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pro vyhledávání: '"M. A., Sarwar"'
Fingerprint-based identification systems achieve higher accuracy when a slap containing multiple fingerprints of a subject is used instead of a single fingerprint. However, segmenting or auto-localizing all fingerprints in a slap image is a challengi
Externí odkaz:
http://arxiv.org/abs/2303.03341
Publikováno v:
In 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (pp. 1-4). IEEE
Many fingerprint recognition systems capture four fingerprints in one image. In such systems, the fingerprint processing pipeline must first segment each four-fingerprint slap into individual fingerprints. Note that most of the current fingerprint se
Externí odkaz:
http://arxiv.org/abs/2110.04067
Supermarkets need to ensure clean and safe environments for both shoppers and employees. Slips, trips, and falls can result in injuries that have a physical as well as financial cost. Timely detection of hazardous conditions such as spilled liquids o
Externí odkaz:
http://arxiv.org/abs/2003.04116
The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with limited datasets. We describe a transfer learning use case for a domai
Externí odkaz:
http://arxiv.org/abs/2003.04117
The integration of artificial intelligence capabilities into modern software systems is increasingly being simplified through the use of cloud-based machine learning services and representational state transfer architecture design. However, insuffici
Externí odkaz:
http://arxiv.org/abs/2003.01538
Autor:
Murshed, M. G. Sarwar, Murphy, Christopher, Hou, Daqing, Khan, Nazar, Ananthanarayanan, Ganesh, Hussain, Faraz
Publikováno v:
ACM Comput. Surv. 54, 8, Article 170 (November 2022)
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, which is an appealing target for AI systems. However, deploying machine
Externí odkaz:
http://arxiv.org/abs/1908.00080
Autor:
Komal, Nitasha, Ali, Ghulam, Sohail, Manzar, Mazhar, Muhammad, Malik, Zahida, Wattoo, M. Hamid Sarwar
Publikováno v:
In Materials Chemistry and Physics 1 February 2023 295
Autor:
Simone Dimartino, Giuseppe Rafael Galindo-Rodriguez, Ursula Simon, Mariachiara Conti, M. Sulaiman Sarwar, Selva Manikandan Athi Narayanan, Qihao Jiang, Nick Christofi
Publikováno v:
Bioresources and Bioprocessing, Vol 9, Iss 1, Pp 1-8 (2022)
Abstract Background 3D printing is revolutioning many industrial sectors and has the potential to enhance also the biotechnology and bioprocessing fields. Here, we propose a new flexible material formulation to 3D print support matrices with complex,
Externí odkaz:
https://doaj.org/article/51bcef0eea92445f99085e2f48650361
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-10 (2021)
Abstract Multiple categories of electronic devices have been introduced recently in response to the demands and developments in the industry. Around 5.19 billion telecom services subscribers today have a significant effect on the allocation and utili
Externí odkaz:
https://doaj.org/article/17e6fffd83c7401db5198c75cf3af90f
Publikováno v:
Pakistan Journal of Agriculture, Agricultural Engineering & Veterinary Sciences, Vol 38, Iss 1 (2022)
Cauliflower is cultivated all around the world for its high nutritional value. In Pakistan, there is dire need to optimize the nutritional supplementation of cauliflower. Therefore, a field experiment was carried out to see the impact of NPK and sulp
Externí odkaz:
https://doaj.org/article/837a09549e514b4baa492d01a1c98038