Results 41 to 50 of about 54,400 (268)

Prevalence of wasting and its associated factors among children under 5 years of age in India: Findings from the comprehensive national nutrition survey

Indian Journal of Public Health
Background: The burden of wasting among under five children in India, has not reduced in the last decade. Objectives: We used child-level data from the latest nationally representative Comprehensive National Nutritional Survey (CNNS) to estimate the ...
Tarun Shankar Choudhary, Rukman Manapurath, Ranadip Chowdhury, Sunita Taneja, Abner Daniel, Robert Johnston, Arjan de Wagt, Nita Bhandari   +7 more
doaj   +1 more source

Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision

IEEE Access, 2020
This article analyzes the research progress in field of Convolutional Neural Networks (CNNs) using the bibliometric method. Literature samples of CNNs are analyzed by a basic statistic and co-citation network.
Huie Chen, Zhenjie Deng
doaj   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

IJCM_21A: How do under-five children belonging to scheduled tribes compare with the non- tribal children: a secondary data analysis using the Comprehensive National Nutritional Survey (CNNS) 2016-18.

Indian Journal of Community Medicine
Background: Scheduled tribes (ST) constitute 8.6% of India’s population. Disproportionate burden of undernutrition is found among these socially disadvantaged population.
H Pavithra, Madhavi Bhargava, Konsam Dinachandra   +2 more
doaj   +1 more source

Remote Sensing Image Scene Classification in Hybrid Classical–Quantum Transferring CNN with Small Samples

Sensors, 2023
The scope of this research lies in the combination of pre-trained Convolutional Neural Networks (CNNs) and Quantum Convolutional Neural Networks (QCNN) in application to Remote Sensing Image Scene Classification(RSISC). Deep learning (RL) is improving by
Zhouwei Zhang, Xiaofei Mi, Jian Yang, Xiangqin Wei, Yan Liu, Jian Yan, Peizhuo Liu, Xingfa Gu, Tao Yu   +8 more
doaj   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

Advanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K. Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary, Arash Mostaghimi, Zackory Erickson, Carmel Majidi   +12 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

INTELLIGENT SURVEILLANCE SYSTEM FOR FIRE DETECTION USING YOLOV8

Iraqi Journal for Computers and Informatics
This study describes a lightweight deep learning model trained on a self-made image dataset taken inside farms and open areas of the Holy Shrine of Al-Hussainiya in the City of Karbala, Iraq.
Muthanna S. Mohammed, Amel H. Abbas, Nada A.Z. Abdullah   +2 more
doaj   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Combining bag of visual words-based features with CNN in image classification

Journal of Intelligent Systems
Although traditional image classification techniques are often used in authentic ways, they have several drawbacks, such as unsatisfactory results, poor classification accuracy, and a lack of flexibility.
Marzouk Marwa A., Elkholy Mohamed
doaj   +1 more source