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

“…The proposed framework implements, through machine learning, anomaly detection methods, classification techniques and feature selection methodologies, integrating these approaches to optimize the identification of potential cyber threats, improve model accuracy, and enhance computational efficiency in SCADA systems. …”
Get full text

Modeling of AC Losses in High-speed PMSM Windings: Methods, Challenges, and Prospects by Kaiwei He, Wenxiang Zhao, Zhongze Wu, Jinghua Ji

Get full text

Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation by Amna Faisal, Rafia Mumtaz, Muhammad Deedahwar Mazhar Qureshi, Muhammad Ali Tahir, N. Z. Jhanjhi, Mehedi Masud, Mohammad Shorfuzzaman

“…Despite the promise of modern techniques like Geographic Information Systems (GIS), remote sensing, and spatial modeling for optimizing reforestation success and ecological benefits, their large-scale implementation for selecting suitable land remains limited. …”
Get full text

Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…This review seeks to provide an in-depth examination of current methodologies in speech emotion recognition (SER), with a focus on databases, feature extraction techniques, and classification models. It has been done in the past using low-level descriptors (LLDs) like Mel-Frequency Cepstral Coefficients (MFCCs), linear predictive coding (LPC), and pitch-based features in methods like Support Vector Machines (SVM), Random Forests (RF), and Gaussian Mixture Models (GMM). …”
Get full text

From NeurODEs to AutoencODEs: A mean-field control framework for width-varying neural networks by Cristina Cipriani, Massimo Fornasier, Alessandro Scagliotti

Get full text

Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

“…This research sheds light on which model is more effective in addressing the challenges posed by imbalanced datasets in credit risk assessment. …”
Get full text

Shallow recurrent decoder for reduced order modeling of E × B plasma dynamics by Farbod Faraji, Maryam Reza, J Nathan Kutz

Get full text

Identifying optimized spectral and spatial features of UAV-based RGB and multispectral images to improve potato nitrogen content estimation by Hang Yin, Haibo Yang, Yuncai Hu, Fei Li, Kang Yu

“…Selecting optimal input features for the machine learning (ML) models is crucial in estimating plant nitrogen content (PNC). …”
Get full text

Intelligent ESG portfolio optimization: A multi-objective AI-driven framework for sustainable investments in the Indian stock market by Apurv Gaurav, Kripamay Baishnab, Piyush Kumar Singh

“…It demonstrates on 30 randomly selected ESG-ranked Indian stocks from diverse sets, and simulates a retail portfolio scenario by leveraging advanced machine learning and optimization techniques. In first stage, a Multivariate Bidirectional Long Short-Term Memory (MBi-LSTM) network is utilized to enhance return prediction accuracy, capturing the market’s nonlinear dynamics. …”
Get full text

Digital Empowerment, Novel Productive Forces, and Regional Green Innovation Efficiency: Causal Inference Based on Spatial Difference-in-Differences and Double Machine Learning Appr... by Qi Liu, Siyu Liu, Tianning Guan, Luhan Yu, Zemenghong Bao, Yuzhu Wen, Kun Lv

“…Employing spatial difference-in-differences and double machine learning methodologies within a quasi-natural experimental design, the research investigates the causal mechanisms through which digital empowerment and novel productive forces influence regional green innovation efficiency. …”
Get full text

Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma by Dongjing Zhang, Bingyun Lu, Qianqian Ma, Wen Xu, Qi Zhang, Zhiqi Xiao, Yuanheng Li, Ren Chen, An-jiang Wang

“…In this study, we systematically analyzed the mRNA profiles of ICD-related genes in 1847 HCC patients and identified three molecular subtypes with significantly different immune features and prognostic stratification. A reliable risk model named ICD score was constructed via machine learning algorithms to assess the immunological status, therapeutic responses, and clinical outcomes of individual HCC patients. …”
Get full text

Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Effic... by Shadi Jacob Khoury, Yazeed Zoabi, Mickey Scheinowitz, Noam Shomron

“…This research contributes valuable insights to ongoing efforts in creating interpretable models for COVID-19 management and vaccine optimization strategies. …”
Get full text

Evolution, reconfiguration and low-carbon performance of green space pattern under diverse urban development scenarios: A machine learning-based simulation approach by Yujie Ren, Mengdie Zhou, Antian Zhu, Shucheng Shi, Hao Zhu, Yuzhu Chen, Shanshan Li, Tianhui Fan

“…In this study, we applied machine learning algorithms to model the non-linear relationships and threshold effects between green space evolution and carbon emissions/sequestration at different stages of ecological restoration in the Yangtze River Basin, China. …”
Get full text

Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

Get full text

Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm by Nikolaos Fountas, Angelos Koutsomichalis, John D. Kechagias, Nikolaos M. Vaxevanidis

“…Full quadratic regression models were developed to correlate the machining conditions with the imparted machinability characteristics. …”
Get full text

Influence of Wideband Cable Model for Electric Vehicle Inverter–Motor Connections: A Comparative Analysis by Easir Arafat, Mona Ghassemi

Get full text

Accelerating density of states prediction in Zn-doped MgO nanoparticles via kernel-optimized weighted k-NN by Hasan Kurban, Parichit Sharma, Mehmet M. Dalkilic, Mustafa Kurban

Get full text

Modeling and Analysis of Gyroscope Air-Floating Support Assembly Precision Under Uncertain Process Loads by Yang Yang, Bo Yuan, Xiaokai Mu, Yingjie Zhao, Qingchao Sun

Get full text

Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy by Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen

“…Finally, both support vector machine (SVM) and random forest (RF) discriminant models are built to identify the extracted subset of wavelengths. …”
Get full text

Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…Subsequently, the loss function of the framework is solved by an alternating optimization process where Support Vector Machine (SVM) classifiers are constructed for optimization. …”
Get full text