IEEE

Learning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation

Abstract: A point cloud sequence is usually acquired at a low frame rate owing to the limitations from the sensing equipment. Consequently, the immersive experience of the virtual reality might be ...
IEEE

A Comprehensive Analytical Approach to Introspect Efficient Miniaturized Circuit-Level Designs for Biomedical Signal Acquisition: A Tutorial Brief

Abstract: Health care technology is advancing rapidly, transforming diagnostics through compact, non-invasive, and user-friendly biomedical devices. For instance, diabetes diagnosis that once required ...
IEEE

Regression Model for Calculating Steady-State Internal Key Point Temperatures in High-Voltage Vacuum Circuit Breaker

Abstract: The enclosed structure of vacuum circuit breakers (VCBs) prevents the temperature measurement at internal key points. This study develops a regression model for a 126 kV VCB that leverages ...
IEEE

Fixed Point Cloud Normalization and None-Sequential Modeling for Hand Gesture Recognition Based on Short-Range mmWave Radar Sensor’s Sparse Time-Series Point Cloud

Abstract: This article introduces a novel approach to hand gesture recognition utilizing sparse time-series point cloud data obtained through a short-range mmWave radar sensor. Our proposed method not ...
EDN

Short push, long push for sequential operation of multiple power supplies

In MCU-based projects, this design uses a single push button to switch on and switch off 5-V and 15-V supplies in sequence.
IEEE

Low-Noise Current Readout Circuits: A tutorial overview

Abstract: Low-noise current readout circuits are essential in modern scientific and industrial applications ranging from nanopore sensing to quantum systems. This tutorial-style paper presents a ...
IEEE

A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission

Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...
IEEE

Sequential Semantic Descriptor from 3D Point Clouds for Place Recognition

Abstract: The closed-loop detection of 3D point clouds remains a significant challenge due to the complexities involved in generating effective descriptors that are robust to occlusion and viewpoint ...
GitHub

Improving Sequential Recommendation with LLMs

Implementation and reproducible experiments behind the research paper "Improving Sequential Recommendation with LLMs", which substantially extends our RecSys paper. The paper is uploaded to Arxiv.
IEEE

Sequential Feature-Augmented Deep Multilabel Learning for Compound Fault Diagnosis of Rotating Machinery With Few Labeled and Imbalanced Data

Abstract: Accurate fault diagnosis of rotating machinery is essential for smooth and safe operations of mechanical systems, and various data-driven methods have been developed based on massive sensing ...
IEEE

Orthogonal Sequential Fusion in Multimodal Learning

Abstract: The integration of data from multiple modalities is a fundamental challenge in machine learning, encompassing applications from image captioning to text-to-image generation. Traditional ...
IEEE

Polynomial Formal Verification of Sequential Circuits

Abstract: Recently, the concept of Polynomial Formal Verification (PFV) has been introduced and successfully applied to several classes of functions, allowing complete verification under resource ...