Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data. by Qihai Liu, Kevin H Lee, Hyun Bin Kang

“…In this work, we propose finite mixtures of functional graphical models (MFGM), which detect the heterogeneous subgroups of the population and estimate single graph for each subgroup by considering the correlation structures. …”
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Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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Asynchronous bearing only tracking management approach in distributed multi-function integrated sensors by ZHANG Wei, YANG Qiu, LI Hao

“…The distributed multi-function system requires only one integrated sensor to switch to electronic support measure (ESM) mode within each tracking cycle to update the angle measurement information of target radiation source, while the other integrated sensors still work in the original planned mode and task. …”
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STATISTICAL DATA AND ANALYSIS OF LITERATURE SOURCES ON PATHOPHYSIOLOGICAL MECHANISMS OF THE CROSSTALK BETWEEN ACUTE KIDNEY AND LIVER INJURY IN PRETERM NEWBORNS DURING THE EARLY NEO... by О. Оболонська, Л. Вакуленко

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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“…The system goes beyond traditional LMS functionalities by providing suggestions to enhance and diversify lessons. …”
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Elucidating the role of compositional and processing variables in tailoring the technological functionalities of plant protein ingredients by Lorenzo Barozzi, Stella Plazzotta, Ada Nucci, Lara Manzocco

“…However, other extraction, purification, and drying methods can be properly combined, resulting in specific PP ingredient functionalities. Overall, this review highlights that, besides protein purity and source, knowledge of the processing history is required to select PP ingredients with desired functionalities.…”
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A High‐Quality Reference Genome and Comparative Genomics of the Widely Farmed Banded Cricket (Gryllodes sigillatus) Identifies Selective Breeding Targets by Shangzhe Zhang, Kristin R. Duffield, Bert Foquet, Jose L. Ramirez, Ben M. Sadd, Scott K. Sakaluk, John Hunt, Nathan W. Bailey

“…The high‐quality G. sigillatus genome assembly plus accompanying comparative genomic analyses serve as foundational resources for both applied and basic research on insect farming and behavioural biology, enabling researchers to pinpoint trait‐associated genetic variants, unravel functional pathways governing those phenotypes, and accelerate selective breeding efforts to increase the efficacy of large‐scale insect farming operations.…”
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A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Wind power, as a pivotal renewable energy source, is anticipated to play a critical role in ensuring the reliability, security, and stability of the global energy supply system. …”
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Diversity and Abundance of Breeding Birds, Habitat, and Nesting Substrate Selection in Urban Areas: A Relevant Case from the Southern Slope of the Mediterranean by Ikram Douini, Wafae Squalli, Ismail Mansouri, Mohamed Mounir, El-Mostafa Benka, Mohamed Dakki, Soumaya Hammada

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Harnessing Deep Learning With AlexNet for Tomato Leaf Disease Detection in the Indian Himalayan Terrain by Ruchika Sharma, Sameena Naaz, Pankaj Vaidya

“…Agriculture is essential for living in the Indian Himalayan region (IHR), as it functions as the main occupation and source of income. …”
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Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability by Vincent Zibi Mohale, Ibidun Christiana Obagbuwa

“…Machine Learning (ML)-based Intrusion Detection Systems (IDS) are integral to securing modern IoT networks but often suffer from a lack of transparency, functioning as “black boxes” with opaque decision-making processes. …”
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Multimodal imaging analysis and structure-function correlation in patients exposed to pentosan polysulfate sodium by Sandra Hoyek, Eleni Konstantinou, Francesco Romano, Darren Chen, Celine Chaaya, Magdalena G. Krzystolik, Daniel Hu, Rachel Huckfeldt, Demetrios G. Vavvas, Leo A. Kim, Jason Lee, Elise De, John B. Miller, Nimesh A. Patel

“…Purpose: To study the anatomic and functional retinal changes in patients exposed to pentosan polysulfate (PPS) using multimodal imaging and mesopic microperimetry. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Principles of Organization and Functioning of Mini-CHP Plants Using Local Fuels in Conditions of Hydrogen Energy by R. S. Ignatovich

“…It is noted that a potential way to develop such energy sources is to switch to multi-purpose product development based on the principles of operation of the energy hub, which will potentially reduce the dependence of the energy source on the operation of the Unified Energy System (UES). …”
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A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied to vehicle detection in the fields of road, marine, and aviation transportation. …”
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Objective Function Formulation to Optimize Control Structure Parameters Using Nature-Inspired Optimization Algorithms by Rafal Szczepanski, Krystian Erwinski, Tomasz Tarczewski

“…The proposed general methodology was presented and discussed in detail using an example, which is published in the open-source repository Mathwork FileExchange. Theoretical aspects are validated in the case studies for automatic tuning of the hysteresis and PI controller.…”
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Research on Fault Detection Technology for Circuit Breaker Operating Mechanism Combinations Based on Deep Residual Networks by Hongping Shao, Yizhe Jiang, Jianeng Zhao, Xueteng Li, Mingzhan Zhang, Mingkun Yang, Xinyu Wang, Hao Yang

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Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

“…In experiments with semisynthetic images, we evaluate the method on key cataloging tasks: light source detection, star/galaxy separation, and flux measurement. …”
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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The training time did not exceed 0.5 s for fault detection and 0.3 s for fault diagnosis. This swift convergence, coupled with the minimal training times, underscores the efficiency of the proposed feature engineering process and the selected classifiers.…”
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