Volume 9 | Issue 6

 Abstract

Recommender system (RS) has emerged to one of the most used technology in the recent years. This paper consist overview of recommender system, types of RS, problems in RS and future scope of RS. The main purpose of this paper is to spot the research trend in RS. More than 1,000 research papers, published by ACM, IEEE, Elsevier, and Springer since 2011 to the first quarter of 2020, have been considered. While learning the Recommender system several interesting finding come out which will help current and future RS researchers to assess and set their research roadmap. Furthermore, this paper also envisions the future of Recommender System which may open up new research directions in this domain.

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recommender system; issues; challenges; literature review; filtering approach; filtering technique; information retrieval technique; machine learning; research trends; future direction.

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Pinterest, Youth

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Human coronaviruses (HCoVs) have long been considered as no significant pathogens causing common cold in healthy people. But in the 21st century, 2 highly pathogenic HcoVs which are Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from animal reservoirs to cause global epidemics with alarming morbidity and mortality. An other pathogenic HcoV ,2019 novel coronavirus (2019-nCoV) was discovered was seen at Wuhan, China in December 2019 and this pathogenic HcoV has caused serious illness and death. The proposed work discusses about the detailed literature review of the contribution made by different authors.

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Covid, Corona Virus, Drug, repurposing

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The conventional method for classification and tumor detection of medical resonance brain tumor images is by human inspection, where in a lot of time and effort is put in by the specialists to analyze the problem area and to come up with a conclusion regarding the spread of the tumor region and its current stage. This paper proposes a fast and robust practical tool for segmentation of solid tumors with minimal user interaction to assist clinicians and researchers in radio surgery planning and assessment of the response to the therapy and classification of tumors using probabilistic neural network. Particularly, cellular automata (CA) based seeded tumor segmentation method on magnetic resonance (MR) images, and a standardized process called seed selection, is proposed. ANN with image and data processing techniques were employed to implement an automated brain tumor classification. Decision making was performed in two stages: feature extraction using the principal component analysis and the classification using Probabilistic Neural Network (PNN). The performance of the PNN classifier was evaluated in terms of training performance and classification accuracies.

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Keywords: Cellular Automata, Magnetic Resonance, Probabilistic Neural Network (PNN)

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Video Processing, Video Coding, H.264, Decoder

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ABSTRACT: INTRODUCTION: Anaemia is a condition in which the number of RBC OR OXYGEN CARRYING CAPACITY is insufficient to meet the physiological needs of the individual .It is a commonest medical disorder in pregnancy & responsible for significant high maternal and fetal mortality rate worldwide. AIM: To study socio demographic factors , maternal and fetal outcome. MATERIALS AND METHODS: This study included all antenatal women presenting in third trimester of pregnancy with Hb<7 gm/dl over a period of 2 year in the department of OBGY ,GMCH AURANGABAD.Gestational age more than 28 wks and haemoglobin less than 7 g/dl included in this study. RESULTS: A total of 200 women were studied .All women were investigated and treated with Injectable iron sucrose and adequate blood transfusion. Maternal complication in terms of CCF ,PPH,Sepsis,Lactational failure ,Surgical site infection were studied. Fetal complication in terms of LBW ,Prematurity,Neonatal sepsis were studied. CONCLUSION: The prevalence of IDA and amount of information available regarding the condition is substantial. Iron deficiency anaemia (IDA) is not a disease,but a collection of signs and symptoms that are displayed according to an insufficient amount of iron in the body.IDA prevention is dependant on the early and successful utilization of diagnostic tools and treatment options.

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Pregnancy, Iron deficiency anaemia, Blood transfusion, PPH

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Microstrip antennas have found their place in the research areas over the past few decades. The main reason for the popularity of these types of antennas is their small size and ease of fabrication. The size of these antennas depends on the frequency of operation. Therefore, as the frequency of operation increases the size of these antennas decreases significantly. This paper summarises the different types of microstrip antennas, the feeding techniques that can be used to feed the radiating element with the input electrical signal, and the various miniaturization techniques that can be implemented to make these antennas more compact.

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Antennas, Microstrip, miniaturization, patch antenna, feeding mechanisms, microstrip antenna types.

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Citrus are one in every of the foremost wide cultivated fruit crops. Citrus fruits are made supply of essential vitamins, minerals, ?bers and bioactive phytochemicals, like alkaloids, carotenoids, gas compounds and polyphenolics. The by-products derived from citrus wastes ar thought of to be associate degree economic and renewable supply for valuable compounds which might be utilized in pharmaceutical, neutraceutical, food and cosmetic industries. The review presents an in depth description on the recent advances with stress on the citrus derived neutraceuticals as potential supply for numerous biological properties and physiological roles, like anti-carcinogenicity, anti-mutagenicity, anti-allergenicity, anti-ageing activitiy, and natural moreover as vital constituent in artificial antioxidants. A comprehensive description on the citrus derived food and drinks more over as alimentary feed for animals has additionally been enclosed.

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Neutraceuticals, Citrus fruits, Citrus Waste, Phytochemicals, Anti-oxidants, Supplements.

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Many working families locate far away from their place of work because of the low or affordable housing but this also results in increasing transportation cost and also increase in the commute time. However, for such families the transportation cost is sometimes equal to their housing cost or sometimes it is even greater. But affordability for these people is not just about transportation cost. Households of limited resources have fewer choices in both where they can travel to and where they can actually afford to live and survive. Key words: Affordability, Transportation, Survival.

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Key words: Affordability, Transportation, Survival.

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Multiple-Input and Multiple-Output or MIMO has become an essential element of wireless communication standards including the use of multiple antennas at the transmitter and the receiver. In modern usage, MIMO refers to a practical technique for sending and receiving more than one data signal simultaneously over the same radio channel by exploiting multipath propagation. the use of orthogonal frequency division multiplexing to encode the channels that's responsible for the increase in data capacity.The narrowband MIMO performance is used to enhancechannelestimation in wireless MIMO ad hoc systems. In this paper we develop a model of MIMO ad hoc and measure the performance the network using the maximum likelihood (ML) estimator to formulate the channel model and measures the bit error rate (BER) in terms of signal to noise ratio (SNR) considering the Rayleigh fading channel with different number of receiver combination. Finally, we simulate a network implementing the Alamouti coding scheme and results are shown for the channel estimation.

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MIMO,Maximum Likelihood Channel Estimation,Alamouti Coding,fading channel.

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recent years, various methods for source code classification using deep learning have been proposed. In these methods, the source code classification is performed by letting the neural network learn the source code's token sequence, etc. In that case, it is necessary to select the appropriate neural network or source code representation because the learning efficiency decreases when neural networks and source code representations that are not effective for source code classification are used for learning. However, it is not clear which neural networks or combinations of source code representations are effective for realizing high-precision source code classification methods. In this study, we compare the source code classification method using deep learning. First, we selected 3 neural networks that are widely used in existing research. Next, we compared the accuracy of a total of 6 source code classification methods in which the neural network trained the token sequence or abstract syntax tree of the source code. As a result, it was confirmed that the recursive neural network which learned the token sequence of the source code has the highest accuracy. In addition; we compared the source code classification accuracy of deep learning and non-deep learning methods, and confirmed that the classification accuracy of deep learning methods is high.

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Deep learning, Source code classification, Forward propagation Neural network, Recursive Neural network, Graph Convolution network, BoW.

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Keywords: Deep Learning, Natural Language, Detection Models, predict, binary

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cyber-crime, Globalized

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Malaria is the deadliest disease in the earth and big hectic work for the health department. The traditional way of diagnosing malaria is by schematic examining blood smears of human beings for parasite-infected red blood cells under the microscope by lab or qualified technicians. This process is inefficient and the diagnosis depends on the experience and well knowledgeable person needed for the examination. Deep Learning algorithms have been applied to malaria blood smears for diagnosis before. Design propose system a new and highly robust deep learning model based on a convolutional neural network (CNN) which automatically classifies and predicts infected cells in thin blood smears on standard microscope slides. Testing on a small dataset of images gathered from a different source achieves similar performance, suggesting the model may generalize to different imaging conditions. The system achieves higher recall than existing non-deep approaches, and its accuracy, recall and precision of the highest performing CNN approach.

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CNN,Deep Learn,Maleria

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Swarm Robotics, LoRaWAN, Indoor Positioning System

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As in many other developing countries, in India, too, inadequate provision of affordable housing in the urban areas has resulted in an acute housing crisis for the rapidly growing urban population. One of the primary factors that have further aggravated the existing housing problems of India, is the general lack of emphasis of the government on the provision of affordable rental housing. The overarching aim of this research is to study the present situation of affordable rental housing in the primate cities of India and analyze the drivers and barriers in the provision of the same. For this, a detailed literature review and secondary data mining have been done. Besides, carefully designed semi-structured interviews have been conducted for 10 eminent industry leaders who are closely associated with various stakeholder groups of the Indian housing value chain. It has been discovered that some of the primary constraints that have hindered the development of affordable rental housing stock in India include lack of government support; unavailability of suitable PPP (Public-Private Partnership) frameworks; requirement of huge capital investments; low rate of return and difficulties faced by the private developers in the financing of rental housing projects. However, with appropriate policy interventions coupled with political will, it is possible to overcome these challenges. This paper also provides a host of strategies and policy recommendations for achieving the same. The findings of this research regarding the drivers and barriers in the supply of affordable rental housing could be also applied to other situations where there is a pressing need for such housing

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Affordable, Rental Housing, Drivers, Barriers

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This paper proposes the micro strip antenna with multi-slot that can operated at 4 GHz. In this proposed method, h-slot and u-slot slots are considered and build on micro strip patch antenna. This process and simulation is done by using HFSS software. This proposed antenna of size 30mm x 35mm x 1.6mm, contains partial ground with dielectric medium and micro-strip patch antenna of rectangular shape .FR-4epoxy is used as dielectric material. This proposed antenna can achieve 19.920 dB and very good radiation pattern

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dielectric medium, HFSS software, micros trip patch

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The technology is a process that never ends and to improve the quality of any product these technologies are required. The Android-is the most popular mobile platform, which is very useful in creating much real time application which is useful in our day to day life. Under this article, the blueprint and execution of a cheap, robust as well as resilient and secure Bluetooth based DC motor speed and direction control has been presented. The speed control was implemented using Bluetooth technology to provide communication access from smart phone. On the other hand we have PIC platform that we can use to quickly prototype electronic systems. IR sensor is used to measure the RPM of DC motor. By using PWM signal we can control the DC motor. Android mobile act as a transmitter and the received by Bluetooth receiver interfaced to PIC which send data to the Bluetooth module and which in-turn run the DC motor and also monitor the speed of DC motor on LCD module.

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PIC micro controller, LCD, Bluetooth, IR sensor, DC motors.

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Radar is an object-detection system which uses waves to determine the range, altitude, direction, or speed of objects. The object returns a tiny part of the wave's energy to a dish or antenna which is usually located at the same site as the transmitter. Here in this paper we present the antenna which is fitted with DC geared motor. The PIC microcontroller, DC Geared motors, H-Bridge is used to drive the geared DC motor, and IR sensors. We can place antenna at an altitude to track various frequencies emitted by radio stations. The system is provided with control switches. If user presses one switch, antenna tracks for corresponding IR signal. The rotation of antenna is based on the signal tracked by a pair of infrared sensor. Once the signal is matched antenna bowl will stop in that particular direction. In this way we can track the signal and can switch ON the particular desired frequency channel.

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Power supply, PIC micro controller, LCD, DC motor, IR sensor

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- In recent years, generation cost and fuel emission have been essential to minimize to sustain on the planet. Fossil fuel has been enormously utilized for power generation for a long time. It is required to manage the demand of customer and efficiently utilize the fossil fuels. The economic load dispatch problem has been considered to solve the crisis of conventional energy resources. So here, a novel stochastic optimization approach to solve constrained economic load dispatch problem using hybridization of Particle swarm optimization. This review paper shows that by applying hybrid PSO algorithm the power demand can be successfully met at minimum generation cost incurring minimum transmission loss.

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economic load dispatch,hybrid particle swarm optimization

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