Results 111 to 120 of about 62,323 (300)
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
Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence
Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence provides a comprehensive overview of image processing methods and their integration with AI and computer vision. The book covers essential techniques such as filtering, segmentation, and feature extraction, alongside advanced algorithms like edge detection ...
openaire +2 more sources
Obstacle detection in aerodrome areas through the use of computer vision [PDF]
, 2010 This thesis addresses the problem of ground collisions between an aircraft and obstacles (including other aircraft) on the ramp and taxiway regions of an aireld.
Gauci, Jason
core
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 +3 more
wiley +1 more source
, 2007 Essig K. Vision-based image retrieval (VBIR) : a new eye-tracking based approach to efficient and intuitive image retrieval. Bielefeld (Germany): Bielefeld University; 2007.Die vorliegende Arbeit beschreibt einen neuen Ansatz für die inhaltsbasierte ...
Essig, Kai
core
An Inclusive review on deep learning techniques and their scope in handwriting recognition [PDF]
Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. These deep learning algorithms have demonstrated great results in different fields.
Sharma, Anuj +5 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 +7 more
wiley +1 more source
Feature extraction via heat flow analogy
, 2009 Feature extraction is an important field of image processing and computer vision. Features can be classified as low-level and high-level. Low-level features do not give shape information of the objects, where the popular low-level feature ...
Direkoğlu, Cem
core
Robot navigation control based on monocular images: An image processing algorithm for obstacle avoidance decisions [PDF]
, 2012 This paper covers the use of monocular vision to control autonomous navigation for a robot in a dynamically changing environment. The solution focused on using colour segmentation against a selected floor plane to distinctly separate obstacles from ...
Benn, W, Lauria, S
core
Advanced Materials, EarlyView.This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source