In this paper, the process of spam categorization based on character level; content-based approach has been demonstrated. Spam categorization has been performed by using N-gram technique. The general technique of using N-grams on words, creating a “Bag of Words” representation of documents,...

This paper presents a robust and imperceptible methodology of watermark embedding. It uses two vital techniques, firstly the Multi-Resolution Singular Value Decomposition (MR-SVD) and an image adaptive algorithm on the lines of the human visual system (HVS), called Noise Visibility Function...

In present research, the authors examined how social media influencers affect the overall sentiment of a topic. To this end, they utilized supervised machine learning approach to develop SentiRobo for measuring the sentiment score of social media content. In the next stage, they studied social...

This paper demonstrates a novel local search approach based on an adaptive (time variant) search space index improving the exploration ability as well as diversity in multi-objective Particle Swarm Optimization. The novel strategy searches for the neighbourhood particles in a range which...

The Big Data, due to its complicated and diverse nature, poses a lot of challenges for extracting meaningful observations. This sought smart and efficient algorithms that can deal with computational complexity along with memory constraints out of their iterative behavior. This issue may be...

VANETs are enhanced and upgraded versions of mobile ad-hoc networks which are fruitful for intercommunication vehicles. Communication can be vehicle-to-vehicle and between vehicles to side-fixed equipment known as roadside equipment. This network is self-organized, highly dynamic but separated...

Although greedy algorithms are important, nowadays it is well assumed that the solutions they obtain can be used as a starting point for more sophisticated methods. This paper describes an evolutionary approach which is based on genetic algorithms (GA). A constructive heuristic, so-called fuzzy...

This paper applies various soft-computing control strategies for offline mode control of highly non-linear cart and pendulum system moving on an inclined surface. The surface is considered at inclination of 12° from horizontal. The study compares performance of four different control techniques...

Constant Instantaneous Power Control Strategy for extracting reference currents for shunt active power filters have been modified using Artificial Neural Network & Fuzzy logic control based controller and their performances have been compared. The acute analysis of Comparison of the compensation...

The main objective of this work is to develop an integrated system that is capable of extracting precise information (knowledge) based on any stored information using the techniques of data mining and soft computing. For the purpose of extracting precise information based on some stored...