Browsing by Author "Mostakim, Moin"
Now showing items 21-40 of 93
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Classification of damaged vegetation areas using convolutional neural network over satellite images
Haque, Samiha; Rahman, Nazibur (Brac University, 2021-01)Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ... -
Clustering web pages based on doc type structure in a distributed manner
Kader, Kazi Samiul; Nawar, Sagufa; Ananna, Nusrat Sharmin; Khan, Sarah (BRAC University, 2015)Web page clustering is an important part of modern web technology. By structuring similar web pages together we can find related information, suggest similar choices etc. All modern search engines depend on web ... -
Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
Niloy, Maharshi; Moni, Md. Moynul Asik; Khan, Farah Jasmin; Chowdhury, Aquibul Haq; Juboraj, Md. Fahmid-Ul-Alam (Brac University, 2022-09-28)Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ... -
Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
Nivrito, AKM; Wahed, Md. Rayed Bin (BRAC University, 8/18/2016)In the last five years or so, Machine Learning has taken the world by storm. From predictive web browsing, to E-mail classification, to autonomous cars; machine learning is at the heart of every intelligent applications ... -
Comparative analysis of machine learning models for stock price analysis across different dataset sizes
Srabon, Abir Alam; Abrar, Mahmudul Hasan; Rahman, Nimur; Ahmed, Washif Uddin; Hridy, Salamat Sajid (Brac University, 2023-05)The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult for investors to invest. This paper compares six different ... -
A comparative study of car image generation quality using DCGAN and VSGAN
Shayer, Mirza Ahmad; Anjum, Nafisha; Mim, Sushana Islam; Chowdhury, Md. Abu Sajid; Preoshi, Noshin Nanjiba Islam (Brac University, 2022-05)In today’s modern society, image generation (synthesis) has a great number of uses in various tasks. Image generation is used in crime forensics, improving image quality and generating better images. In 2014, a scientific ... -
Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
Safa, Bushra; Eva, Sanjida Noushin; Hossain, Sania; Salauddin, A.K.M; Upoma, Lubaba Fakruddin (Brac University, 2021-10)With the introduction of blockchain technology in recent years, there has been a mas sive increase in the use of Cryptocurrencies. In any event, due of the market’s un predictable behavior and excessive cost volatility, ... -
Cyberbullying detection using sentiment analysis in social media
Sintaha, Mifta; Satter, Shahed Bin; Zawad, Niamat; Swarnaker, Chaity; Hassan, Ahanaf (BRAC University, 8/18/2016)In this day and age, the usage of Social Media has increased enormously in our daily lives. People like to share their experiences in various social media accounts for their friends to see. Consequently, the possibility ... -
Deep convolutional GAN-based data augmentation for medical image classification
Datta, Joy; Durdana, Bedria; Rafi, Salwa (Brac University, 2022-01)The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ... -
DenseNet based skin lesion classification and melanoma detection
Munaf, Arifuzzaman; Hoque, Ariful; Jawwad, Kazi Asif (Brac University, 2021-06)In the language of medical science, the most harmful variant of skin cancer that may develop in human cells is distinguished as melanoma. The principal reasons behind developing melanoma in human skin are still unknown. ... -
Detection and classification of speed limit traffic signs
Biswas, Rubel; Fleyeh, Hasan; Mostakim, Moin (© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-10)This paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough ... -
Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
Haque, Adiba; Kabir, Anika Nahian Binte; Islam, Maisha; Monjur, Mayesha (Brac University, 2022-01)The connection between heart and kidney has been medically established. The presence of a condition affecting one of the organs impairs the other. Hence, the causal associations between two of the most long-term conditions: ... -
Developing usability heuristics for Bangladeshi E-commerce websites: a desktop and mobile focused approach
Islam, Namirul; Hassan, Tahmim; Zahir, Nayel (BRAC University, 2024-01)In the era of digital technology, the importance of E-commerce has been immense, impacting economies, consumers and businesses alike. In Bangladesh, the use of E-commerce has completely changed the business landscape ... -
Distributed video management system using the concept of Spanner
Fariha, Azima Islam (BRAC Univeristy, 12/14/2016)In today’s world, we are highly dependent on modern technology. Everyday millions of people are watching videos online for recreation, learning and working purpose. With every passing day, this number of viewers are ... -
A domain and noise adversarial bird tune classification pipeline using deep neural network
Riya, Aparna Sarker; Roy, Arpita; Fahim, Md. Abrar; Tasnim, Zarin; Islam, Rakibul (Brac University, 2022-09-29)Birds are an important category of animals that ecologists keep track of utilizing autonomous recording units as a key indication of environmental health. Because of the consequences of climate change and the rising ... -
Early detection of diabetic retinopathy using deep learning techniques
Gomes, Veronica Jessica; Alavee, Kazi Ahnaf; Sarda, Anirudh; Akhand, Zebel-E-Noor (Brac University, 2021-10)We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ... -
Electronic voting system based on blockchain
Ahmed, Tanvir (Brac University, 2022-09)The primary goal of this application is to create a voting app which is safe and the result is unchangeable. By using blockchain technology these goals can be achieved. Data in blockchain is not stored in only one location ... -
Email classification and meeting scheduling using classifier algorithm
Khan, Behroz Newaz; Saroar, Sk Golam; Alam, Md. Mosfaiul; Gomes, Sebastian Romy (BRAC University, 2017-04)This research investigates a comparison between two different approaches for classifying emails based on their categories. Naive Bayes and Hidden Markov Model (HMM), two different machine learning algorithms, both have ... -
Emotion analysis using machine learning model and deep learning model on DEAP dataset
Hasan, Anita; Abrar, Fahim; Sabur, Eshaan Tanzim; Muntasir, Iftehaj; Na sha, Sumaia Sadia (Brac University, 2021-10)Emotion has a signi cant in uence on how you think and interact with others. It serves as a link between how you feel and the actions you take, or you could say it in uences your life decisions on occasion. Since the ... -
An enhanced CNN model for classifying skin cancer
Haider, Kazi MD Minhajul; Dhar, Mondira; Akter, Fahima; Islam, Sadia; Shariar, Syed Ragib (Brac University, 2022-01)Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic abnormalities or mutations, rising day by day. Detecting and diagnosing skin cancer in its early stages is expensive and challenging, ...