Results 71 to 80 of about 84,699 (302)

A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges

IEEE Access, 2022
In the last decade, Deep Learning (DL) has revolutionized the use of artificial intelligence, and it has been deployed in different fields of healthcare applications such as image processing, natural language processing, and signal processing.
Abdullah A. Abdullah, Masoud M. Hassan, Yaseen T. Mustafa   +2 more
doaj   +1 more source

Sustainable Electrochemical Synthesis of High‐Quality MXenes: Mechanistic Insights, Applications, Challenges, and Technological Prospects

Advanced Functional Materials, EarlyView.
Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh, Madhusudhana M Devadiga, Santosh K. Tiwari, AS Dhaliwal, Gurpreet Singh Selopal   +4 more
wiley   +1 more source

Deep Bidirectional LSTM Network Learning-Aided OFDMA Downlink and SC-FDMA Uplink

, 2021
In this paper, deep learning (DL)-aided signal detection is proposed for the orthogonal frequency division multiple access (OFDMA) in the downlink and for the single carrier frequency division multiple access (SC-FDMA) in the uplink. A deep bidirectional
Saha, Ritu, Awal, Md Abdul, Mohammad Ismat Kadir, Kadir, Rafiul, Ritu Saha, Rafiul Kadir, Md. Abdul Awal, Kadir, Mohammad Ismat   +7 more
core   +1 more source

Ultrasensitive Detection of Porcine Epidemic Diarrhea Virus Infections Using Multivalent DNA Nanostructure‐Enabled Lateral Flow Assay

Advanced Healthcare Materials, EarlyView.
A multivalent DNA nanostructure‐enabled lateral flow assay was developed for rapid, ultrasensitive detection of porcine epidemic diarrhea virus (PEDV) nucleocapsid protein. Designer net‐shaped DNA nanostructures (DNA‐Net) presenting PEDV‐specific aptamers achieved ~1000‐fold enhanced binding, enabling detection of viral copies with Ct ≤ 37.42 within 10
Saurabh Umrao, Akhila Naru, Dhanush Gandavadi, Mengxi Zheng, Saraswathi Lanka, Hyeongjun Cho, Chau Nguyen Minh Hoang, Jianqiang Zhang, Ying Fang, Xing Wang   +9 more
wiley   +1 more source

Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images

Diagnostics, 2021
The need for time and attention, given by the doctor to the patient, due to the increased volume of medical data to be interpreted and filtered for diagnostic and therapeutic purposes has encouraged the development of the option to support ...
Tudor Florin Ursuleanu, Andreea Roxana Luca, Liliana Gheorghe, Roxana Grigorovici, Stefan Iancu, Maria Hlusneac, Cristina Preda, Alexandru Grigorovici   +7 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Evaluation of deep learning tools in medical diagnosis and treatment of cancer: research analysis of clinical and randomized clinical trials

Frontiers in Network Physiology
Artificial Intelligence and machine learning tools have brought a revolution in the healthcare sector. This has allowed healthcare providers, patients, and public to be at pole position -amidst the key consideration and barriers-to attain precision and ...
Rawad Hodeify
doaj   +1 more source

Disease diagnosis and prediction using deep learning: a review [PDF]

PeerJ Computer Science
Deep learning (DL) is a machine learning technique that processes data in a manner influenced by the functioning of the human brain. It is an effective tool for deciphering complicated data and may be applied to many other processes, such as decision ...
Shyamala Krishnan, Navamani Thandava Meganathan   +1 more
doaj   +2 more sources

DL-Scale: Deep Learning for model upgrading in topology optimization

Procedia Manufacturing, 2020
Abstract Topology optimization is used for defining the optimal arrangement of material within a specific domain with respect to transferring specific loads to predetermined supports in the best possible way. Deep learning techniques have achieved significant results in computer vision [1], natural language processing [1], big-data management [2 ...
Nikos Ath. Kallioras, Nikos D. Lagaros
openaire   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source