Results 121 to 130 of about 957,081 (355)
Pattern recognition for automated die bonding
published_or_final_version ; Electrical Engineering ; Master ; Master of ...
openaire +2 more sources
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Automated Quantitative Description of Spiral Galaxy Arm-Segment Structure [PDF]
We describe a system for the automatic quantification of structure in spiral galaxies. This enables translation of sky survey images into data needed to help address fundamental astrophysical questions such as the origin of spiral structure---a ...
Davis, Darren, Hayes, Wayne
core
Automated Synchronization of Driving Data Using Vibration and Steering Events
We propose a method for automated synchronization of vehicle sensors useful for the study of multi-modal driver behavior and for the design of advanced driver assistance systems. Multi-sensor decision fusion relies on synchronized data streams in (1) the
Abdić, Irman+5 more
core +1 more source
Abstract Purpose Single‐isocenter multitarget (SIMT) radiosurgery has become increasingly popular as advancement in planning and delivery systems have made this approach clinically viable. With targets varying in size and distance from isocenter, SIMT plans are highly complex with dynamic multileaf collimator (MLC) motion.
Hem Moktan+3 more
wiley +1 more source
Detection of perfusion ROI as a quality control in perfusion analysis [PDF]
In perfusion analysis automated approaches for image processing is preferable due to reduce time-consuming tasks for radiologists. Assessment of perfusion results quality is important step in development of algorithms for automated processing. One of them is an assessment of perfusion maps quality based on detection of perfusion ROI.
arxiv
Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach [PDF]
Pattern recognition algorithms offer a promising approach to recognizing bat species by their echolocation calls. Automated systems like synergetic classifiers may contribute significantly to operator-independent species identification in the field ...
Boesch, Ruedi+2 more
core
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source
FROM SPEED PROFILE DATA TO ANALYSIS OF BEHAVIOUR
Classification of speed profiles is necessary to allow interpretation of automatic speed measurements in terms of road user behaviour. Aggregation without considering variation in individual profile shapes easily leads to aggregation bias, while ...
Aliaksei LAURESHYN
doaj +1 more source
Differentiating malware from cleanware using behavioural analysis
This paper proposes a scalable approach for distinguishing malicious files from clean files by investigating the behavioural features using logs of various API calls.
Batten, Lynn+3 more
core +1 more source