keyword
MENU ▼
Read by QxMD icon Read
search

artificial intelligence

keyword
https://www.readbyqxmd.com/read/28333051/artificial-intelligence-based-model-for-optimization-of-cod-removal-efficiency-of-an-up-flow-anaerobic-sludge-blanket-reactor-in-the-saline-wastewater-treatment
#1
Alain R Picos-Benítez, Juan D López-Hincapié, Abraham U Chávez-Ramírez, Adrián Rodríguez-García
The complex non-linear behavior presented in the biological treatment of wastewater requires an accurate model to predict the system performance. This study evaluates the effectiveness of an artificial intelligence (AI) model, based on the combination of artificial neural networks (ANNs) and genetic algorithms (GAs), to find the optimum performance of an up-flow anaerobic sludge blanket reactor (UASB) for saline wastewater treatment. Chemical oxygen demand (COD) removal was predicted using conductivity, organic loading rate (OLR) and temperature as input variables...
March 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
https://www.readbyqxmd.com/read/28332823/from-dual-mode-triboelectric-nanogenerator-to-smart-tactile-sensor-a-multiplexing-design
#2
Tao Li, Jingdian Zou, Fei Xing, Meng Zhang, Xia Cao, Ning Wang, Zhong Lin Wang
Triboelectric nanogenerators (TENGs) can be applied for the next generation of artificial intelligent products, where skin-like tactile sensing advances the ability of robotics to feel and interpret environment. In this paper, a flexible and thin tactile sensor was developed on the basis of dual-mode TENGs. The effective transduction of touch and pressure stimulus into independent and interpretable electrical signals permits the instantaneous sensing of location and pressure with a plane resolution of 2 mm, a high-pressure-sensing sensitivity up to 28 mV·N(-1), and a linear pressure detection ranging from 40 to 140 N...
March 23, 2017: ACS Nano
https://www.readbyqxmd.com/read/28326656/skin-cancer-diagnosed-by-using-artificial-intelligence-on-clinical-images
#3
Isaäc van der Waal
In a recent Research Letter in Nature an automated classification of a few selected skin lesions has been published, using a deep convolutional neural network (CNN) (Esteva et al, 2017). Convolutional neural network is an important innovation in the field of computer vision. A popular use is for image processing, e.g. applied in face recognition. In the reported study CNN has been applied to a dataset of almost 130,000 clinical images, including some 3,000 dermoscopic images. This article is protected by copyright...
March 22, 2017: Oral Diseases
https://www.readbyqxmd.com/read/28325604/early-prediction-of-radiotherapy-induced-parotid-shrinkage-and-toxicity-based-on-ct-radiomics-and-fuzzy-classification
#4
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the prediction is obtained timely, before or during the early phase of treatment. Artificial intelligence can address the problem, by learning from examples and building classification models. In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers...
March 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#5
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28321856/automation-is-it-really-different-this-time
#6
REVIEW
Judy Wajcman
This review examines several recent books that deal with the impact of automation and robotics on the future of jobs. Most books in this genre predict that the current phase of digital technology will create massive job loss in an unprecedented way, that is, that this wave of automation is different from previous waves. Uniquely digital technology is said to automate professional occupations for the first time. This review critically examines these claims, puncturing some of the hyperbole about automation, robotics and Artificial Intelligence...
March 2017: British Journal of Sociology
https://www.readbyqxmd.com/read/28298701/identification-of-probabilities
#7
Paul M B Vitányi, Nick Chater
Within psychology, neuroscience and artificial intelligence, there has been increasing interest in the proposal that the brain builds probabilistic models of sensory and linguistic input: that is, to infer a probabilistic model from a sample. The practical problems of such inference are substantial: the brain has limited data and restricted computational resources. But there is a more fundamental question: is the problem of inferring a probabilistic model from a sample possible even in principle? We explore this question and find some surprisingly positive and general results...
February 2017: Journal of Mathematical Psychology
https://www.readbyqxmd.com/read/28292907/overcoming-catastrophic-forgetting-in-neural-networks
#8
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell
The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature of connectionist models. We show that it is possible to overcome this limitation and train networks that can maintain expertise on tasks that they have not experienced for a long time. Our approach remembers old tasks by selectively slowing down learning on the weights important for those tasks...
March 14, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28287448/real-time-digital-signal-processing-based-on-fpgas-for-electronic-skin-implementation-%C3%A2
#9
Ali Ibrahim, Paolo Gastaldo, Hussein Chible, Maurizio Valle
Enabling touch-sensing capability would help appliances understand interaction behaviors with their surroundings. Many recent studies are focusing on the development of electronic skin because of its necessity in various application domains, namely autonomous artificial intelligence (e.g., robots), biomedical instrumentation, and replacement prosthetic devices. An essential task of the electronic skin system is to locally process the tactile data and send structured information either to mimic human skin or to respond to the application demands...
March 10, 2017: Sensors
https://www.readbyqxmd.com/read/28285459/a-critical-review-for-developing-accurate-and-dynamic-predictive-models-using-machine-learning-methods-in-medicine-and-health-care
#10
Hamdan O Alanazi, Abdul Hanan Abdullah, Kashif Naseer Qureshi
Recently, Artificial Intelligence (AI) has been used widely in medicine and health care sector. In machine learning, the classification or prediction is a major field of AI. Today, the study of existing predictive models based on machine learning methods is extremely active. Doctors need accurate predictions for the outcomes of their patients' diseases. In addition, for accurate predictions, timing is another significant factor that influences treatment decisions. In this paper, existing predictive models in medicine and health care have critically reviewed...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28280505/advanced-interval-type-2-fuzzy-sliding-mode-control-for-robot-manipulator
#11
Ji-Hwan Hwang, Young-Chang Kang, Jong-Wook Park, Dong W Kim
In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2 fuzzy system, sliding mode controller is designed, respectively. The tuning algorithms are derived in the sense of Lyapunov stability theorem...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28279828/intelligent-evaluation-of-color-sensory-quality-of-black-tea-by-visible-near-infrared-spectroscopy-technology-a-comparison-of-spectra-and-color-data-information
#12
Qin Ouyang, Yan Liu, Quansheng Chen, Zhengzhu Zhang, Jiewen Zhao, Zhiming Guo, Hang Gu
Instrumental test of black tea samples instead of human panel test is attracting massive attention recently. This study focused on an investigation of the feasibility for estimation of the color sensory quality of black tea samples using the VIS-NIR spectroscopy technique, comparing the performances of models based on the spectra and color information. In model calibration, the variables were first selected by genetic algorithm (GA); then the nonlinear back propagation-artificial neural network (BPANN) models were established based on the optimal variables...
March 3, 2017: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/28277516/artificial-intelligence-algorithm-masters-poker
#13
(no author information available yet)
No abstract text is available yet for this article.
March 8, 2017: Nature
https://www.readbyqxmd.com/read/28268373/automated-transepithelial-electrical-resistance-measurements-of-the-epiderm-reconstructed-human-epidermis-model
#14
Frank A Alexander, Joachim Wiest
Understanding the effect of exogenous substances on human skin is critical for toxicology assessment. To address this, numerous artificial models of the topmost layer of human skin, so-called reconstructed human epidermis (RhE), have been created in an attempt to produce a clear analogue for testing. Unfortunately, current testing modalities still rely on endpoint assays and are not capable of monitoring time-resolved changes in barrier function without using numerous redundant samples. In this work, a novel, time-resolved approach is realized by monitoring the transepithelial electrical resistance (TEER) of MatTek EpiDerm® reconstructed human epidermis model, utilizing an automated protocol with the Intelligent Mobile Lab for in vitro diagnostics (IMOLA-IVD)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28265506/immediate-effects-of-eva-midsole-resilience-and-upper-shoe-structure-on-running-biomechanics-a-machine-learning-approach
#15
Andrea N Onodera, Wilson P Gavião Neto, Maria Isabel Roveri, Wagner R Oliveira, Isabel Cn Sacco
BACKGROUND: Resilience of midsole material and the upper structure of the shoe are conceptual characteristics that can interfere in running biomechanics patterns. Artificial intelligence techniques can capture features from the entire waveform, adding new perspective for biomechanical analysis. This study tested the influence of shoe midsole resilience and upper structure on running kinematics and kinetics of non-professional runners by using feature selection, information gain, and artificial neural network analysis...
2017: PeerJ
https://www.readbyqxmd.com/read/28263386/artificial-intelligence-platform-for-oncology-could-assist-in-treatment-decisions
#16
Carrie Printz
No abstract text is available yet for this article.
May 15, 2017: Cancer
https://www.readbyqxmd.com/read/28254783/deepstack-expert-level-artificial-intelligence-in-heads-up-no-limit-poker
#17
Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling
Artificial intelligence has seen several breakthroughs in recent years, with games often serving as milestones. A common feature of these games is that players have perfect information. Poker is the quintessential game of imperfect information, and a longstanding challenge problem in artificial intelligence. We introduce DeepStack, an algorithm for imperfect information settings. It combines recursive reasoning to handle information asymmetry, decomposition to focus computation on the relevant decision, and a form of intuition that is automatically learned from self-play using deep learning...
March 2, 2017: Science
https://www.readbyqxmd.com/read/28254495/an-artificial-intelligence-framework-for-compensating-transgressions-and-its-application-to-diet-management
#18
Luca Anselma, Alessandro Mazzei, Franco De Michieli
Today, there is considerable interest in personal healthcare. The pervasiveness of technology allows to precisely track human behavior; however, when dealing with the development of an intelligent assistant exploiting data acquired through such technologies, a critical issue has to be taken into account; namely, that of supporting the user in the event of any transgression with respect to the optimal behavior. In this paper we present a reasoning framework based on Simple Temporal Problems that can be applied to a general class of problems,, which we called "cake&carrot problems", to support reasoning in presence of human transgression...
February 27, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28251908/turning-skin-check-into-checkmate
#19
Hadar Lev-Tov
Artificial intelligence algorithm performs on par with dermatologists to distinguish malignant from benign skin tumors.
March 1, 2017: Science Translational Medicine
https://www.readbyqxmd.com/read/28250187/strategies-for-sustainable-management-of-renewable-resources-during-environmental-change
#20
Emilie Lindkvist, Örjan Ekeberg, Jon Norberg
As a consequence of global environmental change, management strategies that can deal with unexpected change in resource dynamics are becoming increasingly important. In this paper we undertake a novel approach to studying resource growth problems using a computational form of adaptive management to find optimal strategies for prevalent natural resource management dilemmas. We scrutinize adaptive management, or learning-by-doing, to better understand how to simultaneously manage and learn about a system when its dynamics are unknown...
March 15, 2017: Proceedings. Biological Sciences
keyword
keyword
6207
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"