A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…Initially, during the two-stage training process, the keypoint detection phase aims to improve the CenterNet algorithm’s limited heatmap fitting capability for dense keypoints by incorporating a heatmap grid classification task. …”
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Formation of the pediatric electroretinogram database parameters for the development of doctor’s decisionmaking algorithm by A. E. Zhdanov, A. Yu. Dolganov, V. N. Kazaykin, V. I. Borisov, V. O. Ponomarev, L. G. Dorosinsky, A. V. Lizunov, E. Luchian, X. Bao

“…This article describes the formation of the parameters of pediatric electroretinogram database parameters for the development of doctor’s decision-making algorithm. The signal parameters were obtained by extracting the parameters from the wavelet scalogram of the electroretinogram signal using digital image processing and machine learning methods.…”
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Hiding Encryption Text by DNA using Exploiting Modification Direction Algorithm by Mohammad Hashim, Melad saeed

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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

“…However, acquiring large quantities of high‐quality image data and processing them efficiently often remain a bottleneck. …”
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Advancement of the DRPE Encryption Algorithm for Phase CGHs by Random Pixel Shuffling by Alfonso Blesa, Francisco J. Serón

“…This work presents an optical encryption process for various types of information related to 3D worlds (scenes) or 2D images, utilizing Computer-Generated Holograms (CGHs). …”
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An Algorithm for Correcting Levels of Useful Signals on Interpretation of Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…In the process of forming these images, only useful signals are taken into account, the threshold levels of amplitudes of which are determined automatically from eddy-current data. …”
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Post-processing of a distributed source method for the localization of somatosensory cortex in a cohort of epilepsy patients by Kevin Tyner, Matthew McCumber, Srijita Das, Carmen Urban, Anthony J. Maxin, Tiffany Chu, Mustaffa Alfatlawi, Stephen V. Gliske

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Deep‐Learning‐Enhanced Electron Microscopy for Earth Material Characterization by Hans vanMelick, Richard Taylor, Oliver Plümper

“…The paired HR and LR images are then used to train a Generative Adversarial Network, where a generator and discriminator jointly train through an adversarial process to produce HR images from LR inputs. …”
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GS-ReLoc: A Gaussian-Splatting Relocalization Method for Robust and Accurate Mono Camera Pose Estimation by Karoly Fodor, Andras Rovid

“…Common approaches to visual relocalization rely on image retrieval to find the most similar image in a database, followed by 2D-2D feature matching to estimate the query image’s pose. …”
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A Vehicle Reidentification Algorithm Based on Double-Channel Symmetrical CNN by Lijun Yang, Tangsen Huang

“…In this case, with limited training samples, the combination of inputs will be more diversified, and the training process of the CNN model will be more abundant. Experiments show that the recognition accuracy of the proposed algorithm is better than other existing methods, which further verifies the effectiveness of the proposed algorithm in this study.…”
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Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology by Chen Bin, Lei Dong, Huang Liangjun, Liu Qingdong, Zhao Xuan, Shi Yuanping

“…Combining the deep learning model with the multi model hierarchical classification algorithm, the remote sensing prediction map based on deep learning is used as the classification base map, and the normalized difference vegetation index threshold is used to classify the uncovered area. …”
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Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network by Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan

“…These reconstructed features serve as input to a classification module, comprising a multi-layer neural network, GCN, adept at processing graph-structured data, alongside conventional machine learning classifiers such as Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Random Forest (RF), facilitating categorization of chest X-ray images into COVID-19, pneumonia, and normal cases. …”
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Research on Lightweight Small Object Detection Algorithm Based on Context Representation by Li Qiang, Cui Jianghui

“…This paper proposes a lightweight framework algorithm based on a contextual semantic fusion model, which is built upon the YOLOv7 model. …”
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An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars by Pengyu Ren, Xuyun Qiu, Qi Gao, Yumin Song

“…Aiming to improve upon existing object detection algorithms, which have the problem of low object recognition accuracy in orchard operation scenes, we propose an orchard vehicle object detection algorithm based on Attention-Guided Orchard PointPillars (AGO-PointPillars). …”
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Visual System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms (VIAEVCA) by Hedva Spitzer, Yosef Shai Kashi, Morris Mosseri, Jacob Erel

“…Yet, viewing the processed images from multiple angles and not just from a single one and evaluating the cine mode usually overcomes this drawback. …”
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Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning by Supasuta Busayakanon, Morakot Kaewthamasorn, Natchapon Pinetsuksai, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang, Veerayuth Kittichai

“…Materials and Methods: We acquired a public dataset featuring microscopic images of Giemsa-stained thin blood films of trypanosomes and other blood parasites, including Babesia, Leishmania, Plasmodium, Toxoplasma, and Trichomonad, as well as images of both white and red blood cells. …”
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Lightweight defect detection algorithm of tunnel lining based on knowledge distillation by Anfu Zhu, Jiaxiao Xie, Bin Wang, Heng Guo, Zilong Guo, Jie Wang, Lei Xu, SiXin Zhu, Zhanping Yang

“…Tests on the tunnel lining radar defect image dataset showed that the number of parameters of the improved model was reduced from 16.03 MB to 3.20 MB, a reduction of 80%, and the average accuracy was improved from 83.4 to 86.5%, an increase of 3.1%. …”
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Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

“…Image features are extracted using the pre-trained convolutional neural network model Inception ResNetV2 and image data is clustered by K-means clustering algorithm. …”
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OPTIMIZED CLUSTER-BASED COMMUNICATION IN MWSN USING FUZZY NEURAL NETWORKS AND CROW SEARCH ALGORITHM by S Archana, V Jayapradha

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DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK by N Suganthi, R Meenakshi, A Sairam, M Parvathi

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