Výsledky vyhledávání - "Aamir, Syed Muhammad"

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Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning

Autor: Aamir, Syed Muhammad, Ma, Hongbin, Khan, Malak Abid Ali, Aaqib, Muhammad

Detection of small, undetermined moving objects or objects in an occluded environment with a cluttered background is the main problem of computer vision. This greatly affects the detection accuracy of deep learning models. To overcome these problems,

Externí odkaz: http://arxiv.org/abs/2401.00986

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Experimental Comparison of SNR and RSSI for LoRa-ESL Based on Machine Clustering and Arithmetic Distribution

Autor: Khan, Malak Abid Ali, Ma, Hongbin, Aamir, Syed Muhammad, Baris, Cekderi Anil

LoRa lacks the sensing capabilities of channel status. Received signal strength indicator (RSSI) decreases due to collision, interference, and near-far effect while for signal-to-noise ratio (SNR), the packets are rejected by decreasing the transmiss

Externí odkaz: http://arxiv.org/abs/2210.15122

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Object Recognition in Different Lighting Conditions at Various Angles by Deep Learning Method

Autor: Mirani, Imran Khan, Tianhua, Chen, Khan, Malak Abid Ali, Aamir, Syed Muhammad, Menhaj, Waseef

Existing computer vision and object detection methods strongly rely on neural networks and deep learning. This active research area is used for applications such as autonomous driving, aerial photography, protection, and monitoring. Futuristic object

Externí odkaz: http://arxiv.org/abs/2210.09618

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