Prodromal Parkinsonian Features in Carriers of Gaucher Disease Compared to Controls by Michal Becker-Cohen, Ari Zimran, Tama Dinur, Maayan Tiomkin, Arndt Rolfs, David Arkadir, Peter Bauer, Elena Shulman, Gilad Yahalom, Mikhal E. Cohen, Orly Manor, Ora Paltiel, Shoshana Revel-Vilk

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Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems by Saud S. Alotaibi, Turki Ali Alghamdi

“…This study presents a League Championship Algorithm Feature Selection with Optimal Deep Learning based Cyberattack Detection (CLAFS-ODLCD) technique for securing the digital ecosystem. …”
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A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques by Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood

“…To enhance model performance, four feature selection techniques were applied: Principal Component Analysis (PCA), Recursive Feature Elimination (RFE), Least Absolute Shrinkage and Selection Operator (LASSO), and ANOVA. …”
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Traffic Scene Analysis using Hierarchical Sparse Topical Coding by P. Ahmadi, I. Gholampour, M. Tabandeh

“…Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. …”
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An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species by Vincenzo Caro Fuentes, Danny Luarte, Ariel Torres, Jorge E. Pezoa, Sebastian E. Godoy, Sergio N. Torres, Mauricio A. Urbina

“…In this study, we designed an automated classification method, inspired by human taxonomic principles, to distinguish visually similar species of pelagic fish in images through the integration of morphological feature analysis with a hierarchical classification technique. …”
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Features of accumulation of inorganic elements in seeds of white mustard (Sinapis alba L.) and black mustard (Brassica nigra L.) by О. І. Рудник-Іващенко, Л. М. Михальська, В. В. Швартау

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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…A two-level support vector machine model was trained to calculate the probabilities of sliding windows by using gradient and gray distribution features of pigs. The principal component analysis convolution kernels were trained to extract foreground and background features of pig images. …”
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Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model by Naila Aslam, Furqan Rustam, Ernesto Lee, Patrick Bernard Washington, Imran Ashraf

“…In this regard, this study performs both sentiment analysis and emotion detection using the tweets related to the cryptocurrency which are widely used for predicting the market prices of cryptocurrency. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…For feature engineering, two jobs were performed: feature representations and feature analysis and selection. …”
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YLOMF: You Look Once for Multi-Feature—A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving by B. N. Anoop, S. K. Abhilash, Venu Madhav Nookala, S. Prita, S. Raghavendra

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A Transformer-Based Multiscale Difference Enhancement Network for Change Detection by Mengyang Pan, Hang Yang, Chengkang Yu, Mingqing Li, Anping Deng

“…Despite the progress made by convolutional neural networks and Transformer architectures in visual analysis, challenges remain in achieving robust feature representation and global contextual understanding. …”
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Machine learning for brain tumor classification: evaluating feature extraction and algorithm efficiency by Krishan Kumar, Kiran Jyoti, Krishan Kumar

“…The objective of this study is to identify best combination of machine learning and features extraction method for brain tumor detection and classification. …”
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MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature by Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar

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Comprehensive analysis of noise in Macau Science Satellite-1 vector magnetometer data by SiShan Song, Fan Yin, Qin Yan, Hermann Lühr, Chao Xiong, Yi Jiang, PengFei Liu

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Clinical and electrophysiological features of pure sensory Guillain-Barré syndrome: retrospective analysis of 22 patients across 14 provinces in Southern China by Songyan Liu, Hong Chu, Bin Peng, Yanping Zeng, Jia Liu, Zuneng Lu, Chao Weng

“…This study aims to explore the epidemiological and clinical features of GBS patients experiencing only paresthesia in southern China. …”
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A robust deep learning approach for glasses detection in non‐standard facial images by Saddam Bekhet, Hussein Alahmer

“…Abstract Automated glasses detection is a cardinal component in facial/ocular analysis that powers forensic, surveillance and biometric authentication systems. …”
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Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images by Karthikeyan Shanmugam, Harikumar Rajaguru

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A PEDESTRIAN STEP COUNTING PARAMETER DETECTION METHOD AIDED WITH ANGULAR VELOCITY INFORMAITON by WANG Ping, ZHANG GuangPeng, ZHANG YanShun, HUANG ShuFeng, YAO Juan

“…To compensate this error,a pedestrian step detection method aided with angular velocity is proposed based on the analysis on body waist motion feature. …”
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The Problem of Detecting Incitement in Extremist Content (Using Examples from the Internet) by T. V. Berdnikova

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Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…From these images, 198 multispectral indices are computed for analysis, which are combined with 12 primary spectral bands. …”
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