Virtual phantom methodology for assessment of MRI distortion correction in high-precision stereotactic radiosurgery treatment planning by Tristan Belloeil-Marrane, Adrian Gutierrez, Marlies Boussaer, Cristina Teixeira, Thierry Gevaert, Mark De Ridder

“…To evaluate the impact of the distortion correction, each corrected/non-corrected image set was compared to the unbiased MRI using Root-mean-square-error (RMSE) as a full-image reference comparison metric.ResultsThe distortion correction allows for an improvement based on the RMSE correlation between baseline and distorted MRIs. …”
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A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm by Wei Sun, Hui Liu, Yu Wang, Weihao Shi, Xiao Wang, Zhiwei Zou

“…The methodology first establishes a multi-level data decision tree using grid resource business middle-platform data, then applies a decision tree pruning algorithm based on Akaike information criterion. The ant colony algorithm optimizes the pruning parameters of the decision tree model, and after obtaining optimal pruning parameters, processes the grid resource business middle-platform data decision tree to generate an improved version. …”
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Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm by Y. Chu, Y. Chu, H. Zhang, X. Li, J. Henneberger

“…To determine the minimum number of ice crystal images that require human labeling while maintaining the algorithm performance, the algorithm is trained and evaluated on datasets with varying sizes and numbers of categories. …”
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Safety anchors and deflected desires: generative AI and the production of sexualities by Daniel Carter

“… Introduction. Many images generated by AI appear sexual in nature, and a great deal of attention is paid in computer science to preventing systems from producing some forms of sexual content. …”
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Waves of Pixels and Word-generated Algorithms: Drone Poetry as a Collaborative Practice between Machine and Human in Waveform by Richard A. Carter by Katarzyna Ostalska

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Analysis of Public Sentiment Towards POLRI's Performance using Naive Bayes and K-Nearest Neighbors by Yusuf Handika, Isa Faqihuddin Hanif, Firman Noor Hasan

“…The assessment from confusion matrix results demonstrate that the Naive Bayes algorithm achieves 99.03% accuracy, while the K-Nearest Neighbors algorithm achieves 95.33% accuracy. …”
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A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms by G. Roncoroni, P. Koyan, E. Forte, J. Tronicke, M. Pipan

“…The standardized, realistic synthetic data set can be used as a reliable benchmark for developing and testing new algorithms and methods, thereby advancing the understanding of subsurface imaging and real-world data interpretation.…”
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The Method of Segmentation of Cervical Nuclei in Complex Background by ZHAO Jing, LIANG Long-kai, HE Yong-jun, XIE Yi-ning

“…With the binary image, the watershed algorithm was finally performed to segment the image. …”
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New Advances of the P-SBAS Approach for an Efficient Parallel Processing of Large Volumes of Full-Resolution Multitemporal DInSAR Interferograms by Manuela Bonano, Pasquale Striano, Muhammad Yasir, Sabatino Buonanno, Francesco Casu, Claudio De Luca, Adele Fusco, Yenni Lorena Belen Roa, Ivana Zinno, Maria Virelli, Michele Manunta, Riccardo Lanari

“…This article presents an innovative, parallel implementation of the Small BAseline Subset (SBAS) approach to automatically and efficiently process large volumes of multitemporal differential synthetic aperture radar (SAR) interferometry (DInSAR) interferograms generated at the native full spatial resolution of the SAR images. …”
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Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model by Kanti Rongali Divya, Rao Gottapu Sasibhushana, Aruna Singam

“…Then, the images are forwarded to the pre-processing phase. …”
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Super-resolution reconstruction technology and its application on intelligent terminal device by Guqiao ZHU, Chao JIANG, Yuye XU

“…The development history of super-resolution reconstruction technology and its typical approaches were briefly introduced.An implementation solution of super-resolution reconstruction was proposed on one kind of intelligent terminal device.The image super-resolution approaches implemented by interpolation algorithms and deep learning algorithms were experimented and simulated, and their results on terminal’s processing performance and images’ quality of experience were evaluated and analyzed.The suggestions on appropriate scenarios of super-resolution implemented by the intelligent terminal device were proposed.Furthermore, some typical cases of super-resolution reconstruction technology in the fields of entertainment video services and home surveillance services were discussed.The possible research direction and the trend of convergence of this technology and relevant image processing technologies were also prospected.…”
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A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing by Yi Ren, Tianyi Zhang, Zhixiong Han, Weibin Li, Zhiyang Wang, Wenbo Ji, Chenhao Qin, Licheng Jiao

“…Therefore, we propose an adaptive fine-tuning algorithm for multimodal large models. The core steps of this algorithm involve two stages of data truncation. …”
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A Self-Supervised Adversarial Deblurring Face Recognition Network for Edge Devices by Hanwen Zhang, Myun Kim, Baitong Li, Yanping Lu

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An Innovative Indoor Localization Method for Agricultural Robots Based on the NLOS Base Station Identification and IBKA-BP Integration by Jingjing Yang, Lihong Wan, Junbing Qian, Zonglun Li, Zhijie Mao, Xueming Zhang, Junjie Lei

“…Finally, the improved black kite algorithm (IBKA) is enhanced with tent chaotic mapping, a lens imaging reverse learning strategy, and the golden sine strategy to optimize the weights and biases of the BP neural network, developing an RSSI-based ranging algorithm using the IBKA-BP neural network. …”
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FLIP: A Novel Feedback Learning-Based Intelligent Plugin Towards Accuracy Enhancement of Chinese OCR by Xinyue Tao, Yueyue Han, Yakai Jin, Yunzhi Wu

“…Experimental evaluation on 10,000 Chinese document images using four state-of-the-art OCR models demonstrates consistent improvements across all tested systems, with precision gains ranging from 1.17% to 10.37% and overall Chinese character recognition accuracy exceeding 98%. …”
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Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

“…GoogleNet is a pre-trained network model used with the hybrid model, which helps converge faster with the optimization process. The extreme learning machine (ELM) is a multiclass classifier for accurate dermoscopic image classification. …”
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Mammography reporting dataset with BI-RADS system for natural language processing applications: Addressing public data gaps in SpanishZENODO by José Luis Vázquez Noguera, Alejandro Torres-Hurtado, Helena Gómez-Adorno, Julio César Mello-Román, Enrique Javier Fleitas-Alvarez, Federico Fernando Espinola Schulze, Miguel Garcia-Torres, Carlos Domingo Méndez Gaona, Pedro Esteban Gardel Sotomayor, Silvia Vázquez Noguera, Norma Elizabeth Zaracho Amarilla, Oxades Wilfrido Gamarra Esquivel

“…Applying Natural Language Processing (NLP) to clinical reports is important for automating the analysis and classification of clinical data, improving diagnostic accuracy, and enhancing healthcare workflows. …”
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Iris: A Next Generation Digital Pathology Rendering Engine by Ryan Erik Landvater, Ulysses Balis

“…Iris Core comprises machine code modules written from the ground up in C++ and using Vulkan, a low-level and low-overhead cross-platform graphical processing unit application program interface, and our novel rapid tile buffering algorithms. …”
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Analytical Device and Prediction Method for Urine Component Concentrations by Zhe Wang, Jianbang Huang, Qimeng Chen, Yuanhua Yu, Xuan Yu, Yue Zhao, Yan Wang, Chunxiang Shi, Zizhao Zhao, Dachun Tang

“…To tackle the low-accuracy problem with analyzing urine component concentrations in real time, a fully automated dipstick analysis device of urine dry chemistry was designed, and a prediction method combining an image acquisition system with a whale optimization algorithm (WOA) for BP neural network optimization was proposed. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…Subsequently, the fuzzy KNN algorithm is applied for the matching process. This combined methodology aims to improve the overall performance of iris recognition systems by leveraging advanced segmentation, search, and classification techniques. …”
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