Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI by Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Lars-Arne Schaafs, Matthias Haas, Lukas J. Kurz, Bernd Hamm, Sebastian N. Nagel

“…The purpose of this study was to evaluate if feature maps calculated from T2-weighted (T2w) 3 Tesla (3T) MRI can help detect csPCa in PI-RADS category 3 lesions. …”
Get full text

Remote Sensing Surveillance Using Multilevel Feature Fusion and Deep Neural Network by Laiba Zahoor, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz Alhammadi, Ahmad Jalal, Hui Liu

“…The extracted features are optimized by using quadratic discriminant analysis. …”
Get full text

CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals by Ugur Ince, Yunus Talu, Aleyna Duz, Suat Tas, Dahiru Tanko, Irem Tasci, Sengul Dogan, Abdul Hafeez Baig, Emrah Aydemir, Turker Tuncer

“…Classification results were obtained using the cumulative weighted iterative neighborhood component analysis (CWINCA) feature selector and the t-algorithm-based k-nearest neighbors (tkNN) classifier. …”
Get full text

Multibranch Network for Addressing Intraclass Variation in Remote Sensing Building Detection by Ryuhei Hamaguchi

“…This article presents multibranch network architecture for addressing the problem of large intraclass variation in building detection task. Previous methods solved the problem by learning single structured and shared feature space with regularization. …”
Get full text

Methods for analysis and monitoring of heavy metals in the environment by A. R. Tsygankova, S. A. Gulyaev, L. S. Adamenko, M. A. Shestopalov

“…The data is structured in the form of a table, which shows specific analysis methods, indicating the method of sample preparation and/or features of instrumental determination, a list of elements to be determined and the limits of detection.…”
Get full text

Semantic rule-based sentiment detection algorithm for Russian publicism sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov, Elena I. Boychuk

“…The results of errors analysis are also presented.…”
Get full text

Leveraging K-Means Clustering and Z-Score for Anomaly Detection in Bitcoin Transactions by Jinish Patel, Joseph Reiner, Brenden Stilwell, Abdullah Wahbeh, Raed Seetan

Get full text

Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Principal component analysis (PCA), correlation analysis, and feature engineering is applied to retain the most informative features. …”
Get full text

Profiling antivaccination channels in Telegram: early efforts in detecting misinformation by Aelita Skarzauskiene, Monika Maciuliene, Aiste Dirzyte, Gintare Guleviciute

Get full text

Efficient and Effective Detection of Repeated Pattern from Fronto-Parallel Images with Unknown Visual Contents by Hong Qu, Yanghong Zhou, P. Y. Mok, Gerhard Flatz, Li Li

“…The effective detection of repeated patterns from inputs of unknown fronto-parallel images is an important computer vision task that supports many real-world applications, such as image retrieval, synthesis, and texture analysis. …”
Get full text

Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns by Elham Ghasemi, Esmaeil Ebrahimie, Ali Niazi

“…These results demonstrate the potential of electrical signal analysis combined with machine learning as a practical, rapid, non-invasive, and affordable tool for early virus detection in plants that is easy to use by non-specialists. …”
Get full text

Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study by Ming De Lim, Tee Connie, Michael Kah Ong Goh, Nor ‘Izzati Saedon

“…ObjectiveThe study aimed to develop a noninvasive approach for the early detection of PD by analyzing model-based gait features. …”
Get full text

Comparative Analysis of Machine Learning and Deep Learning Models for Lung Cancer Prediction Based on Symptomatic and Lifestyle Features by Bireswar Dutta

Get full text

A Novel Long Short-Term Memory-Based Approach for Microgrid Fault Detection and Classification Using the Wavelet Scattering Transform by Naema M. Mansour, Abdelazeem A. Abdelsalam, Ibrahim A. Awaad

“…To address this gap, this study proposes a novel fault detection and classification approach that combines the Wavelet Scattering Transform (WST) for robust feature extraction with a Long Short-Term Memory (LSTM) network for accurate temporal pattern recognition and classification. …”
Get full text

Sonographic features of axial torsion of Meckel's diverticulum in 12 pediatric patients: a retrospective analysis and literature review by Yanxiu Hu, Liqun Jia, Yu Wang, Yue Xin, Xiaoman Wang

“…Early recognition of these features may expedite preoperative diagnosis, enable timely surgical intervention and improve clinical outcomes. …”
Get full text

Use of Explainable Artificial Intelligence for Analyzing and Explaining Intrusion Detection Systems by Pamela Hermosilla, Mauricio Díaz, Sebastián Berríos, Héctor Allende-Cid

Get full text

High-Accuracy Intermittent Strabismus Screening via Wearable Eye-Tracking and AI-Enhanced Ocular Feature Analysis by Zihe Zhao, Hongbei Meng, Shangru Li, Shengbo Wang, Jiaqi Wang, Shuo Gao

Get full text

FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…MFIM strengthens the collaborative expression of low-level details and high-level semantics through multi-scale feature alignment and progressive fusion, effectively integrating low-level details and high-level semantics, significantly improving small object detection performance. …”
Get full text

Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Firstly, considering the multidimensional complexity of textual features, we integrate comprehensive feature engineering, i.e., encompassing word frequency, statistical metrics, sentiment analysis, and comment tree structure features, as well as advanced feature selection methodologies, particularly lassonet, i.e., a neural network with feature sparsity, to effectively address dimensionality challenges while enhancing model interpretability and computational efficiency. …”
Get full text

Computed tomography-based conventional imaging features and texture analysis characteristics of chemotherapy drug-related acute pancreatitis by Quanlin Li, Chuanmei Liu, Zijian Fan, Hong Zhang, Zhiguo Kai

“…Imaging texture analysis may serve as a potential biomarker for its detection. …”
Get full text