Currently, the physical layer security is considered as one of most suitable techniques in Diffusive Molecular Communication (DMC) because ease to implement. A recent piece literature has presented Secrecy Capacity (SC) DMC system under rectangular deployment. To evaluate information capacity (IC) and thereby SC using Concentration Greens Function (CGF) molecular communication depends on biolog...

Flooding is the world’s most catastrophic natural event in terms of losses. The ability to forecast flood events crucial for controlling risk flooding society and environment. Artificial neural networks (ANN) have been adopted recent studies provide fast inundation forecasts. In this paper, an existing ANN trained based on synthetic was optimized two directions: extending training dataset with ...

The end of the wild computational sleigh ride of Moore's Law is the basis for this grand challenge. The doubling of computing performance every 18 months predicted by Moore’s law nearly 50 years ago will soon end. The number of active atoms in a computational device reduce to “one” sometime between 2010 and 2020. Barring some unforeseen invention, this is the end of the road for the current app...

In a regular full exponential family, the maximum likelihood estimator (MLE) need not exist in traditional sense. However, MLE may completion of family. Existing algorithms for finding solve many linear programs; they are slow small problems and too large problems. We provide new, fast, scalable methodology This is based on conventional computations which come close, sense, to These construct m...

Developing an automated brain tumor diagnosis system is a highly challenging task in current days, due to the complex structure of nervous system. The Magnetic Resonance Imaging (MRIs) are extensively used by medical experts for earlier disease identification and diagnosis. In conventional works, different types image processing techniques developed designing detection Still, it remains with pr...

Control Flow Graphs (CFGs) provide fundamental data for many program analyses, such as malware analysis, vulnerability detection, code similarity etc. Existing techniques constructing control flow graphs include static, dynamic, and hybrid which each having their own advantages disadvantages. However, due to the difficulty of resolving indirect jump relations, existing are limited in completene...

An artificial neural networks (ANNs) approach is presented for the prediction of effective thermal conductivity of porous systems filled with different liquids. ANN models are based on feedforward backpropagation network with training functions: LevenbergeMarquardt (LM), conjugate gradient with FletchereReeves updates (CGF), one-step secant (OSS), conjugates gradient with PowelleBeale restarts ...