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A personalised malayalam travel recommendation model using deep clustering techniques.
(Sullamussalam Science College, Areekod,Kondotty, 2024-06-12)
The research aims to develop a Personalized Travel Recommender
System tailored for the Malayalam-speaking audience in Kerala, India. Due
to the unavailability of a benchmark dataset in Malayalam, a two-pronged
data ...
Cognitive modeling of accented speech in Malayalam: exploring the impact of acoustic signal processing and deep learning techniques.
(Sullamussalam Science College, Areekod,Kondotty, 2024-06-12)
Accented Automatic Speech Recognition (AASR) is the ability of a system to
recognize accented speech inputs. It poses a unique challenge, particularly for
languages with limited available datasets. In this research, a ...
Hidden Markov Model based Keyword Spotting for Malayalam Speech Analytics
(Department of Computer Science University of Calicut, 2017)
Pattern primitive based malayalam handwritten character recognition studies for real-time applications
(Department of Computer Science, University of Calicut, 2023)
The communication between people in society is partially replaced with machines as one part of the process for a few decades. As technology dwelt faster changes, more and more devices came out for simplifying the task of ...
A Lightweight, Reliable, Secure, Paginated, Disconnected, and Distributed Message Transaction Model for Wireless Mobile Environment.
(Department Of Computer Science ,Farook College, 2024-07-23)
LXML is a hierarchical data format inheriting XML features like extensibility,
human readability, and schema awareness. Unlike XML, it uses level numbers in-
stead of user-defined tags. This new format improves performance ...
Speaking lip animation based on active appearance models : a unified framework for malayalam visual speech synthesis
(Department of Computer Science University of Calicut, 2019)
Soft computing approaches to domain specific information retrieval in the semantic web.
(University of Calicut, 2020-12)
Textual affect : A Computational Study Towards the Detection, Utility, and Algorithmic Fairness of Emotions in Text
(Department of Computer Science, University of Calicut, 2023-05)
Emotions are highly useful in modeling human behavior being at the core of what makes us human. Research in Affective Computing deals with developing computational systems capable of understanding and expressing emotions ...
Natural or computer generated: a computational study towards digital image forensics and understanding algorithmic fairness
(Department of Computer Science, University of Calicut, 2024)
The path-breaking advancements in technology involving high-resolution imaging devices and inexpensive storage make an all-easy acquisition, storing, and sharing of high-quality digital images. But the constant growth of ...