Results 161 to 170 of about 2,851,445 (234)

Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks. [PDF]

PLoS One
Islam MM, Hasan SMM, Hossain MR, Uddin MP, Mamun MA.   +4 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Smart waste classification in IoT-enabled smart cities using VGG16 and Cat Swarm Optimized random forest. [PDF]

PLoS One
Gaurav A, Gupta BB, Arya V, Attar RW, Bansal S, Alhomoud A, Chui KT.   +6 more
europepmc   +1 more source

Vascularized Liver‐on‐a‐Microsphere Reveals Alanine‐Glucose Metabolism‐Driven Regulation of Liver Function and Injury

Advanced Science, EarlyView.
A vascularized liver‐on‐a‐microsphere system is developed to recreate lobule‐like cellular organization and endothelial barrier function within compartmentalized hydrogel particles. The platform enhances hepatic performance and reveals alanine‐glucose cycle activation linked to improved detoxification capacity, offering a high‐throughput microscale ...
Jingyang Li, Zengnan Wu, Yingrui Zhang, Shulang Chen, Yongning Lin, Shiyu Chen, Tong Xu, Xianli Meng, Yi Zhang, Jin‐Ming Lin   +9 more
wiley   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning. [PDF]

Environ Sci Pollut Res Int
Sayed GI, Abd Elfattah M, Darwish A, Hassanien AE.   +3 more
europepmc   +1 more source

Halide Perovskite: A Rich Source of Thermal Insulator

Advanced Science, EarlyView.
Halide perovskites exhibit ultralow thermal conductivity driven by intrinsic lattice softness and strong anharmonicity, falling below conventional defect‐engineering limits. Weak metavalent bonding, A‐site rattling, and dynamic octahedral tilting drive phonon scattering to the Ioffe–Regel limit, where wave‐like tunneling replaces particle‐like ...
Haolin Ye, Bangzhi Ge, Yuan Yu, Chongjian Zhou   +3 more
wiley   +1 more source

New Policy and Implementation of Municipal Solid Waste Classification in Shanghai, China. [PDF]

Int J Environ Res Public Health, 2019
Zhou MH, Shen SL, Xu YS, Zhou AN.
europepmc   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling. [PDF]

Comput Intell Neurosci, 2018
Chu Y, Huang C, Xie X, Tan B, Kamal S, Xiong X.   +5 more
europepmc   +1 more source