Browsing Thesis in CSE by Issue Date

Now showing items 1-15 of 15

Solving Blockchain Trilemma Using Off-Chain Storage Protocol

Reno, Saha (CUET, 2023-09-04)

Trilemma in blockchain refers to the infamous problem of simultaneously not delivering the three critical aspects of a ledger: security, scalability and decentralization. While security and scalability hinder decentralization, ...
Trash Classification Using Deep Neural Network.

Das, Dhrubajyoti (CUET, 2023-12-20)
Detecting financial fraud using Rule-Based Techniques.

Islam, Saiful (CUET, 2024-02-13)

Financial fraud is a growing problem that poses a significant threat to the banking industry, the government sector, and the public. In response, financial institutions must continuously improve their fraud detection ...
Modeling of the biological treatment process of domestic wastewater using Artificial Neural Network

Saiful Islam, Mohammad (CUET, 2024-02-20)
Assessing health related economic benefits from reduced particulate matter in air using BenMAP-CE

Kabir, Maisha (CUET, 2024-03-04)

The residents of Chattogram City Corporation (CCC) are grappling with serious health risks due to air pollution, especially during the dry period. The Institute for Health Metrics and Evaluation (IHME) has documented a ...
Ergonomic analysis of seats of human powered vehicles by digital human modeling for better ride comfort

Hai, Tasmia Binte (CUET, 2024-05-03)

Rickshaws are essential for affordable and accessible transportation, particularly in densely populated urban areas. It is important to ensure the comfort of the rickshaw driver as it directly affects their health, well-being, ...
An efficient multicast routing protocol to minimize multipoint relays in MANET.

Hassan, Md. Zahid (CUET, 2024-05-21)

Reducing control packets, especially in proactive routing protocols, needed to establish routes can lower network overhead in Mobile Ad-hoc Networks (MANETs). Optimized Link State Routing (OLSR) is a proactive routing ...
Text classification in a resource-constrained language using Deep Learning Techniques.

Hossain, Md. Rajib (CUET, 2024-05-23)

The exponential growth of unstructured textual data on the World Wide Web, particularly due to extensive online engagement and social media activities, poses a significant challenge in classifying and organizing this ...
Identification of cyberbullying Bangla Linguistics Texts using deep learning and transformer based approaches.

Saifullah, Md Khalid (CUET, 2024-07-24)

In today's digital era, social media platforms such as Facebook, Twitter, and YouTube play crucial roles in facilitating idea expression and interpersonal connections. However, alongside increased connectivity, these ...
PDF Malware Detection Using Ensemble Learning

Hossain, G.M. Sakhawat; ID:, 19MCSE005P (CUET, 2024-09-25)

Since Portable Document Format (PDF) is one of the most common file types, scammers put damaging code into people’s PDF files to get into their computers. Standard solutions and methods for identifying PDF malware are ...
Developing an Automated Framework for Detecting Check-worthiness of Bangla Claims

Rahman, Md. Rashadur (CUET, 2025-02-05)

The evolution of technology is swiftly reshaping media trends, particularly with the mainstream media’s migration to online platforms. The rapid proliferation of misinformation through digital platforms and social media ...
Hybrid Caching with a Dynamic Forwarding Strategy in ICN

Dey, Ashim (CUET, 2025-02-09)

In this era of huge data traffic, the information-centric network (ICN) is a switch ing strategy from conventional host-centric communication to a new data-centric one. In-network caching an integral part of ICN can ...
AVaTER: A Multimodal Approach of Recognizing Emotion using Cross-modal Attention Technique

Das, Avishek; ID:, 21MCSE001P (CUET, 2025-06-02)

Multimodal emotion classification involves the analysis and identification of human emo tions by integrating data from multiple sources, such as audio, video, and text. This approach leverages the complementary strengths ...
MULTIMODAL DEEP LEARNING APPROACH FOR HUMOR DETECTION IN BENGALI

Rahman, Musfequa; ID:, 22MCSE003 (CUET, 2025-06-17)

Humor and sarcasm detection is essential for intelligent agents to revolutionize customer service, healthcare, and other industries by enabling truly natural and empathetic in teractions. However, detecting sarcasm and ...
VIOLENCE DETECTION IN VIDEOS USING DEEP LEARNING

Provath, Md. Al-Mamun (CUET, 2025-06-17)

Video violence detection is a critical tool for enhancing public safety in smart cities, particularly in managing the rising tide of political violence. Current datasets and conventional methods often fail to address the ...

Now showing items 1-15 of 15

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