Feature importance analysis for spammer detection in Sina Weibo by Yu-xiang ZHANG, Yu SUN, Jia-hai YANG, Da-lei ZHOU, Xiang-fei MENG, Chun-jing XIAO

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Drowsiness Detection in Drivers Using Facial Feature Analysis by Ebenezer Essel, Fred Lacy, Fatema Albalooshi, Wael Elmedany, Yasser Ismail

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Robust Image Forgery Detection Using Point Feature Analysis by Youssef William, Sherine Safwat, Mohammed Abdel-Megeed Salem

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Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection by Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev, Alexander Krassovitskiy, Bagashar Zhumazhanov

“…This study examines how ten different audio features, including MFCC, mel-spectrogram, chroma, and spectral contrast etc., influence speaker change detection (SCD) performance. …”
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Application of deconvolutional networks for feature interpretability in epilepsy detection by Sihao Shao, Yu Zhou, Ruiheng Wu, Aiping Yang, Qiang Li

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Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

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Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

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A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain by Parnika Bhat, Kamlesh Dutta

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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

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Comparative Analysis of Feature Selection Methods with XGBoost for Malware Detection on the Drebin Dataset by Ines Aulia Latifah, Fauzi Adi Rafrastara, Jevan Bintoro, Wildanil Ghozi, Waleed Mahgoub Osman

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Method of detecting IRC Botnet based on the multi-features of traffic flow by Jian-en YAN, Chun-yang YUAN, Hai-yan XU, Zhao-xin ZHANG

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Farsi License Plate Detection and Recognition Based on Characters Features by Sedigheh Ghofrani, Mehran Rasouli

“…The region elements analysis includes binarization, character analysis, character continuity analysis and character parallelism analysis. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…To extract features strongly correlated with epileptic classification detection, an improved particle swarm optimization (PSO) algorithm and Pearson correlation analysis are combined. …”
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Glaucoma Detection and Feature Identification via GPT-4V Fundus Image Analysis by Jalil Jalili, PhD, Anuwat Jiravarnsirikul, MD, Christopher Bowd, PhD, Benton Chuter, MD, Akram Belghith, PhD, Michael H. Goldbaum, MD, Sally L. Baxter, MD, Robert N. Weinreb, MD, Linda M. Zangwill, PhD, Mark Christopher, PhD

“…Conclusions: GPT-4V shows promise as a tool in glaucoma screening and detection through fundus image analysis, demonstrating generally high agreement with expert evaluations of key diagnostic features, although agreement did vary substantially across datasets. …”
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Analysis and Selection Method for Radar Echo Features in Challenging Scenarios by Yunlong Dong, Xiao Luo, Hao Ding, Ningbo Liu, Zheng Cao

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Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning by Wafaa Al-Kahla, Eyad Taqieddin, Ahmed S. Shatnawi, Rami Al-Ouran

“…Then, we use Simhash to encode the selected parts of the analysis files to create feature vectors. These vectors are then used to train different Machine Learning algorithms for detecting and classifying malware. …”
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Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions by Ankita Dey, Ebrahim Ali, Sreeraman Rajan

“…A novel threshold-based non-machine learning asymmetry analysis using textural features is proposed for breast abnormality detection. …”
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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

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Internet bad information detection based on Bert model by Xin CAI

“…In view of the business scenario of bad information detection on the internet,the method of detection based on the text content of the website was discussed .Classical text analysis techniques were reviewed.The key technical features and two different usages of Bert model were introduced.The specific implementation scheme of using the feature extraction method to detect website bad information was described in detail,and was compared with the traditional TF-IDF model and word2vec+LSTM model.The validity of this method is verified.…”
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The Design and Data Analysis of an Underwater Seismic Wave System by Dawei Xiao, Qin Zhu, Jingzhuo Zhang, Taotao Xie, Qing Ji

“…An improved ALE-LOFAR (Adaptive Line Enhancer–Low-Frequency Analysis) joint framework, combined with DEMON (Demodulation of Envelope Modulation) demodulation technology, was proposed to conduct the spectral feature analysis of ship seismic wave signals, yielding the low-frequency signal characteristics of vessels. …”
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