Shabnam Mohamed Aslam

Majmaah University · College at Computer Sciences and Information Technology

Touch screen interaction system is highly demanding for new innovations from the point of visual sensing, as familiar and easily tracing the virtual key board on the screen, three dimensional gesture communications methods, and RFID sensing etc. In spite of the existence of these types of interaction methods, visually impaired people struggle to ha...

In recent times, Internet of Things (IoT) has become a hot research topic and it aims at interlinking several sensor-enabled devices mainly for data gathering and tracking applications. Wireless Sensor Network (WSN) is an important component in IoT paradigm since its inception and has become the most preferred platform to deploy several smart city...

Citation: Rajinikanth, V.; Aslam, S.M.; Kadry, S. Deep Learning Framework to Detect Ischemic Stroke Lesion in Brain MRI Slices of Flair/DW/T1 Modalities. Symmetry 2021, 13, 2080. https://doi. Abstract: Ischemic stroke lesion (ISL) is a brain abnormality. Studies proved that early detection and treatment could reduce the disease impact. This researc...

The incident rate of the Gastrointestinal-Disease (GD) in humans isgradually rising due to a variety of reasons and the Endoscopic/Colonoscopic-Image (EI/CI) supported evaluation of the GD is an approved practice.Extraction and evaluation of the suspicious section of the EI/CI is essen-tial to diagnose the disease and its severity. The proposed res...

E-learning is one of the predominant disciplines in the current era as every action of the normal human becomes online. Besides, E-learning pedagogy plays a major role in the Social Service paradigm in such a way that giving free education through the web on-demand. The work aims to focus on providing free online workshops and tutorials on software...

As of late, with the progression of AI and man-made brainpower, there has been a developing spotlight on versatile e-learning. As all ways to deal with e-learning lose their allure and the level of online courses builds, they move towards more customized versatile learning so as to collaborate with students and achieve better learning results. The...

Deep Learning is a subset of AI, acknowledged as graded learning. It depends on neural networks and undergoes different stages of representative transforms. It is widely used in image processing,market-crate investigation and classifying student's performance etc. In present times, deep learning is widely used by the researchers to perform COVID da...

Dynamic hand gesture recognition (DHGR) is an important yet difficult thing in the pattern recognizing groups and research communities. The latest establishment of new methods for acquisitions like Leap Motion and the Kinect permits deriving a vital data about hand pose which could be utilized for precisely recognizing the gestures. The previous sy...

Mobile phones play an important role not only in a normal person‟s life but also in the lives of visually impaired and differently enabled people. This research emerges and grows gradually in the field of interaction systems between mobile phones and visually impaired persons. This paper describes the new Braille-coded gesture interaction method of...

Abstract: With the onset of electric and electronic technology, the world has taken a metamorphic change from the mammoth size of an elephant to that of a tiny ant. The coaxial cable bridges encircle the spear which generates them. By far, the mobile phones have been the most advanced invention of the human race, and they have contributed an incred...

With the onset of electric and electronic technology, the world has taken a metamorphic change from the mammoth size of an elephant to that of a tiny ant. The coaxial cable bridges encircle the spear which generates them. By far, the mobile phones have been the most advanced invention of the human race, and they have contributed an incredible part...

Objective:The Objective of our research is to establish an Artificial Neural Network (ANN) model for Braille coded gesture pattern recognition process and to optimize the weight of the ANN model using optimization algorithms. The ANN utilized to predict the outputs such as right gesture, left gesture, top and bottom gestures of the known input valu...

Objectives: The primary objective of this paper is to evaluate the correctness of the algorithm Gesture Recognition that is one of the parts of our novel method ‘Braille coded gesture pattern interaction method”; and to study the performance of Eyedroid system using the statistical methodologies. Methods/Statistical Analysis: The algorithm for gest...

The world‟s population is comprised of, ot only people who can see, but also those who cannot see. Rarely, we find devices and technological advances that promote the accessibility for the visually impaired. Definitely, fully touch enabled devices are available today, but their primary focus is not making it accessible for the blind people by use o...

Mobile phones play an important role not only in a normal person's life but also in the lives of visually impaired and differently enabled people. This research emerges and grows gradually in the field of interaction systems between mobile phones and visually impaired persons. This paper describes the new Braille-coded gesture interaction method of...