CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

“…Our analysis offers a comprehensive and extensive characterization of CAN network traffic, examining specifically inter-frame arrival times and patterns in data bytes. We proceeded to test these features by designing a simple anomaly-based IDS that employs a multiclass Decision Tree classifier. …”
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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
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A Review on Transformer-Based Methods for Human Activity Recognition by Fatemeh Sadat Lasani, Ronak Fatahi

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Unsupervised learning of temporal features for word categorization in a spiking neural network model of the auditory brain. by Irina Higgins, Simon Stringer, Jan Schnupp

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Ecological Security Patterns Based on Ecosystem Service Assessment and Circuit Theory: A Case Study of Liaoning Province, China by Bingyi Wang, Yufei Zhang, Hanlong Gu, Zhenxing Bian

“…Constructing ecological security patterns (ESPs) has become a crucial strategy for mitigating environmental stress and promoting sustainable social development. …”
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Integrative multi-omics analysis and machine learning refine global histone modification features in prostate cancer by XiaoFeng He, QinTao Ge, QinTao Ge, WenYang Zhao, Chao Yu, HuiMing Bai, XiaoTong Wu, Jing Tao, WenHao Xu, WenHao Xu, Yunhua Qiu, Lei Chen, JianFeng Yang

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Uncoupling protein 2 and 4 expression pattern during stem cell differentiation provides new insight into their putative function. by Anne Rupprecht, Dana Sittner, Alina Smorodchenko, Karolina E Hilse, Justus Goyn, Rudolf Moldzio, Andrea E M Seiler, Anja U Bräuer, Elena E Pohl

“…In analyzing our own results and those previously published by others, we have assumed that UCP's cellular expression pattern coincides with a specific cell metabolism and changes if the latter is altered. …”
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Using baseline MRI radiomics to predict the tumor shrinkage patterns in HR-Positive, HER2-Negative Breast Cancer by Lijia Wang, Yongchen Wang, Li Yang, Jialiang Ren, Qian Xu, Yingmin Zhai, Tao Zhou

“…IntroductionThis study aimed to develop and validate a predictive model for tumor shrinkage patterns in hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer patients undergoing neoadjuvant chemotherapy (NAC).MethodsA retrospective analysis was conducted on 227 HR+/HER2- breast cancer patients with a desire for breast conservation, examining their clinicopathological characteristics, traditional MRI features, and radiomics features. …”
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Copying fidelity of functional and non-functional features in ni-Vanuatu children: A transmission chain study by Anne Sibilsky, Heidi Colleran, Dominik Deffner, Daniel B M Haun

“…Further, we also study developmental and cultural variation in the interaction of features and conditions. …”
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Automated lung cancer detection using novel genetic TPOT feature optimization with deep learning techniques by Mohamed Hammad, Mohammed ElAffendi, Muhammad Asim, Ahmed A. Abd El-Latif, Radwa Hashiesh

“…Deep learning, particularly convolutional neural networks (CNNs), offers an automated alternative capable of learning intricate patterns from medical images. However, previous deep learning models for lung cancer detection have faced challenges such as limited data, inadequate feature extraction, interpretability issues, and susceptibility to data variability. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”
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Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network by Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran

“…To address these issues, we developed a grouped second-order spatial features and spectral attention network (GSSAN). …”
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Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network by Tahani Jaser Alahmadi, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali

“…Despite the potential of CT scans in visualizing breast tissue in 3D with high resolution, extracting meaningful patterns from these scans is difficult due to the complex and nonlinear nature of the tissue features. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…Conversely, CNN-based features are automatically acquired representations that identify complex patterns in nuclei images. …”
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THE MUTIFACTORIAL PATTERN OF OSTEOPOROSIS: A REVIEW OF THE RESEARCHES OF THE DEPARTMENT OF THERAPY, INSTITUTE OF POSTGRADUATE EDUCATION, YAROSLAVL STATE MEDICAL UNIVERSITY by O. B. Ershova, K. Yu. Belova, Yu. V. Barysheva, O. A. Ganert, V. V. Kalugina, A. V. Nazarova, I. V. Novikova, M. A. Romanova, O. S. Sinitsyna

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Detecting Serbia’s Settlement Patterns: A Fuzzy Logic-Based Approach to Rural–Urban Area Delimitation for Spatial Planning by Aleksandra Gajić Protić, Nikola Krunić, Branko Protić

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Common neural patterns of substance use disorder: a seed-based resting-state functional connectivity meta-analysis by Xiaonan Zhang, Haoyu Zhang, Yingbo Shao, Yang Li, Feifei Zhang, Hui Zhang

“…Identifying common neurobiological patterns in SUD could improve both our understanding of the disorder and the development of treatment strategies. …”
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MAJOR TRENDS IN THE WORLD JUDO SPORT DEVELOPMENT by N. Dimitrova

“…Along with the general patterns and trends, the features of the main leading schools in world judo are also distinguished. …”
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m5C regulator‐mediated methylation modification patterns and tumor microenvironment infiltration characteristics in acute myeloid leukemia by Qiang Wen, ShouJun Wang, Lili Hong, Siyu Shen, Yibo He, Xianfu Sheng, Xiaofen Zhuang, Shiliang Chen, Ying Wang, Haifeng Zhuang

“…Meanwhile, assessing the patterns of m5C modification among individual cancer samples is of great importance, which provides insights into cell infiltration features within TME, thereby helping to develop relevant immunotherapy and predict patient prognostic outcomes.…”
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Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

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