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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)
Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava
is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause
a variety of illnesses on cassava leaves. This ...
A deep learning approach towards soft biometrics attributes prediction using CNN
(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, ...
Weather forecasting using Deep Learning
(Brac University, 2022-09)
Global human life is significantly impacted by weather forecasts. It takes a lot of computing resources
to solve mathematical equations that are based on climatic circumstances. As a result, during the
past ten years, ...
Predicting peak performance of a cricket player using machine learning and data analytics
(Brac University, 2022-08-25)
In the modern era, the game of cricket has evolved into a batting friendly lexicon more than ever. However, bowlers adapting to every suitable condition can also change the dynamics of the game. Prior studies were carried ...
Stock price prediction
(Brac University, 2023-05)
Accurately predicting the stock value enables investors to earn more money, reducing
their uncertainty on whether to buy and sell. Again during the COVID-19 period,
many companies have shown a different picture of the ...
Plant disease detection using convolutional neural network
(Brac University, 2020-04)
Rice is a staple crop of Bangladesh and many metric tons of it are being destroyed
every year due to diseases. If the diseases can be efficiently and accurately classified ed
and recognized at early stage, the farmers ...
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
Detection of skin cancer using Convolutional neural network
(Brac University, 2019-10)
One of the most common and fatal cancer in the universe is skin cancer which arise
from skin of epidermis, the topmost layer of the skin, it can happen anywhere in
the body. We can find out the cancer by early detection. ...
Share market forecasting with LSTM neural network and sentimental trend prediction
(Brac University, 2019-09)
Forecasting and predicting future trend is getting signi cant importance in stock
market exponently as it is volatile in nature. Stock market is an extremely complicated
, unstable and volatile place due to the fact that ...
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)
The internet of things is one of today’s most revolutionary technologies. Because
of its pervasiveness, increasing network connection capacity, and diversity of linked
items, the internet of things (IoT) is adaptable and ...