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Image processing tasks has found a new dimension with the improvement of learning feature representation from images using deep networks. Most of the research works are conducted over pre-possessed image data in the lab. But, these methods fail in the real world scenario as most of the time the image required to classify is subject to noise and other disfigurement. For the last three decades, many...
Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel distances of vehicles to serve customers. Capacitated CVRP (CVRP) is the simplest form of VRP considering vehicle capacity constraint. Constructive and clustering are the two popular approaches to solve CVRP. A constructive approach creates routes and attempts to minimize the cost at the same time....
Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. Bangla is a major language in Indian subcontinent and is the first language of Bangladesh; but unfortunately, study regarding handwritten Bangla numeral recognition (HBNR) is very few with respect to other major languages such as English, Roman etc. Some noteworthy research works...
Face detection from a digital image or video stream is used often for various purposes. But sometimes a system detects an object or area as a face where there is no face at all. This paper presents a technique to reduce such wrong detection rate introducing human skin color (HSC) characteristic. The general property of human skin in RGB color space is that it possess R>G>B (i.e., red values...
Sign language is the only means of communication for deaf and dump people which uses manual communication and body language to convey meaning. For any sign language, an interpreter is essential to communicate with deaf and dump people. To enhance interaction with community, Sign Language Recognition (SLR) is a growing field of research now a days. The task of SLR is language specific and a number...
The Presence of unique restriction sites (URSs) within a sequence is very important so that the sequence may be cut unambiguously in exactly one place with a restriction enzyme. Restriction site manipulation in virus genome may produce virus variants to serve as potential vaccines. Therefore, a number of applications are invented for the manipulation of viral genomes to produce attenuated viruses...
Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high-dimensional complex task and existing methods use...
Decision in medical diagnosis is mostly taken by expert's experiences. In many cases, not all the expert's experiences contribute towards effective diagnosis of a disease. Researchers have taken multiple approaches like attribute reduction, rule extraction, fuzzy model optimization, etc. But noisy data in datasets, irrelevant attributes, and lack of effective fuzzy rules are major hindrances to provide...
Optimization includes finding best available values of some objective function given a defined domain. Function optimization (FO) is the well-studied continuous optimization task which aim is to find best suited parameter values to get optimal value of a function. A number of techniques have been investigated in last few decades to solve FO and recently Nature Inspired Algorithms (NIAs) become popular...
Neural network ensemble (NNE) has been shown to outperform single neural network (NN) in terms of generalization ability. The performance of NNE is therefore depends on well diversity among component NNs. Popular NNE methods, such as bagging and boosting, follow data sampling technique to achieve diversity. In such methods, NN is trained independently with a particular training set that is probabilistically...
Vehicle Routing Problem (VRP) has become an integral part in logistic operations which determines optimal routes for several vehicles to serve customers. The basic version of VRP is Capacitated VRP (CVRP) which considers equal capacities for all vehicles. The most popular way of solving CVRP is splitting the task into two different phases: firstly, assigning customers under different vehicles and...
In this paper, we have proposed a new hierarchical interconnection network called Tori-connected Flattened Butterfly Network (TFBN). It is a hierarchical interconnection network which is able to interconnect millions of nodes in the network to achieve high performance and cost-effective design for massively parallel computing system. TFBN consists of multiple basic modules of flattened butterfly network...
Capacitated Vehicle Routing Problem (CVRP) is a real life constrain satisfaction problem in which customers are optimally assign to individual vehicles (considering their capacity) to keep total travel distance of the vehicles as minimum as possible while serving customers. Various methods are investigated to solve CVRP in last few decades, the most popular way of solving CVRP is splitting the task...
An integrated portable device for continuous heart rate and body temperature monitoring system development is presented in this paper. Heart related diseases are increasing day by day; therefore, an accurate, affordable and portable heart rate and body temperature measuring device is essential for taking action in proper time. Such a device is more essential in a situation where there is no doctor...
Most of the Speech Recognition (SR) systems use Hidden Markov Model (HMM) for acoustic modeling and Gaussian Mixture Model (GMM) for state modeling. Artificial Neural Network (ANN) based methods are also found as a good replacement of GMMs in SR system development. This paper presents a method for Bangla SR using Deep Belief Network (DBN) which is probabilistic generative ANN composed by multiple...
In this study, we have investigated the recently proposed association detector method Maximal Information Coefficient (MIC) instead of Mutual Information (MI) in inferring Gene Regulatory Network (GRN). GRN plays an important role to understand the interactions and dependencies of genes in different conditions from gene expression data. An information theoretic GRN method first computes dependency...
A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. The combination of link selection and channel selection (LS+CS) algorithm improves the dynamic communication performance of the HTN by efficient use of physical links and virtual channels. In this paper,...
Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. Although Bangla is a major language in Indian subcontinent and is the first language of Bangladesh study regarding Bangla handwritten numeral recognition (BHNR) is very few with respect to other major languages such Roman. The existing BHNR methods uses distinct feature extraction...
Transportation network is a key issue for urban areas and is require to update to fulfill the growing demand modifying existing road(s) and/or constructing new road(s) considering various constraints. In general, transportation network design problem (TNDP) concerns optimal selection of several projects from various alternative proposed projects (with estimated costs) maintaining associated constraints...
Gene Regulatory Network (GRN) plays an important role to understand the interactions and dependencies of genes in different conditions from gene expression data. An information theoretic GRN method first computes dependency matrix from the given gene expression dataset using an entropy estimator and then infer network using individual inference method. A number of prominent methods use Mutual Information...
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