Browsing by Subject "Neural networks (Computer science)."
Now showing items 1-20 of 26
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Advanced video analytic system for posture and activity recognition: leveraging MediaPipe, CNN-LSTM, and ensemble learning for fall and unstable motion detection
(BRAC University, 2024-10)Human posture detection and classification are vital in monitoring activities, especially in health and safety contexts, such as fall detection in elderly care. This thesis presents a comparative study of two machine ... -
Artificial intelligence in nephrology: detecting chronic kidney disease using neural network
(Brac University, 2024-05)Chronic kidney disease (CKD) is a significant global health concern, impacting more than 800 million people globally. Prompt identification and precise categorization are crucial for optimal therapy. The primary objective ... -
Audio classification using quantum techniques
(BRAC University, 2024-10)Quantum computing is a new type of computing system that is rapidly emerging with immense success in the area of computer science. In our day-to-day lives, there are different types of sounds in our surroundings, which ... -
An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy
(Brac University, 2024-05)Unsupervised clustering plays a crucial role in various real-life applications. It works by grouping similar data points together based on certain features or characteristics, without the use of predefined labels. The ... -
Bone age comparison using convolutional neural network
(BRAC University, 2019-04)In the last few years,Machine Learning has taken the world by storm. From predictive web browsing to the email and text classi cation,from the autonomous car to facial recognition, machine learning is the main core of ... -
A comprehensive hybrid framework for Parkinson’s disease detection: integrating handcraft features along with deep learning-based feature extraction with variational autoencoder and traditional machine learning techniques for classification
(BRAC University, 2024-10)Neurodegenerative disorders, such as Parkinson’s disease, present a significant medical challenge, necessitating innovative approaches for detection. This thesis introduces a comprehensive hybrid framework that combines ... -
Criminal activity detection from videos under low light condition using deep neural network
(BRAC University, 2024-10)Criminal activity detection from footage, especially in low-light circumstances, offers a considerable problem due to reduced visibility, noise, and detail loss. In this research, we present an approach for detecting ... -
Deepfake detection in videos detecting face wrapping artifacts with convolutional neural network
(Brac University, 2021-01)Alteration of video les by changing the face of a person on frame is Deepfake. In such manipulated contents a person's face is used on a video performing or saying something that they never actually said or did. Deepfake ... -
An efficient deep learning approach to detect diabetic retinopathy : analysis and severity prediction
(Brac University, 2024-01)Diabetic retinopathy is one complicated eye complication of diabetes and considered one of the major causes of preventable blindness worldwide. Diabetic retinopathy occurs when high glucose levels in the blood damage ... -
An efficient deep learning-based approach for Glioblastoma detection from MRI images
(BRAC University, 2024-10)In essence, an abnormal increase of brain cells is referred to as a brain tumor. Tumors come in two varieties: benign (non-cancerous) and malignant (cancerous). Cancerous tumors can originate in the brain itself (Primary) ... -
Enhanced CNN approaches for multi-image embedding in image steganography
(Brac University, 2024-05)In today’s world of information and communication tools, data security is critical for information diffusion. With the growth of extensive multimedia sharing and secret discussions, data concealment has become increasingly ... -
Enhanced hate speech detection in social media using transformer-based models
(Brac University, 2024-01)Hate speech on social media can escalate into ”cyber conflict,” detrimentally impacting social life. With the exponential growth of Internet users and media content, identifying abusive language in audio and video content ... -
Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
(Brac University, 2024-05)Pneumonia, a known leading child killer and a general health burden, continues to be a major concern due to its high morbidity and mortality rates in the developing world, which calls for prompt and accurate diagnosis. ... -
Enhancing Bangla video comprehension through multimodal feature integration and attention-based encoder-decoder captioning models for single-action videos
(Brac University, 2024-05)Video understanding and description have an important role to play in the field of computer vision and natural language processing. The capacity of automatically generating natural language descriptions for video content ... -
Exploring architectural floor plan appropriateness in context of Bangladesh leveraging graph neural networks in spatial context
(Brac University, 2024-09)This paper investigates the use of Graph Neural Networks (GNNs) for classifying architectural floor plans and establishing the applicability of international floor plans with respect to Bangladeshi architectural standards. ... -
Exploring machine learning techniques for symptom-based detection of livestock diseases
(Brac University, 2024-05)Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ... -
A hybrid based model on LSTM-CNN to multi-class emotion analysis on social networking dataset
(Brac University, 2021-01)Sentiment analysis from texts has been a major research eld in NLP. However, most of the studies are on binary (positive and negative) classi cation of the texts. While researching, we found that the accuracy of multi-class ... -
Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
(Brac University, 2024-01)This work aims to analyze the potential of deep neural models for text-based entailment in Bangla Language. Entailment is the method of determining whether one text infers or goes against another text. The study concentrates ... -
Loan approval prediction using machine learning algorithms
(BRAC University, 2024-10)This research describes the potential of several classifiers of classical machine learning and architecture of deep neural networks when predicting the status of a loan application. The data set of 613 observations and ... -
Mango leaf disease detection using image processing
(Brac University, 2024)Bangladesh is an agricultural country and mango cultivation plays a significant role in the economy of Bangladesh. Mango trees are at risk of different kinds of leaf disease. As a result, it can be the reason for hindering ...
