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pro vyhledávání: '"Kandula A"'
Autor:
Kumar, Kandula Eswara Sai, S, Supreeth B, Dalvi, Rajas, Mittal, Aman, Akhtar, Aakif, Bosco, Ferdin Don, Lineswala, Rut, Chopra, Abhishek
This article presents a comparative analysis of GPU-parallelized implementations of the quantum-inspired evolutionary optimization (QIEO) approach and one of the well-known classical metaheuristic techniques, the genetic algorithm (GA). The study ass
Externí odkaz:
http://arxiv.org/abs/2412.08992
Autor:
Kandula, Hemanth, Karakos, Damianos, Qiu, Haoling, Rozonoyer, Benjamin, Soboroff, Ian, Tarlin, Lee, Min, Bonan
Frequently, users of an Information Retrieval (IR) system start with an overarching information need (a.k.a., an analytic task) and proceed to define finer-grained queries covering various important aspects (i.e., sub-topics) of that analytic task. W
Externí odkaz:
http://arxiv.org/abs/2409.04667
Autor:
Biswas, Bipul, Kandula, Manasa
Circular swimmers with tunable orbit radius and chirality are gaining attention due to their potential to illustrate novel collective phases in simulations and synthetic and biological active matter. Here, we present a facile experimental strategy fo
Externí odkaz:
http://arxiv.org/abs/2407.15061
Autor:
Namyar, Pooria, Arzani, Behnaz, Beckett, Ryan, Segarra, Santiago, Raj, Himanshu, Krishnaswamy, Umesh, Govindan, Ramesh, Kandula, Srikanth
Production systems use heuristics because they are faster or scale better than their optimal counterparts. Yet, practitioners are often unaware of the performance gap between a heuristic and the optimum or between two heuristics in realistic scenario
Externí odkaz:
http://arxiv.org/abs/2311.12779
Autor:
Namyar, Pooria, Arzani, Behnaz, Kandula, Srikanth, Segarra, Santiago, Crankshaw, Daniel, Krishnaswamy, Umesh, Govindan, Ramesh, Raj, Himanshu
We consider the max-min fair resource allocation problem. The best-known solutions use either a sequence of optimizations or waterfilling, which only applies to a narrow set of cases. These solutions have become a practical bottleneck in WAN traffic
Externí odkaz:
http://arxiv.org/abs/2310.09699
Autor:
Mani, Sathiya Kumaran, Zhou, Yajie, Hsieh, Kevin, Segarra, Santiago, Chandra, Ranveer, Kandula, Srikanth
Analyzing network topologies and communication graphs plays a crucial role in contemporary network management. However, the absence of a cohesive approach leads to a challenging learning curve, heightened errors, and inefficiencies. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2308.06261
In the medical domain, several disease treatment procedures have been documented properly as a set of instructions known as Clinical Practice Guidelines (CPGs). CPGs have been developed over the years on the basis of past treatments, and are updated
Externí odkaz:
http://arxiv.org/abs/2308.02984
Autor:
Kandula, Praveen, Rajagopalan, A. N.
Satellite images are typically subject to multiple distortions. Different factors affect the quality of satellite images, including changes in atmosphere, surface reflectance, sun illumination, viewing geometries etc., limiting its application to dow
Externí odkaz:
http://arxiv.org/abs/2306.02921
Autor:
Kandula, Praveen, Rajagopalan, A. N.
Several supervised networks exist that remove haze information from underwater images using paired datasets and pixel-wise loss functions. However, training these networks requires large amounts of paired data which is cumbersome, complex and time-co
Externí odkaz:
http://arxiv.org/abs/2306.02912
Supervised networks address the task of low-light enhancement using paired images. However, collecting a wide variety of low-light/clean paired images is tedious as the scene needs to remain static during imaging. In this paper, we propose an unsuper
Externí odkaz:
http://arxiv.org/abs/2306.02883