Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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A Hybrid Method for Optimising Energy Efficiency and CO2 Reduction Using Data-Driven and Physics-Based Scenario Analysis
E Imani, H Dawood, NN Dawood, A Occhipinti
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Prototype Optimization with Neural ODE for Few-Shot Learning
B Zhang, S Feng, B Shan, X Li, Y Ye, YS Ong
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Unsupervised Band Selection for Hyperspectral Image Classification Using Mutual Information Based Clustering
A Dey, S Ghosh, A Ghosh
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Student Academic Performance Prediction using Machine Learning with Various Features and Scenarios
N Santiketa, S Chaikhan, U Ninrutsirikun, N Wattanakitrungroj. Cited by 2
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SafeRoutes: Charting a Secure Path-A Holistic Approach to Women’s Safety through Advanced Clustering and GPS Integration
K Agarwal, A Srivastava, K Sharma, SK Satapathy, SB Cho, S Mishra, et al.
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Reconstructing Optical Imagery from Microwave Data: A Neural Regression-Based Framework
A Dawn, K De Sarkar, A Chatterjee, S Ghosh, S Ghosh
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Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data
SC Nayak, S Dehuri, SB Cho
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Diesel Price Prediction Models with Traditional Time-Series Algorithms and Neural Networks
S Muanchang, P Wepulanon, P Khumprom, A Davila-Frias
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Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance
T Liu, R Yan, I King
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A Novel Feature Selection Method for Regression and its Application for Prediction of Forest Fire
N Jain, S Ghosh, A Ghosh
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Hc-glad: Dual hyperbolic contrastive learning for unsupervised graph-level anomaly detection
Y Fu, J Li, J Liu, Q Xing, Q Wang, I King. Cited by 2
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A parameter free relative density based biclustering method for identifying non-linear feature relations
N Jain, S Ghosh, A Ghosh. Cited by 1