Optimizing EEG - based Emotion Recognition with a multi-modal ensemble approach by Kavitha K V, L R Sudha, J S Jayasudha

“…This approach was validated using the EEG Brainwave Dataset, achieving a superior classification accuracy of 97.42%, surpassing individual model performances (LSTM: 97%, GRU: 97%, Autoencoder-GRU: 94%, DNN: 95%). …”
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High-Precision Tea Plantation Mapping with Multi-Source Remote Sensing and Deep Learning by Yicheng Zhou, Lingbo Yang, Lin Yuan, Xin Li, Yihu Mao, Jiancong Dong, Zhenyu Lin, Xianfeng Zhou

“…Cross-validation and point-based accuracy assessment methods were used to evaluate the performance of the models. The results demonstrated that the Swin-UNet model, a transformer-based approach capturing long-range dependencies and global context for superior feature extraction, outperformed the others, achieving an overall accuracy of 0.993 and an F1-score of 0.977 when using multi-temporal Sentinel-2 data. …”
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Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9 by Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Hendri Darmawan, Nguyen Khanh Son, Yi-Bing Lin, Mohammed J. F. Alenazi

“…However, the limited computational capabilities of UAVs make it challenging to deploy complex object detection models onboard. This article proposes Li-YOLOv9, an efficient, lightweight, and precise object detection model for detection of rice seedlings from large-scale UAV remote sensing data. …”
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Research on Rheological Behavior and Strength Characteristics of Cement-Based Grouting Materials by Xuewei Liu, Hao Qu, Bin Liu, Yuan Zhou, Jinlan Li, Wei Deng, Weilong Tao

“…NMR T2 spectra show that HGC cured grouts have the lowest porosity, predominantly featuring inter-nanopores, whereas OPC and SAC have more super-nanopores. …”
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An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival by Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar

“…Multiple algorithms were trained and evaluated, with the Decision Tree classifier emerging as the optimal model, achieving remarkable performance metrics: 99.8% accuracy, precision, recall, and F1-score, a 99.6% Matthews Correlation Coefficient (MCC), and the highest Area Under the Curve (AUC) score for multi-class classification. …”
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Potential of EnMAP Hyperspectral Imagery for Regional-Scale Soil Organic Matter Mapping by Yassine Bouslihim, Abdelkrim Bouasria

“…While these results are promising, this study identified limitations in the ability of PLSR to extrapolate predictions beyond the sampled areas, suggesting the need to explore non-linear modeling approaches. Future research should focus on evaluating EnMAP’s performance using advanced machine learning techniques and comparing it to other available hyperspectral products to establish robust protocols for satellite-based soil monitoring.…”
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GAMIFICATION AS A MODERN TREND IN THE STUDY OF GEOGRAPHY IN GENERAL EDUCATIONAL INSTITUTIONS by Vitaliy Bezugly, Victor Hrushka

“…The article examines the main features and methodological techniques of gamification in the educational process in the study of geography in general educational institutions as a whole and in Year 10 in particular. …”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…In order to improve the training learning rate, Adam optimizer combining momentum algorithm and RMSprop algorithm is used to dynamically adjust the learning rate; the combination of the two algorithms makes the loss function converge to the lowest point faster. Then the feature map after each convolution is obtained by using transferred revolution, and the model is adjusted according to the feature map to further improve the effect of model recognition. …”
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Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method by Zengxin Guan, Kaijun Ren, Senliang Bao, Hengqian Yan, Huizan Wang, Yanlai Zhao, Jianbin Liu

“…To assess practical applicability, comparative experiments using remote sensing data were performed, highlighting the model's feasibility and utility. …”
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Study on the inversion and spatiotemporal variation mechanism of soil salinization at multiple depths in typical oases in arid areas: A case study of Wei-Ku Oasis by Jinming Zhang, Jianli Ding, Zihan Zhang, Jinjie Wang, Xu Zeng, Xiangyu Ge

“…Results indicate that: (1) The multi-depth soil salinity inversion models built with the CNN-LSTM framework exhibit superior predictive performance, with the 0–10 cm soil salinity prediction model achieving the highest accuracy, attaining an R² of 0.7 in the test set. …”
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Accelerometer-Measured Physical Activity and Neuroimaging-Driven Brain Age by Han Chen, Zhi Cao, Jing Zhang, Dun Li, Yaogang Wang, Chenjie Xu

“…The generalized additive model was applied to examine the nonlinear association between PA and BAG after adjusting for potential confounders. …”
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Color-Sensitive Sensor Array Combined with Machine Learning for Non-Destructive Detection of AFB₁ in Corn Silage by Daqian Wan, Haiqing Tian, Lina Guo, Kai Zhao, Yang Yu, Xinglu Zheng, Haijun Li, Jianying Sun

“…The combined 1st D-PCA-KNN model showed optimal prediction performance, with determination coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mi>p</mi><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> = 0.87), root mean square error (<i>RMSEP</i> = 0.057), and relative prediction deviation (<i>RPD</i> = 2.773). …”
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A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes by Xu Zhang, Ziquan Qin, Ruijie Zhao, Zhuojun Xie, Xuebing Bai

“…The results indicate that spectral data optimization methods are effective and essential for improving the performance of SSC prediction models. The IoT Vis/NIR Spectroscopic System proposed in this study offers a miniaturized, low-cost, and practical solution for SSC detection in wine grapes.…”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…Besides, the XAIFTL-AWCDAV model performs feature extraction by fusing three models: EfficientNet, SqueezeNet, and MobileNetv2. …”
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Identification and preclinical efficacy evaluation of two lytic bacteriophages targeting highly virulent and multidrug-resistant Klebsiella pneumoniae by Ai Guo, Dianbao Zuo, Li Shi, Ming Guo, Jinquan Li, Caili Li, Puqing Wang, Xiaodong Sun, Ming Sang

“…Bacteriophages are promising antibiotic alternatives with unique features. This study aimed to isolate new bacteriophages from the hospital environment and investigate their therapeutic potential and mechanisms. …”
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A dataset of textile fibres transferred between garments in a simulated assault for forensic interpretation and statistical analysisUTS Research Data PortalUTS Research Data Portal by Victoria Lau, Xanthe Spindler, Claude Roux

“…The dataset describes the features (generic fibre type, colour, length, recovered location) of 26101 fibres transferred and recovered following choreographed assault simulations performed by participants wearing a cotton T-shirt and polyester/cotton hoody. …”
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Geo-parsing and analysis of road traffic crash incidents for data-driven emergency response planning by Patricia Ojonoka Idakwo, Olubayo Adekanmbi, Anthony Soronnadi, Amos David

“…Evaluation of the models’ performances shows that the RTC NER model outperforms the RTC NER Baseline model on both Nigerian and international test data across all three standard metrics of precision, recall and F1-score. …”
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Seismic capacity assessment of Shikhara style temple with and without traditional seismic enhancement by Suraj Malla, Mukil Alagirisamy, Purushotam Dangol

“…For capacity assessment pushover analysis is performed for both as built and reconstructed models. …”
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Association between transcriptomic metrics of exogenous antigen presentation and adaptive immunity with locoregional recurrence in localized estrogen receptor negative breast cance... by Timothy J. Robinson, Casey L. Liveringhouse, Christopher Wilson, Sam Friedman, Justyn Nakashima, Matthew N. Mills, Jacob D. Purcell, Nicholas B. Figura, Du Dongliang, Ram Thapa, Eric Welsh, Kamran A. Ahmed, G. Daniel Grass, Brooke L. Fridley, Roberto Diaz

“…Abstract Background Transcriptomic features of breast cancer locoregional recurrence (LRR) remain poorly understood. …”
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Copper Nodule Defect Detection in Industrial Processes Using Deep Learning by Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing

“…The model employs MobileNetV3, a lightweight feature extraction network, as its backbone, reducing the parameter count and computational complexity. …”
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