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A Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities

5,500.00
Aim:            The aim of this study is to detect weapon by employing YOLO v8, focusing on better accuracy.  Abstract:

A Deep-Learning-Based Lightweight Model for Ship Localizations in SAR Images

5,500.00
Aim: To automate the detection of presence of ships and to classify the types of ships available in the given

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

5,500.00
Aim:          To detect and identify the Diabetic disease detection using Deep-Learning techniques. Abstract:            In the field of diabetic

A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

5,500.00
Aim: To design and implement an advanced diagnostic system for retinal disease classification, combining state-of-the-art feature extraction and classification models for superior accuracy.

A Rotational Libra R-CNN Method for Ship Detection

5,500.00
Aim:           To automate the detection of presence of ships and to classify the types of ships

A System Design With Deep Learning and IoT to Ensure Education Continuity for Post-COVID

5,500.00
Aim:           Ensure education continuity for post-covid it used to make a attendance for a student with face detection and

An Integrated Multi-Task Model for Fake News Detection

5,500.00
Aim:             To enhance the assigning accuracy of former methods in fake news detection using advanced methods. Abstract:            We

Android Malware Detection Using Informative Syscall Subsequences

5,500.00
Aim: To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.

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