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View article: Intensive luteal phase support in hormone replacement and modified natural cycle frozen embryo transfers in ovulatory patients: A propensity score-matched study
Intensive luteal phase support in hormone replacement and modified natural cycle frozen embryo transfers in ovulatory patients: A propensity score-matched study Open
Background The optimal endometrial preparation protocol for frozen embryo transfer (FET) remains controversial, with different cycle regimens and luteal phase support strategies across studies yielding conflicting results. This study aimed…
View article: UNIVERSITY STUDENTS’ PERCEPTIONS OF ENTREPRENEURSHIP THROUGH PARTICIPATION IN AN ONLINE TRAINING COURSE UNDER THE ECOVIP INTERNATIONAL PROJECT: A CASE AT CAN THO UNIVERSITY, VIETNAM
UNIVERSITY STUDENTS’ PERCEPTIONS OF ENTREPRENEURSHIP THROUGH PARTICIPATION IN AN ONLINE TRAINING COURSE UNDER THE ECOVIP INTERNATIONAL PROJECT: A CASE AT CAN THO UNIVERSITY, VIETNAM Open
This study explored university students’ perceptions of entrepreneurship following their participation in an online training course conducted under the ECOViP international project. A total of 108 students from Can Tho University, Vietnam,…
View article: Machine learning-based real-time anomaly detection using data pre-processing in the telemetry of server farms
Machine learning-based real-time anomaly detection using data pre-processing in the telemetry of server farms Open
Fast and accurate anomaly detection is critical in telemetry systems because it helps operators take appropriate actions in response to abnormal behaviours. However, recent techniques are accurate but not fast enough to deal with real-time…
View article: Modeling for Apple-Slice Drying in Carbon Dioxide Gas
Modeling for Apple-Slice Drying in Carbon Dioxide Gas Open
In this study, a numerical model of a modified air-drying process of apple slices that considers the conjugate heat and mass transfer in the drying chamber is developed. Inside the apple slice sample, the continuum model is incorporated to…
View article: Ego4D: Around the World in 3,600 Hours of Egocentric Video
Ego4D: Around the World in 3,600 Hours of Egocentric Video Open
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camer…
View article: Impact of Co-channel Interference on the Performance of Cooperative Diversity Systems over α–μ Fading Channels
Impact of Co-channel Interference on the Performance of Cooperative Diversity Systems over α–μ Fading Channels Open
This paper investigates the impact of the co-channel interference on the performance of cooperative diversity networks. Selection combination technique is applied to the paths from multiple relay branches with no link directly connects the…
View article: Study the Instability Dynamic of a Bus in Crosswind Conditions
Study the Instability Dynamic of a Bus in Crosswind Conditions Open
When a grand bus is moving on the road, aerodynamic forces and moments can be the main cause of vehicle instability and accidents. Therefore, studying the influence of aerodynamic forces and moments on the instability of grand buses is a m…
View article: A Queueing Model for Threshold-Based Scaling of UPF Instances in 5G Core
A Queueing Model for Threshold-Based Scaling of UPF Instances in 5G Core Open
The fifth-generation networks User Plane Function (UPF) provides necessary procedures to connect end-devices and data networks. A Protocol Data Unit (PDU) session between specific user equipment (UE) and the UPF is established before data …
View article: Performance Analysis of Cognitive Radio Networks With Burst Dynamics
Performance Analysis of Cognitive Radio Networks With Burst Dynamics Open
The impact of the traffic characteristics of secondary users (SUs) on the performance of cognitive radio networks (CRNs) should be understood for designing operation rules. This paper focuses on multi-type burst services and network conges…
View article: Scaling UPF Instances in 5G/6G Core With Deep Reinforcement Learning
Scaling UPF Instances in 5G/6G Core With Deep Reinforcement Learning Open
In the 5G core and the upcoming 6G core, the User Plane Function (UPF) is responsible for the transportation of data from and to subscribers in Protocol Data Unit (PDU) sessions. The UPF is generally implemented in software and packed into…
View article: Deep Depth Estimation from Visual-Inertial SLAM
Deep Depth Estimation from Visual-Inertial SLAM Open
This paper addresses the problem of learning to complete a scene's depth from sparse depth points and images of indoor scenes. Specifically, we study the case in which the sparse depth is computed from a visual-inertial simultaneous locali…
View article: A comparison of forecasting models for the resource usage of MapReduce applications
A comparison of forecasting models for the resource usage of MapReduce applications Open
In this paper, we construct forecasting models (multivariate long short-term memory recurrent neural networks and multiple linear regression) for the resource usage prediction of four MapReduce applications and applications executed within…
View article: Provisioning Input and Output Data Rates in Data Processing Frameworks
Provisioning Input and Output Data Rates in Data Processing Frameworks Open
This paper is motivated by the need of deadline-bounded applications in live mobile network environments to obtain the guarantee and the appropriate share of an input and output (I/O) data rate. However, data processing frameworks only sup…
View article: Investigation and Characterization of Mapreduce Applications for Big Data Analytics
Investigation and Characterization of Mapreduce Applications for Big Data Analytics Open
Recently, many organisations have applied Hadoop MapReduce framework for big data analytics. MapReduce applications based on the MapReduce programming model can be developed to process data of large amount. Therefore, understanding a depen…
View article: New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters
New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters Open
In this paper, we propose new real-time measurement-based scheduling algorithms to achieve a trade-off between the energy efficiency and the performance capability of computational clusters. An investigation is performed using a specific s…
View article: Job Scheduling in a Computational Cluster with Multicore Processors
Job Scheduling in a Computational Cluster with Multicore Processors Open
In this paper, we investigate a job scheduling problem in a heterogeneous computing cluster built from servers with multicore processors. Dynamic Power Management technique is applied, where the delay to bring a server from the sleep to th…