AIMC Topic: Heuristics

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Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.

Endoscopy
BACKGROUND AND STUDY AIMS: Decisions concerning additional surgery after endoscopic resection of T1 colorectal cancer (CRC) are difficult because preoperative prediction of lymph node metastasis (LNM) is problematic. We investigated whether artificia...

Adaptive neuro-heuristic hybrid model for fruit peel defects detection.

Neural networks : the official journal of the International Neural Network Society
Fusion of machine learning methods benefits in decision support systems. A composition of approaches gives a possibility to use the most efficient features composed into one solution. In this article we would like to present an approach to the develo...

A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women.

Osteoarthritis and cartilage
OBJECTIVE: Knee osteoarthritis (OA) is among the higher contributors to global disability. Despite its high prevalence, currently, there is no cure for this disease. Furthermore, the available diagnostic approaches have large precision errors and low...

Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval.

Neural networks : the official journal of the International Neural Network Society
Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelligent techniques. The difference between them is in the way they process information. In the first ca...

A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process.

Computational intelligence and neuroscience
The two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostl...

A pilot study of a heuristic algorithm for novel template identification from VA electronic medical record text.

Journal of biomedical informatics
RATIONALE: Templates in text notes pose challenges for automated information extraction algorithms. We propose a method that identifies novel templates in plain text medical notes. The identification can then be used to either include or exclude temp...

Metaheuristic Algorithms for Convolution Neural Network.

Computational intelligence and neuroscience
A typical modern optimization technique is usually either heuristic or metaheuristic. This technique has managed to solve some optimization problems in the research area of science, engineering, and industry. However, implementation strategy of metah...

A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic.

IEEE transactions on haptics
Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally performed on rubber mannequins albeit practical limitations. Computer simulation with haptic feedback can potentially offer a more realistic and accessibl...

Neural model of gene regulatory network: a survey on supportive meta-heuristics.

Theory in biosciences = Theorie in den Biowissenschaften
Gene regulatory network (GRN) is produced as a result of regulatory interactions between different genes through their coded proteins in cellular context. Having immense importance in disease detection and drug finding, GRN has been modelled through ...