Robust Corner Detection Using Local Extrema Differences by Reza Yazdi, Hassan Khotanlou, Hosna Khademfar

“…This paper introduces a novel intensity-based corner detector that surpasses existing methods by solely analyzing pixel intensity within a 3×3 neighborhood. …”
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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

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ECONOMICAL CORE AT THE DIFFERENT LEVELS OF MANAGEMENT SYSTEM HIERARCHY by К. В. Павлов

“…All three forms of influence center on the environment are interrelated, but their practical value unequal to different poles and even one center at different stages of development. …”
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Malevolent Creativity of Adolescents in Different Socio-political Contexts by Natalya V. Meshkova, Margarita N. Bochkova, Elena A. Dmitrieva, Sergey N. Enikolopov, Ivan A. Meshkov

“…The aim is to study the links between antisocial creativity, hostility, consent, conscientiousness and values in adolescents in different socio-political conditions. Study Participants. …”
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Detection of microplastics stress on rice seedling by visible/near-infrared hyperspectral imaging and synchrotron radiation Fourier transform infrared microspectroscopy by Chaojie Wei, Hongxin Xie, Hongxin Xie, Hongxin Xie, Wei Wang, Yu-Feng Li, Yu-Feng Li, Yu-Feng Li, Xiaorong Wang, Ziwei Song, Fajun Chen

“…In order to rapidly screen and diagnosis rice seedling under MPs stress at an early stage, it is essential to develop efficient and non-destructive detection methods.MethodsIn this study, rice seedlings exposed to different concentrations (0, 10, and 100 mg/L) of polyethylene terephthalate (PET), polystyrene (PS), and polyvinyl chloride (PVC) MPs stress were constructed. …”
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Analytical finite-integral-transform and gradient-enhanced machine learning approach for thermoelastic analysis of FGM spherical structures with arbitrary properties by Palash Das, Dipayan Mondal, Md. Ashraful Islam, Md. Abdullah Al Mohotadi, Prokash Chandra Roy

“…This study introduces a novel mathematical model that combines the finite integral transform (FIT) and gradient-enhanced physics-informed neural network (g-PINN) to address thermomechanical problems in functionally graded materials with varying properties. …”
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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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Orchard Navigation Method Based on RS-SC Loop Frame Search Method and SLAM Technology by Ning Xu, Qingshan Meng, Fengping Liu, Zhihe Li, Guangming Wang, Na Guo, Wenxuan Wu

“…In the loop frame matching, an optimization algorithm combining normal distribution transformation and iterative nearest point is used to reduce the cumulative error significantly. …”
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Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study by Pathompong Roongruangsilp, Walita Narkbuakaew, Pathawee Khongkhunthian

“…Abstract Background The integration of artificial intelligence (AI) in dental implant planning has emerged as a transformative approach to enhance diagnostic accuracy and efficiency. …”
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MATHEMATICAL MODELING OF THE INFLUENCE OF RELAXATION PROCESSES ON THE TEMPERATURE FIELD IN AN ELASTIC HALF-SPACE by I. A. Dzhemesyuk, S. G. Gorbunov

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Spike by spike frequency analysis of amperometry traces provides statistical validation of observations in the time domain by Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, Andreas Schuppert, Andrew Ewing

“…We demonstrate the method by utilizing simulated signals and by subsequently testing it on diverse amperometry datasets generated from different experiments with various chemical stimulations. …”
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Study on characteristics of land cover change using MODIS NDVI time series by WANG Hong-shuo, HUANG Jing-feng

“…Characteristics of vegetation cover change in northern Zhejiang Province was detected using MODIS NDVI time series. Discrete Fourier transform (DFT) method was applied to deduct the noisy and abnormal points. …”
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Impact of farmer training on potato yield: a case of smallholder potato farmers in Malawi by Ednah Kangogo, David Jakinda Otieno, Julius Okello, Obed Mwenye, Eliya Kapalasa

“…This study applied the difference-in-difference method with inverse probability-weighted regression to analyze the impact of farmer training on potato yield. …”
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Digital Watermarking using Dragonfly Optimization Algorithm by Satender Sharma, Usha Chauhan, Ruqaiya Khanam, Krishna Kant Singh

“…The cover image in the proposed method is decomposed into sub bands using discrete wavelet transform (DWT). …”
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Research on Acoustic Scene Classification Based on Time–Frequency–Wavelet Fusion Network by Fengzheng Bi, Lidong Yang

“…Acoustic scene classification aims to recognize the scenes corresponding to sound signals in the environment, but audio differences from different cities and devices can affect the model’s accuracy. …”
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Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…This paper aims to enhance the accuracy of time series forecasting by proposing an adapted transformer architecture combined with an innovative data preprocessing method. …”
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Supraharmonics monitoring based on VSSESP-DBP dynamic compressed sensing algorithm by Chao Yan, Hongtao Shen, Jie Yu, Peng Tao, Hongxi Wang, Ting Yang

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Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction by Komei Hiruta, Junsuke Senoguchi

“…Specifically, we first acquire components with different temporal resolutions using wavelet transform, then convert the wavelet-transformed data into images, and finally perform CNN processing to automatically extract useful temporal features for prediction. …”
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Compressive Sensing Network Deeply Induced by Visual Mechanism by Mingkun Feng, Xiaole Han, Kai Zheng

“…The experimental results show that our FVM-CSNet exhibits significant advantages on the Set14 dataset compared to existing advanced methods (TransCS, OCTUF and DPC-DUN). The average PSNR and average SSIM of FVM-CSNet are improved by 2.42% and 1.68%, 1.54% and 1.27%, and 0.28% and 1.33% compared to the above three advanced methods for four different sampling rates, respectively. …”
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