In this research has been developed the application of flat coil as vibration sensor for early detection of earthquake.The flat coil is a very thin wire winding and acts as an inductor.This flat coil along with the capacitor constructs an oscillator which generates frequencies depending on the value of inductance and capacitance.This oscillator is
Three Chaotic Strategies for Enhancing the Self-Adaptive Harris Hawk Optimization Algorithm for Global Optimization
Harris Hawk Optimization (HHO) is a well-known nature-inspired metaheuristic model 4 HERB FORMULA DETOXIFICATION inspired by the distinctive foraging strategy and cooperative behavior of Harris Hawks.As with numerous other algorithms, HHO is susceptible to getting stuck in local optima and has a sluggish convergence rate.Several techniques have bee
A Novel Neural Network Classifier Using Beetle Antennae Search Algorithm for Pattern Classification
Traditional training algorithms in artificial neural networks (ANNs) show some inherent weaknesses, such as the possibility of falling into local optimum, slow learning speed, and the inability to determine the optimal neuronal structure.To remedy the deficiencies of traditional neural networks, this paper proposes a novel neural network classifier
Aggressive treatment of metastatic squamous cell carcinoma of the rectum to the liver: a case report and a brief review of the literature
Abstract Background Rectal squamous cell carcinoma Christmas Decoration (SCC) is a rare tumor.The incidence of this malignancy has been reported to be 0.25 to 1 per 1000 colorectal carcinomas.From a review of the English literature 55 cases of SCC of the rectum have been published.In this study we report a rectal metastatic SCC to the liver, discus