Tooth position prediction method based on adaptive geometry optimization. by Tian Ma, Yijie Zeng, Wenda Pei, Chao Li, Yuancheng Li

“…A multi-layer feature optimization Transformer-based tooth position prediction method is proposed to address the problems of difficult access to high-precision medical data and the difficulty of capturing and representing hierarchical features and spatial relationships among teeth by current methods. …”
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Calculus accumulation-based method for extracting values of instrumentation image by Dianming Wang, Li Zhou, Xiangxin Chen, Mingxin Yi, Xiaoju Yin

“…The template filtering method eliminates cross-pointer interference. The polar coordinate transformation and calculus accumulation of the dial image are carried out to obtain the position of the target double-pointer and realize automatic reading, which is suitable for most instruments. …”
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Improved Quantization Method of Coupled Circuits in Charge Discrete Space by Jin-Ying Ma, Weiran Zhao, Weilin Wang, Zhan-Yuan Yan

“…However, it is not applied widely, mainly because of the difficulty of the mathematical solution to the finite-difference Schrödinger equation. In this paper, we propose an improved perturbation method to calculate Schrödinger equations of the inductance and capacity coupling mesoscopic circuit. …”
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Survey of channel estimation method in delay-Doppler domain for OTFS by Wang XING, Xiaogang TANG, Yiqing ZHOU, Chong ZHANG, Zhengang PAN

“…In order to provide reliable communication service for high-mobility scenarios, 6G can consider DD (delay-Doppler) domain based OTFS (orthogonal time frequency space) as its modulation scheme.By mapping the transmitted symbols onto DD domain and transforming them into TF (time-frequency) domain, OTFS endows all the transmitted symbols with the potential of capturing time-frequency full diversity, effectively improving the performance of communication in time-varying fading channels.Due to the superior properties of DD effective channel, the existing OTFS channel estimation methods were mostly carried out in DD domain.Considering the difference of implementation and application scenarios, existing DD channel estimation methods for OTFS were divided into three categories and overviewed, after which the challenges and potential solutions for current DD channel estimation methods were summarized and analyzed.…”
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Multispectral image fusion method based on edge chromatic aberration by Y. Shi, D. Qiu, R. Wu, R. Wu, W. Niu, Z. Wang

“…In order to solve the problems of edge distortion and spectral loss in image fusion, this paper proposes a multispectral and hyperspectral fusion method based on edge chromatic aberration. Swin Transformer is used for multi-scale feature extraction, and the GRDB module is added to preserve edge details, which improves the clarity and accuracy of diseased edges in road scene fusion images. …”
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Personalized learning path planning for higher education based on deep generative models and quantum machine learning: a multimodal learning analysis method integrating transformer... by Changzhi Sun, Shijie Huang, Banghui Sun, Shiwei Chu

“…Abstract In the field of personalized learning path planning for higher education, traditional methods lack in-depth analysis of students' dynamically changing learning status and interests, resulting in insufficient personalization, and focus on the analysis of a single data type, making it difficult to integrate data of different modalities. …”
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Organizational Balance as a Key to Enterprise Reorganization by A. S. Alekhin, O. B. Alekseev

“…According to the authors, the manager gets a chance to see their organization and conduct needed changes that do not contradict its ‘nature’ only with the help of the organizational balance notion. The method of restoring organizational balance proposed for carrying out transformations is built on the artificial abstract separation of activity (business) and organization, their separate examination and diagnostic with further analysis and assembling steps on balancing with proposals aimed at upgrading businessprocesses within the frames of complicated organizational concept.…”
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Numerical investigation of a fractal oscillator arising from the microbeams-based microelectromechanical system by Bin Chen, Junfeng Lu, Lei Chen

“…A numerical approach by combining the fractal complex transformation and the spreading residue harmonic balance method is proposed for finding the approximations to the fractal vibration system. …”
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A kernel-free boundary integral method for reaction-diffusion equations by Yijun Chen, Yaning Xie

“…The resulting linear system was treated with a fast Fourier transform (FFT)-based elliptic solver, and the BIEs were iteratively solved by the generalized minimal residual (GMRES) method. …”
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Finite difference simulation of natural convection of two-phase hybrid nanofluid along a vertical heated wavy surface by Shapla Akter, Amzad Hossain, Md. Mahadul Islam, Md. Mamun Molla

“…The mathematical model accounts for laminar and incompressible fluid flow with a Prandtl number of Pr = 6.2, Lewis number Le = 10, and maximum [Formula: see text] concentration of hybrid nanoparticles. After transforming the governing equations into a non-dimensional form, the implicit finite difference method is used to solve them. …”
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Evaluation of Image Segmentation Methods for In Situ Quality Assessment in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas, Christopher McMurrough

“…This research evaluated five image segmentation methods (simple thresholding, adaptive thresholding, Sobel edge detector, Canny edge detector, and watershed transform) on the same platform for their effectiveness in isolating and identifying features in 3D-printed layers under different contrast conditions for in situ quality assessment. …”
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Analysis of the stress state of rocks transformation near a horizontal well during acid treatment based on numerical simulation by Sergei N. Popov, Sergei E. Chernyshov, Xiaopu Wang

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A Comprehensive Analysis of Data Augmentation Methods for Speech Emotion Recognition by Umut Avci

“…The SpecAugment method was also used to transform the spectrograms into versions with masked time and frequency axes. …”
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Time-domain finite-difference formulation for dynamic thermoelastic theory coupled with a dual-phase lag heat conduction model by Kaito MASUI, Masayuki ARAI

“…In this study, we analyzed the propagation of heat and stress waves in a 1D bar using discretized equations derived from the finite difference time domain (FDTD) method. We also discussed stability conditions to ensure the accuracy of the FDTD results. …”
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An Evaluation of Pass/Fail Decisions through Norm- and Criterion-Referenced Assessments by Selahattin Gelbal, Ismail Cuhadar

“…Two more decisions were made on the classification of students into pass/fail group by comparing the raw scores and the cut scores from two standard-setting methods. The proportions of students in pass/fail categories were found to be statistically different across each pair of four decisions from norm- and criterion-referenced assessments. …”
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Research on the measurement and spatio-temporal evolution of marine new-quality productivity in China by Xiujuan Sha, Huimin Tang, Yuting Wang

“…Based on the three constituent elements of Marxist productive forces, this study employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) entropy method, Gini coefficient, and kernel density estimation to analyze the spatial-temporal evolution of MNQPF levels across China's coastal provinces using panel data from 2012 to 2021. …”
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A Comparative Approach to the Solution of the Zabolotskaya-Khokhlov Equation by Iteration Methods by Saeed Ahmed, Muhammad Kalim

“…We employed different iteration methods like Homotopy Analysis Method (HAM), Adomian Decomposition Method (ADM), and Variational Iteration Method (VIM) to find the approximate solution to the Zabolotskaya-Khokhlov (ZK) equation. …”
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Cowpea leaf disease identification using deep learning by Rajesh Kannan Megalingam, Gowtham Gopakumar Menon, Swathi Binoj, Deepika Asandi Sai, Akhil Revi Kunnambath, Sakthiprasad Kuttankulangara Manoharan

“…Along with this, for each classified disease, a Possible Treatments and Prevention Methods suggestion is proposed. Six deep learning models—InceptionV3, VGG16, VGG19, Ensemble model, CNN and Vision Transformer (ViT) models were compared for the prediction of diseases in cowpea plants using a dataset of 5100 images of diseases of cowpea plant leaves. …”
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Hi-LabSpermMorpho: A Novel Expert-Labeled Dataset With Extensive Abnormality Classes for Deep Learning-Based Sperm Morphology Analysis by Abdulsamet Aktas, Gorkem Serbes, Merve Huner Yigit, Nizamettin Aydin, Hakki Uzun, Hamza Osman Ilhan

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Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification by Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa Gill, Dan Stowell

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