Faisal Ahmed, Hawlader Abdullah Al-Mamun, Amna Bari, Emam Hossain et al.
In most agricultural systems, one of the major concerns is to reduce the growth of weeds. In most cases, removal of the weed population in agricultural fields involves the application of chemical herbicides, which has had successes in increasing both crop productivity and quality. However, concerns ...
Faisal Ahmed, Amna Bari, ASM Shihavuddin, Hawlader Abdullah Al-Mamun et al.
Concerns regarding the environmental and economic impacts of excessive herbicide applications in agriculture have promoted interests in seeking alternative weed control strategies. In this context, an automated machine vision system that has the ability to differentiate between broadleaf and grass w...
Faisal Ahmed, A. S. M. Hossain Bari, Emam Hossain, Hawlader Abdullah Al-Mamun et al.
Abstract: In conventional cropping systems, removal of weed population tends to rely heavily on the application of chemical herbicides, which has had successes in attaining higher profitability. However, concerns regarding the adverse effects of excessive herbicide applications have prompted increas...
Golam Kibria, Taslima Islam, Muhammad Badiuzzaman, Abdullah Al Mamun et al.
OBJECTIVES: This study aimed to assess the desire for smoke-free housing, determine the choice of smoke-free policies for multiunit housing (MUH), and identify the factors associated with policy choice among MUH residents in Bangladesh. DESIGN: We conducted a cross-sectional study from April to Nove...
Md. Sowgat Ibne Mahmud, Md. Akhter Hosen, Md. Saroer-E-Azam, Md. Abdul Mottalib et al.
Multiple sequence alignment is one of the basic research areas in bioinformatics. In most cases while doing multiple sequence alignment, a totally unaligned set of sequences are used as an initial data. In this work, we have used Clustal X 2.0.11 program to process those initial data in some aligned...
Gazi Mohammad Shafiullah, Hawlader Abdullah Al-Mamun
Protein structural class prediction can play a vital role in protein 3-D structure prediction by reducing the search space of 3-D structure prediction algorithms. In this paper we used support vector machine to predict protein structural class solely based of its amino acid sequences, i.e. mainly α,...
Md. Abdul Mottalib, Md. Safiur Rahman Mahdi, Ahsanul Haque, S.M. Al Mamun et al.
Neural network is one of the successful methods for protein secondary structure prediction. Day to day this technology is modified, improved, even other methods also combined with it to get better result. In this paper we trained feed-forward neural network with trans-membrane protein for helix pred...