Browsing by Author "Chakrabarty, Amitabha"
Now showing items 21-40 of 112
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A comparative study of lung cancer prediction using deep learning
Mugdho, Aka Mohammad; Bhuiyan, Md. Jawad Hossain; Rafin, Tawsif Mustasin; Amit, Adib Muhammad (Brac University, 2022-09)At the point when cells in the body develop out of control, this is alluded to as cancerous development. Lung cancer is the term used to depict cancer that starts in the lungs. At first in the field, classifier-based ... -
Comparative study of toxic comments classification using machine learning algorithms
Razzak, Razia; Sadril, Md.; Shakil, Mahmudul Hasan; Rahman, Mahfuzur; Taki, Sabiha Tul Omman (Brac University, 2021-01)The rapid growth of information technology and the disruptive transformation of social media have happened in recent years. Websites like Facebook, Twitter, Instagram, where people can express their thoughts or feelings ... -
A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
Bin Mushfiq, Rahil; Zannah, Rafiatul; Bashar, Mubtasim; Alam, Md. Nafidul; Rahman, MD Aftabur (Brac University, 2023-01)Digital image processing utilizes deep learning to tackle challenging issues such as image colourization, classification, segmentation, and detection. The medical image analysis field is developing day by day, and ... -
Comparison of machine learning techniques to predict cardiovascular disease
Jaber, Mir Mohammad; Raad, Tahmid Imam; Tasneem, Tasfia (BRAC University, 2018-12)The purpose of this thesis is to examine and compare the accuracy of different data mining classication systems through different machine learning techniques to predict cardiovascular disease. This comparison shows the ... -
Comprehensive evaluation of shortest path algorithms and highest bottleneck bandwidth algorithm in software defined networks
Sajid, Asif Sadat; Niloy, Syed Faysal Nasir; Hossain, Kh. Arham; Rahman, Tasfin (BRAC University, 2018-04)Traditional network architectures are ill-suited to meet the necessities of the present enterprises, carriers, and end users. Hence, new emerging network architecture, Software Defined Network (SDN) can be used to solve ... -
Cultivation of exotic crops using greenhouse automation
Zohra, Fatema Tous; Islam, Fariha Jabin; Das, Tilottama; Ami, Kazi Umme Salma (BRAC Univeristy, 12/24/2017)In the current world the system of automation is the era defining technology, the vision of our future and will cause the next manufacturing revolution. The automation systems are taking over the tedious work load to ease ... -
A deep learning approach to integrate human-level understanding in a Chatbot
Al Mamun, Amirul Islam; Abedin, Afia Fairoose; Nowrin, Rownak Jahn (2021-01)AI-powered computers like chatbots have taken over the market today to reduce human workload. Unlike humans, chatbots reply immediately, are available 24/7 and can assist several people at the same time. Due to the ... -
A deep learning approach towards soft biometrics attributes prediction using CNN
Kibria, Maharab; Tabassum, Ilmi; Ahmed, Fardin; Habib, Nahian (Brac University, 2021-09)Any physical, behavioural or adhered human characteristics that we can observe from a person is known as Soft Biometric.The most common physical soft biometric attributes are height, age, ethnicity, facial hairs, gender, ... -
A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
Islam, Tanhim; Chisty, Tanjir Alam; Roy, Prova (BRAC University, 2018)Agriculture is the essential ingredients to mankind which is a major source of livelihood and that provides the wide-reaching scope of working opportunities for rural people in underdeveloped or developing countries. ... -
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
Saleque, Shahriar; Spriha, Gul-A-Zannat; Kamal, MD Rasheeq Ishraq; Khan, Rafia Tabassum (Brac University, 2020-04)Depression is accorded as one of the leading causes to all the problems related to mental health in the Global disease burden study (GBD). Major depressive disorder (MDD) is when this depression reaches to a larger extent, ... -
Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
Hussain, Nadib; Islam, Tanvir; Apu, Rafik Un Nabi (BRAC University, 2018-07)Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ... -
Detecting online recruitment fraud by using machine learning
Ghosh, Gitanjali; Tabassum, Hridita; Atika, Afra; Kutubuddi, Zainab (Brac University, 2021-01)Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region. Companies find it easier to hire people with the help of the internet rather than the old traditional way. But it has greatly ... -
Detection and prediction of epileptic seizure using different machine learning classifiers
Crystal, Afnan Ahmed; Tasnim, Nuna; Jamal, Subha Sumaiya B; Rahman, Md. Ashikur (Brac University, 2022-05-29)Analyzing neural signals produced by neurons in the brain, epilepsy can be diagnosed. An electroencephalogram (EEG) measures brain electrical activity, and studying EEG data in order to detect epileptic seizures in their ... -
Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
Chowdhury, Himadri; Banik, Shounak; Hossain, Arafat; Khaled, Md. Imran (BRAC University, 2018-12)Cancer starts when cells of body begin to grow rapidly. Cells in nearly any part of the body can become cancer and can spread to other areas of the body. The origin of Chronic Lymphocytic Leukemia (CLL) in the bone marrow ... -
Diabetic retinopathy detection and classification by using deep learning
Hossain, Shahriar; Evan, Md. Nurusshafi; Farhin, Fariya Zakir; Nabil, Mashrur Karim; Sadman, Sameen (Brac University, 2022-01)Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ... -
Displaying Ad with Optimal Real-Time Bidding
Uddin, A F M Ahsan (Brac University, 2020-12)Real-time bidding is a new paradigm for displaying an ad. Through our research work, we have tried to find a bid optimization solution for displaying an ad in RTB. Advertisers are able to bid per impression through RTB ... -
An effective infrastructure for pocket switch network
Majed, Mohammad Kaif Ul; Mariam, Anika; Noshin, Afia; Khan, Md. Jamiul Alam (BRAC University, 12/14/2017)In everyday life we are using Internet with fixed routing configurations such as Broadband, mobile data etc. Pocket Switch Networks (PSN) uses phones as the medium to connect with other people without a fixed cellular ... -
Efficient Spatio-temporal feature extraction for human action recognition
Ghosh, Dipon Kumar (Brac University, 2021-11)Human actuation recognition (HAR) has been performed using current deep learning (DL) algorithms using a variety of input formats, including video footage, optical flow, and even skeleton points, which may be acquired ... -
Embedded system based bangla intelligent social virtual robot with sentiment analysis
Hossain, Md. Ishan Arefin; Hossain, Ismail; Hossain, Md. Yousuf; Banik, Mridul (BRAC University, 2018-04)Bangla is the mother tongue of millions of people all over the world. Despite of being a very popular language, any social virtual robot that can intelligently communicate in Bangla is a fairytale till now. One of the main ... -
An emergency based image filtering system
Dhar, Bishakha; Smita, Noushin Anzum (Brac University, 2018-12)With the invention of new technology day by day the rate of inhuman works is also getting increased as well which ,making our life easier but at the same time unsafe. The new advanced technologies are permitting us to ...