Results 141 to 150 of about 169,850 (334)

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

open access: yesAdvanced Intelligent Systems, EarlyView.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Comparative analysis of PYTHON with other programming languages

open access: yesYearbook Telecommunications, 2019
The goal of this paper is to present a set of criteria for comparison of program languages and give arguments for their selection. With their help The Python language is compared with its competitors for different applications. As a result a methodology for the selection of a program language is developed, based on multi-criteria analysis.
openaire   +2 more sources

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

open access: yesAdvanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera   +2 more
wiley   +1 more source

Approaching the largest ‘API’: extracting information from the Internet with Python

open access: yesCode4Lib Journal, 2018
This article explores the need for libraries to algorithmically access and manipulate the world’s largest API: the Internet. The billions of pages on the ‘Internet API’ (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries
Jonathan E. Germann
doaj  

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

open access: yesAdvanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

The Critical Role of Programming Languages among Healthcare Data Scientists: A Systematic Review of Trends, Applications, and Future Directions [PDF]

open access: yesJournal of Social Behavior and Community Health
Background: Artificial intelligence (AI) and data science have transformed healthcare by enabling advanced analytical techniques. AI-driven solutions rely on sophisticated algorithms that require specialized programming languages.
Seyedeh Nahid Seyedhasani   +4 more
doaj  

Normalization of Time Losses in Sorting Station Operations Using a Python‑Based Instrumental Tool

open access: yesProceedings of the International Conference on Applied Innovations in IT
The study aims to reduce unproductive time losses in wagon flow processing at railway sorting stations using a Python-based software tool. The work used mathematical and graphical modeling, structural analysis, flowcharting, algorithm theory methods, and
Dilmurod Butunov   +2 more
doaj   +1 more source

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