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Algorithms to reconstruct past indels: The deletion-only parsimony problem.
Published 2025-07-01“…Second, we show that all possible optimal reconstructions for a fixed node can be represented using a graph computable in polynomial time. While previous studies have proposed graph-based representations of ancestral reconstructions, this result is the first to offer a solid mathematical justification for this approach. …”
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Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epile...
Published 2024-04-01“…Numerous physiological processes are cyclical, but sampling these processes densely enough to perform frequency decomposition and subsequent analyses can be challenging. Mathematical approaches for decomposition and reconstruction of sparsely and irregularly sampled signals are well established but have been under-utilized in physiological applications. …”
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A variational deep-learning approach to modeling memory T cell dynamics.
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Machine learning approaches for imputing missing meteorological data in Senegal
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CUR matrix approximation through convex optimization for feature selection
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A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks
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Second order algorithm with convergence analysis for viscoelastic flow model
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Evaluating Network Performance in a Web-Based Augmented Reality System for Lipmatte Color Recommendation
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A robust study upon fuzzy fractional 2D heat equation via semi-analytical technique
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Nonlinear prediction model of vehicle network traffic management based on the internet of things
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Competing ParA structures space bacterial plasmids equally over the nucleoid.
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DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination
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Characterization of p-valent q-starlike functions through Hadamard product and Poisson distribution
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