Results 171 to 180 of about 77,468 (304)

Deep Learning Methods for Waste Classification

Waste could be reduced, reused and recycled. Classifying waste and recycling play important roles in converting waste into valuable materials that help conserve land reduce pollution and optimize resource utilization.
Qi, Jianchun
core  

Understanding Food Waste Sorting Practices: Insights from a Systematic Review

Approximately 2.5 billion tons of waste are generated annually worldwide, with food waste constituting a significant portion: 88 million tons in the European Union (EU) alone.
Viktorija Bobinaite, Gediminas Naujokas
core   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing. [PDF]

Sci Rep
Liu T, Li B, Wang Z.
europepmc   +1 more source

The concept of waste and the classification of waste

, 2015
The thesis deals with the legal definition of waste; it analyzes the meaning of the concept of waste in international, European and Czech legislation.
Trojanová, Tereza
core  

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Deep residual and hybrid CNN models for confidence-aware real-world waste classification for sustainable waste management. [PDF]

Sci Rep
Kumar Y, Bhardwaj P, Malhotra S, Prasad A, Kim W, Ijaz MF.   +5 more
europepmc   +1 more source

Rural Residents' Awareness of Environmental Protection and Waste Classification Behavior in Jiangsu, China: An Empirical Analysis. [PDF]

Int J Environ Res Public Health, 2020
Liu A, Osewe M, Wang H, Xiong H.
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

The understanding of waste classification on combustible wastes in Japan

The understanding of waste classification on combustible wastes in Japan
identifier:oai:t2r2.star.titech.ac.jp ...
openaire