Volume 10 | Issue 12 |

 Abstract

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Keywords: Herbal lipstick, Anthocyanin, Beta vulguris, Formulation, Evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Empowerment, Women Entrepreneur, Independent, Social Barriers, Environment, Gender

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Creative Commons Attribution 4.0 and The Open Definition

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Brain tumor is the growth of abnormal cells in brain some of which may leads to cancer. The usual method to detect brain tumor is Magnetic Resonance Imaging (MRI) scans. From the MRI images information about the abnormal tissue growth in the brain is identified. In various research papers, the detection of brain tumor is done by applying Machine Learning and Deep Learning algorithms. When these algorithms are applied on the MRI images the prediction of brain tumor is done very fast and a higher accuracy helps in providing the treatment to the patients. These Prediction also helps the radiologist in making quick decisions. In the proposed work, a self-defined Convolution Neural Network (CNN) is applied in detecting the presence of brain tumor and their performance is analyzed Efficient Network is one of CNN models that proposes high accuracy and less computational. Accordingly, this study suggested using the Efficient Network architecture to classify the types of glioma, meningioma, and pituitary brain tumours. Efficient Network has eight levels of category, which are from EfficientNet-B0 to EfficientNet-B7. This study obtains accuracy for best results in EfficientNet-B3 which achieved a accuracy of 97.34%.

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Creative Commons Attribution 4.0 and The Open Definition

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Image classification, Brain Tumor, EfficientNet

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Creative Commons Attribution 4.0 and The Open Definition

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We are surrounded by a world of electronics and fasting technologies and hence IoT is presently an emerging technology worldwide. The Internet of Things is a network of physical devices like (vehicles, home applications, and other objects) embedded with such devices (electronics, software, sensors, actuators, and network connectivity) that allows us to enable these objects/devices to connect and exchange data. Through internet they can be inter operated with each other. With the introduction of 5G wireless communication, the world of the internet has changed. 5G wireless technology helps to deliver higher multi-Gbps peak data speeds, more reliable, ultra-low latency, increased availability, huge massive network capacity, and more similar user advantages for more users. Higher performance and better efficiency provides better user experiences and connecting new industries through 5G. In this study, we provide a vision of IoT which will be the driving force behind the huge massive digital revolution in the future. The communication technologies and the architecture of 5G in IoT systems have been discussed in detail. In addition, we also indicated the profound challenges of current standard communication technologies in IoT and future research directions of IoT.

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Creative Commons Attribution 4.0 and The Open Definition

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IoT, 5G, 4G, Wifi, LoraWan, Bluetooth, Wifi Direct, Zigbee, architecture

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Creative Commons Attribution 4.0 and The Open Definition

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Two biocontrol agent viz., Trichoderma viride and Trichoderma harzianum were evaluated to test the antagonism against Fusarium oxysporum under in vitro conditions. All the two biocontrol agents have the potential of parasitizing the growth of Fusarium oxysporum in vitro. For control of seed-borne infection of F.oxysporum the best results were obtained from biological agent Trichoderma viride. Maximum control of F.oxysporum incidence (71.15%) and infected seedling (85.0%) was obtained when T.viride was applied as 80ml concentration which was followed by 20ml concentration. Control of pathogen incidence (42.3%), infected seedlings (60%) and seed germination (76.25%) was low in 120ml concentration. In F.oxysporum infected seeds, the maximum control for pathogen incidence 56% to 80% and infected seedling 47.61% to 92.86% was observed in 20ml-240ml dilutions of T.harzianum.

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Creative Commons Attribution 4.0 and The Open Definition

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Bio-efficacy, Fusarium oxysporum, lentil, Trichoderma, Wilt

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: plant diseases and pests; classification; detection; forecasting; precision farming; machine learning; smart farming.

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Creative Commons Attribution 4.0 and The Open Definition

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The technology of Internet of Things (IoT) and cloud has exposed devices to vulnerabilities. As they are distributed, the different devices communicate real time information to open, private or hybrid clouds, with the possibility of collecting, storing, and analyzing in new forms. In the healthcare context, the increased deployment of IoT devices makes patient information a subject to malicious attacks depending on the security and privacy of the IoT devices. While several researchers have explored such security challenges and open problems in IoT, there is an unfortunate lack of a systematic study of the security challenges in the IoT for e-Health on clouds. In this paper, we aim at bridging this gap by conducting a thorough analysis of IoT security Vulnerability. We present then security challenges in the cloud for e-Health domain and recent proposed solutions. We also provide a proposition of an IoT system in the cloud.

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Creative Commons Attribution 4.0 and The Open Definition

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IoT; CLOUD; EHEALTH; SECURITY.

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Creative Commons Attribution 4.0 and The Open Definition

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As we go from the original text to the translated text, we can understand that the translation undergoes a subjective interpretation by the translator. This leads to a(n) (in)voluntary manipulation of certain aspects of a literary work. This article aims to study the manipulation of self-image in the translation of Amrita Pritam's Rasidi ticket.

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Creative Commons Attribution 4.0 and The Open Definition

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Identity, translation, manipulation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Face recognition, OpenCV, Deep Learning, VGG

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Creative Commons Attribution 4.0 and The Open Definition

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This project presents the prediction of traffic-violations using machine learning, more specifically, when most likely a traffic- violation may happen. Also, what are the contributing factors that may cause more damages (e.g., personal injury, property damage, etc.) are discussed in this work. The national database for trafficviolation was considered for the mining and analyzed results indicated that a few specific times are probable for traffic-violations. Moreover, most accidents happened on specific days and times. The findings of this work could help prevent some trafficviolations or reduce the chance of occurrence. These results can be used to increase cautions and traffic-safety tips. This work presents an in-depth analysis of road and traffic violations pattern using Data Analytics methods, aimed at improving road and traffic management, government planning and decision making. The study identified the road and traffic current management practice as basis of the design development and implementation of the road and traffic management system. The application managed all the road and traffic violation that will produce recorded set for analysis, which carried out from over of five years. Through data cleansing a total of twenty thousand six hundred forty record set was derived. It is important to find use of this record set, build analysis models, and use interactive tools to produce predictive data, understand the relevance, trends, and driving behaviors from the road and traffic violations data in terms of the following predictors: gender of the violator, vehicle owner address, location of violation, month and time the violation was committed and traffic enforcer who issued the citation. The study was able to establish a data analysis model by using a powerful classification and random forest which was executed using an open source application named PyCharm. Finally, the developed application was evaluated by Python.

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Creative Commons Attribution 4.0 and The Open Definition

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Machine Learning, Traffic Violation,Data Analysis

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Creative Commons Attribution 4.0 and The Open Definition