wildfire occurrences 1 week ahead of these wildfire events. …”
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