Anal Acharya

Accelerated De-Novo Generation of Protein Ligand Molecules With Generative Transformers

Swastik Nath, Anal Acharya, Debabrata Datta

This chapter presents an innovative methodology that harnesses the profound semantic understanding capabilities of Large Language Models (LLMs) to expedite the identification and design of ligand molecules that bind to specific proteins associated with various diseases. Employing a Reinforcement Learning (RL) approach, …

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Machine Learning Based Spam Email Identification through Subject Affinity Applied for Pedagogical Persuasion Analysis

Mayurakshi Roychoudhury, Ayushi Chatterjee, Mantasha Ahmed, Anal Acharya

Email spam filtering is a crucial aspect of modern communication systems, aimed at protecting users from unwanted and potentially harmful messages. Traditional spam filters primarily rely on analyzing email content to determine whether a message is spam or not. However, with the …

Early Stage Mental Health Screening for Students using Machine Learning Techniques

Priyanki Dutta, Sahil Dudhoria, Tridib Paul, Anal Acharya et autres

Mental health challenges among students are becoming increasingly common, often going unnoticed in their early stages. The initial indicators are not always severe episodes such as panic attacks or emotional breakdowns. Instead, they may appear as persistent fatigue, difficulty waking up, frequent …

Explainable AI

Avishek Kanti Barman, Anal Acharya, Soumen Mukherjee, Shubham Chatterjee et autres

Educational institutions face growing worries about AI algorithms because of their unclear operations and unfairness and lack of responsibility in decision-making processes. XAI has materialized as an essential research domain that develops methods to enhance AI decision transparency for teaching staff and …

The Explainable Boosting Machine Based Framework for Transparent AI in Pedagogy

Avishek Barman, Anal Acharya, Soumen Mukherjee

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YouTube Spam Comment Detection System

Anal Acharya

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Grading Write-Ups Using Deep Learning

Avijit Chakraborty, Anal Acharya

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Classification of Environmental Microorganisms for Monitoring Water Quality for Food Safety Using Deep Learning

Khushi Purohit, P Sinha, Debabrata Datta, Anal Acharya

Water contamination poses a huge risk in both food production and consumption. To monitor water quality, environmental microbes (EMs) can be used as they act as bioindicators. Automating the detection of EMs would be a highly time-saving and vital procedure, particularly since …

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Customer Segmentation Using K-Means Algorithm

Debabrata Datta, Anal Acharya

In this research paper, authors explore the application of the K-means algorithm and the elbow method in customer segmentation using machine learning techniques. The algorithm is applied to a customer dataset and effectiveness of the resulting customer segments is evaluated. The performance …

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Twitter Sentiment Analyser Using NLP Techniques

Swarup Kumar Shaw, Vinayak Jaiswal, Sun Ghosh, Anal Acharya et autres

Twitter is a popular platform where users express their opinions on various topics, including social, political, and economic issues. By monitoring the sentiment of tweets related to a particular topic, companies or governments can identify potential problems before they escalate into full-blown …

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Face Mask and Social Distancing Detection in Real Time

Madhumita Choudhury, Durba Paul, Anal Acharya, Nisha Banerjee et autres

With the recent outbreak and rapid transmission of the COVID-19 pandemic, the need for the people to follow social distancing and wear masks in public is only increasing. So, the main objective of this chapter is to build a machine learning model …

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Sentiment Analysis Using LSTM

Anweshan Mukherjee, Rajarshi Saha, Ashwin Gupta, Anal Acharya

Sentiment analysis is a vast growing field as various branches of artificial intelligence are being used in different fields. Incorporating sentiment analysis in the field of psychology would be of great help to both doctors for easy diagnosis and patients for self-checking. …

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