Results 81 to 90 of about 2,954,191 (381)
Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement [PDF]
With the increasing usage, scale, and complexity of Deep Learning (DL) models, their rapidly growing energy consumption has become a critical concern. Promoting green development and energy awareness at different granularities is the need of the hour to limit carbon emissions of DL systems.
arxiv
Using infrared thermography for monitoring thermal efficiency of buildings - case studies from Nottingham Trent University [PDF]
Global warming and the continuous increase of energy cost are driving the need for reducing energy consumption. Buildings are responsible for approximately 50% of the UK energy consumption.
Al-Habaibeh, A+4 more
core
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu+3 more
wiley +1 more source
Performance analysis of control allocation using data‐driven integral quadratic constraints
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch+2 more
wiley +1 more source
Effect of tubular heater structures on the thermal behaviors of waxy crude oil
In this paper, we research the temperature field, flow field and melting law of gelled crude oil with different diameters, locations and inclination angles of heating tube by numerical simulation method.
Hang Dong+3 more
doaj
Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study [PDF]
The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy consumption behaviors. User energy consumption is inductively derived from the time-to-time standards of living that shape the user's ...
arxiv
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam+2 more
wiley +1 more source
The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi+3 more
wiley +1 more source
An optimization-based control strategy for energy efficiency of discrete manufacturing systems [PDF]
In order to reduce the global energy consumption and avoid highest power peaks during operation of manufacturing systems, an optimization-based controller for selective switching on/off of peripheral devices in a test bench that emulates the energy ...
Bermeo Ayerbe, Miguel Ángel+3 more
core +2 more sources
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu+7 more
wiley +1 more source