MPSTME Chronicle , January 17 ,2022
Research :
·
Nishita Parekh, Jinu Kurian, Rajesh Patil and Richa
Gautam published the paper titled “Influencing Factors and Challenges to
Energy Management and Energy Efficiency for Chemical Process SMEs in India”,
in Materials Today: Proceedings, Elsevier, (Cite Score: 1.8). The paper focuses
on energy management and energy efficiency steps undertaken by the chemical
process SMEs of western India. Suggestions to enhance the energy performance of
SMEs are also incorporated. https://doi.org/10.1016/j.matpr.2021.12.378
·
Arindam Chaudhuri (Data Science Department)
published an article Hierarchical Modified Fast R-CNN for Object Detection in
Informatica (Slovenia) Journal (ESCI, Scopus), DBLP Computer Science Bibliography.
The article proposes a novel hierarchical version of the Fast R-CNN algorithm
for object detection. https://www.informatica.si/index.php/informatica/article/view/3732
·
Sakshi Gehani and Siba Panda (Data Science
Department) published an article titled “Automated Medical Symptoms
Summarization and Patient Profiling System” in ICT Systems and
Sustainability (Scopus). This article talks about an interactive intelligent
agent that was built using the techniques of natural language processing (NLP)
and computer vision (CV) called the DocAssist. This rule-based AI chatbot is a
virtual assistant that tries to imitate the doctors’ physician assistant.
https://link.springer.com/chapter/10.1007/978-981-16-5987-4_13
·
Ameyaa Biwalkar, Ashwini Rao and Ketan Shah
(Computer and Information Technology Department) has published a paper
titled “Real or Fake: An intrinsic analysis using supervised machine
learning algorithms”. Different platforms of information data semantics are
affected by Fake news in recent years. The related work in the field makes use
of various supervised as well as unsupervised machine-learning algorithms to
classify and detect fake news. This paper provides an in-depth overview of the
algorithms that are being used for detection. It is published in 2021 Fifth
International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)
(I-SMAC). https://ieeexplore.ieee.org/abstract/document/9640675
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