Turbulence-Resilient Object Classification in Remote Sensing Using a Single-Pixel Image-Free Approach by Yin Cheng, Yusen Liao, Jun Ke

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Non-uniform Fourier transform based image classification in single-particle Cryo-EM by ZiJian Bai, Jian Huang

“…In the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier transform to the images and extract rotation-invariant features in the frequency domain. …”
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Efficient feature selection for histopathological image classification with improved multi-objective WOA by Ravi Sharma, Kapil Sharma, Manju Bala

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Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

“…In this study, a multi-label classification (MLC) model based on transfer learning and data augmentation has been developed to generate multiple information elements on the same image and to realize classification. …”
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Leveraging Feature Fusion of Image Features and Laser Reflectance for Automated Fish Freshness Classification by Caner Balım, Nevzat Olgun, Mücahit Çalışan

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ViT-Based Classification and Self-Supervised 3D Human Mesh Generation from NIR Single-Pixel Imaging by Carlos Osorio Quero, Daniel Durini, Jose Martinez-Carranza

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Classification of iPSC-derived cultures using convolutional neural networks to identify single differentiated neurons for isolation or measurement by Purva Patel, Lina K. Mohammed Ali, Uma Kaushik, Mallory Wright, Kaylee Green, Jason E. Waligorski, Colin L. Kremitzki, Graham W. Bachman, Serena N. Elia, William J. Buchser

“…Abstract Understanding neurodegenerative disease pathology requires a close examination of neurons and their processes. However, image-based single-cell analyses of neurons often require laborious and time-consuming manual classification tasks. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

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

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Fusion Classification Method Based on Audiovisual Information Processing by Peiju Chen, Xuan Zhang, Huijun Zhao, Huiliang Cao, Xuemei Chen, Xiaochen Liu

“…The advantage of this method is that the spectrogram can fully utilize the effective information in the audio, ensuring stability, while also effectively addressing the challenge of fusing one-dimensional time series audio signals with two-dimensional discrete image signals. (2) We propose a convolutional extraction and modal fusion network framework that incorporates an attention mechanism module during the fusion process, ensuring the stability and robustness of the fused data for audiovisual target classification. …”
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Object Recognition and Positioning with Neural Networks: Single Ultrasonic Sensor Scanning Approach by Ahmet Karagoz, Gokhan Dindis

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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images by Mamuna Fatima, Muhammad Attique Khan, Anwar M. Mirza, Jungpil Shin, Areej Alasiry, Mehrez Marzougui, Jaehyuk Cha, Byoungchol Chang

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LatentResNet: An Optimized Underwater Fish Classification Model with a Low Computational Cost by Muhab Hariri, Ercan Avsar, Ahmet Aydın

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MMTSCNet: Multimodal Tree Species Classification Network for Classification of Multi-Source, Single-Tree LiDAR Point Clouds by Jan Richard Vahrenhold, Melanie Brandmeier, Markus Sebastian Müller

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MediScan: A Framework of U-Health and Prognostic AI Assessment on Medical Imaging by Sibtain Syed, Rehan Ahmed, Arshad Iqbal, Naveed Ahmad, Mohammed Ali Alshara

“…The proposed healthcare system aims to integrate patients, doctors, laboratories, pharmacies, and administrative personnel use cases and their primary functions onto a single platform. The proposed framework can also process microscopic images, CT scans, X-rays, and MRI to classify malignancy and give doctors a set of AI precautions for patient risk assessment. …”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

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Deep learning-based approach for extracting inflorescence morphology features in cut chrysanthemum by Shanpeng Xu, Jingshan Lu, Yin Wu, Huahao Liu, Fadi Chen, Fei Zhang, Sumei Chen, Weimin Fang, Zhiyong Guan

“…Traditional manual or rule-based image processing methods are inefficient and struggle with complex floral structures. …”
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Towards Species-Specific Coral Classification in Reef Monitoring Efforts by Hyeong Jang, Jonathan Leidig, Greg Wolffe

“…Monitoring the health of coral reefs has traditionally required human labor-intensive effort in the collection and analysis of captured survey data and underwater images. Typical Marine Ecology tasks involve the classification of features within benthic maps and the estimation of coral coverage of the seafloor. …”
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A Study of Feature Combination for Vehicle Detection Based on Image Processing by Jon Arróspide, Luis Salgado

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