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Saha, Snehanshu

  1. A QoS aware Novel Probabilistic strategy for Dynamic Resource Allocation
    2015/03/24 by G Arun Kumar, Gajender Kumar, Snehanshu Saha +6 · 1 voice
    Computer Science · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #Peer-to-Peer Network Technologies #cs.DC
  2. Predicting the direction of stock market prices using random forest
    2016/04/29 by Khaidem, Luckyson, Saha, Snehanshu, Dey, Sudeepa Roy · 1 citation
    #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
  3. LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
    2019/02/20 by Yedida, Rahul, Saha, Snehanshu, Prashanth, Tejas · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. ChaosNet: A Chaos based Artificial Neural Network Architecture for\n Classification
    2019/10/06 by Aditi Kathpalia, Balakrishnan, Harikrishnan Nellippallil, Snehanshu Saha +4 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Chaos-based Image/Signal Encryption #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Fractal and DNA sequence analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  5. DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
    2023/11/03 by Ashman Mehra, Mehra, Ashman, Snehanshu Saha +5 · 1 citation
    Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Smart Parking Systems Research #Transportation and Mobility Innovations #Urban and Freight Transport Logistics
  6. A Granger-Causal Perspective on Gradient Descent with Application to Pruning
    2024/12/04 by Aditya Shah, Aditya Challa, Shah, Aditya +7 · 1 citation
    Engineering · Computer Science · #Manufacturing Process and Optimization #Advanced Measurement and Metrology Techniques #Neural Networks and Applications