Long-Tune Natural Logarithmic Wavelength Modulation Spectroscopy for Gas Sensing by Lijuan Lan, Changsheng Zhang, Yibo Wang, Yu Xie, Luheng Wang, Chunhua Yang

“…In ln-WMS, due to the natural logarithm algorithm, the harmonic magnitude which is related to gas concentration would not be affected by the light intensity fluctuations. …”
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Knowledge Extraction via Machine Learning Guides a Topology‐Based Permeability Prediction Model by Jia Zhang, Gang Ma, Zhibing Yang, Jiangzhou Mei, Daren Zhang, Wei Zhou, Xiaolin Chang

“…Commonly used empirical formulas neglect its microscopic and topological characteristics, thus lacking accuracy and adaptability. While machine learning (ML) and deep learning (DL) models demonstrate promising performance, but encounter challenges of data availability, computational cost, and model interpretability. …”
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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…The CSA optimizes the voltage source inverter’s control signal, while RERNN predicts the optimal control signal. …”
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Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen, Xiaoguang Xu

“…This study introduces a method to enhance multispectral surface reflectance data by reconstructing additional spectral information, particularly in the visible spectral range, using the TROPOMI BRDF product generated by the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm. Employing non-negative matrix factorization (NMF), the approach extracts spectral basis vectors from reference spectral libraries and reconstructs key spectral features using a limited number of wavelength bands. …”
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Faster Convergence With Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning Over Wireless Networks by Daniel Perez Herrera, Zheng Chen, Erik G. Larsson

“…Decentralized stochastic gradient descent (D-SGD) is a widely adopted optimization algorithm for decentralized training of machine learning models across networked agents. …”
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Line-Frame Combined Multi-Slit Hyperspectral Imaging System for Simplified and High-Precision UAV Remote Sensing Solution by Liangjie Huang, Xiyu Zhou, Jiamin Huang, Li Shao, Weimin Shen, Jiacheng Zhu

“…At the same time, the system employs a multislit time-sharing sampling strategy to enable repeated spectral measurements while reducing sampling loss and maintaining data authenticity. …”
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Application of Naive Bayes and Forward Chaining Methods in a Web-Based Expert System for Stunting Diagnosis in Toddlers by Ayu Fadilah, Raissa Amanda Putri

“…This method is a probability-based algorithm that is used to classify the possibility of a condition based on existing symptoms. …”
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Sensorless Design and Analysis of a Brushed DC Motor Speed Regulation System for Branches Sawing by Shangshang Cheng, Huijun Zeng, Zhen Li, Qingting Jin, Shilei Lv, Jingyuan Zeng, Zhou Yang

“…The improved ripple detection algorithm effectively preserves critical signals while reducing noise. …”
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Stochastic sizing and energy management of a hybrid energy system using cloud model and improved Walrus optimizer for China regions by Wenjun Liao, Qing Xiong, Zilong Chen, Jinhui Tan, Pingfei Li, Hadi Gharoei

“…The framework incorporates a cloud model to address uncertainties in renewable generation and system load, with aim of the cost of energy (COE) while satisfying the loss of energy probability (LOEP). …”
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Analysis of approaches to identification of trend in the structure of the time series by U. S. Mokhnatkina, D. V. Parfenov, D. A. Petrusevich

“…A combination of polynomial model for trend description and ARIMA for seasonally description and combination of ACD algorithm for trend and ETS for seasonal model obtained good forecasts in case of seasonal time series, while Fourier time series as a trend model also achieved close quality of prediction.Conclusions. …”
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Robust Optimal Control for a Microbial Batch Culture Processes: Incorporating Free Terminal Time and Sensitivity Analysis by Yang Qi, Zheng Shijin, Xie Suzhen, Feng Enmin

“…Subsequently, we develop an improved particle swarm optimization algorithm to solve this equivalent problem. Finally, the trade-off between production efficiency and process robustness is systematically assessed through numerical simulations. …”
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Assessing compliance to reporting mandates in glioblastoma-related clinical trials. by Nicholas Kendall, Julian S Rechberger, Abdelrahman M Hamouda, Mark Cwajna, Sherief Ghozy, Kogulavadanan Arumaithurai, David F Kallmes

“…<h4>Methods</h4>We utilized a previously published algorithm to identify studies on ClinicalTrials.gov likely mandated to report. …”
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Robust InceptionV3 with Novel EYENET Weights for Di-EYENET Ocular Surface Imaging Dataset: Integrating Chain Foraging and Cyclone Aging Techniques by Muhammad Ahmad Khan, Saif Ur Rehman Khan, Hafeez Ur Rehman, Suliman Aladhadh, Ding Lin

“…Abstract Predicting diabetic types from ocular surface eye images is a challenging task due to subtle variations in features and the potential overlap in presentations among different diabetic types. While AI-based algorithms have shown promise in distinguishing these nuances, gaps remain in the accuracy and adaptability of existing models, especially in the context of medical imaging for diabetes classification. …”
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StratLearn-z: Improved photo-$z$ estimation from spectroscopic data subject to selection effects by Chiara Moretti, Maximilian Autenrieth, Riccardo Serra, Roberto Trotta, David A. van Dyk, Andrei Mesinger

“…We benchmark our results against the GPz algorithm, quantifying the performance of the two algorithms with a set of metrics. …”
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Toward a conceptual model to improve the user experience of a sustainable and secure intelligent transport system by Abdullah Alsaleh

“…These findings highlight the potential of the VCITS model to advance smart traffic management while addressing computational efficiency and security challenges. …”
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Convolutional neural network approach for fault detection and characterization in medium voltage distribution networks by Atefeh Pour Shafei, J.Fernando A. Silva, J. Monteiro

“…Simulation results reveal that while the voltage Park's vector time behavior of a healthy system remains stable, it exhibits circular or mixed patterns under faulty conditions. …”
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Optimization of diagnostics of retinopathy of prematurity stages based on the integration of clinical data using the Key to Diagnosis I software by O. A. Pererva, M. A. Kovalevskaya

“…Despite the improvement of algorithms of preterm infants’ management, methods for predicting, diagnosing and treating ROP remains a vital issue.   …”
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Railway Foreign Object Intrusion Detection Using UAV Images and YOLO-UAT by Yang Yang, Zhanhao Liu, Junming Chen, Haiming Gao, Tao Wang

“…Concurrently, the K-means++ algorithm is introduced to cluster the a priori frames, which improves the accuracy and convergence speed of the a priori frame clustering. …”
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Alternative Support Threshold Computation for Market Basket Analysis by Damiano Verda, Marco Muselli

“…The support determination technique is implemented as an extension to the Apriori algorithm but may be applied to any other MBA technique. …”
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AG-Yolo: Attention-Guided Yolo for Efficient Remote Sensing Oriented Object Detection by Xiaofeng Wang, Chengshan Han, Liang Huang, Ting Nie, Xin Liu, Hao Liu, Mingxuan Li

“…Current methods fail to effectively suppress background interference while maintaining fast detection speeds. This paper proposes Attention-Guided Yolo (AG-Yolo), an efficient oriented object detection (OOD) method tailored for remote sensing. …”
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