Results 111 to 120 of about 141,511 (274)

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Use of wireless technologies in IoT projects

Journal of Edge Computing
When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughput ...
Tetiana A. Vakaliuk, Oleksandr V. Andreiev, Oleksandr F. Dubyna, Oksana L. Korenivska, Yevheniya O. Andreieva   +4 more
doaj   +1 more source

Fuzzy logic-based call admission control in 5G cloud radio access networks with preemption

EURASIP Journal on Wireless Communications and Networking, 2017
Fifth generation (5G) cellular networks will be comprised of millions of connected devices like wearable devices, Androids, iPhones, tablets, and the Internet of Things (IoT) with a plethora of applications generating requests to the network.
Tshiamo Sigwele, Prashant Pillai, Atm S. Alam, Yim F. Hu   +3 more
doaj   +1 more source

Inherently Disordered Auxetic Metamaterials

Advanced Science, EarlyView.
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari, Reza Moghimimonfared, Andrea Spaggiari, Luke Mizzi   +3 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

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

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

Dynamic Etching‐Induced Cl‐Terminated Ti3C2Clx/Ti3ZnC2 Heterostructure for Ammonia Electrosynthesis and Zinc‐Nitrogen Batteries

Advanced Science, EarlyView.
A stable Ti3C2Clx/Ti3ZnC2 heterostructure, fabricated by dynamic etching, exhibits outstanding electrocatalytic NRR activity (NH3 yield: 20.1 µg h−1 mg−1, FE: 38.1%) in alkaline media. The corresponding Zn‐N2 battery achieves a peak power density of 36.5 µW cm−2 and an NH3 yield of 13.1 µg h−1 mg−1, providing an advanced strategy for NH3 and ...
Yu Wang, Ying Sun, Liqun Ye, Jichi Liu, Hui Li, Yang Fu, Fengzhan Sun, Jieshan Qiu, Chang Yu, Tianyi Ma   +9 more
wiley   +1 more source

Computational communication for three-dimensional dense coverage in 5G systems:architecture,approach and gain

Dianxin kexue, 2017
An integrated mobile computational communication architecture for three-dimensional dense coverage in indoor environment was proposed,and the proposed network architecture thus unified the computational electromagnetics,computational information theory ...
Jinkun CHENG, Wei CHEN, Yuanming SHI
doaj   +2 more sources

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