Results 91 to 100 of about 50,493 (253)

The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos [PDF]

, 2018
This tech report gives an introduction to two annotation toolboxes that enable the creation of pixel and polygon-based masks as well as bounding boxes around objects of interest.
Bahnsen, Chris H., Moeslund, Thomas B., Møgelmose, Andreas   +2 more
core   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

Food Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Emotion Recognition using OpenCV

International Journal of Engineering and Advanced Technology, 2019
The human face plays a pivotal role in identifying emotions, regardless of subject-independent features. For human-computer interaction, facial expressions form a platform for non-verbal communication. In this regard, a system which detects and analyses facial expressions, needs to be robust enough to account for human faces having multiple variability
P.S.R.V Aditya, P Dinesh Sai, Purvaja Varati, R Rohan Singh   +3 more
openaire   +1 more source

Stereoscopic Brightness Roll‐Off in Augmented Reality

Journal of the Society for Information Display, EarlyView.
The increasing demand for power‐efficient immersive augmented reality (AR) displays has led to a growing need for effective power‐saving strategies. Here, the authors investigate for the first time the stereoscopic effectiveness of brightness roll‐off (BRO) for perceptually‐optimized power savings in AR.
Domenic Au, Xiuyun Wu, Nava Aghdasi, Yuta Asano, T. Scott Murdison   +4 more
wiley   +1 more source

Redistribution of Paid Channels Freely by Modifying Live Video

Journal of Advances in Information Technology, 2010
In digital television (DTV) broadcasting, service providers charge subscribing fee by scrambling the program with conditional access system as well as control the illegal receiving the charged program. If with any trick or method any local cable operator
Prem Shanker Yadav, Manuj Darbari
doaj   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

Limnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak, Garrett Staines, Blerim Abdullai   +2 more
wiley   +1 more source

Exploration of Therapeutic Targets Using CDK4 Inhibitors for Head and Neck Mucosal Melanoma

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Mucosal melanoma (MM) is an extremely aggressive malignant tumor in the head and neck region associated with a poor prognosis. In the present study, we conducted cell proliferation assay and western blotting using cell lines derived from MM and the immunohistochemical analysis of pathological MM tissues to identify novel therapeutic ...
Takayoshi Hattori, Makiko Fujii, Tsutomu Ueda, Akira Ishikawa, Yuichi Mine, Bingwen Xu, Tomoya Suehiro, Minoru Hattori, Hiroaki Tahara, Yuki Sato, Nobuyuki Chikuie, Takayuki Taruya, Takao Hamamoto, Takashi Ishino, Sachio Takeno   +14 more
wiley   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

ChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang, Yuncheng Yu, Jyh‐Charn Liu   +2 more
wiley   +1 more source

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

Pest Management Science, EarlyView.
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei, Maria C. Boukouvala, Gianluca Manduca, Nickolas G. Kavallieratos, Filippo Maggi, Marta Ferrati, Eleonora Spinozzi, Cesare Stefanini, Antonio DeSimone, Donato Romano   +9 more
wiley   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source