Lights-Transformer: An Efficient Transformer-Based Landslide Detection Model for High-Resolution Remote Sensing Images by Xu Wu, Xuqing Ren, Donghao Zhai, Xiangpeng Wang, Mehreen Tarif

“…The integration of deep learning models has considerably enhanced the efficiency and accuracy of landslide detection particularly in automating the analysis and quickly identifying affected areas. However, existing models often face challenges, such as incomplete feature extraction, loss of contextual information, and high computational complexity. …”
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Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features by Sotnikov O., Sivak V., Pavlov Ya., Нashenko S., Borysenko T., Torianyk D.

“…The significance of the work lies in solving the problem of selecting a reference object on images of heterogeneous object composition. This made it possible to reduce significantly the computational complexity of selecting objects in images.…”
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Urban flood mapping by fully mining and adaptive fusion of the polarimetric and spatial information of Sentinel-1 images by Qi Zhang, Xiangyun Hu

“…Considering the complexity of surface objects in urban scenes, the proposed approach first extracts and fuses multiple types of features, such as polarization, pseudo-color, and spatial features, from pre-flood and post-flood SAR images to enhance distinguishability of water bodies. …”
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Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The SHIFT campaign by K. Dana Chadwick, Frank Davis, Kimberley R. Miner, Ryan Pavlick, Mark Reynolds, Philip A. Townsend, Philip G. Brodrick, Christiana Ade, Jean Allen, Leander Anderegg, Yoseline Angel, Indra Boving, Kristin B. Byrd, Petya Campbell, Luke Carberry, Katherine C. Cavanaugh, Kyle C. Cavanaugh, Kelly Easterday, Regina Eckert, Michelle Gierach, Kaitlin Gold, Erin Hestir, Fred Huemmrich, Maggie Klope, Raymond F Kokaly, Piper Lovegreen, Kelly Luis, Conor McMahon, Nicholas Nidzieko, Francisco Ochoa, Anna Jiselle Ongjoco, Elsa Ordway, Madeleine Pascolini‐Campbell, Natalie Queally, Dar A. Roberts, Clare M. Saiki, Fabian D. Schneider, Alexey N. Shiklomanov, Germán D. Silva, Jordan Snyder, Michele Thornton, Anna T. Trugman, Nidhi Vinod, Ting Zheng, Dulcinea M. Avouris, Brianna Baker, Latha Baskaran, Tom Bell, Megan Berg, Michael Bernas, Niklas Bohn, Renato K. Braghiere, Zach Breuer, Andrew J. Brooks, Nolan Burkard, Julia Burmistrova, Kerry Cawse‐Nicholson, John Chapman, Johana Chazaro‐Haraksin, Joel Cryer, K. C. Cushman, Kyla Dahlin, Phuong D. Dao, Athena DiBartolo, Michael Eastwood, Clayton D. Elder, Angela Giordani, Kathleen Grant, Robert O. Green, Alexa Hanson, Brendan Heberlein, Mark Helmlinger, Simon Hook, Daniel Jensen, Emma Johnson, Marie Johnson, Michael Kiper, Christopher Kibler, Jennifer Y. King, Kyle R. Kovach, Aaron Kreisberg, Daniel Lacey, Evan Lang, Christine Lee, Amanda M. Lopez, Brittany Lopez Barreto, Andrew Maguire, Elliott Marsh, Charles Miller, Dieu My T. Nguyen, Cassandra Nickles, Jonathan P. Ocón, Elijah P. Papen, Maria Park, Benjamin Poulter, Ann Raiho, Porter Reim, Timothy H. Robinson, Fernando E. Romero Galvan, Ethan Shafron, Brenen R. Skalitzky, Sydney Stroschein, Niky C. Taylor, David R. Thompson, Kate Thompson, Cecily Tye, Joelie Van Beek, Cecilia Vanden Heuvel, Jonathan Vellanoweth, Evert Vermeer, Claire Villanueva‐Weeks, Kristen Zumdahl, David Schimel

“…We describe the rich datasets collected and illustrate how the complex sub‐seasonal patterns of change can be linked to biological science and applications, surpassing insights from multispectral observations. …”
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Exploring the Application of Text-to-Image Generation Technology in Art Education at Vocational Senior High Schools in Taiwan by Chin-Wen Liao, Hsiang-Wei Chen, Bo-Siang Chen, I-Chi Wang, Wei-Sho Ho, Wei-Lun Huang

“…The study was conducted through a multi-methodological approach that includes a systematic literature review plus participatory action research and qualitative analysis. The results showed that integrating text-to-image technology with education boosted students’ interest in activities such as prompt design and project creation and suited themes like landscapes and conceptual art. …”
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A Robust Image Encryption Scheme Based on Quantum Walks and Dynamic DNA for Secure Cloud Applications by Ahmed A. Abd El-Latif, May Almousa, Bassem Abd-El-Atty

“…The probability distribution generated by the quantum walks is integrated with the chaotic sequences of the hyperchaotic system to permutate the DNA-encoded image sequence, perform dynamic DNA operations, and execute dynamic DNA decoding, thereby increasing complexity and enhancing security. …”
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Application of Imaging Algorithms for Gas–Water Two-Phase Array Fiber Holdup Meters in Horizontal Wells by Ao Li, Haimin Guo, Yue Niu, Xin Lu, Yiran Zhang, Haoxun Liang, Yongtuo Sun, Yuqing Guo, Dudu Wang

“…The flow dynamics of low-yield horizontal wells demonstrate considerable complexity and unpredictability, chiefly attributable to the structural attributes of the wellbore and the interplay of gas–water two-phase flow. …”
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The Image of Healthcare and Healthcare Professionals in the Russian Television Media Agenda in 2019–2021 / Образ медицины и медиков в российской телевизионной медиаповестке в перио... by NOR-AREVYAN OXANA A. / НОР-АРЕВЯН О.А., MOSIENKO OLGA S. / МОСИЕНКО О.С., CHEREVKOVA ALENA I. / ЧЕРЕВКОВА А.И.

“…Don, channel Russia-1). Content analysis of news reports was conducted by the Southern Federal University research team (Rostov-on-Don, Russia) in the course of the RFBR-supported research project on social well-being of the medical community in a complex epidemiological situation. …”
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Behind the Peritoneum: A Case Report of Rare Retroperitoneal PEComa by Vaishnavi Kumar, Kalaivani Amitkumar, Nivethitha Sridharan

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Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification by Abdulaziz AlMohimeed

“…Hybrid models are developed based on Transformer models: Vision Transformer (ViT), Data-efficient Image Transformer (DeiT), and Swin Transformer are used to extract deep features from images, Principal Component Analysis (PCA) is used to reduce the complexity of extracted features, and Machine Learning (ML) models are used as classifiers to enhance performance. …”
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Immunohistochemical Detection of Tentonin-3/TMEM150C in Human Dorsal Root Ganglion, Cutaneous End-Organ Complexes, and Muscle Spindles by Iván Suazo, Yolanda García-Mesa, José Martín-Cruces, Patricia Cuendias, Teresa Cobo, Olivia García-Suárez, José A. Vega

“…Methods: We used immunohistochemistry and image analysis (examining the size of the neuronal bodies in the dorsal root ganglia) to investigate the distribution of tentonin-3/TMEM150C in human cervical dorsal root ganglia, sensory nerve formations in the glabrous skin, especially cutaneous end-organ complexes or sensory corpuscles, and muscle spindles. …”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

“…Notably, the Hamming filter significantly enhanced edge sharpness and improved tumor detection within human tissue compared to the other filters. A comprehensive complexity analysis was conducted to evaluate the algorithm’s efficiency and scalability, with a focus on computational time and resource utilization. …”
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A Combined MobileNetV2 and CBAM Model to Improve Classifying the Breast Cancer Ultrasound Images by Muhammad Rakha, Mahmud Dwi Sulistiyo, Dewi Nasien, Muhammad Ridha

“…However, the ultrasound analysis process requires a lot of time and medical personnel because classification is difficult due to noise, complex texture, and subjective assessment. …”
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Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

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Algorithm early diagnosis optic nevritis by M. S. Kasimova, G. H. Khamraeva, D. K. Mahkamova

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HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning. by Ebrahim Parcham, Mansoor Fateh, Vahid Abolghasemi

“…The key novelty of our approach lies in the integration of reinforcement learning for adaptive feature extraction and the use of graph-based techniques to analyze object relationships in complex environments. By dynamically adjusting feature extraction based on feedback from the environment, the model improves adaptability, while graph-based methods allow for a more comprehensive analysis of object relationships. …”
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The Power of Metaphor in the Representation of Mental Images in the Language of Tourism Print Advertising: Lakoff and Johnson’s Model of Conceptual Metaphor by Jawad El Bakri

“…The findings suggest that the use of metaphor is highly effective when it comes to intelligibly communicating abstract complex notions (images) related to tourist destinations. …”
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Apple Detection via Near-Field MIMO-SAR Imaging: A Multi-Scale and Context-Aware Approach by Yuanping Shi, Yanheng Ma, Liang Geng

“…Addressing challenges such as weak scattering, low texture contrast, and complex backgrounds in SAR images, we propose an innovative detection framework integrating Dynamic Spatial Pyramid Pooling (DSPP), Recursive Feature Fusion Network (RFN), and Context-Aware Feature Enhancement (CAFE) modules. …”
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Research on the Automatic Recognition Method of Micro-nano Regeneration Rubber Filler Dispersion in Scanning Electron Microscope Images by Yunhui Xu, Min Deng, Hui Tu, Zaheer ul haq, Haifeng Xu, Zhenghua Xin

“…However, current methods for assessing dispersion rely on subjective visual estimation of electron microscope images, which lack quantitative precision and are prone to human error, especially given the complex distribution of micro-nano particles. …”
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Assessing various Infrared (IR) microscopic imaging techniques for post-mortem interval evaluation of human skeletal remains. by Claudia Woess, Seraphin Hubert Unterberger, Clemens Roider, Monika Ritsch-Marte, Nadin Pemberger, Jan Cemper-Kiesslich, Petra Hatzer-Grubwieser, Walther Parson, Johannes Dominikus Pallua

“…Hence, the spectral characterization of inorganic and organic compounds by the afore mentioned techniques, followed by analyses such as multivariate imaging analysis (MIAs) and principal component analyses (PCA), appear to be suitable for the post mortem interval (PMI) estimation of human skeletal remains.…”
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