Optimal feature selection and invasive weed tunicate swarm algorithm-based hierarchical attention network for text classification by Gunjan Singh, Arpita Nagpal, Vijendra Singh

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Development of new production algorithm in the northern Indian Ocean and observation of enhanced productivity using satellite remote sensing by Kandasamy Priyanka, Ranjit Kumar Sarangi, Durairaj Poornima, Ayyappan Saravanakumar

“…The AS exhibits greater productivity than the BoB. This is mainly due to higher production in the summer (1.8 µmol N m−2d−1) and winter (1.7 µmol N m−2d−1), along with stronger downward fluxes associated with the deep mixed layer.…”
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Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks by K. Karthik, C. Balasubramanian, R. Praveen

“…Abstract Coverage Path Planning is an important strategy used mainly in junction with the unmanned aerial vehicles (UAVs) such that it can cover the regions of the target with minimized energy consumptions. …”
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Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

“…Two-dimensional histogram-based techniques are better in terms of accuracy while they are computation intensive. The slime mould algorithm used for optimization mainly depends on the best leader and two randomly pooled slime moulds from the population, which leads to poor exploitation with more iteration to converge. …”
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A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant by Shitao Zhang, Jiafei Cao, Yang Gao, Fangfang Sun, Yong Yang

“…The operational complexity of wastewater treatment systems mainly stems from the diversity of influent characteristics and the nonlinear nature of the treatment process. …”
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YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

“…Traditional magnetic tile defect detection mainly relies on manual inspection and faces challenges like low detection accuracy and high cost. …”
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Research on the influencing factors of PM2.5 in China at different spatial scales based on machine learning algorithm by Meiru Chen, Jun Liu, Biwu Chu, Di Zhao, Ruiyu Li, Tianzeng Chen, Qingxin Ma, Yonghong Wang, Peng Zhang, Hao Li, Hong He

“…Moreover, the model results also suggested that the PM2.5 pollution in Yangtze River Delta (YRD) and Pearl River Delta (PRD) are mainly controlled by primary emissions, while in Beijing-Tianjin-Hebei (BTH), Fenwei Plain (FWP) and Sichuan Basin (SCB), atmospheric oxidation capacity is a limiting factor. …”
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Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR by Yifan Wu, Xiyu Qi, Lijia Huang, Bingchen Zhang, Wenyi Zhang, Lili Yan

“…To solve the problem of separating moving targets, we introduce a semantic segmentation algorithm from deep learning into the BP imaging algorithm, achieving pixel-level segmentation and removal of moving targets in subaperture images. …”
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Machine learning algorithms for maize yield prediction with multispectral imagery: Assessing robustness across varied growing environments by Bala Ram Sapkota, Gurjinder S. Baath, K. Colton Flynn, Kabindra Adhikari, Chad Hajda, Douglas R. Smith

“…Traditional methods relying solely on vegetation indices (VIs) for yield prediction face challenges such as saturation in dense canopies, like those of maize (Zea Mays L.), and inconsistencies due to environmental variability. …”
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Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network by Tu Jie, Liu Qijing, Wei Jun, Hu Liang

“…Therefore, quantitative research on tree water consumption characteristics by transpiration has become a hot issue in the field of tree physiological ecology in recent years.Taking the C. lanceolata plantation in degraded red soil of Jiangxi Province as the research object, the log-sigmoid type function (tansig) of MATLAB toolbox was selected as the transmission function for the role of neurons. Four main factors including air temperature, relative air humidity, average net radiation and vapor pressure deficit were chosen as the input variables, and the sap flow velocity was selected as the output variable, to train and examine the neural network model with Bayesian regularization algorithm and Levenberg-Marquardt algorithm. …”
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Le travail journalistique entre priorisation de l’information et réaction aux algorithmes de recommandation des réseaux sociaux by Mariame Tighanimine

“…After a brief review of the inner workings of recommendation algorithms and their impact, we question the way in which these algorithms undermine the work of producing and prioritizing information. …”
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Feature dimensionality reduction for recognition of Persian handwritten letters using a combination of quantum genetic algorithm and neural network by Mohammad Javad Aranian, Moein Sarvaghad-Moghaddam, Monireh Houshmand

“…In this paper, to reduce feature dimensionality of datasets a hybrid approach using artificial neural network, genetic algorithm and quantum genetic algorithm is proposed that can be used to distinguish Persian handwritten letters. …”
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Automation in electrifying flow organic synthesis by Tomas Hardwick, Nisar Ahmed

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Multi-site Information Synchronization Scheme Based on Wavelet Transform to Detect Signal Singularity by Baojiang TIAN, Yan LI, Xiaoyu LIAO, Xingwei DU, Wenyan DUAN

“…To address this issue, this article proposes a self synchronization scheme for recording files of different devices in substations based on the sudden variable detection algorithm. Firstly, considering the problems of high-frequency signal loss and boundary effects in the traditional Mallat wavelet algorithm, which affect the accuracy of mutation point detection, a complementary adjacent window algorithm and an optimization strategy for data window selection are proposed, effectively solving the problems of traditional wavelet transform. …”
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Direct Adaption Methods for Linear and Circular Antenna Arrays by Ye. I. Glushankov, V. I. Tsarik

“…Depending on a particular radio technical system, the mathematical description of digital signal processing methods may involve specific calculation structures implemented using specific calculation algorithms. …”
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Lattice-Hopping: A Novel Map-Representation-Based Path Planning Algorithm for a High-Density Storage System by Shuhan Zhang, Yaqing Song, Ziyu Chen, Guo Chen, Yongxin Cao, Zhe Gao, Xiaonong Xu

“…However, traditional algorithms may encounter significant optimization challenges due to intricate architectural configurations and traffic constraints of the HDS system. …”
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Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images by Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

“…This study utilized the Google Earth Engine cloud platform alongside Sentinel-1 synthetic aperture radar data, Sentinel-2 multispectral data, digital elevation model data, and unmanned aerial vehicle data to develop a feature preference algorithm integrating the minimum redundancy maximum relevance (MRMR) and random forest (RF) methods. …”
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Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields by Chenkai Gao, Shuimiao Liu, Pengnian Wu, Yanli Wang, Ke Wu, Lingyun Li, Jinghui Wang, Shilong Liu, Peimeng Gao, Zhiheng Zhao, Jing Shao, Haolin Yu, Xiaokang Guan, Tongchao Wang, Pengfei Wen

“…The sensitive bands were mainly distributed in the following ranges: 545–561, 746–1348, 1561–1810, and 2122–2430 nm. …”
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Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Hui Chen, Mohammed A.H. Ali, Yusoff Nukman, Bushroa Abd Razak, Sherzod Turaev, YiHan Chen, Shikai Zhang, Zhiwei Huang, Zhenya Wang, Rawad Abdulghafor

“…Researchers have proposed numerous algorithms to address these challenges. The traffic recognition methods have been categorized in this paper into three main techniques, namely, conventional, deep learning, and hybrid based methods. …”
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Comparison of diagnostic algorithms in clinically suspected viral myocarditis: Agreement between cardiovascular magnetic resonance, endomyocardial biopsy, and troponin T by Hafisyatul Zainal, Andreas Rolf, Hui Zhou, Moises Vasquez, Felicitas Escher, Till Keller, Mariuca Vasa-Nicotera, Andreas M. Zeiher, Heinz-Peter Schultheiss, Eike Nagel, Valentina O. Puntmann

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