Browsing Department of Computer Science and Engineering (CSE) by Author "Rabiul Alam, Dr. Md. Golam"
Now showing items 1-10 of 10
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An ambient assisted living system for Alzheimer’s patients
Abedin, Minhajul; Ahad, Mohammad Abdul; Hasan-Ul-Banna, A.B.M; Khan, Nibraz; Hossain, Ashfaq (Brac University, 2022-09)Alzheimer’s is a brain disorder that gradually deteriorates the brain functions of the patients. As the disease progresses, victims start to lose their memory, thinking ability, eventually rendering them unable to perform ... -
Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
Barua, Debalina (Brac University, 2022-09)The stock market is unstable and generally unpredictable, as any one of us could have predicted. Researchers have been experimenting with time-series data to forecast future values for many years, with stock valuation ... -
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
Islam, Md. Tahmidul; Kabir, Abrar; Chowdhury, Imtiaz Ahmed; Afrin, Sadiya; Nahin, Rakibul Alam (Brac University, 2022-09)Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ... -
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
Farabi, Farhan; Hossen, Farhan; Monsur, Farhan; Hossain, Mir Araf; Hasan, Md. Mohibul (Brac University, 2023-01)Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ... -
Federated ensemble-learning for transport mode detection in vehicular edge network
Alam, MD. Mustakin; Ahmed, Tanjim; Hossain, Meraz; Emo, Mehedi Hasan; Islam Bidhan, Md. Kausar (Brac University, 2023-01)Transport Mode detection has become a crucial part of Intelligent Transportation Systems (ITS) and Traffic Management Systems due to the recent advancements in Artificial Intelligent (AI) and the Internet of Things (IoT). ... -
Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
Ghose, Swattic; Bin Khaled, Faiyaz; Rafin, Nafiz Imtiaz; Jawwad, Rubaiyet Hossain; Bin Yahiya, Yamin (Brac University, 2023-01)The decentralized cryptocurrency has created many opportunities for secure and safe financial transactions with a bright prospect. The cryptocurrency market rapidly expands, leading to erratic price movements due to ... -
Internship as a web developer at YY ventures
Abedin, Salman (Brac University, 2023-01)Among all the projects I had the honor and pleasure of working at YY Ventures during my internship program and during my full time role as a Web Developer, 3ZERO Club is by far the most noteworthy one as it gave me the ... -
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
Mostafa, Tanzim; Chowdhury, Sartaj Jamal (Brac University, 2022-05)Autonomous vehicles [AVs] are the future of transportation and they are likely to bring countless benefits compared to human-operated driving. However, there are still a lot of advances yet to be made before these vehicles ... -
Optimal transport theory based GAN for medical image augmentation and classification
Siddiki Shan, Md. Abdul Kahhar; Quaiyum, Md. Abdul; Saha, Sugata; Nayer Anik, S. M. Navin (Brac University, 2023-01)Unsupervised neural networks called Generative Adversarial Networks (GANs) are used to provide realistic pictures without relying on the original data. Due to dis parities in illness occurrence, the challenge of class ... -
U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images
Mithila, Maliha Tabassum; Prome, Tasnim Ahsan; Tabassum, Elmi; Kamrul, Sameha; samiha, Nausheen (Brac University, 2022-05)There are various biometric parameters of the fetus that need to be evaluated to monitor prenatal diagnosis during pregnancy. Biometric parameters such as head circumference, abdominal circumference, cortical volume, the ...