Results 131 to 140 of about 56,368 (297)

Pattern Recognition Using Computer Vision

This project, “Pattern Recognition using Computer Vision” focuses on developing a system capable of identifying and interpreting patterns in visual data through the use of machine learning algorithms. The goal is to address the limitations of traditional pattern recognition systems, such as low accuracy and inefficiency, by leveraging Logistic ...
openaire   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Star tracking using an event camera

, 2018
Star trackers are primarily optical devices that are used to estimate the attitude of a spacecraft by recognising and tracking star patterns. Currently, most star trackers use conventional optical sensors.
Bagchi, Samya, Chin, T.J., Schaik, André, Bagchi, S., Chin, Tat-Jun, Van Schaik, Andre, Schaik, Andre van (R16638), Eriksson, A., Van Schaik, A., Eriksson, Anders   +9 more
core   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

ADAPTIVE VISION AI

Автоматизация технологических и бизнес-процессов
. As of today, computer vision systems are continuously developing and systematically improving. Machines see visual content in the form of numbers, in which each pixel represents its own piece of information.
V. Vodyanitskyi, V. Yuskovych-Zhukovska
doaj   +1 more source

Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes

Advanced Materials, EarlyView.
A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu, Yue Li, Tian Xie, Arafat Hossain Khan, Fengzhan Sun, Zhao Li, Lingyue Liu, Zhaohui Yang, Xinlong Xie, Huayu Qiu, Quanquan Guo, Tian Sun, Xingyuan Chu, Jingwei Du, Jianxin Zou, Xinliang Feng, Minghao Yu   +16 more
wiley   +1 more source

Identifying people’s energy information needs through Energy Citizen Personas

Energy Informatics
Energy Citizenship refers to individuals and communities participating, sometimes begrudgingly, in adopting energy solutions, whether sustainable or not. When enacted positively, it advances the green energy transition.
Ajesh Kumar, Toni Kuronen, Bilal Naqvi, Salla Annala, Lasse Lensu, Martina Massari, Saveria Olga Murielle Boulanger, Annika Wolff   +7 more
doaj   +1 more source

Investigating Nuisance Factors in Face Recognition with DCNN Representation

, 2017
Deep learning based approaches proved to be dramatically effective to address many computer vision applications, including ``face recognition in the wild''.
LISANTI, GIUSEPPE, Alberto Del Bimbo, Del Bimbo, Alberto, Claudio Ferrari, Berretti, Stefano, Giuseppe Lisanti, Ferrari, Claudio, Stefano Berretti   +7 more
core   +1 more source

Demagnetization‐Driven Nanoscale Chirality‐Selective Phonon Transport

Advanced Materials, EarlyView.
Chiral heat flow is switched in a ferromagnet/chiral α‐SiO2 heterostructure by controlling the angular momentum of demagnetization‐driven chiral phonons. When phonon handedness matches the crystal chirality, nanoscale thermal transport is enhanced; the opposite handedness suppresses transport, establishing a magnetization‐tunable chiral phonon diode ...
In Hyeok Choi, Daeheon Kim, Yeon Jong Jin, Seungmo Yang, Tae‐Seong Ju, Changsoo Kim, Chanyong Hwang, Dongbin Shin, Jong Seok Lee   +8 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source