Framework for Mapping Sublimation Features on Mars’ South Polar Cap Using Object-Based Image Analysis by Racine D. Cleveland, Vincent F. Chevrier, Jason A. Tullis

“…This study applies object-based image analysis (OBIA) to automate the detection and measurement of SCFs using High-Resolution Imaging Science Experiment (HiRISE) images spanning five Martian years. …”
Get full text

Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study by Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković

“…The feature selection demonstrates that the root mean square of the amplitude as well as the maximum and mean values of the power spectral density (PSD) calculated on all DWT coefficients, are effective for CS detection while the dominant EGG scale could not indicate CS for any level of decomposition. …”
Get full text

The Problem of Detecting Incitement in Extremist Content (Using Examples from the Internet) by T. V. Berdnikova

Get full text

Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

“…The analysis revealed vital features significantly impacting malware detection, such as process services, active services, file handles, registry keys, and callback functions. …”
Get full text

Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…This study explores various methods for transforming energy consumption patterns into two-dimensional (2D) representations to enhance feature extraction and NTL detection. Six encoding techniques for time series data were evaluated: Markov transition fields (MTF), Gramian angular summation field (GASF), Gramian angular difference field (GADF), Recurrence plots (RP), and time–frequency analysis methods, including short-time Fourier transform (STFT) and continuous wavelet transform (CWT). …”
Get full text

Abnormal events detection using spatio-temporal saliency descriptor and fuzzy representation analysis by R. Tino Merlin, R. Karthick, A. Aalan Babu, G. Vennira Selvi, D. Usha, R. Nithya

Get full text

ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis by R. P. Bohush, D. A. Tychko

Get full text

Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

“…Principal Component Analysis (PCA) has proven to be a helpful feature selection technique for dimensionality reduction. …”
Get full text

Comparative Analysis of Keypoint Detection Performance in SIFT Implementations on Small-Scale Image Datasets by Arif Rahman, Suprihatin, Imam Riadi, Tawar, Furizal

“…This study examines the keypoint extraction of three well-known SIFT libraries, i.e., David Lowe's implementation, OpenSIFT, and vlSIFT in vlfeat. Performance analysis was conducted on multiclass small-scale image datasets to capture the sensitivity of keypoint detection. …”
Get full text

Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…Traditional methods for detecting insider threats, such as Random Forest and Isolation Forest, suffer from high computational resource consumption, poor feature representation, and sensitivity to noise. …”
Get full text

Characterising Payload Entropy in Packet Flows—Baseline Entropy Analysis for Network Anomaly Detection by Anthony Kenyon, Lipika Deka, David Elizondo

“…Such entropy metrics can be included within feature subsets, thus making the feature set richer for subsequent analysis and machine learning applications.…”
Get full text

A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging by Sidrah Mumtaz, Mudassar Raza, Ofonime Dominic Okon, Saeed Ur Rehman, Adham E. Ragab, Hafiz Tayyab Rauf

Get full text

Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

“…Therefore, Enhanced Grey Wolf Optimization (EGWO) for Feature Selection (FS) is implemented. The function of EGWO is to remove unnecessary features from datasets used for intrusion detection. …”
Get full text

Comparative analysis of features phenotype limb-girdle muscular dystrophy 2А and 2I types by I. V. Sharkova, E. L. Dadali, O. P. Ryzhkova, V. N. Evdokimenkov

Get full text

Analysis of Electrodermal Signal Features as Indicators of Cognitive and Emotional Reactions—Comparison of the Effectiveness of Selected Statistical Measures by Marcin Jukiewicz, Joanna Marcinkowska

“…It was also found that some signal features were highly correlated, suggesting the possibility of simplifying the analysis by choosing just one measure from each correlated pair. …”
Get full text

A pan-cancer analysis of MARCH8: molecular characteristics, clinical relevance, and immuno-oncology features by Zihan Quan, Songqing Fan, Hongmei Zheng, Yue Ning, Yang Yang

Get full text

Intelligent Recognition of Rock Mass Discontinuities on the Basis of RGB-Enhanced Point Cloud Features by Honghai Cui, Junqi Chen, Xinyue Wang, Zihan Zhao, Jiali Han, Qi Sun, Wen Zhang

Get full text

Computed Tomographic Features of Bezoars and Other Gastrointestinal Foreign Bodies in Dogs and Cats: A Comparative Analysis by Jongwon Koo, Kidong Eom, Jaehwan Kim, Jeongyun Jeong, Hongji Yoon, Minsu Lee, Jinsoo Park, Jongmun Cho

“…This study presents a comparative analysis of the computed tomographic (CT), radiographic, and ultrasonographic (US) characteristics of gastrointestinal foreign bodies, including bezoars, in dogs and cats, and evaluates their association with complications and clinical outcomes. …”
Get full text

ALGORITHM OF UNMANNED AERIAL VEHICLES ACOUSTIC SIGNALS DETECTION BASED ON ANALYSIS OF FRACTAL DIMENSION by Leonid M. Artushin, Mykola V. Buhaiov

“…It is established that the values of FD for broadband noise are subordinated to the normal probability density distribution law. An algorithm for detecting of UAV acoustic signals based on the analysis of FD with a constant probability of false alarm is proposed. …”
Get full text

Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…To address this gap, we propose ESA-BotRGCN, an emoji-driven multi-modal detection framework that integrates semantic enhancement, sentiment analysis, and multi-dimensional feature modeling. …”
Get full text