Influence of cognitive networks and task performance on fMRI-based state classification using DNN models by Murat Kucukosmanoglu, Javier O. Garcia, Justin Brooks, Kanika Bansal

“…Despite the architectural differences, both models demonstrated a robust relationship between prediction accuracy and individual cognitive performance (p < 0.05 for 1D-CNN, and p < 0.001 for BiLSTM), with lower classification accuracy observed in individuals with poorer task performance. …”
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Data on battery health and performance: Analysing Samsung INR21700-50E cells with advanced feature engineering by Sahar Qaadan, Aiman Alshare, Alexander Popp, Myrel Tiemann, Utz Spaeth, Benedikt Schmuelling

“…These features are indispensable for predictive modelling, lifecycle management, and battery performance optimization, addressing key challenges in battery technology. …”
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FEATURES OF filtering USING COORDINATEd turn models by A. S. Solonar, P. A. Khmarski, A. A. Mikhalkovski

“…The features Extended Kalman filter using coordinated turn models are considered. …”
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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features by A. Robert Singh, Suganya Athisayamani, Faten Khalid Karim, Ahmed Zohair Ibrahim, Sameer Alshetewi, Samih M. Mostafa

“…The design of these groups ensures that the model can utilize both local features for fine details and global features for larger context, leading to more accurate denoising. …”
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A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

“…Prior studies have highlighted the potential of semi-supervised approaches that incorporate feature selection to identify factors influencing academic success, particularly for improving model interpretability and predictive performance. …”
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Odor classification: Exploring feature performance and imbalanced data learning techniques. by Durgesh Ameta, Surendra Kumar, Rishav Mishra, Laxmidhar Behera, Aniruddha Chakraborty, Tushar Sandhan

“…The second objective is to address an inherent challenge in odor classification multi-label datasets (MLD)-the issue of class imbalance by random resampling techniques and an explainable, cost-sensitive multilayer perceptron model (CSMLP). Experimental results suggest significantly better performance of the molecular fingerprint-based features compared with mass and vibrational spectra with the micro-averaged F1 evaluation metric. …”
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Performance Evaluation of Artificial Neural Network Methods Based on Block Machine Learning Classification by Raya Hamdy, Mohammed Younis

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Thermal performance of a hybrid nanofluid flow through a stretchable stationary disk featuring the Cattaneo-Christov heat flux theory by Abdul Hafeez, Dong Liu, Asma Khalid, Yongchao Zhang, Sun Sheng Yang

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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…The results show clearly that the proposed models when using DT or using FCA, needed fewer features than the other methods for similar classification performance.…”
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Application of BERT-GCN Model Based on Strong Link Relation Graph in Water Use Enterprise Classification by Junhong Xiang, Baoxian Zheng, Chenkai Cai, Shuiping Yao, Shang Gao

“…Then the web crawler was utilized to collect the main business data of the enterprise as additional information, and the semantic features were extracted from the supplementary information by the pre-trained language model BERT. …”
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ENHANCING NETWORK INTRUSION DETECTION USING MACHINE LEARNING AND META-MODELLING FOR IMPROVED CYBER SECURITY PERFORMANCE by Sunita, Pankaj Verma, Nitika, Jaspreet Kaur, Vijay Rana

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Port Terminal Performance Evaluation and Modeling by Giscard Valonne Mouafo Nebot, Haiyan Wang

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Research of the Cooling Performance of Wind Generator  under Radial Multiple Structure Features by DING Shu-ye, XIA Lei, LIU Jian-feng, WANG Yue, LIU Ye

“…In order to improve cooling effects of permanent magnet wind generator and reduce the operation temperature, a 3 MW permanent magnet wind generator was taken as an example, physical model of three dimensional stator and rotor fluid solid coupled was established on the basis of the basic assumptions considering ventilation characteristics and structure feature of generator, and the solution conditions was given.According to hydromechanics and heat transfer theory, temperature field and fluid field was calculated numerically using finite volume method.At the same time, some structures were proposed in view of radial ventilation ducts, and the fluid flow performance and main components temperature of different schemes were analyzed.The results indicate that, by reducing the axial size of the radial ventilation duct can effectively improve the cooling performance of the motor.The maximum temperature rise in solution was 6.04K lower than the original one when adopt schemeⅢ.…”
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Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

“…Furthermore, this reduction is achieved while maintaining competitive model performance, demonstrating that the selected features remain effective for the learning task. …”
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Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance by Tao Lian, Chunyan Deng, Qianjin Feng

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Features of the bridge span performance when shifting the axis of the rail-sleeper grid by V. V. Korolev, A. A. Loktev, I. V. Shishkina, E. A. Gridasova

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BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification by Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, André C.P.L.F. de Carvalho

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Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle Applications by Ehsan Ghasemi, Seyyed Mohammad Razavi, Sajad Mohamadzadeh

“…Secondly, the Local Binary Patterns (LBP) feature descriptor is utilized to extract features from the identified eye, nose, and mouth regions. …”
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Multi-Feature Fusion-Based Speech Disorder Classification Using MobileNetV3-EfficientNetB7, Linformer-Performer, and SHAP-Aware XGBoost by Abdul Rahaman Wahab Sait, Suresh Sankaranarayanan, P. Gouthaman

“…Hybrid MobileNet V3-EfficientNet B7and Linformer-Performer are employed to extract diverse features from the Mel-Spectrograms. …”
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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

“…This paper presents a multi-tiered feature selection model, which can discover relevant and significant features for improving the accuracy of malware detection approaches. …”
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