Blogue
Scalable Permutation-Aware Modeling for Temporal Set Prediction
Temporal set prediction involves forecasting the elements that will appear in the next set, given a sequence of prior sets, each containing a variable number of elements. Existing methods often rely on intricate architectures with substantial computational overhead, which hampers their scalability....
Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints
This study focuses on the development of reinforcement learning based techniques for the design of microelectronic components under multiphysics constraints. While traditional design approaches based on global optimization approaches are effective when dealing with a small number of design parameters, as the...
Broadband Kinetic-Inductance Parametric Amplifiers with Impedance Engineering
Broadband quantum-limited parametric amplifiers (PAs) are essential components in quantum information science and technology. Impedance-engineered resonator-based PAs and traveling-wave PAs are the primary approaches to overcome the gain-bandwidth constraint. While the former PAs are simpler to fabricate, the target characteristic impedance Z_\text{NR}...
Utilizing Dynamic Time Warping for Pandemic Surveillance: Understanding the Relationship between Google Trends Network Metrics and COVID-19 Incidences
The premise of network statistics derived from Google Trends data to foresee COVID-19 disease progression is gaining momentum in infodemiology. This approach was applied in Metro Manila, National Capital Region, Philippines. Through dynamic time warping (DTW), the temporal alignment was quantified between...
DashGuide: Authoring Interactive Dashboard Tours for Guiding Dashboard Users
Dashboard guidance helps dashboard users better navigate interactive features, understand the underlying data, and assess insights they can potentially extract from dashboards. Cependant, authoring dashboard guidance is a time consuming task, and embedding guidance into dashboards for effective delivery is difficult to...
Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control
Stochastic Optimal Control (SOC) problems arise in systems influenced by uncertainty, such as autonomous robots or financial models. Traditional methods like dynamic programming are often intractable for high-dimensional, nonlinear systems due to the curse of dimensionality. This dissertation explores the path integral...
A Comprehensive Review on RNA Subcellular Localization Prediction
The subcellular localization of RNAs, including long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs), microRNAs (miRNAs) and other smaller RNAs, plays a critical role in determining their biological functions. Par exemple, lncRNAs are predominantly associated with chromatin and act as regulators of gene...
PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition
Electroencephalography (EEG) signals provide a promising and involuntary reflection of brain activity related to emotional states, offering significant advantages over behavioral cues like facial expressions. Cependant, EEG signals are often noisy, affected by artifacts, and vary across individuals, complicating emotion recognition. Alors que...
The critical power of short pulse initial data on the global existence or blowup of smooth solutions to 3-D semilinear Klein-Gordon equations
It is well-known that there are global small data smooth solutions for the 3-D semilinear Klein-Gordon equations $\square u + u = F(toi,{\partial u})$ with cubic nonlinearities. Cependant, for the short pulse initial data $(toi, \partial_tu)(0, x)=({\delta^{\nu+1}}{u_0}({\fracturation{x}{\delta}}),{\delta^\nu }{u_1}({\fracturation{x}{\delta}}))$ with $\nu\in\Bbb R$ and...
Augmenting Captions with Emotional Cues: An AR Interface for Real-Time Accessible Communication
This paper introduces an augmented reality (RA) captioning framework designed to support Deaf and Hard of Hearing (DHH) learners in STEM classrooms by integrating non-verbal emotional cues into live transcriptions. Unlike conventional captioning systems that offer only plain text, our system fuses...