Editorial introduction: special issue on advances in parallel and distributed computing for neural computing

Faculty Computer Science Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Neural Computing and Applications springer Volume:
Keywords : Editorial introduction: special issue , advances , parallel    
Abstract:
In recent years, the popularity of neural computing (NC), machine learning (ML), and artificial intelligence (AI) has grown substantially. A lot of research was carried out in both academia and industry, and it was applied in many fields. For example, deep learning achieved superhuman performance in image classification. NC/ML/AI technologies were used very successfully to play games such as Chess, Go, Atari, and Jeopardy. In addition, many companies used AI and ML technology in areas such as health care, natural resource management, and advertisement.
   
     
 
       

Author Related Publications

  • Ahmed Salah Mohamed Mostafa, "Artificial Intelligence and Machine Learning-Driven Decision-Making", Hindawi, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Usages of Spark Framework with Different Machine Learning Algorithms", Hindawi, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Efficient index-independent approaches for the collective spatial keyword queries", elsevier, 2021 More
  • Ahmed Salah Mohamed Mostafa, "A robust UWSN handover prediction system using ensemble learning", MDPI, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods", Tech Science Press, 2021 More

Department Related Publications

  • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
  • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012 More
Tweet