M. A. H. Akhand, Safial Islam Ayon, Shaikh Akib Shahriyar, Nazmul Siddique et al.
Meta-heuristic algorithms inspired by biological species have become very popular in recent years. Collective intelligence of various social insects such as ants, bees, wasps, termites, birds, fish, has been investigated to develop a number of meta-heuristic algorithms in the general domain of swarm...
Iftekher Toufique Imam, Yamin Arafat, Kazi Saeed Alam, Shaikh Akib Shahriyar
With the rapid growth in the sector of information technology and easy access to cheap and advanced office instruments in the market, the faking of important documents has become a matter of concern nowadays. Therefore, the need for verification and authentication practices of various important docu...
Sudipta Roy, Shaikh Akib Shahriyar, Md. Asaf-Uddowla, Kazi Md. Rokibul Alam et al.
In this paper, a novel model for encrypting text messages using time varying delayed Hopfield neural network and a posterior DNA cryptographic model is proposed. The chaotic neural network applied here is used to generate a binary sequence which is later passed to a permutation function and generate...
Safial Islam Ayon, M. A. H. Akhand, Shaikh Akib Shahriyar, Nazmul Siddique
Traveling Salesman Problem (TSP) is the most well-known combinatorial optimization real-world problem. TSP is also very popular to check proficiency in any newly developed optimization method. In addition, the optimization methods, which are developed for other tasks (e. g., numerical optimization),...
Shaikh Akib Shahriyar, M. A. H. Akhand, Nazmul Siddique, Tetsuya Shimamura
Speech signals are complex in nature with respect to other forms of communication media such as text or image. Different forms of noises (e.g., additive noise, channel noise, babble noise) interfere with the speech signals and drastically hamper the quality of the speech in the noisy speech signals....
M. I. R. Shuvo, Shaikh Akib Shahriyar, M. A. H. Akhand
Speech recognition is a process where an acoustic signal is converted to text or words or commands and recognizing the speech. In this paper, a Bangla numeral recognition system from the speech signal is developed utilizing Convolutional Neural Network (CNN). In the proposed system, a speech dataset...
Shaikh Akib Shahriyar, Kazi Md. Rokibul Alam, Sudipta Roy, Yasuhiko Morimoto
Single label image classification has been promisingly demonstrated using Convolutional Neural Network (CNN). However, how this CNN will fit for multi-label images is still difficult to solve. It is mainly difficult due to lack of multi-label training image data and high complexity of latent obj ect...
Anas Basalamah, Mahedi Hasan, Shovan Bhowmik, Shaikh Akib Shahriyar
The recognition of pathological voice is considered a difficult task for speech analysis. Moreover, otolaryngologists needed to rely on oral communication with patients to discover traces of voice pathologies like dysphonia that are caused by voice alteration of vocal folds and their accuracy is bet...
Raisa Tahsin, Mahmudul Hasan Mozumder, Shaikh Akib Shahriyar, Md. Abdus Salim Mollah
The upward trend of communication through emails has made the task of handling mails efficiently very vital. As the number of email users is growing considerably each day, the volume of mails to each user is also enlarging. It mostly requires an intelligent classification system for multi-folder cat...
Shaikh Akib Shahriyar, Md. Asaf-uddowla Golap, Muhammad Sheikh Sadi
Soft errors hamper reliability of modern electronic circuits. In critical application areas, demand of safety against soft errors is increasing. Several methods have been developed to provide such error free environment in modern systems. The use of Golay code, and BCH codes are some of the top most...
Shaikh Akib Shahriyar, Shovan Bhowmik, Mahedi Hasan