Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Karapetyan, Areg"'
In light of growing threats posed by climate change in general and sea level rise (SLR) in particular, the necessity for computationally efficient means to estimate and analyze potential coastal flood hazards has become increasingly pressing. Data-dr
Externí odkaz:
http://arxiv.org/abs/2406.15451
We study a class of combinatorial scheduling problems characterized by a particular type of constraint often associated with electrical power or gas energy. This constraint appears in several practical applications and is expressed as a sum of square
Externí odkaz:
http://arxiv.org/abs/2312.15432
Autor:
Shaklab, Eyad, Karapetyan, Areg, Sharma, Arjun, Mebrahtu, Murad, Basri, Mustofa, Nagy, Mohamed, Khonji, Majid, Dias, Jorge
In addition to its crucial impact on customer satisfaction, last-mile delivery (LMD) is notorious for being the most time-consuming and costly stage of the shipping process. Pressing environmental concerns combined with the recent surge of e-commerce
Externí odkaz:
http://arxiv.org/abs/2305.17705
With the electrification of transportation, the rising uptake of electric vehicles (EVs) might stress distribution networks significantly, leaving their performance degraded and stability jeopardized. To accommodate these new loads cost-effectively,
Externí odkaz:
http://arxiv.org/abs/2305.11195
Autor:
Khonji, Majid, Alyassi, Rashid, Merkt, Wolfgang, Karapetyan, Areg, Huang, Xin, Hong, Sungkweon, Dias, Jorge, Williams, Brian
In transportation networks, where traffic lights have traditionally been used for vehicle coordination, intersections act as natural bottlenecks. A formidable challenge for existing automated intersections lies in detecting and reasoning about uncert
Externí odkaz:
http://arxiv.org/abs/2210.01766
Academic performance is perceived as a product of complex interactions between students' overall experience, personal characteristics and upbringing. Data science techniques, most commonly involving regression analysis and related approaches, serve a
Externí odkaz:
http://arxiv.org/abs/1806.02615
The Unsplittable Flow on a Path (UFP) problem has garnered considerable attention as a challenging combinatorial optimization problem with notable practical implications. Steered by its pivotal applications in power engineering, the present work form
Externí odkaz:
http://arxiv.org/abs/1709.05876
Autor:
Alyassi, Rashid, Khonji, Majid, Karapetyan, Areg, Chau, Sid Chi-Kin, Elbassioni, Khaled, Tseng, Chien-Ming
Publikováno v:
IEEE Transactions on Automation Science and Engineering, vol. 20, no. 2, pp. 1034-1046, April 2023
Unmanned aerial vehicles (UAVs), commonly known as drones, are being increasingly deployed throughout the globe as a means to streamline monitoring, inspection, mapping, and logistic routines. When dispatched on autonomous missions, drones require an
Externí odkaz:
http://arxiv.org/abs/1703.10049
Demand response (DR) programs have emerged as a potential key enabling ingredient in the context of smart grid (SG). Nevertheless, the rising concerns over privacy issues raised by customers subscribed to these programs constitute a major threat towa
Externí odkaz:
http://arxiv.org/abs/1703.02382
Publikováno v:
"A Competitive Scheduling Algorithm for Online Demand Response in Islanded Microgrids", IEEE Transactions on Power Systems, Vol 36, No 4, Pages 3430-3440, Dec 2020
A classical problem in power systems is to allocate in-coming (elastic or inelastic) demands without violating the operating constraints of electric networks in an online fashion. Although online decision problems have been well-studied in the litera
Externí odkaz:
http://arxiv.org/abs/1611.00559