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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 ...
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
(Brac University, 2022-01)
The Internet of Things (IoT) is a term that refers to billions of actual gadgets
all over the universe that are connected to the network, participating in all social
events, and sharing data. It is the most recent ...
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)
As one of the fastest and most prominent deep learning technologies being fiddled
with today, sentiment analysis is capable of revealing an individual’s true emotions
by analyzing their facial speech, text, facial ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Text classification with an efficient preprocessing technique for cross-language and multilingual data
(Brac University, 2022-09-28)
The procedure of eradicating extraneous textual elements and preparing or process-
ing the values to be fed into the classifier model is often indicates the concept of
text-preprocessing. There are several preprocessing ...
Analysis of financial data on the time series using data from the stock market
(Brac University, 2022-05)
Predicting financial data is really important for investors Often times investors do
not have a proper tool to properly assess the market and forecast their predictions.
Furthermore, not only investors in modern day ...
Stock Market Price movement prediction using RNN and Point-weight Sentiment
(Brac University, 2022-01)
Predicting the price of stocks has always been an exciting and challenging field for
academics and investors for a long time as it helps to gain high-profit margins for
investment companies, investors, and emerging ...