Pattern mining technique derived ant colony optimization for document information retrieval

K Thirugnanasambandam, R Anitha, V Enireddy… - Journal of Ambient …, 2021 - Springer
Abstract Information retrieval is defining a structured knowledge from unstructured resource
that satisfies the information needed from large collection of resources. document …

Patron–Prophet Artificial Bee Colony Approach for Solving Numerical Continuous Optimization Problems

K Thirugnanasambandam, R Ramalingam, D Mohan… - Axioms, 2022 - mdpi.com
The swarm-based Artificial Bee Colony (ABC) algorithm has a significant range of
applications and is competent, compared to other algorithms, regarding many optimization …

Multi-objective binary reinforced cuckoo search algorithm for solving connected coverage target based WSN with critical targets

K Thirugnanasambandam, RS Raghav… - Wireless Personal …, 2021 - Springer
In the stream of WSN, covering the targets using sensors and communication among the
sensors to forward the data packets is a prime challenge due to the sparse target locations …

Novel fuzzy logic expert system-based edge detection for X-ray images

K Thirugnanasambandam, U Prabu, D Mahto… - Soft Computing, 2023 - Springer
Edge detection is an essential computer vision phenomenon that is useful for contour
detection and in turn it is useful for acquiring vital information. There are a variety of images …

Identifying Lethal Effects and Risk Level Using an Improved Classification Technique

V Deepak, P Srividdhya, M Muthumari… - 2021 Third …, 2021 - ieeexplore.ieee.org
Diabetes is one in all the foremost lethal diseases within the world. Diabetes is categorized
into two types; they are Type 1 and Type 2. Type 1 diabetes usually occurs in adolescence …

Multi-objective swarm-based model for deploying virtual machines on cloud physical servers

D Saravanan, R Rajakumar, M Sreedevi… - Distributed and Parallel …, 2023 - Springer
The physical cloud servers consists of n number of machines for serving the requirements
posted via Virtual Machines by the users. The allocation of requested Virtual Machines to …

Bitcoin price prediction using optimized multiplicative long short term memory with attention mechanism using modified cuckoo search optimization

AA Shahul Hameed, C Ravi - Concurrency and Computation …, 2022 - Wiley Online Library
For the past few years, Bitcoin plays a vital role in both the economical and financial
industries. In order to gain a huge return on investment, the investors are eager to forecast …

An approach of statement compression using classifier algorithm with improved efficiency

V Deepak, V Sharmila, B Natarajan… - … on Electronics and …, 2021 - ieeexplore.ieee.org
Sentence compression is the task of diminishing the length of the sentence without changing
the real meaning of the sentence. In common such as natural language handling sentence …

Detection of Sarcasm Using Bi-Directional RNN Based Deep Learning Model in Sentiment Analysis

MM Krishna, J Vankara - Journal of Advanced Research in …, 2023 - semarakilmu.com.my
Detecting sarcasm in text can be challenging, but it's an opportunity to exercise the ability to
consider various perspectives and aspects. Considering multiple viewpoints while analysing …

Hybridization of Modified Cuckoo-Moth Flame Optimization for Effective Route Recovery of Networks

SK Patnala, V Rachapudi, SA Devi, SR Pappu… - Advances in Micro …, 2022 - Springer
In the mobile ad-hoc networks (MANETS), route failure is one of the reasons for route
rediscovery, and the route failure may be caused by frequent mobility of nodes. The route …