Are visual face processing mechanisms the same in left and right cerebral hemispheres? The possibility of such ‘duplicated processing’ seems puzzling terms neural resource usage, we currently lack a precise characterization lateral differences processing. To address this need, have undertaken three-pronged approach. Using functional magnetic resonance imaging, assessed cortical sensitivity to facial semblance, modulatory effects context temporal response dynamics. Results on all three fronts...

Internet of Things (IoT) refers to a wide variety embedded devices connected the Internet, enabling them transmit and share information in smart environments with each other. The regular monitoring IoT network traffic generated from is important for their proper functioning detection malicious activities. One such crucial activity classification traffic. It enables administrator monitor activities which can be useful implementation Quality Service, detect devices, etc. In literature, various...

Software defined networking is going to be an essential part of domain which moves the traditional automation network. Data security important factor in this new architecture. Paper aim classify traffic into normal and malicious classes based on features given dataset by using various deep learning techniques. The classification one after pre-processing done. We got accuracy score 99.75% applying Stacked Auto-Encoder Multi-layer Perceptron (SAE-MLP) explained paper. Thus, purpose network...

The challenges involved in the traditional cloud computing paradigms have prompted development of architectures for next generation computing. new can generate and handle huge amount data, which was not possible to with help architectures. Deep learning algorithms ability process this data and, thus, now solve problem algorithms. Therefore, these days, deep has become state-of-the-art approach solving various tasks most importantly field recognition. In work, recognition city names is...

Fruits are common items bought by every household. They delicious to eat and rich in nourishment. However they may also adversely affect health if the fruits from a diseased tree/plant. Moreover, Farmers loose lot of amount profit their plants get affected some disease. In this article, main objective/goal is develop convolution neural network based approach identify disease apple fruit. The data for experiment has been taken PlantVillage. proposed work, model developed it consists three...

Abstract In recent years, the Indian economy has shown rapid growth among all other major economies. India been tragically reviled with issues like corruption and black currency, fake money notes is additionally to it, in spite of a strong security feature are endorsed by RBI print original currency. The advancement color printing technology helped local racketeers foreign large amount counterfeit currency market. Albeit being printed accuracy, it likely distinguished some effort. this...

Electric power load forecasting is an essential task in the system restructured environment for successful trading of energy exchange and economic operation. In this paper, various regression models have been used to predict active load. Model optimization with dimensionality reduction has done by observing correlation among original input features. Load data collected from a 33/11 kV substation near Kakathiya University Warangal. The available trained tested using Microsoft Azure services....

The rapid growth of the Internet Things (IoT) in early twenty-first century has introduced complexities delivering various services, including quality service (QoS) management for smart agriculture sensors. Selecting optimal IoT nodes considering QoS parameters such as energy consumption, latency, and network coverage area become challenging. In response, this research proposes an extended form differential evolution (DE) that incorporates a adaptation approach using optimization-based...

Scene text detection is complicated and one of the most challenging tasks due to different environmental restrictions, such as illuminations, lighting conditions, tiny curved texts, many more. Most works on scene have overlooked primary goal increasing model accuracy efficiency, resulting in heavy-weight models that require more processing resources. A novel lightweight has been developed this article improve efficiency detection. The proposed relies ResNet50 MobileNetV2 backbones with...

Software defined Network is a network by software, which one of the important feature makes legacy old networks to be flexible for dynamic configuration and so can cater today's application requirement. It programmable but it prone different type attacks due its centralized architecture. The author provided solution detect prevent Distributed Denial service attack in paper. Mininet [5] popular emulator used. We followed approach collection traffic statistics from various switches done. After...