Results 101 to 110 of about 2,703,907 (346)

Fast-Convergent Learning-aided Control in Energy Harvesting Networks

, 2015
In this paper, we present a novel learning-aided energy management scheme ($\mathtt{LEM}$) for multihop energy harvesting networks. Different from prior works on this problem, our algorithm explicitly incorporates information learning into system control
Huang, Longbo
core   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Comprehensive energy demand and usage data for building automation

Scientific Data
Buildings are essential in satisfying our daily need for comfort (privacy, protection from weather, etc.) and are responsible for almost half of the world’s total energy consumption.
Philipp Heer, Curdin Derungs, Benjamin Huber, Felix Bünning, Reto Fricker, Sascha Stoller, Björn Niesen   +6 more
doaj   +1 more source

Cyber-Physical System for Energy Management

, 2021
Se-Range Oh, Young-Chul Bae
openalex   +2 more sources

An investigation into standards in sustainable design and manufacture [PDF]

, 2009
This paper reports upon the application of standards to reduce the negative environmental impacts of manufacturing through product lifecycle planning and closed loop production. By eliminating waste and retaining the energy embodied within materials and
Griffiths, BJ, Harrison, DJ, Lam, B, Plant, AVC   +3 more
core  

D2D Data Offloading in Vehicular Environments with Optimal Delivery Time Selection

, 2019
Within the framework of a Device-to-Device (D2D) data offloading system for cellular networks, we propose a Content Delivery Management System (CDMS) in which the instant for transmitting a content to a requesting node, through a D2D communication, is ...
Conti, Marco, Passarella, Andrea, Pescosolido, Loreto   +2 more
core   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Web Monitoring the Potential of Solar Power Plants Based on the Internet of Things [PDF]

E3S Web of Conferences
The market for renewable energy is expanding quickly to support power production, where solar energy is widely used and developed in applied technologies significantly.
Abdillah Hartawan, Afandi A.N., Haris Abdul, Zinul Falah Moh., Baihaqi Mas Ahmad, Sujito   +5 more
doaj   +1 more source

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

Arthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

The OAST space power program [PDF]

The NASA Office of Aeronautics and Space Technology (OAST) space power program was established to provide the technology base to meet power system requirements for future space missions, including the Space Station, earth orbiting spacecraft, lunar and ...
Bennett, Gary L.
core   +1 more source