Results 211 to 220 of about 553,685 (362)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Preparing for the European Health Data Space: an open-source compiler for fast, transparent, and portable health data transformations. [PDF]

Front Med (Lausanne)
Beyer S, Tanjga N, Kleinoscheg G, Hayn D, Donsa K, Kreiner K, Schreier G.   +6 more
europepmc   +1 more source

sEEG‐guided responsive neurostimulation to treat neocortical epilepsy: A multicenter retrospective study of the efficacy and safety of depth electrode‐mediated neuromodulation

Epilepsia Open, EarlyView.
Abstract Objectives Pivotal trials have established the effectiveness of the Responsive Neurostimulation System (RNS® System) in treating focal epilepsy. In clinical trials, depth leads were primarily used to treat mesial temporal seizure onsets while cortical strip leads were used to treat neocortical seizure onsets.
Sina Sadeghzadeh, David A. Purger, Priya Bhanot, Noriah Johnson, Daniel A. N. Barbosa, Yuhao Huang, Jay J. Park, Ethan Schonfeld, Matthew A. Abikenari, Bhav Jain, Joshua P. Aronson, Cornelia Drees, Tiffany L. Fisher, Jason Gerrard, Tyler E. Gray, Saadi Ghatan, Kevin Hines, Barbara C. Jobst, Ioannis Karakis, Steven G. Ojemann, Imran H. Quraishi, Ahmed M. Raslan, Michael D. Sather, Christopher T. Skidmore, Jon T. Willie, Chengyuan Wu, Ji Yeoun Yoo, Kevin D. Graber, Casey H. Halpern, Vivek P. Buch, Jonathon J. Parker   +30 more
wiley   +1 more source

medspacyV: a graphical user interface for the open source medspaCy natural language processing package. [PDF]

JAMIA Open
Velamala B, Sagheb Hossein Pour E, Lin M, Fan JW.   +3 more
europepmc   +1 more source

How applicable is Python as first computer language for teaching programming in a pre-university educational environment, from a teacher's point of view? [PDF]

, 2008
F. Georgatos
openalex   +1 more source

Deep Learning‐Based Fault Classification in Extra High Voltage Transmission Lines: A Comparative Study Using Simulated and Real‐Time Sequential Data

Energy Science &Engineering, EarlyView.
This study describes the performance of BiLSTM, GRU, and TCN as deep learning models for the detection and classification of faults in transmission lines through synthetic and real‐time sequential datasets of 500 kV transmission line between Jamshoro and Karachi (NKI), in Sindh, Pakistan.
Nadeem Ahmed Tunio, Ashfaq Ahmed Hashmani, Fatima Tul Zuhra, Mohammad R. Altimania, Hafiz Mudassir Munir, Ievgen Zaitsev   +5 more
wiley   +1 more source

A comparative study of AI and human programming on environmental sustainability. [PDF]

Sci Rep
Woo NH.
europepmc   +1 more source

Parallel computation of threads in the Python programming language

TRENDS IN THE DEVELOPMENT OF SCIENCE AND EDUCATION, 2020
L.M. SHavtikova, M.B. Tekeev
openaire   +1 more source

SETTING UP A LIBRARY OF MODULES IN THE PYTHON PROGRAMMING LANGUAGE TO ADDRESS ECONOMIC ISSUES

, 2023
M.Ibrohimova
openalex   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source