Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network.

The deaf-mutes population always feels helpless when they are not understood by others and vice versa. This is a big humanitarian problem and needs localised solution. To solve this problem, this study implements a convolutional neural network (CNN), convolutional-based attention module (CBAM) to recognise Malaysian Sign Language (MSL) from images.

Toxic effect of common poisonous plants of district Bannu, Khyber Pakhtunkhwa, Pakistan.

The present paper was a part of Ph.D research work, conducted during the year 2014, in which 87 poisonous plants belonging to 54 genera, were collected, documented and preserved in the herbarium of Bannu, Department of Botany UST, Bannu Khyber Pakhtunkwa Pakistan. The plants were identified botanically, arranged alphabetically along with their Latin name, family name, common name, poisonous parts, toxicity, affects, toxin and their effects.