Titlebook: Evolution in Computational Intelligence; Frontiers in Intelli Vikrant Bhateja,Sheng-Lung Peng,Yu-Dong Zhang Conference proceedings 2021 The

Entropion

An Investigation on Indoor Navigation Systems, This paper presents a review of the literature on recent techniques and methodologies for indoor navigation system. A detailed review on each phase in the navigation system along with the various techniques used, cost involved, feasibility level along with the performance of path selection algorith

Immunoglobulin

CAMEO

A Non-invasive approach for Driver Drowsiness Detection using Convolutional Neural Networks,alls asleep, he starts losing control and is unable to take reflex action to avoid the accident or to reduce its impact. This necessitates the need for developing a mechanism that provides timely alerts to the driver when he is drowsy. In this paper, an efficient and non-intrusive algorithm that use

fluoroscopy

Disaster Severity Analysis from Micro-Blog Texts Using Deep-NN,ce the necessity of research in this area. On the contrary, the size of micro-blogs content is overgrowing and likely to increase even faster shortly. Social media applications have become part and parcel of our daily lives, as they urge the public to express their opinions and share information aro

animated

ANTH

Predicting Reliability of Web Services Using Hidden Markov Model,these systems of these systems depends on the Web services (WS) and Internet associations. Outlining productive and viable reliability prediction of WS have turned into an imperative issue. This paper focuses reliability of systems by using hidden Markov model (HMM) for the modeling of failure and p

GEN

Optimal Contrast and Size-Invariant Recursive VCS Using Perfect Reconstruction of White Pixels,s by human visual system. Recursive visual cryptography scheme (RVCS) again encrypts the encrypted shares into sub-shares using recursion. In this paper, we proposed a new model for size-invariant RVCS based on Perfect Reconstruction of White Pixels (PRWP) which enhances the contrast. The size-invar

外星人

Performance Analysis of Brain Imaging Using Enriched CGLS and MRNSD in Microwave Tomography,truction process. This paper deliberates the efficacy of Krylov subspace- based gradient regularization methods such as Enriched Conjugate Gradient Least Square (Enriched CGLS) and Modified Residual Norm Steepest Descent (MRNSD) method imposed in the reconstruction algorithm which effectively handle

惡心

daredevil