Muhammad Sami

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The present study was performed with fuzzy logic (FL) time series prediction modeling on a twenty years hourly averaged wind data, that is, 1985 to 2004 for Quetta, Pakistan. A free fuzzy logic design was followed and hourly wind data for spring prediction were obtained (February, March and April). It was found that the prediction is reliable and precise.(More)
The atmospheric rate of dust fall has been reported to be the pollution indicator of urban area of Northwest of Balochistan, Pakistan. The multiplicity and complexity of sources of atmospheric dusts in urban regions has put forward the need of distribution of these sources indicating their contribution to specific environmental receptor. The present study(More)
This paper presents a novel way for detecting sign board and text recognition to aid navigation in indoor environment. Using text as a landmark for vision based navigation is still an active research and till date all algorithms developed for detection and recognition of texts for an indoor navigation have a lot of room to make it applicable on real time.(More)
The components and quantities of atmospheric dust fallout have been reported to be the pollution indicator of large urban areas. The multiplicity and complexity of sources of atmospheric dusts in urban regions has put forward the need for source apportionment of these sources in order to indicate) their contribution to a specific environmental receptor. The(More)
Sign language recognition has been an active area of research for around two decades and numerous different sign languages have been extensively studied in order to design reliable sign language recognition systems. Urdu, the national language of Pakistan, and its corresponding sign language, has so far been largely neglected by the academia, which is one(More)
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