Results 61 to 70 of about 3,353,653 (239)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Private Anomaly Detection of Student Health Conditions based on Wearable Sensors in Mobile Cloud Computing [PDF]

J Cloud Comput (Heidelb), 2022
Xie Y, Zhang K, Kou H, Mokarram MJ.
europepmc   +2 more sources

A Novel Algorithm for Estimating Purchase Incentive of the Public Based on Mobile Cloud Computing

IEEE Access, 2019
Mobile cloud computing provides applications of cloud computing technology on mobile Internet. In the era of the 5G networks, mobile cloud computing offers the possibility of heavy computational in parallel through different mobile terminals.
Bi Mei, Xuguang Wang, Quansi Wen, Yong Tang, Hao Wang, Choujun Zhan   +5 more
doaj   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Mobile Cloud for Parallel and Distributed Green Computing

Journal of Telecommunications and Information Technology, 2017
Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic changes and there
Leszek Siwik, Dawid Kala, Mateusz Godzik, Wojciech Turek, Aleksander Byrski, Marek Kisiel-Dorohinick   +5 more
doaj   +1 more source

Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics

Journal of Big Data, 2021
Social media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various social media platforms.
Kiran Chaudhary, Mansaf Alam, Mabrook S. Al-Rakhami, Abdu Gumaei   +3 more
doaj   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm

Journal of Sensor and Actuator Networks, 2017
Mobile cloud computing (MCC) is becoming a popular mobile technology that aims to augment local resources of mobile devices, such as energy, computing, and storage, by using available cloud services and functionalities.
Hind Bangui, Mouzhi Ge, Barbora Buhnova, Said Rakrak, Said Raghay, Tomas Pitner   +5 more
doaj   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

Advanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei, Lekai Song, Songwei Liu, Yingyi Wen, Yaoqiang Zhou, Yang Liu, Pengyu Liu, Wenyu Cui, Xin Lu, Teng Ma, Zegao Wang, Guohua Hu   +11 more
wiley   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source