Hyderabad, Andhra Pradesh, India

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    ABSTRACT: In this paper we proposed reinforcement learning algorithms with the generalized reward function. In our proposed method we use Q-learning1 and SARSA1 algorithms with generalised reward function to train the reinforcement learning agent. We evaluated the performance of our proposed algorithms on Real Time Strategy (RTS) game called BattleCity. There are two main advantages of having such an approach as compared to other works in RTS. (1) We can ignore the concept of a simulator which is often game specific and is usually hard coded in any type of RTS games (2) our system can learn from interaction with any opponents and quickly change the strategy according to the opponents and do not need any human traces as used in previous works.
    Procedia Computer Science 12/2015; 54:257-264. DOI:10.1016/j.procs.2015.06.030
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    ABSTRACT: In this paper we proposed a novel method to acquire the ROI (Region of interest) from touchless palmprint captured from a web camera in real time. A new algorithm is used to find the candidate key points of hand roughly and quickly. An improved method is used to capture maximum ROI using these key points along with finger width to get maximum ROI of the palm. The results show that approach is robust and efficient in color palmprint images which are acquired in different lighting conditions, cluttered background, different palm orientation and scaling effect.
    Procedia Computer Science 12/2015; 54:799-808. DOI:10.1016/j.procs.2015.06.094
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    ABSTRACT: Abiotic stresses affect the yield of crop plants worldwide. Plant species have evolved in such a way that they are able cope up with these stresses to a certain extent. For further increases in yield and productivity in plants under stress conditions, there is a need to understand the mechanisms and the genes involved in their stress signaling and the information so generated can be utilized in abiotic stress improvement in crops. Brassica species and their different morphotypes are used worldwide as vegetables and oilseed crops. One important species of Brassica known as Brassica rapa (= Brassica campestris) has different morphotypes like turnip, Chinese cabbage and yellow mustard. Recent genome sequencing of one of its morphotypes- Chinese cabbage, an important vegetable crop in China, has opened up the avenues for a comparative study of other morphotypes of this species. Yellow mustard, a morphotype of B. rapa is an important oil yielding crop of India. It is mainly grown in the northern parts of India and is very sensitive to salt and drought stress. The genome sequencing of B. rapa subsp. Chifu (Chinese cabbage) would help in the genome wide analysis of different genes important in development and stress tolerance. Annexins, a protein family important for plant growth and development under normal and stress conditions, are ubiquitously found in plant and animal kingdoms and other unicellular organisms. In this study, we have identified the different annexin sequences present in the genome of B. rapa subsp. Chifu and conducted a genome wide expression analysis of different annexin members in an Indian variety (Yellow Sarson) of B. rapa. Our study showed the differential expression of different members of the annexin gene family under normal and stress conditions underlying their involvement in different stages. Bra034402 with homology to AnnAt1 and AnnBj1 got significantly upregulated in all hormone and stress treatments where as others showed differential up- or downregulation.
    10/2015; DOI:10.1016/j.plgene.2015.10.001


  • Address
    Gachibowli, 500046, Hyderabad, Andhra Pradesh, India
  • Head of Institution
    Prof. R. P. Sharma
  • Website
  • Phone
    040 66792000
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Top publications last week by reads

National Conference On Open Source GIS: Opportunities and Challenges Department of Civil Engineering, IIT (BHU),, Varanasi; 10/2015
207 Reads
Physica B Condensed Matter 11/2012; 407(21-Article in Press). DOI:10.1016/j.physb.2012.07.005
64 Reads

Top Collaborating Institutions


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See how the RG Scores of researchers from University of Hyderabad are distributed.