A problem-agnostic approach to feature selection and analysis using SHAP by John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang

“…Our contribution is to provide a comparative analysis of features selected in the three label availability scenarios. …”
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Signal entropy feature extraction and simulation analysis of the armored target with passive millimeter wave by Jianli FENG, Mingshi LUO, Xiaomin ZHANG

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Signal entropy feature extraction and simulation analysis of the armored target with passive millimeter wave by Jianli FENG, Mingshi LUO, Xiaomin ZHANG

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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

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Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence by Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes

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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

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Network traffic detection based on multi-resolution low rank model by Guo-zhen CHENG, Dong-nian CHENG, Ding-jiu YU

Subjects: “…anomaly detection;feature filtering;multi-resolution analysis;low-rank distribution…”
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Detection of Psychomotor Retardation in Youth Depression: A Machine Learning Approach to Kinematic Analysis of Handwriting by Vladimir Džepina, Nikola Ivančević, Sunčica Rosić, Blažo Nikolić, Dejan Stevanović, Jasna Jančić, Milica M. Janković

“…This study proposes a novel machine learning framework leveraging kinematic handwriting analysis to enhance the detection of psychomotor disturbances indicative of psychomotor retardation in youths with depression. …”
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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…Motivated by the limitations, the present study comes up with an innovative automated solution for the identification of breast cancer using deep learning analysis of mammograms. Moving away from the traditional approaches with inherent pre-processing and feature extraction constraints, this research focuses on a two-pronged improvement strategy: improved mammogram quality and highly optimized deep learning architecture. …”
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Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM by Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, Har Pal Thethi

“…The segmentation, detection, and extraction of infected tumor area from magnetic resonance (MR) images are a primary concern but a tedious and time taking task performed by radiologists or clinical experts, and their accuracy depends on their experience only. …”
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Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection by Khandaker Mohammad Mohi Uddin, Md. Tofael Ahmed Bhuiyan, Md. Mahbubur Rahman, Md. Manowarul Islam, Md Ashraf Uddin

“…In this study, we examined a dataset consisting of 541 patient records to enhance the detection of PCOS using advanced machine learning techniques. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

Subjects: “…Hate speech detection…”
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Optical Coherence Tomography-Based Fingerprint Presentation Attack Detection via Multi-Tissue Features Contribution Analysis by Zhanqing Li, Jie Ji, Jiajin Qi, Haonan Fang, Yipeng Liu

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Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features by Hung-Wen Tsai, Chien-Yu Chiou, Wei-Jong Yang, Tsan-An Hsieh, Cheng-Yi Chen, Che-Wei Hsu, Yih-Jyh Lin, Min-En Hsieh, Matthew M. Yeh, Chin-Chun Chen, Meng-Ru Shen, Pau-Choo Chung

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Advanced bearing fault detection at varying rotational speeds using PSO-optimized SVM and CDET feature selection by Hongxu Chai, Xiaoshi Ma, Feng Zhu, Yandong Hu

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Advances in Automated Voice Pathology Detection: A Comprehensive Review of Speech Signal Analysis Techniques by Anitha Sankaran, Lakshmi Sutha Kumar

“…An in-depth review of the pre-processing steps for a speech signal, the features that parameterize the speech, and the feature extraction process is presented. …”
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An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features by Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau

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Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection by İsmail Baydili, Burak Tasci, Gülay Tasci

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Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…An important aspect of visual saliency detection is how features that form an input image are represented. …”
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