تصفح Computer Science & Engineering حسب العنوان
السجلات المعروضة 1670 -- 1689 من 2262
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Power Allocation for D2D Communications with SWIPT
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Power allocation plays a vital role in coordinating interference between Device-to-Device (D2D) and cellular communications, and when power allocation meets simultaneous wireless information and power transfer (SWIPT), the ... -
Power and task management in wireless body area network based medical monitoring systems
( Springer Nature , 2012 , Conference Paper)Intelligent healthcare systems incorporating wireless sensors in a ubiquitous computing environment have the potential to revolutionize outpatient care. Such systems must balance effective and timely reporting of results ... -
Power control and group proportional fairness for frequency domain resource allocation in L-SC-FDMA based LTE uplink
( Kluwer Academic Publishers , 2015 , Article)Resource allocation in Long Term Evaluation (LTE) uplink is challenging because of two reasons: (1) it requires contiguous resource block allocation and (2) high complexity due to per user based power allocation among ... -
Power-optimal feedback-based random spectrum access for an energy harvesting cognitive user
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, we study and analyze cognitive radio networks in which secondary users (SUs) are equipped with energy harvesting (EH) capability. We design a random spectrum sensing and access protocol for the SU that ... -
PPLS: a privacy-preserving location-sharing scheme in mobile online social networks
( Science in China Press , 2020 , Article)The recent proliferation of mobile devices has given rise to mobile online social networks (mOSNs), an emerging network paradigm that uses social networks as its main design element. As one of the most critical components ... -
Practical and secure outsourcing of matrix computations to the cloud
( IEEE , 2013 , Conference Paper)Cloud computing enables a cost effective outsourcing of storage and resource-intensive computations. Secure outsourcing of data and computation is challenging in this emerging computing model. In particular, outsourcing ... -
A Practical Cross Device Federated Learning Frame-work over 5G N etworks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The concept of federated learning (FL) was first proposed by Google in 2016. Thereafter, FL has been widely studied for the feasibility of application in various fields due to its potential to make full use of data without ... -
Precision nutrition: A systematic literature review
( Elsevier , 2021 , Article Review)Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ... -
Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). ... -
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ... -
Predicting emergency department utilization among children with asthma using deep learning models
( Elsevier , 2022 , Article)Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ... -
Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
( Elsevier , 2023 , Article)Ischemic stroke, a severe medical condition triggered by a blockage of blood flow to the brain, leads to cell death and serious health complications. One key challenge in this field is accurately predicting infarction ... -
Predicting Plasma Vitamin C Using Machine Learning
( Taylor and Francis Ltd. , 2022 , Article)Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ... -
Predicting transformers oil parameters
( IEEE , 2009 , Conference Paper)In this paper different configurations of artificial neural networks are applied to predict various transformers oil parameters. The prediction is performed through modeling the relationship between the transformer insulation ... -
Prediction of date and ideology of old Islamic documents
( American Scientific Publishers , 2017 , Article)Prediction of date and Ideology (aka Islamic school or Madhab) is a very important research field. It allows scholars and researchers to find out more about what is specific to a particular period of time and what the main ... -
Prediction of Transformer Furan Levels
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this letter, the ranges of furan content in oil in power transformers are predicted using measurements of oil tests, such as breakdown voltage, acidity, water content, and dissolved gas analysis. Predictive models based ... -
Prediction-based delay optimization data collection algorithm for underwater acoustic sensor networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The past years have seen a rapid development of autonomous underwater vehicle-aided (AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The use of AUVs efficiently reduces energy consumption ... -
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance ... -
Predictive Autoscaling of Microservices Hosted in Fog Microdata Center
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Fog computing provides microdata center (MDC) facilities closer to the users and applications, which help to overcome the application latency and response time concerns. However, guaranteeing specific service-level objectives ... -
Predictive maintenance using digital twins: A systematic literature review
( Elsevier , 2022 , Article Review)Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
