Image Classification Models as a Balancer Between Product Typicality and Novelty by Hung-Hsiang Wang, Hsueh-Kuan Chen

“…Focusing on seven key visual features of the vehicles, we used the Waikato environment for knowledge analysis (WEKA) to train an image classification model on the dataset through three separate training and testing sessions. …”
Get full text

Educational Methodical and Technological Knowledge in Library and Information Activities by I. S. Pilko

“…The need to track and understand the tools that are relevant for library practice is an important task of library and bibliographic sciences; timely integration of new methods and technologies into the process of training library personnel is a task of professional education. …”
Get full text

Shale volume estimation using machine learning methods from the southwestern fields of Iran by Parirokh Ebrahimi, Ali Ranjbar, Yousef Kazemzadeh, Ali Akbari

“…Nine petrophysical log datasets, including SP, RHOZ, PEFZ, NPHI, HLLS, HLLD, HCAL, and DT, were utilized as input features for training the models. The models were evaluated based on performance metrics such as correlation coefficient (R2), average relative error (ARE), root mean square error (RMSE), and mean squared error (MSE). …”
Get full text

Sub-regional radiomics combining multichannel 2-dimensional or 3-dimensional deep learning for predicting neoadjuvant chemo-immunotherapy response in esophageal squamous cell carci... by Jiahao Zhu, Benjie Xu, Tiantian Fan, Shengjun Ji, Ke Gu, Jiaxuan Ding, Haibo Lu, Jianqun Ma, Yang Zhou

“…Tumor sub-regions were identified using K-means clustering based on radiomic features, and predictive features were extracted using PyRadiomics. …”
Get full text

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach by Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian

“…The model initially uses radiomics‐based multiparametric MRI to identify csPCa and then refines the Gleason grading by integrating clinical indicators and radiomics features. …”
Get full text

DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts by Qinghui Weng, Mingyi Hu, Guohao Peng, Jinlin Zhu

“…DMoVGPE utilizes a dynamic gating mechanism, implemented through a neural network with fully connected layers and dropout for regularization, to select the most relevant Gaussian Process experts. During training, the gating network refines expert selection, dynamically adjusting their contribution based on the input features. …”
Get full text

A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…Current research priorities revolve around enhancing GAN training stability, resolution, and manipulable facial features. …”
Get full text

RETRACTED ARTICLE: Multiclass skin lesion classification using deep learning networks optimal information fusion by Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar, Suresh Manic Kesavan

“…After training, features are extracted from the average pool layer and optimized using a hybrid firefly optimization technique. …”
Get full text

Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples by Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

“…Although adversarial training methods, which train models with adversarial examples, have been proposed to defend against such attacks, they typically require prior knowledge of the attack. …”
Get full text

Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

“…They were split into training and testing sets in a 7:3 ratio. Handcrafted radiomics features were harvested following the careful manual segmentation of the regions of interest (ROI). …”
Get full text

Supervised Learning of Depth Estimation From Imperfect Rectified Stereo Laparoscopic Images of Liver Surface by Chongan Zhang, Ziyi Jin, Xiaoyue Liu, Yuelong Liang, Xiao Liang, Peng Wang, Xiujun Cai, Xuesong Ye

“…The experiments demonstrate that, compared to non-learning algorithms based on white light image features, the ACVNet++ algorithm reduces the average absolute error (MAE) and endpoint error (EPE) of depth prediction under white light conditions by 51% and 44%, reaching 2.46 mm and 2.56 pixels, respectively. …”
Get full text

Developing an effective teaching model in order to improve the educational level of schools by Mehdi Mohammadi, fardin Abdollahy, Rafigh Hasani

“…The research community includes academic experts familiar with the subject. Based on the purposeful sampling method; after a semi-structured interview with 15 people, theoretical saturation was achieved and the interview was stopped. …”
Get full text

Inflammation Biomarker-Driven Vertical Visualization Model for Predicting Long-Term Prognosis in Unstable Angina Pectoris Patients with Angiographically Intermediate Coronary Lesio... by Zhou B, Tan W, Duan S, Wang Y, Bian F, Zhao P, Wang J, Yao Z, Li H, Hu X, Wang J, Liu J

“…A nomogram was constructed to predict the probability of MACCE-free survival based on five clinical features: diabetes mellitus, current smoking, history of myocardial infarction, neutrophil-to-lymphocyte ratio, and fasting blood glucose. …”
Get full text

EFFECT OF ISOMETRIC SQUAT EXERCISE ON SPRINT PERFORMANCE OF FOOTBALL PLAYERS by Basit Ali, Syed Muhammad Bilal Gillani, Muhammad Zeeshan Butt

“…Within 3 to 5 days after base training pre-test will be conducted in the morning by using 40-yard dash test. …”
Get full text

Toward a Multidecadal SAR Analysis of Sea Ice Types in the Atlantic Sector of the Arctic Ocean by Wenkai Guo, Jack Landy, Johannes Lohse, Anthony P. Doulgeris, Malin Johansson, Torbjorn Eltoft, Polona Itkin, Shiming Xu

“…We use a Gaussian sea ice type classifier correcting for per-class incidence angle effects on SAR images. Input features include backscatter intensities corrected for thermal noise mainly using Kalman filtering, and gray-level co-occurrence matrix-based image textures. …”
Get full text

Analyzing Racial Differences in Imaging Joint Replacement Registries Using Generative Artificial Intelligence: Advancing Orthopaedic Data Equity by Bardia Khosravi, MD, MPH, MHPE, Pouria Rouzrokh, MD, MPH, MHPE, Bradley J. Erickson, MD, PhD, Hillary W. Garner, MD, Doris E. Wenger, MD, Michael J. Taunton, MD, Cody C. Wyles, MD

“…Background: Discrepancies in medical data sets can perpetuate bias, especially when training deep learning models, potentially leading to biased outcomes in clinical applications. …”
Get full text

High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models by Zhili Zhang, Xiangyun Hu, Yue Yang, Bingnan Yang, Kai Deng, Hengming Dai, Mi Zhang

“…OSISeg utilizes robust visual priors from foundation models and implements a hybrid adapter-based strategy for fine-tuning these models. Specifically, It employs a parallel structure with hybrid adapter designs to adjust multi-head self-attention and feed-forward neural networks within foundation models, effectively aligning remote sensing image features for interactive segmentation tasks. …”
Get full text

Advancing Taxonomic Classification Through Deep Learning: A Robust Artificial Intelligence Framework for Species Identification Using Natural Images by Shaheer Habib, Mubashir Ahmad, Yasin Ul Haq, Rabia Sana, Asia Muneer, Muhammad Waseem, Muhammad Salman Pathan, Soumyabrata Dev

“…Featuring 4 million trainable parameters, our modified ResNet-50 model demonstrated superior computational efficiency and accuracy. …”
Get full text

Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…The controlling factors for abrasion were developed based on geometric and hydraulic features. The abrasion inventory map, consisting of over 1 million data points indicating damaged and non-damaged sites, was divided equally for training and testing the XGBoost algorithm. …”
Get full text

Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF) by Daniel Lafontaine, Stephanie Chahwan, Gustavo Barraza, Burcin Agridag Ucpinar, Gunjan Kayal, Nicolás Gómez-Banoy, Paul Cohen, John L. Humm, Heiko Schöder

“…By leveraging machine learning to discern intricate patterns in imaging data, this study aims to advance the automation of BAT recognition and provide precise quantitative assessment of radiographic features. Results We used a semi-automatic, threshold-based 3DF workflow to segment 317 PET/CT scans containing BAT. …”
Get full text