Normalization of Time Losses in Sorting Station Operations Using a Python‑Based Instrumental Tool
Proceedings of the International Conference on Applied Innovations in ITThe 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
Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence
Advanced 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
The Critical Role of Programming Languages among Healthcare Data Scientists: A Systematic Review of Trends, Applications, and Future Directions [PDF]
Journal of Social Behavior and Community HealthBackground: 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
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
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 +6 more
wiley +1 more source
Valorization of the Python programming language and its basic implementation
, 2022 Olesea SÎRGHI
openalex +2 more sources
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 +2 more
wiley +1 more source
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
Advanced 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 Effect of Using Interactive Video on Enhancing Academic Achievement in Python Programming Language for First-Year Intermediate Female Students in the Digital Skills Course [PDF]
Anfal Alkhathami +2 more
openalex +1 more source