Yayıncı "Elsevier B.V." Mühendislik Fakültesi / Faculty of Engineering için listeleme
Toplam kayıt 11, listelenen: 1-11
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An adaptive locally connected neuron model: Focusing neuron
(Elsevier B.V., 2021-01-02)This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The experiments include tests of focusing neuron networks of one or two hidden layers on synthetic ... -
Battle Royale Optimizer for solving binary optimization problems
(Elsevier B.V., 2022-05)Battle Royale Optimizer (BRO) is a recently proposed metaheuristic optimization algorithm used only in continuous problem spaces. The BinBRO is a binary version of BRO. The BinBRO algorithm employs a differential expression, ... -
Crossing minimization in weighted bipartite graphs
(Elsevier B.V., 2009-12)Given a bipartite graph G = (L0, L1, E) and a fixed ordering of the nodes in L0, the problem of finding an ordering of the nodes in L1 that minimizes the number of crossings has received much attention in literature. The ... -
Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images
(Elsevier B.V., 2021-06)The novel coronavirus (COVID-19) could be described as the greatest human challenge of the 21st century. The development and transmission of the disease have increased mortality in all countries. Therefore, a rapid diagnosis ... -
Enabling 5G indoor services for residential environment using VLC technology
(Elsevier B.V., 2022-03-10)Visible light communication (VLC) has emerged as a viable complement to traditional radio frequency (RF) based systems and as an enabler for high data rate communications for beyond-5G (B5G) indoor communication systems. ... -
A global optimal control methodology and its application to a mobile robot model
(Elsevier B.V., 2016)A global optimal control algorithm is developed and applied to an omni-directional mobile robot model. The aim is to search and find the most intense signal source among other signal sources in the operation region of the ... -
Hybrid high dimensional model representation (HHDMR) on the partitioned data
(Elsevier B.V., 2006-01-01)A multivariate interpolation problem is generally constructed for appropriate determination of a multivariate function whose values are given at a finite number of nodes of a multivariate grid. One way to construct the ... -
Least minimum symbol error rate based post-distortion for adaptive mobile VLC transmission with receiver selection
(Elsevier B.V., 2021-08)In the context of beyond-5G indoor communication systems, visible light communication (VLC) has emerged as a viable supplement for existing RF-based systems and as an enabler for high datarate communications. However, the ... -
On the maximum cardinality cut problem in proper interval graphs and related graph classes
(Elsevier B.V., 2022-01-04)Although it has been claimed in two different papers that the maximum cardinality cut problem is polynomial-time solvable for proper interval graphs, both of them turned out to be erroneous. In this work we consider the ... -
Parallel univariate decision trees
(Elsevier B.V., 2007-05-01)Univariate decision tree algorithms are widely used in data mining because (i) they are easy to learn (ii) when trained they can be expressed in rule based manner. In several applications mainly including data mining, the ... -
Real-time frame buffer implementation based on external memory using FPGA
(Elsevier B.V., 2018)In this paper, design of a real-time video frame buffer with an external memory interface is proposed. In addition, simulation and implementation processes of the design is described. The mentioned system is able to buffer ...