Recently, the spread of videos forged by deepfake tools has been widely concerning, and effective ways for detecting them are urgently needed. It is known that such artificial intelligence-aided forgery makes at least three levels artifacts, which can be named as microcosmic or statistical features, mesoscopic macroscopic semantic features. However, existing detection methods have not designed ...

Fused deposition modeling (FDM) additive manufacturing has been intensively used for many industrial applications due to its attractive advantages over traditional manufacturing processes. The process parameters used in FDM have significant influence on the part quality and its properties. This process produces the plastic part through complex mechanisms and it involves complex relationships be...

An in-shoe pressure measurement (IPM) system can be used to measure center of pressure (COP) locations, and has fewer restrictions compared to the more conventional approach using a force platform. The insole of an IPM system, however, has its own coordinate system. To use an IPM system along with a motion capture system, there is thus a need to align the coordinate systems of the two measureme...

Particle settling in inclined channels is an important phenomenon that occurs during hydraulic fracturing of shale gas production. In order to accurately simulate the large-scale (field-scale) proppant transport process, constructing a fast and accurate sub-scale model, or surrogate becomes critical issue. However, mapping between physical parameters velocity complex, which makes model construc...

This paper focuses on a scheme for automated tumor recognition using images acquired during endoscopic sessions. The proposed recognition system is based on multi-layer feed forward neural networks (MFNNs) and uses texture information encoded with corresponding statistical measures that are fed as input to the MFNN. Experiments were performed for recognition of different types of tumors in vari...

Priyanka Agrawal student, electrical, mits, rgpv, gwalior, mp 474005, india† Dr. A. K. Wadhwani professor, electrical ,mits, rgpv gwalior, mp 474005, india Abstract : This paper deals with the designing of feed forward neural network (FFNN) with the effect of ANN parameters for feature extraction of ECG signal by employing wavelet decomposition. Extraction of ECG features has a significance rol...

Wireless Networks rendering varied services has not only become the order of the day but the demand of a large pool of customers as well. Thus, security of wireless networks has become a very essential design criterion. This paper describes our research work focused towards creating secure cognitive wireless local area networks using soft computing approaches. The present dense Wireless Local A...

Multilayer feedforward networks are often used for modeling complex functional relationships between data sets. Should a measurable redundancy in training data exist, deleting unimportant data components in the training sets could lead to smallest networks due to reduced–size data vectors. This reduction can be achieved by analyzing the total disturbance of network outputs due to perturbed inpu...