Results 61 to 70 of about 14,919,864 (281)
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 +8 more
wiley +1 more source
A modified faster R-CNN for pulmonary nodule detection : preliminary investigation of hyperparameters and network structure [PDF]
, 2020 LAUREA MAGISTRALEIl cancro del polmone rimane il tumore più frequentemente diagnosticato e la principale causa di morte per cancro in tutto il mondo ma la diagnosi precoce del cancro del polmone può aumentare significativamente le possibilità di ...
Marelli, Lorenzo
core
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks
Applied Sciences, 2020 Cracks are often the most intuitive indicators for assessing the condition of in-service structures. Intelligent detection methods based on regular convolutional neural networks (CNNs) have been widely applied to the field of crack detection in recently ...
Lu Deng +4 more
doaj +1 more source
Target Fast Detection Algorithm Based on Hybrid Structure Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2018 In order to improve the detection speed of the Convolutional Neural Network (CNN) target detection algorithm,a target fast detection algorithm based on hybrid structure CNN is proposed.CNN is optimized by CNN-based Faster R-CNN target detection framework.
LIN Fengxiao,CHEN Huajie,YAO Qinwei,ZHANG Jiehao
doaj +1 more source
Sensors, 2022 In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft fruit to avoid injuries while using robotic or automatic picking systems.
Siyu Pan, Tofael Ahamed
doaj +1 more source
Advanced Materials, EarlyView.Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source
Faster R-CNN as an Application for Object Detection of Scattered LEGO Pieces
, 2020 The benchmarks for the accuracy of the best performing object detectors to date are usually based on homogeneous datasets, including objects such as vehicles, people, animals and foods.
Abderrazik, Hiba (author)
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source