Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection. by Ekramul Haque Tusher, Mohd Arfian Ismail, Abdullah Akib, Lubna A Gabralla, Ashraf Osman Ibrahim, Hafizan Mat Som, Muhammad Akmal Remli

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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…In this paper, a novel and robust deep spatio-textural acoustic feature ensemble-assisted learning environment is proposed for violence detection in surveillance videos (DestaVNet). …”
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Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

“…We engineer the technical features of gameplay through video analysis and introduce a behavioral analysis method using a multi-layer learning architecture. …”
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Advanced Feature Analysis of Eddy Current Testing Signals for Rail Surface Defect Characterization by Michele Quercio, Luca Santoro, Raffaella Sesana, Francesco Riganti Fulginei

“…This paper expands on previous analyses by combining classical time-frequency methods (short-time Fourier transform and continuous wavelet transform) and estimation of fractal dimensions with advanced feature extraction approaches, including wavelet sub-band decomposition, Hilbert–Huang transform, peak analysis and entropy metrics. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…The proposed method constitutes a significant advancement in the field, providing a robust solution to the intricacies of microbiome data analysis and amplifying the potential of DL methods in disease detection.…”
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Epidemiological features of influenza circulation in swine populations: A systematic review and meta-analysis. by Eugénie Baudon, Marisa Peyre, Malik Peiris, Benjamin John Cowling

“…The objectives of this systematic review and meta-analysis were to describe epidemiological features of swine influenza (SI) across the world and identify factors impacting swine influenza virus surveillance.…”
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Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features by Sean F. Johnson, Seyed Mohammad Hossein Tabatabaei, Grace Hyun J. Kim, Bianca E. Villegas, Matthew Brown, Scott Genshaft, Robert D. Suh, Igor Barjaktarevic, William Dean Wallace, Fereidoun Abtin

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An End-to-End Framework for Neonatal Asphyxia Detection Through Video Analysis by Kurnianingsih, Sou Nobukawa, Melyana Nurul Widyawati, Cipta Pramana, Nurseno Bayu Aji, Afandi Nur Aziz Thohari, Dwiana Hendrawati, Eri Sato-Shimokawara, Naoyuki Kubota

“…First, the proposed framework integrates YOLOv8-based instance segmentation with advanced feature extraction across multiple color spaces and texture analysis to detect neonatal asphyxia through the multi-modal analysis of skin features in video streams. …”
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Long short‐term memory on abstract syntax tree for SQL injection detection by Z. Zhuo, T. Cai, X. Zhang, F. Lv

“…However, major bottlenecks still remain in detecting SQLIA with bypassing techniques, getting access to source code and requiring an additional manual operation to extract features. …”
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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

“…This study presents a novel approach for detecting and classifying six types of cognitive impairment using speech-based analysis, including probable AD, possible AD, mild cognitive impairment (MCI), memory impairments, vascular dementia, and control. …”
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Clinico¬pathological features and phylogenetic analysis of rabies infection in local Iraqi breed cattle by M. H. Hussain, Kh. A. Mansour, S. A. A. Al-Redah, A. J. Abid

Mosaic tetrasomy 9p detected by CNV-seq but missed by traditional karyotyping in a prenatal case without dysmorphic features by Xingkun Yang, Yasi Zhou, Xiaodan Zhu, Tingting Xiao, Miaoling Ou, Linghua Zhang, Xiang Huang, Xiaoling Guo, Chao Li

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DETECTING POST!PRODUCTION TAMPERING ARTIFACTS IN VIDEO AND AUDIO RECORDINGS ON FAT16 AND FAT32 FORMATTED STORAGE DEVICES (METHODOLOGY RECOMMENDATIONS FOR FORENSIC PRACTITIONERS) by A. G. Boyarov

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Optical Interference Analysis of ZIF-8 Films for Chemical Vapor Detection by Anna Estany-Macià, Sachin Navale, Ignasi Fort-Grandas, Nirav Joshi, Albert Romano-Rodríguez, Mauricio Moreno-Sereno

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High-speed encrypted traffic classification by using payload features by Xinge Yan, Liukun He, Yifan Xu, Jiuxin Cao, Liangmin Wang, Guyang Xie

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Early Detection of Parkinson’s Disease Using AI Techniques and Image Analysis by Marilena Ianculescu, Corina Petean, Virginia Sandulescu, Adriana Alexandru, Ana-Mihaela Vasilevschi

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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

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In Situ Active Contour-Based Segmentation and Dimensional Analysis of Part Features in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas

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Analysis of MSTAR Object Classification Features Extracted by a Deep Convolutional Neural Network by I. F. Kupryashkin

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Adverse drug reaction signal detection via the long short-term memory model by Mengqi Cao, Yanna Chi, Jinyang Yu, Yu Yang, Ruogu Meng, Jinzhu Jia, Jinzhu Jia

“…Several important variables “Reasons for taking medication”, “Serious ADR scenario 4”, “Adverse reaction analysis 5”, and “Dosage” had an important influence on the result.ConclusionThe application of deep learning models shows potential to improve the detection performance in ADR monitoring.…”
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