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A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
(Brac University, 2020-04)
In today's world, technological advancements have entangled our nancial, social
and many more other aspects of lives to the internet or some network. Moreover,
with the development of IoT technologies, it has spread ...
Real time performance analysis on DDoS attack detection using machine learning
(Brac University, 2020-04)
In recent years, Distributed Denial of service (DDoS) attacks have led to a tremendous
financial loss in some industries and governments. Such as banks, universities,
news and media publications, financial services, ...
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
(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, ...
EMG controlled bionic robotic arm using artificial intelligence and machine learning
(Brac University, 2020-04)
Electromyography is a unique approach for recording and analyzing the electrical
activity generated by muscles, and a Myo-electric controlled prosthetic limb is an
outwardly controlled artificial limb which is controlled ...