This study employed Design Science Research (DSR) to develop and evaluate a fine-tuned deep learning model for Teff-weed detection using datasets collected by drones. DSR, a research methodology focused on creating and evaluating IT artifacts to…
Category: 7. Maths
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YOLO-GL for efficient multi-target detection in large FOV via hierarchical feature fusion
Experimental setup
The YOLOv8 architecture was selected as the baseline model due to its empirically validated balance between detection accuracy and computational efficiency in real-time applications. To enhance feature representation…
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Author Correction: Warning of a forthcoming collapse of the Atlantic meridional overturning circulation
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate…
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Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm
Denoising process
For the phenomenon of missing data in the water quality data, we excluded data points with a missing duration of three hours. For the remaining missing values, we use linear interpolation method to fill. After preliminary…
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete
Evaluating machine learning models is important in finding a solution that achieves the best accuracy, reliability, and efficiency for a given task. With respect to the problem of predicting CS of SFRC, which is an intricate problem involving…
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Solving the coupled Gerdjikov–Ivanov equation via Riemann–Hilbert approach on the half line
The expressions and notations employed within this research
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The Pauli matrix is marked as \(\theta _{3}\), \(\theta _{3}=\left( \begin{array}{cc}1 & 0 \\ 0 & -1 \\ \end{array}\right)\), \(\theta _{-}=\left(…
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Combined application of numerical simulation and machine learning in debris flow hazard mapping
Huang, H., Wang, Y., Li, Y., Zhou, Y. & Zeng, Z. Debris flow susceptibility assessment in china: A comparison between traditional statistical and machine learning methods. Remote Sens. 14, 4475. https://doi.org/10.3390/rs14184475 (2022).
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Assessment of plant diversity index in degraded desert grassland using UAV hyperspectral multimodal data and Encoder-CNN
Hyperspectral image dimensionality reduction
H2 images are rich in spectral information and redundant, so we use Random Forest (RF) algorithm to reduce dimensionality and determine the final 128 wavelengths by comparing them to the standard…
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High order Interaction and Wavelet Convolution Network for visible infrared person reidentification
Fig. 4 The structure of the HIW-Net. The FI module performs interactions across channel and spatial dimensions, aggregating higher-order and low-order features to reduce modality differences. and feature loss. TPFI, based on FI, aggregating…
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments
Indoor image classification is becoming increasingly important in applications like smart cities, smart healthcare, robotics, and security systems. Several research works have been done to propose and implement robust computational approaches and…
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