Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …

Face detection applications using digital photos are critical in the face recognition process.
This application is used in biometric recognition systems, search systems, and security …

It is important to identify ocular sleepiness as soon as possible to prevent accidents. More
than 1.3 million people lose their lives in traffic-related incidents every year. In such …

Employees that desire to work for Amazon will find Amazon employee access to be quite
useful. Any individual on this duty who begins evolved work at a firm should obtain the …

Real-time object detection using deep learning has emerged as a burgeoning field of study
due to its potential for a wide range of applications, including autonomous driving, robotics …

Pill color, pill size and shape are few important characteristics for automatic pill detection.
However, the environmental factors may cause an effect such that a change is produced in …

With the usage of De-regulated power system lately, power system maintenance has been a
major issue. In order to maintain microgrid stability and reliability, wind speed prediction is …

One of the very significant problems in pattern recognition applications is the recognition of
handwritten characters. The applications of digit acknowledgement include postal mail …

Handwriting style differ from person to person. The handwritten digits are not always in the
same width, size and orientation. In order to develop a system to understand this, includes a …

Handwritten recognition has achieved tremendous success in the real world. It has various
applications such as equation solver, automation, etc. Researchers have proven how …