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Article
Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes
Diabetes is a set of long-term metabolic issues characterized by high blood glucose levels over a drawn-out time. It is a challenging and threatening disease because nearly half of patients who have diabetes d...
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Article
A Fuzzy-Based Approach for Cholera Risk Assessment and Vaccine Allocation
Common interventions to control the spread of cholera include improving sanitation, hygiene, and access to safe drinking water and providing epidemic regions with sufficient treatment kits and oral vaccines. D...
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Article
t-PINE: tensor-based predictable and interpretable node embeddings
Graph representations have increasingly grown in popularity during the last years. Existing representation learning approaches explicitly encode network structure. Despite their good performance in downstream ...
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Chapter
Towards a Stable Graph Representation Learning Using Connection Subgraphs
This chapter studies the problem of learning large-scale graph representations (a.k.a. embeddings) that encode the relationships among distinct nodes. The learned representations generalize over various tasks,...
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Article
Open AccessSURREAL: Subgraph Robust Representation Learning
The success of graph embeddings or nodrepresentation learning in a variety of downstream tasks, such as node classification, link prediction, and recommendation systems, has led to their popularity in recent y...
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Reference Work Entry In depth
Neural Networks
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Article
Discrete particle swarm optimization for the team orienteering problem
Orienteering problem is a well researched routing problem which is a generalization of the traveling salesman problem. Team orienteering problem (TOP) is the extended version of the orienteering problem with m...
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Article
Parameter estimation for abrasive water jet machining process using neural networks
The abrasive water jet machining process, a material removal process, uses a high velocity jet of water and an abrasive particle mixture. The estimation of appropriate values of the process parameters is an es...
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Article
Solving the forward kinematics problem in parallel manipulators using an iterative artificial neural network strategy
In this paper we address the forward kinematics problem of a parallel manipulator and propose an iterative neural network strategy for its real-time solution to a desired level of accuracy. Parallel manipulato...
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Chapter and Conference Paper
Advanced Technology Training for Operating the Microlithography Panel Printer
Electronics packaging plays a crucial role in the manufacturing of advanced microelectronics, with an increased interest in technology that produces greater power functionality in smaller spaces. The recent ad...
