Ajith Abraham

ORCID: 0000-0002-0169-6738
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About
Contact & Profiles
Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Neural Networks and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Fuzzy Logic and Control Systems
  • Network Security and Intrusion Detection
  • Distributed and Parallel Computing Systems
  • Cloud Computing and Resource Management
  • Data Mining Algorithms and Applications
  • Rough Sets and Fuzzy Logic
  • Advanced Malware Detection Techniques
  • Stock Market Forecasting Methods
  • Anomaly Detection Techniques and Applications
  • Multi-Criteria Decision Making
  • IoT and Edge/Fog Computing
  • Image Retrieval and Classification Techniques
  • Energy Load and Power Forecasting
  • Energy Efficient Wireless Sensor Networks
  • Face and Expression Recognition
  • Advanced Steganography and Watermarking Techniques
  • Vehicle Routing Optimization Methods
  • Caching and Content Delivery
  • Artificial Immune Systems Applications
  • Advanced Clustering Algorithms Research
  • Web Data Mining and Analysis

Machine Intelligence Research Labs
2015-2024

Bennett University
2023-2024

Innopolis University
2021-2024

Bells University of Technology
2024

Rhodes University
2024

Flame University
2023

Office of the Director
2022

National Institute of Technology Rourkela
2022

Vilnius Gediminas Technical University
2021

Vellore Institute of Technology University
2021

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. It has reportedly outperformed few evolutionary algorithms (EAs) other search heuristics like the particle swarm (PSO) when tested both benchmark real-world problems. DE, however, not completely free from problems of slow and/or premature convergence. This paper describes...

10.1109/tevc.2008.2009457 article EN IEEE Transactions on Evolutionary Computation 2009-06-01

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics current interest. This paper describes an application DE to automatic clustering large unlabeled data sets. In contrast most existing techniques, proposed algorithm requires no prior knowledge be classified. Rather, it determines optimal number partitions "on run." Superiority new method is...

10.1109/tsmca.2007.909595 article EN IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 2007-12-20

Particle Swarm Optimization is a popular heuristic search algorithm which inspired by the social learning of birds or fishes. It swarm intelligence technique for optimization developed Eberhart and Kennedy [1] in 1995. Inertia weight an important parameter PSO, significantly affects convergence exploration-exploitation trade-off PSO process. Since inception Weight large number variations strategy have been proposed. In order to propose one more than strategies are efficient others, this...

10.1109/nabic.2011.6089659 article EN 2011-10-01

10.1016/j.engappai.2018.11.007 article EN Engineering Applications of Artificial Intelligence 2018-12-12

10.1016/j.jnca.2004.01.003 article EN Journal of Network and Computer Applications 2004-02-06

10.1016/j.future.2009.11.005 article EN Future Generation Computer Systems 2009-12-05

ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes data. In this article, leading scientists, researchers engineers discuss the transformative effects ChatGPT modern education. This research seeks improve our knowledge capabilities its use in education sector, identifying potential concerns challenges. Our preliminary evaluation concludes that performed differently each subject area including finance, coding maths. While has...

10.1016/j.iotcps.2023.06.002 article EN cc-by Internet of Things and Cyber-Physical Systems 2023-06-19

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas, without giving credit its originator. This paper presents a new taxonomy plagiarism that highlights differences between literal and intelligent plagiarism, the plagiarist's behavioral point view. The supports deep understanding linguistic patterns in committing for example, changing into semantically equivalent but with words organization, shortening concept generalization specification, ideas...

10.1109/tsmcc.2011.2134847 article EN IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) 2011-05-13

10.1016/j.eswa.2010.07.112 article EN Expert Systems with Applications 2010-08-05

This brief considers the problem of trajectory tracking control for marine surface vessels with unknown time-variant environmental disturbances. The adopted mathematical model ship movement includes Coriolis and centripetal matrix nonlinear damping terms. An observer is constructed to provide an estimation disturbances applied design a novel robust controller through vectorial backstepping technique. It proved that designed can force track arbitrary reference guarantee all signals...

10.1109/tcst.2013.2281936 article EN IEEE Transactions on Control Systems Technology 2013-10-01
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