Results 81 to 90 of about 44,232 (283)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Survey of Strategies for Switching Off Base Stations in Heterogeneous Networks for Greener 5G Systems

IEEE Access, 2016
For heterogeneous network, which has been viewed as one pioneering technology for making cellular networks be evolved into 5G systems, reducing energy consumption by dynamically switching off base stations (BSs) has attracted increasing attention ...
Fengxia Han, Shengjie Zhao, Lu Zhang, Jinsong Wu   +3 more
doaj   +1 more source

Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios

IEEE Access, 2020
The Internet of Things (IoT)-centric concepts like augmented reality, high-resolution video streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous presence now. These applications require higher data-rates, large bandwidth,
Kinza Shafique, Bilal A. Khawaja, Farah Sabir, Sameer Qazi, Muhammad Mustaqim   +4 more
doaj   +1 more source

Fronthaul-Constrained Cloud Radio Access Networks: Insights and Challenges

, 2015
As a promising paradigm for fifth generation (5G) wireless communication systems, cloud radio access networks (C-RANs) have been shown to reduce both capital and operating expenditures, as well as to provide high spectral efficiency (SE) and energy ...
Lau, V., Peng, M., Poor, H. V., Wang, C.
core   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Analyzing Delay in Wireless Multi-hop Heterogeneous Body Area Networks [PDF]

, 2013
With increase in ageing population, health care market keeps growing. There is a need for monitoring of health issues. Wireless Body Area Network (WBAN) consists of wireless sensors attached on or inside human body for monitoring vital health related ...
Javaid, A., Javaid, N., Khan, M. A., Khan, M. Y., Khan, Z. A., Yaqoob, M.   +5 more
core  

Robust and Tailored 1D/3D Heterojunction for Efficient and Stable Perovskite Solar Cells

Advanced Science, EarlyView.
This study successfully established a robust 1D/3D heterojunction, characterized by a stable 1D phase, favorable lattice matching, strong interface binding, and effective defect passivation. The resulting epitaxial perovskite film demonstrates preferential vertical orientation of (100) facets, thereby facilitating carriers’ transport and stress relief.
Wending Hao, Tao Liu, Xu Wang, Luan Li, Ziyu Zhang, Fengqi Sun, Qiang Luo, Ning Wang   +7 more
wiley   +1 more source

Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis [PDF]

, 2017
Full-duplex (FD) has emerged as a disruptive communications paradigm for enhancing the achievable spectral efficiency (SE), thanks to the recent major breakthroughs in self-interference (SI) mitigation. The FD versus half-duplex (HD) SE gain, in cellular
Shojaeifard, Arman, Tang, Jie, Wong, Kai-Kit, Yu, Wei, Zheng, Gan   +4 more
core   +1 more source

Fog Computing: A Taxonomy, Survey and Future Directions

, 2017
In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing ...
Buyya, Rajkumar, Kotagiri, Ramamohanarao, Mahmud, Redowan   +2 more
core   +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