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Browsing Department of Information and Communication Technology (ICT) by Issue Date

Browsing Department of Information and Communication Technology (ICT) by Issue Date

Now showing items 1-20 of 45

A Comparative Analysis of Identifying Multi Class Toxic Comment Classification Utilizing Deep Learning and Machine Learning Technologies

Sarker, Sajib (Comilla University, 2025-01)

Despite extensive efforts to prevent and manage malicious human behavior, there are still many compelling issues in cyber platforms. When such individuals live in a world where technology is rapidly developing and where ...
A Comparative Analysis of Identifying Multi Class Toxic Comment Classification Utilizing Deep Learning and Machine Learning Technologies

Sarker, Sajib (Comilla University, 2025-01-01)

Despite extensive efforts to prevent and manage malicious human behavior, there are still many compelling issues in cyber platforms. When such individuals live in a world where technology is rapidly developing and where ...
EXPLORING MACHINE LEARNING TECHNIQUES FOR PREDICTING USER CHOICES IN LLM INTERACTIONS

Chakraborty, Anik (2025-02)

The growing usage of Large Language Models (LLMs) in human-computer interactions needs the creation of systems that can forecast user preferences for AI-generated responses. The research explores the task of anticipating ...
CNN-Based Vehicle Rules Violation Detection System

Khasrul Alam, Khasrul (Comilla University, 2025-02-01)

One of the most well-known components of the cutting-edge ai and machine learning sector that tracks numerous functional activities and their influence on the growth of modern smart cities worldwide is the video based ...
Automatic Detection of Flood Severity Level from Flood Videos using Deep Learning Models

Hossen, Akther (Comilla University, 2025-02-01)

Floods are one of the most destructive natural disasters, causing significant loss of life, property, and infrastructure. Accurate and timely assessment of flood severity levels is crucial for effective disaster management ...
"RNN's LSTM Based Deep Learning Model for Stock Price Prediction"

Mozumder, Minhajul Islam (Comilla University, 2025-02-01)

One of the most significant activities in the world of finance is stock trading. The goal of stock market prediction is to forecast the future value of stocks as well as other financial instruments traded on stock exchanges. ...
Classifying Spam Email Using Machine Learning

Sana, Priyosree (Comilla University, 2025-02-01)

Email is a widely used method of transferring data and information via digital devices. Email is widely used for data communication between servers by millions of users worldwide. Unwanted emails, or spam, have become a ...
Comparative Analysis of Fruits Disease Detection using Different types of CNN Architecture

Islam, Md. Tohidul; Alam, Kursed (Comilla University, 2025-02-01)

Fruit diseases faces significant challenges to agricultural productivity, leading to substantial economic losses globally. Early and accurate detection of these diseases is crucial for effective management and prevention. ...
Development of a Healthcare Chatbot System

Rahman, Md. Tareq (Comilla University, 2025-02-01)

In order to live a better life, healthcare is crucial. Technology has never played a more importan role in healthcare as patients and medical professionals negotiate the public health crises. Users are typically not ...
E-commerce and its Benefits

Hossainv, MD Mozammel (Comilla University, 2025-02-01)
5G Technology and Future in Bangladesh

Hasan, Md. Faysal (Comilla University, 2025-02-01)
A Time-Nonlocal Optimization Approach for Image classification

Das, Hridoy Chandra; Hafsa, Akter (Comilla University, 2025-02-01)

Image classification remains a fundamental problem in artificial intelligence, with applications spanning medical diagnostics, autonomous systems, and security surveillance. Traditional deep learning models, such as ...
Hateful Text Detection Using Comparative Analysis of Machine Learning Algorithm

Shanto, Tanvir Hossen (Comilla University, 2025-02-01)

Social media platforms' explosive expansion has increased online interactions and made it easier to share information and communicate with others. But this accessibility has also made cruel and abusive speech easier to ...
Fine-Tuning Large Language Models to generate websites in specific tech stack

Md Najmul Islam Nayeem (Comilla University, 2025-02-01)

The rapid advancement of pre-trained Large Language Models (LLMs) has unlocked significant potential in automating domain-specific tasks. Despite their widespread adoption, fine-tuning LLMs for specialized applications ...
GUAVA DISEASE DETECTION USING CNN AND DEEP LEARNING ALGORITHM

Ahamed, Farhad (Comilla University, 2025-02-01)

Diseases impact a larger proportion of crops, which makes agricultural output difficult. Early illness detection and prediction can lead to increased production. The fruit guava is cultivated in tropical and subtropical ...
A Deep Learning Model for Classifying Bangladeshi Food and Estimating Calories

Nayeem, Md Najmul Islam (Comilla University, 2025-02-01)

Accurate food calorie estimation is essential for managing dietary intake, particularly for individuals with diabetes. This project presents an end-to-end system for food classification, weight estimation, and calorie ...
Fashion Trend Analysis & Recommendation System

Hasan, Md. Rashedul (Comilla University, 2025-02-01)

In order to ease the issue of information overload, which has become a potential concern for many Internet users, it is necessary to filter, prioritize, and efficiently distribute pertinent information on the Internet, ...
ENHANCED NETWORK SECURITY SYSTEM USING FIRWALLS

Sadik, Abdulla Al (Comilla University, 2025-02-01)

The Internet and computer networks are exposed to an adding number of security risks. With new types of attacks appearing continually, developing flexible and adaptive security acquainted approaches is a severe challenge. ...
Fashion Trend Analysis & Recommendation System

Afrin, Sadia (Comilla University, 2025-02-01)

In order to ease the issue of information overload, which has become a potential concern for many Internet users, it is necessary to filter, prioritize, and efficiently distribute pertinent information on the Internet, ...
Machine Learning-Based Predictive Modeling for Early Detection of Heart Disease

Akier, Kuhinoor (Comilla University, 2025-02-01)

Machine learning has revolutionized various industries worldwide, including healthcare, by enabling predictive analytics for disease diagnosis and prognosis. One of its most promising applications is in the early detection ...

Browsing Department of Information and Communication Technology (ICT) by Issue Date

Browsing Department of Information and Communication Technology (ICT) by Issue Date

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