Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks by Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Vaishali H. Kamble

“…To address these issues, we propose the Ensemble of Deep Learning Models with Prediction Scoring-based Optimized Feature Sets (EDLM-PSOFS). Our approach begins with data preprocessing utilizing MissForest imputation and label one-hot encoding, effectively managing incomplete and categorical data.For feature selection, we employ the Median-based Shapiro-Wilk test alongside Correlation-Adaptive LASSO Regression (CALR) to ensure robust feature extraction. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…Particular features are selected by employing the Cuckoo Search based Particle Swarm Optimization (CS-PSO) technique that also reduces the feature dimensionality. …”
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Hybrid feature selection for real-time road surface classification on low-end hardware: A machine learning approach by Cong Ngo Van, Duc-Nghia Tran, Ton That Long, Nguyen Gia Minh Thao, Duc-Tan Tran

“…This paper proposed a hybrid filter-wrapper algorithm for feature selection based on an index of important features used in the pavement classification task; it takes advantage of two pure methods: the fast speed of the filter and the efficiency of the wrapper method. …”
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Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers by Merouane Boudraa, Akram Bennour, Mouaaz Nahas, Rashiq Rafiq Marie, Mohammed Al-Sarem

“…Leveraging vision transformer models, our methodology effectively learns complex patterns and features from extracted patches, enabling precise identification of writers across historical manuscripts. …”
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An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection by Gholamreza Memarzadeh, Faezeh Amirteimoury, Hossein Noori, Farshid Keynia

“…This multi-step process begins with the wavelet transform, which decomposes the load data into distinct frequency components, allowing for a detailed analysis of underlying patterns. Then, MI-IG was employed for feature selection, ensuring that only the most informative and relevant variables are included in the forecasting model. …”
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DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG by Jing Wu, Nan Zhang, Qilei Ye, Xiaorui Zheng, Minmin Shao, Xian Chen, Hui Huang

“…This enables the model to capture neural activity patterns related to addiction mechanisms. DSCnet uses a multi-angle feature extraction strategy, emphasizing information from various perspectives.ResultsOn the drug addiction dataset, DSCnet achieved 85.11% accuracy, 85.13% precision, 85.12% recall, and 85.12% F1-score. …”
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Enhanced air quality prediction using adaptive residual Bi-LSTM with pyramid dilation and optimal weighted feature selection by R. Sudha, Ajith Damodaran, Gunaselvi Manohar

“…After extracting the weighted features, classification is carried out using an Adaptive Residual Bi-LSTM network combined with Pyramid Dilation (ARBi-LSTM-PD), which significantly increase the model’s potential to identify complex patterns within the data. …”
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Sleep Stage Classification Using Variational Mode Decomposition and Wrapper-Based Feature Selection From the Single Channel EEG by Vipin Prakash Yadav, M. A. Aswathy, Sahebgoud Hanamantray Karaddi, Sana Pavankumar Reddy, G. Pradeep Reddy, Aman Kumar

“…Furthermore, the optimum feature subset was selected using the Wrapper-Based Feature Selector (WBFS). …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…The RL component actively refines feature selection through continuous data interaction, ensuring the model captures the most significant features and effectively mitigates the risk of overfitting. …”
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Stereo Matching Network with Transformer-CNN Feature Fusion and ConvGRU Refinement for High-resolution Satellite Stereo Images by M. Yang, S. Jiang, W. Jiang, Q. Li

“…First, in the feature extraction stage, we use two independent Transformer and CNN modules to extract global and local features of stereo image pairs. …”
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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…Furthermore, the proposed framework includes a federated learning-based scheme that utilizes differential privacy and homomorphic encryption to ensure the privacy and integrity of the data to enhance model interpretability and efficiency with feature ranking to provide insights into attack patterns and anomaly characteristics. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Machine learning (ML) and deep learning (DL) have aided the classification and collection of patterns in data, foremost in the growth of AI methods employed in numerous haematology fields. …”
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

“…Digital image fakes mean adding infrequent patterns to the unique images, which causes a heterogeneous method in image properties. …”
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An Altered Pattern of Myocardial Histopathological and Molecular Changes Underlies the Different Characteristics of Type-1 and Type-2 Diabetic Cardiac Dysfunction by Tamás Radovits, Sevil Korkmaz, Csaba Mátyás, Attila Oláh, Balázs Tamás Németh, Szabolcs Páli, Kristóf Hirschberg, Alina Zubarevich, Patricia Neh Gwanmesia, Shiliang Li, Sivakkanan Loganathan, Enikő Barnucz, Béla Merkely, Gábor Szabó

“…We compared type-1 and type-2 diabetic cardiomyopathy in standard rat models and described an altered pattern of key pathophysiological features in the diabetic heart and corresponding functional consequences.…”
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Hamming Diversification Index: A New Clustering-Based Metric to Understand and Visualize Time Evolution of Patterns in Multi-Dimensional Datasets by Sarthak Pattnaik, Eugene Pinsky

“…One of the most challenging problems in data analysis is visualizing patterns and extracting insights from multi-dimensional datasets that vary over time. …”
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Genome-wide identification of GATA family genes in sweet potato (Ipomoea batatas L.) and their expression patterns under abiotic stress by Chong Wang, Mengjiao Lan, Manqiu Xiao, Ying Peng, Ying Peng, Hao Pan, Jiaqi Deng, Wensheng Wu

“…Overall, this experiment conducted a systematic exploration of GATA genes by investigating their evolutionary relationships, structural characteristics, functional properties, and expression patterns, thereby establishing a theoretical foundation for further in-depth research on the features of the GATA gene family.…”
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Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma by Zhichao Zuo, Jinqiu Deng, Wu Ge, Yinjun Zhou, Haibo Liu, Wei Zhang, Ying Zeng

“…Both intratumoral ecological diversity features (hereafter referred to as ITH) and conventional radiomics (hereafter referred to as C-radiomics) were extracted to generate ITH scores and C-radiomics scores. …”
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Unveiling the mineral resources and structural patterns in the Middle Benue Trough: a comprehensive exploration using airborne magnetic and radiometric data by Stephen E. Ekwok, Anthony M. George, Asuquo A. Omori, Kamal Abdelrahman, Samuel I. Ugar, Peter Andráš, Morod I. Morphy, Anthony E. Akpan, Ahmed M. Eldosouky

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Patterns of identity: Lip prints, tongue prints and mandibular canine width as markers for gender determination—A cross-sectional study by Priyanka Rana, Dirasantchu Suresh, M. Chandra Sekhar, Y Mercy Sravanthi, Karan Hiral Mehta

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Fluorescence sensor array for highly sensitive pattern recognition of biothiols in food based on tricolor upconversion luminescence metal-organic frameworks by Mingyuan Yin, Dongfang Qiu, Meiqi Wang, Zedan Wang, Lirong Han, Linsen Li, Jie Tong, Hailiang Nie, Yun Wu, Xiaoqiang Qiao

“…Herein, an upconversion fluorescence sensor array based on LMOFs featuring UiO-type metal-organic frameworks-functionalized lanthanide-doped upconversion nanoparticles was proposed, wherein Cu2+ can make the fluorescence quenching of LMOFs and preferentially bind biothiols to recover fluorescence in different degrees forming unique fingerprinting. …”
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