Results 51 to 60 of about 177,128 (280)

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

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

Video‐based action recognition using spurious‐3D residual attention networks

IET Image Processing, 2022
Recently, 3D Convolutional Neural Networks (3D CNNs) have attracted extensive attention in extracting spatial and temporal features in videos for their efficient feature extraction ability.
Bo Chen, Hongying Tang, Zebin Zhang, Guanjun Tong, Baoqing Li   +4 more
doaj   +1 more source

A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns

, 2018
Convolutional neural networks (CNNs) can potentially provide powerful tools for classifying and identifying patterns in climate and environmental data. However, because of the inherent complexities of such data, which are often spatio-temporal, chaotic ...
Chattopadhyay, Ashesh, Hassanzadeh, Pedram, Pasha, Saba   +2 more
core   +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

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

Multifunctional Bio‐Based Packaging for Perishable Foods: Structural Design, Scalable Fabrication, and Versatile Applications

Advanced Materials, EarlyView.
An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang, Jiaqi Zhang, Mei Cui, Wei Qi, Renliang Huang, Rongxin Su, Kai Zhang   +6 more
wiley   +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

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 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