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Titlebook: Soft Computing for Problem Solving 2019; Proceedings of SocPr Atulya K. Nagar,Kusum Deep,Kedar Nath Das Conference proceedings 2020 Springe

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Aggregation of Pixel-Wise U-Net Deep Neural Networks for Road Pavement Defects Detection,ks are starting to be performed by computer vision systems instead of people since such systems perform faster and deliver higher precision results. Recently, deep learning approaches showed a state-of-the-art solution in object detection and image segmentation. In this work, we present a pixel-wise
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Advanced Metaheuristics for Bicriteria No-Wait Flow Shop Scheduling Problem,schedule the . jobs on available system of machines in such a way that the weighted sum of makespan and system utilization time is the minimum possible. System utilization time is rarely found criteria of flow shop scheduling literature. Many heuristics and metaheuristics are available in the litera
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,Electrophysiological Studies on Acetylcholine–Dopamine Interaction and Effect of Dopamine on Learnipamine concentration in the synaptic cleft, thereby bringing out a different aspect of Dopamine. The mathematical models explaining the dynamics of interaction between Acetylcholine, Dopamine and the corresponding neural response have been developed. The coupled dynamics between Acetylcholine–Dopami
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Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems,ty of newly designed population-based artificial electric field algorithm (AEFA) over 30 unconstrained optimization problems of CEC 2017 benchmark set. The computational results of AEFA are compared with other existing algorithms along with their statistical validation. We also performed the numeric
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,Flow Shop Scheduling Problem of Minimizing Makespan with Bounded Processing Parameters,independent parameters of processing. Further, setup time, processing time and transportation time are considered to be stochastic rather than deterministic. It is observed that the actual value of these cannot be estimated in advance unless the processing of jobs is completed on each of the availab
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Finger-Induced Motor Imagery Classification from Hemodynamic Response Using Type-2 Fuzzy Sets, based on their corresponding noninvasive brain signals. Although there exists significant research results on left-/right-hand motor imageries, there is a scarcity of research on the classification of individual finger movements by motor imagery techniques. This paper provides a solution to this op
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Analysis of Rotation-Based Diffusion Functions,ilding blocks in such designs. Invertibility or bijectivity of a diffusion function is a foremost requirement for the crypto-designs. In this paper, we analyse this aspect of diffusion functions. We consider a class of rotation-based linear diffusion functions and derive a necessary condition under
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