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Majumder, A and Chakrabarti, A (2023) DEVELOPMENT OF A DESIGN SUPPORT TOOL FOR SYNTHESISING MULTI-STATE MECHANICAL DEVICE CONCEPTS. In: 24th International Conference on Engineering Design, ICED 2023, 24 - 28 July 2023, Bordeaux, pp. 1455-1464.
Majumder, A and Babu, RV and Chakraborty, A (2018) Anomaly from motion: Unsupervised extraction of visual irregularity via motion prediction. In: 6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017, 16 - 19 December 2017, Mandi, pp. 66-77.
Majumder, A and Venkatesh Babu, R (2018) Deep neural network for foreground object segmentation: An unsupervised approach. In: 6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017, 16 - 19 December 2017, Mandi, pp. 360-371.
Khan, NA and López-Maldonado, EA and Majumder, A and Singh, S and Varshney, R and López, JR and Méndez, PF and Ramamurthy, PC and Khan, MA and Khan, AH and Mubarak, NM and Amhad, W and Shamshuddin, SZM and Aljundi, IH (2023) A state-of-art-review on emerging contaminants: Environmental chemistry, health effect, and modern treatment methods. In: Chemosphere, 344 .
Majumder, A and Todeti, SR and Chakrabarti, A (2023) Empirical studies on conceptual design synthesis of multiple-state mechanical devices. In: Research in Engineering Design .
Bhatt, AN and Majumder, A and Chakrabarti, A (2021) Analyzing the modes of reasoning in design using the SAPPhIRE model of causality and the Extended Integrated Model of Designing. In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM .
Majumder, A and Babu, RV and Chakraborty, A (2020) PerSeg : segmenting salient objects from bag of single image perturbations. In: Multimedia Tools and Applications, 79 (3-4). pp. 2473-2493.
