Advanced Anomaly Detection in Smart Grids Using Graph Convolutional Networks With Integrated Node and Line Sensor Data by Mahdi Zarif, Ramin Moghaddass

“…However, the presence of complex topology changes, penetration of renewable energy resources, stochastic propagation of anomalies in the network, and missing data require the use of new approaches that are sensitive to these issues. …”
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Towards Autonomous Operation of UAVs Using Data-Driven Target Tracking and Dynamic, Distributed Path Planning Methods by Jae-Young Choi, Rachit Prasad, Seongim Choi

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Use of n-grams and K-means clustering to classify data from free text bone marrow reports by Richard F. Xiang

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Unveiling spatial domains from spatial multi-omics data using dual-graph regularized ensemble learning by Ying Li, Guangchang Cai, Fuqun Chen, Kepei Wen, Le Ou-Yang

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Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks by Mariana Teixeira, José Manuel Oliveira, Patrícia Ramos

“…As competition intensifies, the use of promotions has become a widespread strategy, significantly impacting consumer purchasing behavior. …”
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Associations between exposure to heavy metal and sarcopenia prevalence: a cross-sectional study using NHANES data by Yingying Zhang, Qianbing Li, Xiangfei Wang

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Blockchain Enabled Secure Medical Data Transmission and Diagnosis Using Golden Jackal Optimization Algorithm with Deep Learning by Kiruthikadevi Kulandaivelu, Sivaraj Rajappan, Vijayakumar Murugasamy

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A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data by Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Jamil Zaghir, Hugues Turbe, Lydie Bednarczyk, Christophe Gaudet-Blavignac, Julien Ehrsam, Stéphane Marchand-Maillet, Christian Lovis

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Method for Determining Igneous Rock Mineral Content Using Element Logging Data Based on Variational AutoEncoder by JIA Ruilong, PAN Baozhi, WANG Qinghui, LI Yan, GUAN Yao, WANG Xinru

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Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation. by Santiago Rosa, Manuel A Pulido, Juan J Ruiz, Tadeo J Cocucci

“…This transmission matrix is estimated using an ensemble-based data assimilation system applied to a meta-population model and time series data of age-dependent accumulated cases and deaths. …”
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Meta-Analysis of Wild Relatives and Domesticated Species of Rice, Tomato, and Soybean Using Publicly Available Transcriptome Data by Makoto Yumiya, Hidemasa Bono

“…We performed a meta-analysis of public gene expression data of domesticated species of rice, tomato, and soybean and their presumed ancestral species using 21 pairs for rice, 36 pairs for tomato, and 56 pairs for soybean. …”
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Developing an ensemble machine learning framework for enhanced climate projections using CMIP6 data in the Middle East by Younes Khosravi, Taha B.M.J. Ouarda, Saeid Homayouni

“…This study introduces the Stacking-EML framework, which merges five machine learning models three meta-learners to predict maximum temperature, minimum temperature, and precipitation using CMIP6 data under SSP1-2.6, SSP2-4.5, and SSP5-8.5. …”
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IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

“…Ovarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. …”
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Digitalization’s Role in Shaping Sustainable Agriculture—Evidence from Chinese Provincial Panel Data Using the Baidu Index by Qirui Zhang, Xinhui Feng, Wangfang Xu, Longbao Wei

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Analysis of Development Patterns of Built Land and Spatial Structure in Bandung City Using Landsat 8 Image Data by Mukhoriyah Mukhoriyah, Samsul Arifin, Esthi Kurnia Dewi, Silvia Silvia

“…This study aims to analyze the development pattern of built land and the spatial structure of Bandung City. The data used are the 2015-2020 Landsat 8 time series imagery, the 2019 SPOT-6 imagery, and the administrative boundary map. …”
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Multimodal Deep Learning Model for Cylindrical Grasp Prediction Using Surface Electromyography and Contextual Data During Reaching by Raquel Lázaro, Margarita Vergara, Antonio Morales, Ramón A. Mollineda

“…Combining EMG and product context yielded better results than using each data mode separately, confirming the importance of product context in improving EMG-based models of grasping.…”
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Estimating Subsurface Geostatistical Properties from GPR Reflection Data Using a Supervised Deep Learning Approach by Yu Liu, James Irving, Klaus Holliger

“…The estimation of subsurface geostatistical parameters from surface-based common-offset GPR reflection data has so far relied upon a Monte-Carlo-type inversion approach. …”
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Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data by Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem

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The current research status on building prediction models for rectal cancer based on imaging data using artificial intelligence by Zhang Tianshuai, Peng Zhiying, Jia Hang, Wen Rongbo, Zhou Leqi, Shen Fu, Yu Guanyu, Zhang Wei

“…［Abstract］ The advancement of artificial intelligence (AI) has opened new avenues for the clinical application of imaging data. …”
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Cluster Analysis of Comparative Genomic Hybridization (CGH) Data Using Self-Organizing Maps: Application to Prostate Carcinomas by Torsten Mattfeldt, Hubertus Wolter, Ralf Kemmerling, Hans‐Werner Gottfried, Hans A. Kestler

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