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Journal Articles: Recent submissions

  • An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology 
    Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael Alexander; Meena, Yogesh Kumar (Nature Research, 2023-06)
    Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging ...
  • Monotone arithmetic complexity of graph homomorphism polynomials 
    Komarath, Balagopal; Pandey, Anurag; Rahul, C. S. (Springer, 2023-03)
    We study homomorphism polynomials, which are polynomials that enumerate all homomorphisms from a pattern graph H to n-vertex graphs. These polynomials have received a lot of attention recently for their crucial role in ...
  • On the exact amount of missing information that makes finding possible winners hard 
    Dey, Palash; Misra, Neeldhara (Elsevier, 2023-08)
    In the possible winner problem, we need to compute if a set of partial votes can be completed such that a given candidate wins the election under some specific voting rule. In this paper, we determine the smallest number ...
  • A protocol to establish trust on biometric authentication devices 
    Kiran, Usha; Moona, Rajat; Biswas, Santosh (Wiley, 2023-03)
    One of the most extensively utilized mechanisms for person authentication is a system built using biometric-based authentication. However, many applications use biometric authentication devices that do not support any ...
  • Tables to LaTeX: structure and content extraction from scientific tables 
    Kayal, Pratik; Anand, Mrinal; Desai, Harsh; Singh, Mayank (Springer, 2022-10)
    Scientific documents contain tables that list important information in a concise fashion. Structure and content extraction from tables embedded within PDF research documents is a very challenging task due to the existence ...
  • Exploration of brain network measures across three meditation traditions 
    Pandey, Pankaj; Gupta, Pragati; Miyapuram, Krishna Prasad (International Society of NeuroRegulation and Research, 2022-09)
    Research into the similarities and differences between various forms of meditation practice is still in its early stages. Here, utilizing functional connectivity and graph measures, we present our work examining three ...
  • The beginning of a new era: artificial intelligence in oral pathology 
    Nandini, C; Basha, Shaik; Agarawal, Aarchi; Neelampari, R. Parikh; Miyapuram, Krishna Prasad; Nileshwariba, R. Jadeja (Medknow Publications, 2022-09)
    Intelligence is one of the vital qualities of the human brain, and it has been sometimes defined as the capacity to learn and understand new things, the ability to apply knowledge to manipulate one's environment or to think ...
  • Modelling and control design for an autonomous underwater vehicle based on Atlantic Salmon fish 
    Singh, Shubham; Ahmad, Saood; Amrr, Syed Muhammad; Khan, Saleem Anwar; Islam, Nazrul; Gari, Abdullatif Abdulhadi; Algethami, Abdullah A. (Institute of Electrical and Electronics Engineers, 2022-09)
    Biologically inspired autonomous underwater vehicles (AUVs) or biomimetic AUVs are made to replicate the structural and physiological features of aquatic species. Thus, incorporation of its design in AUV modelling provides ...
  • Deep learning approach to detect high-risk oral epithelial dysplasia: a step towards computer-assisted dysplasia grading 
    Nandini, C.; Basha, Shaik; Agarawal, Aarchi; Neelampari, R. Parikh; Miyapuram, Krishna Prasad; Nileshwariba, R. Jadeja (Medknow Publications, 2022-09)
    Introduction: Oral epithelial dysplasia (OED) is associated with high interobserver and intraobserver disagreement. With the exponential increase in the applicability of artificial intelligence tools such as deep learning ...
  • Classifying oscillatory brain activity associated with Indian Rasas using network metrics 
    Pandey, Pankaj; Tripathi, Richa; Miyapuram, Krishna Prasad (SpringerOpen, 2022-12)
    Neural signatures for the western classification of emotions have been widely discussed in the literature. The ancient Indian treatise on performing arts known as Natyashastra categorizes emotions into nine classes, known ...
  • PERISCOPE-Opt: machine learning-based prediction of optimal fermentation conditions and yields of recombinant periplasmic protein expressed in Escherichia coli 
    Packiam, Kulandai Arockia Rajesh; Ooi, Chien Wei; Li, Fuyi; Mei, Shutao; Tey, Beng Ti; Ong, Huey Fang; Song, Jiangning; Ramanan, Ramakrishnan Nagasundara (Elsevier, 2022-06)
    Optimization of the fermentation process for recombinant protein production (RPP) is often resource-intensive. Machine learning (ML) approaches are helpful in minimizing the experimentations and find vast applications in ...
  • Resonance as a design strategy for AI and social robots 
    Lomas, James Derek; Lin, Albert; Dikker, Suzanne; Forster, Deborah; Lupetti, Maria Luce; Huisman, Gijs; Habekost, Julika; Beardow, Caiseal; Pandey, Pankaj; Ahmad, Nashra; Miyapuram, Krishna Prasad; Mullen, Tim; Cooper, Patrick; Van Der Maden, Willem; Cross, Emily S. (Frontiers Media, 2022-04)
    Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, ...
  • On additive approximate submodularity 
    Chierichetti, Flavio; Dasgupta, Anirban; Kumar, Ravi (Elsevier, 2022-06)
    A real-valued set function is (additively) approximately submodular if it satisfies the submodularity conditions with an additive error. Approximate submodularity arises in many settings, especially in machine learning, ...
  • A digital asset inheritance model to convey online persona posthumously 
    Singh, Ram Govind; Shrivastava, Ananya; Ruj, Sushmita (Springer, 2022-04)
    The astounding growth of the Internet has generated digital asset extensively. Users are concerned about asset management so that the asset can be conveyed successfully to the descendent posthumously. Very few works have ...
  • [Re] hamiltonian neural networks 
    Garg, Ayush; Kagi, Sammed Shantinath (Rescience, 2020-05)
    In today's world, neural networks are being in almost every discipline resulting in significant improvement in all the tools and applications. But in the field of Physics, they struggle to attain the basic laws like ...
  • Geotechnical engineering educational modules demonstrating measurement and regulation of soil moisture 
    Garg, Ankit; Huang, Yuanxu; He, Huang; Huangm, Xilong; Lin, Peng; Kalra, Kanishk; Mei, Guoxiong; Khandare, Vaibhav Dilip; Singh, Lovepreet (Wiley, 2022-05)
    With the rapidly changing needs of the construction industry and higher education, Conceive-Design-Implement-Operate (CDIO) educational framework is essential in delivering basics and practical aspects to undergraduate ...
  • Strong Edge coloring of Cayley graphs and some product graphs 
    Dara, Suresh; Mishra, Suchismita; Narayanan, Narayanan; Tuza, Zsolt (Springer, 2022-04)
    A strong edge coloring of a graph G is a proper edge coloring of G such that every color class is an induced matching. The minimum number of colors required is termed the strong chromatic index. In this paper we determine ...
  • Blockchain based secure architecture for electronic healthcare record management 
    Mondal, Susmita; Shafi, Mehak; Gupta, Sumeet; Gupta, Sachin Kumar (GMSARN, 2022-12)
    Blockchain technology is a fast-growing field of interest to provide a secure framework for storing encrypted data in several sectors. It is a quite popular technology to enter a new realm, largely due to the emergence of ...
  • Imbalance parameterized by twin cover revisited 
    Misra, Neeldhara; Mittal, Harshil (Elsevier, 2021-12)
    Imbalance is a classical graph layout problem with several applications, particularly in graph drawing. The imbalance of a layout σ is determined by how well-balanced the neighbors of the vertices are in σ. In the present ...
  • A parameterized perspective on protecting elections 
    Dey, Palash; Misra, Neeldhara; Nath, Swaprava; Shakya, Garima (Elsevier, 2021-06)
    We study the parameterized complexity of the Optimal Defense and Optimal Attack problems in voting. In both the problems, the input is a set of voter groups (every voter group is a district consisting of a set of votes) ...

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