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Now showing items 31-36 of 36
A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
(Brac University, 2022-01)
Recruitment is a crucial task for Human Resource Management (HRM) and determines
the creation of a competent workforce that eventually brings tangible and
intangible benefits for companies. Employees are key elements in ...
Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
(Brac University, 2023-01)
The use of machine learning models has greatly enhanced the capability to rec ognize patterns and draw conclusions. However, due to their black-box nature, it
can be difficult to comprehend the factors that affect their ...
A deep learning based autonomous electric vehicle on unstructured road conditions
(Brac University, 2021-09)
Autonomous driving vehicles are too known as driver-less cars which is one of the
foremost astounding advances of the twenty-first century, anticipated to be driverless,
effective, and crash dodging ideal urban cars of ...
Start up business solution using machine learning
(BRAC University, 2018-04)
In the present time data science and artificial intelligence is taking charge of every aspect in our life to make our lives more easy and comfortable. Machine learning is an approach to achieve artificial intelligence and ...
Shohojogi: an automated Bengali voice chat system for the banking customer services
(Brac University, 2023-03)
As the name refers, this research aims to develop an automated voice chat system
in Bengali language for the banking system. The system enables clients to learn
about detailed information such as account opening queries, ...
Automatic question & answer generation using generative Large Language Model (LLM)
(Brac University, 2024-01)
In the realm of education, student evaluation holds equal significance as imparting
knowledge. To be evaluated, students usually need to go through text-based academic
assessment methods. Instructors need to make diverse ...