Neelakandan Subramani

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
ERP Insights and Truncated SVD in Conjunction with Dual-Tree Complex Wavelet Transform and Multi-View Hypergraph Neural Networks for Cognitive Distortion Analysis.
Int. J. Comput. Intell. Syst.
N. Banupriya, Neelakandan Subramani, Prakash Mohan, Velmurugan Sambath
2024 J jnl
Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model.
Expert Syst. Appl.
Deepak Kumar Jain, Xudong Zhao, Salvador García, Neelakandan Subramani
2024 J jnl
Slime Mold optimization with hybrid deep learning enabled crowd-counting approach in video surveillance.
Neural Comput. Appl.
Zheng Xu, Deepak Kumar Jain, Pourya Shamsolmoali, Alireza Goli, Neelakandan Subramani, Amar Jain
2024 — conf
Smart Contract-Driven Pandemic Management Using Blockchain Technology and Artificial Intelligence.
ICDM (Workshops)
Sathishkumar Veerappampalayam Easwaramoorthy, Neelakandan Subramani, Angela Siew-Hoong Lee
2024 J jnl
Three-dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm.
Expert Syst. J. Knowl. Eng.
Harshavardhan Awari, Neelakandan Subramani, Avanija Janagaraj, Geetha Balasubramaniapillai Thanammal, Jackulin Thangarasu, Rachna Kohar
2023 J jnl
A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis.
Big Data Cogn. Comput.
Neelakandan Subramani, Veerappampalayam Easwaramoorthy Sathishkumar, Prakash Mohan, Malliga Subramanian, Velmurugan Sambath
2023 J jnl
Deep learning enabled cross-lingual search with metaheuristic web based query optimization model for multi-document summarization.
Concurr. Comput. Pract. Exp.
Mahesh Gangathimmappa, Neelakandan Subramani, Velmurugan Sambath, Rengaraj Alias Muralidharan Ramanujam, Naresh Sammeta, Maheswari Marimuthu
2023 J jnl
Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare.
Inf. Sci.
Zhenwei Zhao, Xiaoming Li, Bing Luan, Weining Jiang, Weidong Gao, Neelakandan Subramani
2022 J jnl
An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks.
Sensors
Neelakandan Subramani, Prakash Mohan, Youseef Alotaibi, Saleh Alghamdi, Osamah Ibrahim Khalaf
2022 J jnl
Chaotic Search-and-Rescue-Optimization-Based Multi-Hop Data Transmission Protocol for Underwater Wireless Sensor Networks.
Sensors
Durairaj Anuradha, Neelakandan Subramani, Osamah Ibrahim Khalaf, Youseef Alotaibi, Saleh Alghamdi, Manjula Rajagopal
2022 J jnl
Controlling energy aware clustering and multihop routing protocol for IoT assisted wireless sensor networks.
Concurr. Comput. Pract. Exp.
Neelakandan Subramani, Santhosh Kumar Perumal, Jagadish Shivappa Kallimani, Sakthi Ulaganathan, Sanjay Bhargava, Sangeetha Meckanizi
2022 J jnl
Improved Metaheuristics-Based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks.
Sensors
Prakash Mohan, Neelakandan Subramani, Youseef Alotaibi, Saleh Alghamdi, Osamah Ibrahim Khalaf, Ulaganathan Sakthi
2022 J jnl
Metaheuristic Optimization-Based Resource Allocation Technique for Cybertwin-Driven 6G on IoE Environment.
IEEE Trans. Ind. Informatics
Deepak Kumar Jain, Sumarga Kumar Sah Tyagi, Neelakandan Subramani, Prakash Mohan, Natrayan Lakshmaiya
2021 J jnl
An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM.
Concurr. Eng. Res. Appl.
C. Pretty Diana Cyril, J. Rene Beulah, Neelakandan Subramani, Prakash Mohan, Awari Harshavardhan, D. Sivabalaselvamani
notebooks/redb-clickhouse.ipynb
← Index notebooks/redb-clickhouse.ipynb plaintext
Truncated preview: showing the first 16384 bytes out of 6598330 total.
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## REDB / Tables Creation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import clickhouse_connect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# ch_client = clickhouse_connect.get_client(host='localhost', port=8123, username='default', password='', database='reds')\n",
    "ch_PROD_client = clickhouse_connect.get_client(host='c.rationaledge.io', port=443, username='default', password='werioubTGwvf0-dsbv_', database='redb', verify=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'25.2.1.3085'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_PROD_client.server_version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'redb'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_PROD_client.command(\"\"\"\n",
    "SELECT currentDatabase()\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['a8abbfb125bed3606ab6e389c8511cf360a3d9dc6633268dd91b3769c04044a6',\n",
       " '\\\\n/* WARNING: This is an inlined function */\\\\n/* Library Function - Single Match\\\\n    __SEH_epilog4\\\\n   \\\\n   Library: Visual Studio */\\\\n\\\\nvoid __SEH_epilog4(void)\\\\n\\\\n{\\\\n  undefined4 *unaff_EBP;\\\\n  undefined4 unaff_retaddr;\\\\n  \\\\n  ExceptionList = (void *)unaff_EBP[-4];\\\\n  *unaff_EBP = unaff_retaddr;\\\\n  return;\\\\n}\\\\n\\\\n',\n",
       " '1387',\n",
       " 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