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Joint communication and computation offloading for ultra-reliable and low-latency with multi-tier computing
(2023-02)In this paper, we study joint communication and computation offloading (JCCO) for hierarchical edge-cloud systems with ultra-reliable and low latency communications (URLLC). We aim to minimize the end-to-end (e2e) latency ... -
Joint communications and sensing design for multi-carrier MIMO systems
(2023)In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in ... -
Joint communications and sensing design for multi-carrier MIMO systems
(2023)With the emergence of ultra-reliable and low latency communication (URLLC) services, link adaptation (LA) plays a pivotal role in improving the robustness and reliability of communication networks via appropriate modulation ... -
Joint preloading and bitrate adaptation for short video streaming
(2023)Short videos have become one of the most popular content mobile users consume nowadays. However, unlike traditional videos, users watch many short videos each time and frequently skip those not of their interest. Not taking ... -
Joint Resource Allocation and Link Adaptation for Ultra-Reliable and Low-Latency Services
(2023)With the emergence of ultra-reliable and low latency communication (URLLC) services, link adaptation (LA) plays a pivotal role in improving the robustness and reliability of communication networks via appropriate modulation ... -
Joint RIS-Aided Precoding and Multislot Scheduling for Maximum User Admission in Smart Cities
(2024-01-01)Reconfigurable intelligent surfaces (RISs) have emerged as a game-changing technology to improve wireless network performance by intelligently manipulating and customizing the physical propagation environment. Such capability ... -
Knowledge, attitude, and practice of parents on maternal care in a mountainous district of Vietnam: A qualitative study
(2021)Barriers preventing parents from accessing healthcare services affect the effectiveness of maternal care in mountainous areas of Vietnam. Aim: This study aimed to examine the current knowledge, attitudes, and practice ... -
Laparoscopic pancreatic duct exploration, electrohydraulic shock wave lithotripsy combined with internal drainage for pancreatic duct stones: A case report
(2023-03-29)Introduction: Chronic pancreatitis is characterized by irreversible structural damage, including fibrosis and compression of the pancreatic ducts, often leading to stones forming in the pancreatic duct and parenchyma. ... -
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
(2022-03-20)Building an accurate computer-aided diagnosis system based on data-driven approaches requires a large amount of high-quality labeled data. In medical imaging analysis, multiple expert annotators often produce subjective ... -
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
(2023-04-10)Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays ... -
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
(Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021-08)Chest radiograph (CXR) interpretation is critical for the diagnosis of various thoracic diseases in pediatric patients. This task, however, is error-prone and requires a high level of understanding of radiologic expertise. ... -
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
(2021-10-17)Chest radiograph (CXR) interpretation is critical for the diagnosis of various thoracic diseases in pediatric patients. This task, however, is error-prone and requires a high level of understanding of radiologic expertise. ... -
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
(2022-10-07)Deep learning, in recent times, has made remarkable strides when it comes to impressive performance for many tasks, including medical image processing. One of the contributing factors to these advancements is the emergence ... -
Lifetime Drinking Trajectories and Nonfatal Acute Myocardial Infarction
(2019-11-01)Background: The relation of lifetime drinking trajectories to coronary heart disease is not well understood. Methods: Cases hospitalized for a nonfatal acute myocardial infarction (AMI) and healthy population-based controls ... -
LightX3ECG: A lightweight and explainable deep learning system for 3-lead electrocardiogram classification
(2022-07-25)Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays ... -
The lived experience of hospitalized and non-hospitalized health care providers of COVID-19 pandemic: a qualitative stud
(2022-12-13)This paper explores the lived experience and any mental health issues of COVID-19 survivors throughout the disease crisis using a qualitative method. The semi-structured interviewing method was conducted with COVID-19 ... -
A logistics book hidden in a linguistics library shelf: a qualitative examination of how resource constraints manifest in library operations
(2025-01-13)Academic libraries are essential to teaching, learning, and national development, making adequate library resources crucial for academic institutions. This study examines how limited library resources, particularly recommended ... -
LOGOVIT: Local-global vision transformer for object re-identification
(2023-06)Object re-identification (ReID) is prone to errors under variations in scale, illumination, complex background, and object occlusion scenarios. To overcome these challenges, attention mechanisms are employed to concentrate ... -
An LSTM-based Approach for Overall Quality Prediction in HTTP Adaptive Streaming
(2019-04)HTTP Adaptive Streaming (HAS) has become a popular solution for multimedia delivery nowadays. In HAS, video quality is generally varying in each streaming session. Therefore, a key question in HTTP Adaptive Streaming is ...
