„Deep Learning“

Suchergebnisse

10.000+ Treffer

• Combining transformer based deep reinforcement learning with Black-Litterman model for portfolio optimization
  Sun, Ruoyu ; Stefanidis, Angelos ; Jiang, Zhengyong ; Su, Jionglong
• Gene expression clock: an unsupervised deep learning approach for predicting circadian rhythmicity from whole genome expression
  Ansary Ogholbake, Aram ; Cheng, Qiang
• Enhancing epigraphy: a deep learning approach to recognize and analyze Tamil ancient inscriptions
  Bhuvaneswari, S. ; Kathiravan, K.
• A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection
  Chaudhry, Hafiza Ayesha Hoor ; Farid, Muhammad Shahid ; Fiandrotti, Attilio ; Grangetto, Marco
• A deep learning LSTM-based approach for AMD classification using OCT images
  Hamid, Laila ; Elnokrashy, Amgad ; Abdelhay, Ehab H. ; Abdelsalam, Mohamed M.
• Development of a non-destructive fruit quality assessment utilizing odour sensing, expert vision and deep learning algorithm
  Tan, Wei Keong ; Husin, Zulkifli ; Yasruddin, Muhammad Luqman ; Ismail, Muhammad Amir Hakim
• Recognizing salat activity using deep learning models via smartwatch sensors
  Vurgun, Yasin ; Kiran, Mustafa Servet
• Deep learning for prediction of cardiomegaly using chest X-rays
  Gupta, Mrigakshi ; Singh, Akash ; Kumar, Yatender
• Deep learning-based few-shot person re-identification from top-view RGB and depth images
  Abed, Almustafa ; Akrout, Belhassen ; Amous, Ikram
• A deep learning approach for evaluating the efficacy and accuracy of PoseNet for posture detection
  Singh, Gurinder ; George, Remya P. ; Ahmad, Nazia ; Hussain, Sajithunisa ; Ather, Danish ; Kler, Rajneesh
• Early-stage stroke prediction based on Parkinson and wrinkles using deep learning
  Haritha, T. ; Babu, A. V. Santhosh
• STCPU-Net: advanced U-shaped deep learning architecture based on Swin transformers and capsule neural network for brain tumor segmentation
  Aboussaleh, Ilyasse ; Riffi, Jamal ; Fazazy, Khalid El ; Mahraz, Adnane Mohamed ; Tairi, Hamid
• Stacked ensemble learning based on deep transfer learning models for food ingredient classification and food quality determination
  Keong, T. W. ; Husin, Z. ; Ismail, M. A. H. ; Yasruddin, M. L.
• CSMEC-based deep learning model for detection and classification of brain tumours in MR images
  Beaulah Princiba, D. ; Ezhilarasi, P. ; Rajeshkannan, S.
• Enhancing pneumonia detection with masked neural networks: a deep learning approach
  Gowri, L. ; Pradeepa, S. ; Panchada, Vamsi ; Amirtharajan, Rengarajan
• Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning
  Mamalakis, Michail ; Banerjee, Abhirup ; Ray, Surajit ; Wilkie, Craig ; Clayton, Richard H. ; Swift, Andrew J. ; Panoutsos, George ; Vorselaars, Bart
• SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time
  Mahmud, Abdullah Al ; Azam, Sami ; Khan, Inam Ullah ; Montaha, Sidratul ; Karim, Asif ; Haque, Aminul ; Zahid Hasan, Md ; Brady, Mark ; Biswas, Ritu ; Jonkman, Mirjam
• A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
  Natarajan, Krishnamoorthy ; Muthusamy, Suresh ; Sha, Mizaj Shabil ; Sadasivuni, Kishor Kumar ; Sekaran, Sreejith ; Charles Gnanakkan, Christober Asir Rajan ; Elngar, Ahmed A.
• Deep learning for ultrasound medical images: artificial life variant
  Karunanayake, Nalan ; Makhanov, Stanislav S.
• iSSL-AL: a deep active learning framework based on self-supervised learning for image classification
  Agha, Rand ; Mustafa, Ahmad M. ; Abuein, Qusai