Results 161 to 170 of about 546,227 (357)

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

Proceedings 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, Shakhriyor Daminov, Choriyor Jonuzoqov   +2 more
doaj   +1 more source

Estimating complexity of programs in Python language

Tehnički vjesnik, 2011
U ovom radu formulirana je metrička složenost za jezik Python. Budući je Python objektno orijentiran jezik, postojeća metričnost je u stanju procijeniti bilo koji objektno usmjeren jezik. Potvrđujemo našu metričnost studijom slučaja, usporednom studijom i empirijskom provjerom valjanosti.
Misra, Sanjay, Cafer, Ferid
openaire   +1 more source

Ternary Content Addressable Memory with In–Ga–Zn–O Thin‐Film Transistor Technology for Enhanced Uniformity and Endurance in Efficient Distance‐Based Algorithm Acceleration

Advanced Intelligent Systems, EarlyView.
Ternary content addressable memory based on InGaZnO transistors is fabricated and its performance is evaluated through simulations for various distance‐based computing applications. Due to its high areal density, enhanced switching characteristics, and uniformity compared to other data similarity‐computing hardware candidates, the proposed memory is
Hyeong Jun Seo, Kanghyeon Byun, Minseung Kang, Youngchae Roh, Changhoon Joe, Sangbum Kim   +5 more
wiley   +1 more source

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

Code4Lib 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  

On‐Device Brain Tumor Classification from MR Images Using Smartphone

Advanced Intelligent Systems, EarlyView.
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun, Merve Bulbul, Gozde Yolcu Oztel, Veysel Harun Sahin   +3 more
wiley   +1 more source

Symbolic Reservoir Computing within Memristive Crossbar Arrays as a Cellular Automata

Advanced Intelligent Systems, EarlyView.
In quest of a neuro‐symbolic system with both strong intelligent computing capability and better explainability, a memristor crossbar array‐based cellular automata (symbolic model) for reservoir computing (neural network) is proposed and experimentally demonstrated using an algorithm–hardware codesign approach.
Yunpeng Guo, Chenfei Miao, Xinxin Wang, Xue Liu, Cheng Ma, Lidan Wang, Shukai Duan, Wenrui Duan, Huanglong Li   +8 more
wiley   +1 more source

BiT‐HyMLPKANClassifier: A Hybrid Deep Learning Framework for Human Peripheral Blood Cell Classification Using Big Transfer Models and Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley   +1 more source

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

Advanced 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, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Heterogeneous network management through the implementation of a topology using the python programming language and software-defined networking technology

, 2018
Philip Floriano Rodrigues Ramkeerat, Kleber Bittencourt Oliveira, Vanise dos Santos Rodrigues, Charles de Freitas Guimarães, Greyce dos Santos Rodrigues   +4 more
openalex   +1 more source

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

Advanced 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, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source