Results 61 to 70 of about 683,409 (316)

An overview of skin cancer classification based on deep learning

Iraqi Journal for Computers and Informatics
Skin melanoma is one of the most dangerous diseases in the world. Correct classification of skin lesions in the first step can help create clinical judgment by providing an optimal judgment of the disease.
Toqa A. Sadoon
doaj   +1 more source

A STUDY ON THE MONITORING MANAGEMENT SYSTEM FOR ANALYZING THE HEALTH STATUS OF LIVESTOCK CATTLE BASED ON MACHINE LEARNING [PDF]

Proceedings on Engineering Sciences
The current integration of agriculture and IT technology has enhanced the efficiency of farm productivity, maintenance, and management. Particularly in the livestock industry, IT technology is predominantly utilized for farm management.
Cho Jeong Hyun
doaj   +1 more source

Human face recognition based on convolutional neural network and augmented dataset

Systems Science & Control Engineering, 2021
To deal with the issue of human face recognition on small original dataset, a new approach combining convolutional neural network (CNN) with augmented dataset is developed in this paper.
Peng Lu, Baoye Song, Lin Xu
doaj   +1 more source

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering [PDF]

, 2016
We propose a novel attention based deep learning architecture for visual question answering task (VQA). Given an image and an image related natural language question, VQA generates the natural language answer for the question.
Chen, Kan, Chen, Liang-Chieh, Gao, Haoyuan, Nevatia, Ram, Wang, Jiang, Xu, Wei   +5 more
core  

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

Bubble Evolution Detector B.E.D. – A Neural Network-Based Approach to Accurately Detect, Classify, and Evaluate Gas Bubbles Captured by A High-Speed Camera on Textured Surfaces

Journal of Open Research Software
Gas bubble emergence is an important indicator of the performance in many processes, for example electrochemical reactions. Using a convolutional neural network (CNN) based on the Darknet/YOLO4-architecture; this software allows the detection and ...
Lukas Lentz, Dorian Hüne, Sebastian Handrich, Christoph Niems, Thomas Gimpel   +4 more
doaj   +1 more source

Research on finger vein recognition based on capsule network

Dianzi Jishu Yingyong, 2018
This paper propose a finger vein recognition algorithm based on the CapsNets(Capsule Network for short) to solve the problem of the information loss of the finger vein in the Convolution Neural Network(CNN). The CapsNets is transferred from the bottom to
Yu Chengbo, Xiong Dien
doaj   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source

Health condition prediction method of the computer numerical control machine tool parts by ensembling digital twins and improved LSTM networks

Nonlinear Engineering
The advent of digital twin technology has precipitated a surge of interest in its implementation within the manufacturing sector, particularly with respect to enhancing productivity and mitigating the risk of equipment failure.
Chen Guo, Yin Haifang
doaj   +1 more source

SANet: Structure-Aware Network for Visual Tracking

, 2017
Convolutional neural network (CNN) has drawn increasing interest in visual tracking owing to its powerfulness in feature extraction. Most existing CNN-based trackers treat tracking as a classification problem.
Fan, Heng, Ling, Haibin
core   +1 more source