A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…The results indicate that this method significantly improves measurement efficiency and operational convenience while maintaining accuracy. …”
Get full text

Enhancing Power Density in Switched Reluctance Generators Through Split Axial Segmentation by Parlin Siagian, Ira Devi Sara, Tarmizi Tarmizi, Nasaruddin Nasaruddin

“…Specifically, axial separation segmentation markedly enhanced power density and design efficiency compared to conventional SRGs designs. This paper provides novel insights into improving torque ripple and power output while maintaining the same overall machine dimensions at 1206.6 W. …”
Get full text

Advancing Early Diagnosis: Predicting Mild Cognitive Impairment Progression in Normal Individuals Using Deep Learning on MRI Features by Abdullah Baktash, Yashar Sarbaz, Saeed Meshgini, Reza Afrouzian

“…By enhancing prediction efficiency for early disease progression in normal individuals, our method can potentially advance intervention strategies and improve patient care outcomes.…”
Get full text

Bayesian curriculum generation in sparse reward reinforcement learning environments by Onur Akgün, N. Kemal Üre

“…A notable feature of our algorithm is its capability for unsupervised task classification, utilizing a clustering process applicable to both image outputs and scalar values. This method efficiently categorizes tasks based on difficulty, circumventing the need for exhaustive training for each task. …”
Get full text

Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…The results of 188 indicators were distributed in the form of a 5-point Likert questionnaire and by Delphi method in two times among 18 experts in this field. …”
Get full text

MHIAIFormer: Multihead Interacted and Adaptive Integrated Transformer With Spatial-Spectral Attention for Hyperspectral Image Classification by Delong Kong, Jiahua Zhang, Shichao Zhang, Xiang Yu, Foyez Ahmed Prodhan

“…Deep learning is an effective method for hyperspectral image (HSI) classification, where CNN-based and Transformer-based methods have achieved excellent performance. …”
Get full text

Solving Mixed Volterra - Fredholm Integral Equation (MVFIE) by Designing Neural Network by Al-Saif et al.

“…In this paper, we focus on designing feed forward neural network (FFNN) for solving Mixed Volterra – Fredholm Integral Equations (MVFIEs) of second kind in 2–dimensions. in our method, we present a multi – layers model consisting of a hidden layer which has five hidden units (neurons) and one linear output unit. …”
Get full text

Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes by Ludovica Adacher, Marta Flamini

“…Results show the effectiveness and efficiency of the solutions of the Surrogate Method compared with the performances of other algorithms.…”
Get full text

Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning by Hongyu Han, Shengjie Wang, Baojun Qiao, Lanxue Dang, Xiaomei Zou, Hui Xue, Yingqi Wang

“…The proposed model utilizes dependency trees combined with self-attention mechanisms to generate new weight matrices, emphasizing the locational information of aspect terms, and optimizes the graph convolutional network (GCN) to extract aspect terms more efficiently. Furthermore, the model employs the multi-head attention (MHA) mechanism to process input data and uses its output as the input to the GCN. …”
Get full text

Voltage stabilizer of the asynchronous low-frequency generator by Berzan V.P., Tirshu M., Postoronca S.

“…The new method of output voltage stabilization of the asynchronous generator with capacitor excitation is offered. …”
Get full text

Green On-Site Diclofenac Extraction from Wastewater Matrices Using a 3D-Printed Device Followed by PTV-GC-MS Determination by César Castro-García, Edwin Palacio, Rogelio Rodríguez-Maese, Luz O. Leal, Laura Ferrer

“…The methodology was applied at the wastewater treatment plant (WWTP) of Calvià (Mallorca, Spain), finding diclofenac in concentrations of 15.39 ± 0.07 μg L⁻¹ at the input of the primary decantation process, 4.48 ± 0.03 μg L⁻¹ at the output of the secondary decantation, and 0.099 ± 0.001 μg L⁻¹ at the output of the tertiary treatment, demonstrating the feasibility of the on-site extraction method in monitoring diclofenac over a wide concentration range. …”
Get full text

Cooling photovoltaic panels with air convection – Parametric environmental and economic analysis with case studies by Tarek Ibrahim, Jalal Faraj, Khalid Kisswani, Georges El Achkar, Rabih Murr, Mahmoud Khaled

“…To proceed, a cluster of three different efficiency enhancements for three different cooling methods introduced in the literature have been considered and energy production, savings, and CO2 emission reductions have been identified for the median value of each cluster for each cooling method, providing particular insights on PV application parametrically. …”
Get full text

Paraxial Propagation of Scattered Light Based on the Chirp Z-Transform by Lujia Zhao, Yu-Ang Liu, Huiru Ji, Haibo Wang, Hao Tan, Yan Mo, Donglin Ma

“…This approach affords enhanced flexibility in the simulation of partially coherent light transmission, enabling the targeted simulation of regions of interest within the frequency domain of the optical system, thereby significantly improving simulation efficiency. The efficacy of this novel method is demonstrated through the simulation of a Wigner transmission algorithm based on the chirp z-transform, applied to an RC (Ritchey–Chrétien) telescope system. …”
Get full text

Unbalance Compensation of a Full Scale Test Rig Designed for HTR-10GT: A Frequency-Domain Approach Based on Iterative Learning Control by Ying He, Lei Shi, Zhengang Shi, Zhe Sun

“…In the paper, unbalance compensation for the Multi-Input and Multi-Output (MIMO) active magnetic bearing (AMB) system using frequency-domain iterative learning control (ILC) is analyzed. …”
Get full text

The Simulation of Mode Control for a Photonic Lantern Adaptive Amplifier by Yuxuan Ze, Pengfei Liu, Hanwei Zhang, Yanyang Hu, Lianchuang Ding, Baozhu Yan, Jiangbin Zhang, Qiong Zhou, Wenguang Liu

“…Optimal parameters, such as the gain fiber length and pumping method, were identified to improve control effectiveness. …”
Get full text

Modeling Sustainable Development of Transport Logistics Under Climate Change, Ecosystem Dynamics, and Digitalization by Ilona Jacyna-Gołda, Nadiia Shmygol, Lyazzat Sembiyeva, Olena Cherniavska, Aruzhan Burtebayeva, Assiya Uskenbayeva, Mariusz Salwin

“…The methodological framework combines comparative analytical methods with economic–mathematical modeling, particularly Leontief’s input–output model, to evaluate the mutual influence between the transport sector and sustainable economic growth within an interconnected ecosystem of economic and technological factors. …”
Get full text

Effect of Bearing Support Parameters on the Radial and Angular Deformation of Rotor Shaft Gear Based on CRDRS Support Configuration with Intermediate Bearing Support by Xiaojie Yuan, Xiaoyu Che, Rupeng Zhu, Weifang Chen

“…Deformation of the rotor shaft can affect the meshing performance of the output stage gears in the main gearbox, thereby affecting load transfer efficiency. …”
Get full text

YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Enhancing the efficiency and accuracy of pest detection under resource-limited conditions has thus become a critical issue. …”
Get full text

A Dual-Task Approach for Onset Time Picking and the Detection of Microseismic Waveforms Based on Deep Learning by Hang Zhang, Ruoyu Li, Chunchi Ma, Xiaobing Cheng, Simeng Meng, Zhenxing Huang, Di Li

“…A comparison of the proposed method with existing methods and applications in underground engineering projects helped demonstrate the excellent performance of this method. …”
Get full text

AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…In addition to the nuclei instance segmentation branch and nuclei classification branch, one branch is used to predict the vertical and horizontal distance from each pixel to its nuclear center, which is combined with output by the segmentation branch to improve the final segmentation results. …”
Get full text