Results 11 to 20 of about 4,484,297 (341)
Abstract This study uses longitudinal data from the UK Millennium Cohort Study (N = 13,277) to examine the childhood and early adolescence factors that predict weapon involvement in middle adolescence, which in this study is exemplified by having carried or used a weapon.
Aase Villadsen, Emla Fitzsimons
wiley +1 more source
Abstract Purpose Treatment planning for head‐and‐neck (H&N) cancer, in particular oropharynx, nasopharynx, and paranasal sinus cases, at our center requires noncoplanar proton beams due to the complexity of the anatomy and target location. Targeting accuracy for all beams is carefully evaluated by using image guidance before delivering proton beam ...
Nrusingh C. Biswal+5 more
wiley +1 more source
Well‐being on supportive techniques in amyotrophic lateral sclerosis: from neurologists' perspective
Abstract Objective To investigate intercultural neurologists' perception of well‐being in patients with amyotrophic lateral sclerosis (ALS) using gastrostomy (PEG), non‐invasive, and/or invasive ventilation (NIV/IV) and to analyse the determinants and impact on the management of the above medical interventions (MIs).
Krzysztof Barć+7 more
wiley +1 more source
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices [PDF]
We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MFLOPs).
Xiangyu Zhang+3 more
semanticscholar +1 more source
Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks
The next generation of wireless networks faces the challenges of the explosion of mobile data traffic, the associated power consumption, and operation cost.
Zongshuai Zhang+7 more
doaj +1 more source
A Survey on Mobile Edge Computing: The Communication Perspective
Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized mobile cloud computing toward mobile edge computing (MEC).
Yuyi Mao+4 more
semanticscholar +1 more source
Dimensionality Reduction for Human Activity Recognition Using Google Colab
Human activity recognition (HAR) is a classification task that involves predicting the movement of a person based on sensor data. As we can see, there has been a huge growth and development of smartphones over the last 10–15 years—they could be used as a
Sujan Ray+2 more
doaj +1 more source
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing [PDF]
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users.
Xu Chen+3 more
semanticscholar +1 more source
Workload Orchestration in Multi-Access Edge Computing Using Belief Rule-Based Approach
Multi-access Edge Computing (MEC) is a standard network architecture for edge computing, which is proposed to handle enormous computation demands from emerging resource-intensive and latency-sensitive applications and services as well as accommodate ...
Mohammad Newaj Jamil+3 more
doaj +1 more source
Publishing Node Strength Distribution With Node Differential Privacy
The challenge of graph data publishing under node-differential privacy mainly comes from the high sensitivity of the query. Compared with edge-differential privacy that can only protect the relationship between people, node-differential privacy can ...
Ganghong Liu, Xuebin Ma, Wuyungerile Li
doaj +1 more source