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Akademický článek

Deep residual network with regularised fisher framework for detection of melanoma

Autor: Nazneen N. Sultana, Bappaditya Mandal, N.B. Puhan

Publikováno v: IET Computer Vision, Vol 12, Iss 8, Pp 1096-1104 (2018)

Of all the skin cancer that is prevalent, melanoma has the highest mortality rates. Melanoma becomes life threatening when it penetrates deep into the dermis layer unless detected at an early stage, it becomes fatal since it has a tendency to migrate

Externí odkaz: https://doaj.org/article/f9f193c93193408c85fe6d521f998167

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Akademický článek

Vibrio cholerae Transmits Through Water Among the Household Contacts of Cholera Patients in Cholera Endemic Coastal Villages of Bangladesh, 2015–2016 (CHoBI7 Trial)

Autor: Zillur Rahman, Md. Anisur Rahman, Mahamud-ur Rashid, Shirajum Monira, Fatema-Tuz Johura, Munshi Mustafiz, Sazzadul I. Bhuyian, Fatema Zohura, Tahmina Parvin, Khaled Hasan, K. M. Saif-Ur-Rahman, Nazneen N. Islam, David A. Sack, Christine M. George, Munirul Alam

Publikováno v: Frontiers in Public Health, Vol 6 (2018)

Recurrent cholera causes significant morbidity and mortality in cholera endemic estuarine areas of Bangladesh. There have been limited studies to investigate the transmission patterns of V. cholerae associated with cholera in Bangladesh. In this stud

Externí odkaz: https://doaj.org/article/3054d481349741c09663751bdd20f181

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Akademický článek

Peptides of presenilin-1 bind the amyloid precursor protein ectodomain and offer a novel and specific therapeutic approach to reduce ß-amyloid in Alzheimer's disease.

Autor: Nazneen N Dewji, S Jonathan Singer, Eliezer Masliah, Edward Rockenstein, Mihyun Kim, Martha Harber, Taylor Horwood

Publikováno v: PLoS ONE, Vol 10, Iss 4, p e0122451 (2015)

β-Amyloid (Aβ) accumulation in the brain is widely accepted to be critical to the development of Alzheimer's disease (AD). Current efforts at reducing toxic Aβ40 or 42 have largely focused on modulating γ-secretase activity to produce shorter, le

Externí odkaz: https://doaj.org/article/36c4345f68424ce5b55b840fd9b8f93c

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Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows

Autor: Sultana, Nazneen N, Baniwal, Vinita, Basumatary, Ansuma, Mittal, Piyush, Ghosh, Supratim, Khadilkar, Harshad

This paper develops an inherently parallelised, fast, approximate learning-based solution to the generic class of Capacitated Vehicle Routing Problems with Time Windows and Dynamic Routing (CVRP-TWDR). Considering vehicles in a fleet as decentralised

Externí odkaz: http://arxiv.org/abs/2102.12088

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Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

Autor: Sultana, Nazneen N, Meisheri, Hardik, Baniwal, Vinita, Nath, Somjit, Ravindran, Balaraman, Khadilkar, Harshad

This paper describes the application of reinforcement learning (RL) to multi-product inventory management in supply chains. The problem description and solution are both adapted from a real-world business solution. The novelty of this problem with re

Externí odkaz: http://arxiv.org/abs/2006.04037

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Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems

Autor: Meisheri, Hardik, Baniwal, Vinita, Sultana, Nazneen N, Ravindran, Balaraman, Khadilkar, Harshad

This paper describes a purely data-driven solution to a class of sequential decision-making problems with a large number of concurrent online decisions, with applications to computing systems and operations research. We assume that while the micro-le

Externí odkaz: http://arxiv.org/abs/1910.00211

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