Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Azam, Md Ali"'
Autor:
Rahman, Md Hafizur, Azam, Md Ali, Hossen, Md Abir, Ragi, Shankarachary, Gadhamshetty, Venkataramana
Desulfovibrio alaskensis G20 (DA-G20) is utilized as a model for sulfate-reducing bacteria (SRB) that are associated with corrosion issues caused by microorganisms. SRB-based biofilms are thought to be responsible for the billion-dollar-per-year bio-
Externí odkaz:
http://arxiv.org/abs/2302.09629
Publikováno v:
2021 IEEE World AI IoT Congress (AIIoT)
Biologically inspired computing techniques are very effective and useful in many areas of research including data clustering. Ant clustering algorithm is a nature-inspired clustering technique which is extensively studied for over two decades. In thi
Externí odkaz:
http://arxiv.org/abs/2107.07382
Autor:
Azam, Md Ali
Unmanned aerial vehicle (UAV) swarm control has applications including target tracking, surveillance, terrain mapping, and precision agriculture. Decentralized control methods are particularly useful when the swarm is large, as centralized methods (a
Externí odkaz:
http://arxiv.org/abs/2107.04593
Autor:
Azam, Md Ali, Bhattacharya, Dhritiman, Querlioz, Damien, Ross, Caroline A., Atulasimha, Jayasimha
An energy-efficient voltage controlled domain wall device for implementing an artificial neuron and synapse is analyzed using micromagnetic modeling in the presence of room temperature thermal noise. By controlling the domain wall motion utilizing sp
Externí odkaz:
http://arxiv.org/abs/1907.05843
In the brain, the membrane potential of many neurons oscillates in a subthreshold damped fashion and fire when excited by an input frequency that nearly equals their eigen frequency. In this work, we investigate theoretically the artificial implement
Externí odkaz:
http://arxiv.org/abs/1806.00076
Akademický článek
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Akademický článek
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Autor:
Azam, Md Ali
Publikováno v:
Theses and Dissertations.
Future computing will require significant development in new computing device paradigms. This is motivated by CMOS devices reaching their technological limits, the need for non-Von Neumann architectures as well as the energy constraints of wearable t
Akademický článek
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Publikováno v:
2019 IEEE National Aerospace and Electronics Conference (NAECON).
In this paper, we develop a decentralized collaborative sensing algorithm where the sensors are located on-board autonomous unmanned aerial vehicles. We develop this algorithm in the context of a target tracking application, where the objective is to