Results 11 to 20 of about 14,936 (148)

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik, Shahzad Hassan, Rizwan Ali Naqvi, Saddaf Rubab, Usman Tariq, Monia Hamdi, Hela Elmannai, Ye Jin Kim, Jae‐Hyuk Cha   +8 more
wiley   +1 more source

Design and implementation of geographic information system with mobile terminal and 5G network

IET Networks, EarlyView., 2022
Abstract Remote insurance mainly completes quotation, insurance application and payment through the PC terminal and mobile terminal, and the premium directly enters the insurance account. This article takes remote insurance as an example. First, it analyses the requirements of the remote insurance and insurance system, and then collects data from the ...
Huijun Xiao, Tangsen Huang, Ensong Jiang
wiley   +1 more source

Tailoring Tubular Supramolecular Polymers with Polar Lumens to Host Hydrophilic Dye Molecules

Angewandte Chemie, EarlyView.
A unique class of tubular polymer structures that are soluble in apolar organic solvents but are endowed with polar pores has been created through the rational design of the monomer units, which self‐assemble in amphiphilic cyclic entities that then stack into tubular architectures. These tailored assemblies are able to selectively host hydrophilic dye
Irene Sancho‐Casado, Fátima Aparicio, Marina González‐Sánchez, Raquel Chamorro, Víctor Vega‐Mayoral, Juan Cabanillas‐González, David González‐Rodríguez   +6 more
wiley   +2 more sources

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

Advanced Electronic Materials, EarlyView.
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan   +4 more
wiley   +1 more source

Characterization and Reporting Protocols for Structural Power Composites: A Perspective

Advanced Energy Materials, EarlyView.
Here, the issues for testing and reporting on structural power composites are described: multifunctional materials that can carry loads while providing electrical energy. As well as proposing best practice, the development of a “universal coupon” is recommended for studying these materials and any interactions that occur between the two functions ...
Emile S. Greenhalgh, Sang Nguyen, Leif E. Asp, Alfredo Bici, Alexander Bismarck, Derrick Fam, Mats Johansson, Göran Lindbergh, Jodie L. Lutkenhaus, Milo S. P. Shaffer, Natasha Shirshova, Madhavi Srinivasan, Johanna Xu, Dan Zenkert   +13 more
wiley   +1 more source

Battery‐Grade Lithium Materials: Virgin Production and Recycling, a Techno‐Economic Comparison

Advanced Energy Materials, EarlyView.
With this study a framework has been created to analyze new innovative lithium compound manufacturing processes for their cost and environmental competitiveness. This analysis includes details on virgin and recycled pathways to produce lithium carbonate or lithium hydroxide monohydrate.
Sabine M. Gallagher, Nighat A. Chowdhury, Qiang Dai, Jeffrey S. Spangenberger   +3 more
wiley   +1 more source

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães, Dat Duong, Melissa A. Haendel, Tzung‐Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni‐Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J. Guillen Sacoto, Yousif J. Shwetar, Vincent D. Ustach, Rebekah L. Waikel, William Woof   +20 more
wiley   +1 more source

Mobile Broadband Possibilities considering the Arrival of IEEE 802.16m & LTE with an Emphasis on South Asia [PDF]

, 2010
This paper intends to look deeper into finding an ideal mobile broadband solution. Special stress has been put in the South Asian region through some comparative analysis.
Hamid, Nafiz Imtiaz Bin, Hossain, Md. Zakir, Jamal, Taskin, Khandokar, Md. R. H., Shoeb, Md. A.   +4 more
core   +2 more sources

A smartphone-based Teleradiology system [PDF]

, 2014
The development of a teleradiology application for remote monitoring and processing of patient image data using 2nd generation mobile devices with enhanced network services, is of extreme interest, especially when the final means of display is a ...
Banitsas, K, Cavouras, D, Dimitropoulos, N, Georgiadis, P, Georgiou, H, Sidiropoulos, K, Tachakra, S   +6 more
core  

Efficient and Fast Microplastic Separation From Aqueous Media by Electron Beam Assisted Developed Superhydrophobic Jute Fabric

Journal of Applied Polymer Science, EarlyView.
Efficient and fast microplastic separation from aqueous media by superhydrophobic jute fabric. ABSTRACT The accumulation of microplastics (MPs) in various aquatic environments is an alarming problem in the modern world. Hydrophobic surfaces are potential candidates to remove microplastics from water.
Atanu Jha, Amol Thite, Subhendu Ray Chowdhury   +2 more
wiley   +1 more source