A novel machine learning model for perimeter intrusion detection using intrusion image dataset. by Shahneela Pitafi, Toni Anwar, I Dewa Made Widia, Zubair Sharif, Boonsit Yimwadsana

“…This model utilizes the pre-trained InceptionV3 for feature extraction on PID intrusion image dataset, followed by t-SNE for dimensionality reduction and subsequent clustering. …”
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fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings by Tillmann Ohm, Andres Karjus, Mikhail V. Tamm, Maximilian Schich

“…Leveraging a systematic pipeline of generative image synthesis, this visually diverse yet balanced benchmark demonstrates salient differences in semantic category and style similarity weights across various computational models, including machine learning models, feature extraction algorithms, and complexity measures, as well as conceptual models for reference. …”
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Commodity Price Recognition and Simulation of Image Recognition Technology Based on the Nonlinear Dimensionality Reduction Method by Yongbin Liu, Jingjie Wang, Wei Bai

“…Thus, the computational complexity can be reduced, the recognition accuracy can be improved, and it is convenient for further processing such as image recognition and search. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…This study introduces an innovative deep learning framework to address the limitations of traditional pathological image analysis and the pressing demand for medical resources in tumor diagnosis. …”
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3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion by Bingzhe Wei, Xiangchu Feng, Weiwei Wang

“…Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity, ensuring the effectiveness and efficiency. …”
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MultiSHTM: Multi-Level Attention Enabled Bi-Directional Model for the Summarization of Chart Images by Indra Kumari, Hansung Lee

“…Chart-to-text conversion is an emerging research area focused on extracting useful information from chart images to improve understanding and analysis. Deep learning methods help in identifying important details and patterns from charts. …”
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Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large by HE Wei-chan, YANG Zhi-jing, QIN Jing-hui

“…Food image recognition plays a crucial role in food safety monitoring, nutritional analysis, and dietary recommendation systems. …”
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The liprin-α/RIM complex regulates the dynamic assembly of presynaptic active zones via liquid-liquid phase separation. by Gaowei Jin, Joaquín Campos, Yang Liu, Berta Marcó de la Cruz, Shujing Zhang, Mingfu Liang, Kaiyue Li, Xingqiao Xie, Fredrik H Sterky, Claudio Acuna, Zhiyi Wei

“…Super-resolution imaging analysis supports a role for liprin-α in recruiting RIM1 to the active zone, presumably by promoting the liquid-liquid phase separation (LLPS) of RIM1. …”
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Optimisation of Residual Network Using Data Augmentation and Ensemble Deep Learning for Butterfly Image Classification by Diniati Ruaika, Shofwatul Uyun

“…Convolutional Neural Networks (CNN) have proven effective for image analysis. However, problems arise due to factors such as the model’s quality, unbalanced training data, overfitting, and layers’ complexity. …”
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Rapid and efficient optical tissue clearing for volumetric imaging of the intact and injured spinal cord in mice by Andrew W. Buxton, Frank L. Jalufka, Margaret E. Hruska, Jack R. Kubaney, Dylan A. McCreedy, Dylan A. McCreedy

“…Tissue clearing and 3D imaging have emerged as powerful techniques to assess the cellular and tissue-level architecture of the spinal cord. …”
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Single-cell light-sheet fluorescence 3D images of tumour-stroma spheroid multicultures by Akos Diosdi, Filippo Piccinini, Timea Boroczky, Gabriella Dobra, Gastone Castellani, Krisztina Buzas, Peter Horvath, Maria Harmati

“…The image collection, whole spheroid annotations, and extracted features are publicly available for further research and can support the development of automated analysis models.…”
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Enhancing AES image encryption with a three-dimensional hyperchaotic system for increased security and efficiency. by Mingyi Huo, Yanpei Zheng, Jun Huang

“…Although the Advanced Encryption Standard (AES), a widely used symmetric encryption method, performs excellently in data communication and network security, its efficiency and security face significant challenges when directly applied to image encryption due to the inherent complexity of image data. …”
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A cross-stage features fusion network for building extraction from remote sensing images by Xiaolong Zuo, Zhenfeng Shao, Jiaming Wang, Xiao Huang, Yu Wang

“…CFF-Net outperformed other state-of-the-art algorithms on the two datasets in IoU and F1 metrics. The efficiency analysis reveals that the proposed CFF-Net achieves a great balance between building extraction performance and complexity/efficiency, with faster convergence and higher robustness.…”
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Derivative Complex Small Supernumerary Marker Chromosomes (sSMC) Involving Chromosomes 2 and 15—A Novel Report by Yazeed Alayed, Aziza Mushiba, Soha Tashkandi, Yahya Almashham, Khelad Alsaidi, Abdulrazaq Albohigan, Amer Jamhawi, Mohammad Alkheilewi, Maryam Alotaibi

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Large field-of-view plasmonic scattering imaging and sensing of nanoparticles with isotropic point-spread-function by Xinxiang You, Zetao Fan, Hongli Zhang, Zhibo Xie, Chengen Li, Huaqiao Gui, Gang Zou, Qiwen Zhan, Jianguo Liu, Xu Liu, Douguo Zhang

“…Abstract Label-free optical imaging and sensing of single nanoparticles are vital for fundamental research, disease diagnosis, and nanomaterial studies. …”
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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain by Manish Kumar, Aneesh Sreevallabh Chivukula, Gunjan Barua

“…The data presented in Tables 5, 6, and 7 shows the proposed algorithm is robust and efficient in terms of time and key space complexity. Security analysis results are shown (such as histogram plots in Figs. 11–14 and correlation plots in Figs. 19–21). …”
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XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults by Miguel A. Fernández-Blázquez, José M. Ruiz-Sánchez de León, Rubén Sanz-Blasco, Emilio Verche, Marina Ávila-Villanueva, María José Gil-Moreno, Mercedes Montenegro-Peña, Carmen Terrón, Cristina Fernández-García, Jaime Gómez-Ramírez

“…Using data from 845 participants aged 65 to 87 years, we built five eXtreme Gradient Boosting (XGBoost) models of increasing complexity, incorporating demographic, self-reported, medical, and cognitive variables. …”
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Probing neuronal activity with genetically encoded calcium and voltage fluorescent indicators by Masayuki Sakamoto, Tatsushi Yokoyama

“…This review highlights the recent progress in genetically encoded calcium and voltage indicators and discusses the future direction of imaging techniques with big data analysis that deepens our understanding of the complexities of the brain.…”
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ARTIFICIAL INTELLIGENCE AS A METHODOLOGICAL INNOVATION IN THE TRAINING OF FUTURE DESIGNERS: MIDJOURNEY TOOLS by Ivan M. Tsidylo, Chele Esteve Sendra

“…A review of 2022 releases for creating complex, abstract or photorealistic images Stable Diffusion, DALL-E 2 and Midjourney. …”
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Progress in the Application of Resting-State Functional Magnetic Resonance Imaging in Chronic Nonspecific Low Back Pain by XU Ting, XUE Qin, LYU Ying, TU Jianchun, DAI Dechun

“…Common methods for functional integration mainly include seed-based functional connectivity analysis (SCA), independent component analysis (ICA), and graph theory-based complex brain network analysis. …”
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