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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 ...
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, ...
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)
Although smartphones have already become the de facto tool for environmental
health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ...
Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
(Brac University, 2023-01)
Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high
levels of noise and clutter. These conditions can ...
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 ...
Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator
(Brac University, 2021-09)
There are numerous numbers of issues in society, one of which is crime. While crime refers to a wide range of deliberate, unlawful behaviors, the most archetypal ones involve murder, threatening and violent activities. Its ...
Multimodal human detection in disaster situations using deep learning & artificial intelligence
(Brac University, 2022-09)
Mankind has faced natural calamities for survival since the very beginning of
human civilization. Even after 65 million years, mankind is still figuring out ways to
face natural calamities and survive its post-consequences ...
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)
The neurodegenerative Alzheimer's Disease is the most widely recognized cause of
`Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless,
there is still no conclusive test for distinguishing ...
Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
(Brac University, 2021-06)
Machine Learning has gotten attention in the healthcare industry for the
competences to ameliorate disease prediction. Machine learning has already been
used in the health sector. Diabetes can also trigger the permanent ...
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, ...