Most of the actual research in writing recognition focuses on speci ̄c applications where the vocabulary is relatively small. Many applications can be opened up when handling with large vocabulary. In this paper, we studied the classi ̄er collaboration interest for the recognition of a large vocabulary of arabic words. The proposed approach is based on three classi ̄ers, named Transparent Neuronal...

One of the major challenges when working with software metrics datasets is that some metrics may be redundant or irrelevant to software defect prediction. This may be addressed using feature (metric) selection, which chooses an appropriate subset of features for use in downstream computation. There are three major forms of feature selection: filter-based feature rankers, which uses statistical ...

Environmental pollution consists of different types of pollutants in air, soil, and water. Due to the fact that plants can respond to environmental pollution, they can be used as bio-indicators for environmental monitoring. Air pollution in areas with oil and gas refineries nearby is an important problem. This study aims to survey the effects of gas refinery air pollutants on Conocarpus erectus...

One of the most recent challenging issues pattern recognition and artificial intelligence is Arabic text recognition. This research topic still a pervasive unaddressed field, because several factors. Complications arise due to cursive nature writing, character similarities, unlimited vocabulary, use multi-size mixed-fonts, etc. To handle these challenges, an automatic requires building robust s...

Air pollution is a common environmental problem. Planting trees can minimize the adverse effects of air pollution. Plants absorb and accumulate pollutants through stomata. Biochemical changes in leaves will appear as physiological response plants to that be known by calculating APTI (Air Pollution Tolerance Index) value. This study aimed analyze differences responses five tree species Taman Mar...