Browsing by Subject "Neural networks (Computer science)."
Now showing items 1-12 of 12
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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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
(Brac University, 2024-05)In today’s digital world, voice emotion recognition is essential for applications like intelligent tutoring, audio mining, security, telecommunication, HCI, lie detection, and human-machine interactions in various settings. ...
