A Hybrid Deep Learning-ViT Model and A Meta-Heuristic Feature Selection Algorithm for Efficient Remote Sensing Image Classification by Bilal Ahmed, Syed Rameez Naqvi, Tallha Akram, Lu Peng, Fahdah Almarshad

“…Following the fusion process, the model focused on RS image datasets and obtained deep features from the self-attention layer. …”
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Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols by Hailong Liu, Yanxia Chen, Meng Zhang, Han Bu, Fenghuan Lin, Jun Chen, Mengqiang Xiao, Jie Chen

“…SD images were processed using standard reconstruction techniques, while accelerated images utilized AIIA reconstruction. …”
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Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam by Ha Tran Phuong, Ha Tuan Cuong

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Optimizing Image Watermarking with Dual-Tree Complex Wavelet Transform and Particle Swarm Intelligence for Secure and High-Quality Protection by Abed Al Raoof Bsoul, Alaa Bani Ismail

“…However, most watermarking approaches negatively affect the quality of the original image. In this research, we propose an optimized image watermarking approach that utilizes the dual-tree complex wavelet transform and particle swarm optimization algorithm. …”
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Wavelet deep unfolding network for iterative stripe noise removal in wideband microwave imaging system for EMS localization by Yanju Zhu, Zihan Zhao

“…However, due to the influence of manufacturing processes and the varied response characteristics of the sensors to different frequency radiation, the stripe noise exists in the obtained electromagnetic (EM) images, which severely affects the accuracy of localization. …”
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AI-Driven Precision: Transforming Below-Knee Amputation Care in Modern Healthcare by Sarah Duraid AlQaissi, Ahmed A.A. AlDuroobi, Abdulkader Ali. A. Kadaw

“…These images were processed to obtain a model that reflects the real shape of the residual limb using a specific algorithm, and the 3D model was extracted using AI segmentation tools. …”
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Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…Artificial intelligence techniques are characterized by their great ability to classify objects and classify images. In this research, some artificial intelligence algorithms, represented by swarm optimization algorithms, were used to detect and classify plant diseases to healthy and unhealthy through images of different leaves of plants. …”
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Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning by André Ramalho, Anis Assad, Benjamin Bevans, Fernando Deschamps, Telmo G. Santos, J.P. Oliveira, Prahalada Rao

“…This work concerns the wire arc directed energy deposition (WA-DED) additive manufacturing process. The objectives were two-fold: (1) observe and understand, through in-operando high-speed meltpool imaging, the causal dynamics of two common WA-DED process instabilities, namely, humping and humping-induced porosity; and (2) leverage the high-speed meltpool imaging data within machine learning algorithms for real-time detection of process instabilities. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…At first, the Sobel filter (SF) technique is utilized for preprocessing to improve the quality of blood cell images. Additionally, the modified LeNet-5 model is used in the feature extractor process to capture the essential characteristics of blood cells relevant to disorder classification. …”
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An algorithm and a program for configuring risographic printing, taking into account the printing properties of paper by V. S. Yudenkov, P. E. Sulim

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Removal of fog from hazy images and their restoration by Vidya Nitin More, Vibha Vyas

“…Road accidents can be prevented if images taken in foggy conditions are processed to improve their quality and legibility. …”
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DBSQFusion: a multimodal image fusion method based on dual-channel attention by Shaodong Liu, Faming Shao, Xiaohui He, Jinhong Xue, Heng Zhang, Qing Liu

“…However, during the fusion process, information loss is inevitable. To minimize this loss and enhance contrast and detail information, this paper proposes a novel image fusion algorithm based on attention mechanisms, termed Dual-Branch Squared Quadratic (DBSQ)Fusion. …”
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Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication by Zhihua Gan, Shiping Song, Lin Zhou, Daojun Han, Jiangyu Fu, Xiuli Chai

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Research on Digital Media Art for Image Caption Generation Based on Integrated Transformer Models in CLIP by Lu Gao, Xiaofei Pang

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Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction by Esmat Ramezanzadeh, Naser Shoeibi, Akram Feizabadi, Touka Banaee, Mohammad Hossein Bahreyni Tussi, Meysam Tavakoli

“…Method: The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). …”
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Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

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Water‐to‐Air Imaging: A Recovery Method for the Instantaneous Distorted Image Based on Structured Light and Local Approximate Registration by Bijian Jian, Ting Peng, Xuebo Zhang, Changyong Lin

“…Experimental results show that the proposed algorithm can not only reduce image distortion and improve image visualization, but also has significantly better computational efficiency than other methods, achieving an “end‐to‐end” processing effect.…”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…Thus, in this paper, a Radial Basis Function Neural Network (RBFNN) trained using Manta Ray Foraging Optimization algorithm (MRFO) is proposed. RBFNN is a three-layer network comprising of input, output, and hidden layers that can process large amounts. …”
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