Volume 10 | Issue 12

 Abstract

In today's world, wireless communication systems are extremely important for applications related to entertainment, business, commerce, health, and safety. The deployment of fifth generation (5G) wireless technologies is currently taking place all around the world as these systems continue to advance from one generation to the next. Beyond 5G wireless systems, which will represent the sixth generation (6G) of the evolution, are already being discussed in academia and industry. The application of artificial intelligence (AI) and machine learning (ML) to such wireless networks will be one of the primary and essential elements of 6G systems. According to our present understanding of wireless technologies up to 5G, every component and building block of a wireless system, such as the physical, network, and application layers, will involve one or more of them. The importance of ML approaches in various upcoming wireless systems, including 6G, is reviewed in this overview paper in an up- to-date manner. We specifically describe a conceptual model for 6G and demonstrate how ML approaches are used and play a part in each layer of the model. In the context of wireless communication systems, we examine some traditional and modern ML techniques, including supervised and unsupervised learning, Reinforcement Learning (RL), Deep Learning (DL), and Federated Learning (FL). In the paper's conclusion, we discuss some potential future uses and research directions for ML and AI in 6G networks.

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 Keywords

Artificial Intelligence, Machine Learning, Wireless Systems, Federated Learning, Deep Learning.

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Convolutional Neural Network has lately achieved exceptional success in the field of overall picture classification. Pretrained Convolutional Neural Networks (CNN) have recently been used to provide a far better representation of an input image. One of the top pretrained CNN networks, Inception V3 [1], is frequently utilised in deep learning as a pretrained CNN model. In this article, we suggest a deep learning model that can recognise specific birds from an input image. In order to encode the images, we also frequently use the pretrained Inception V3 model as well as pretrained CNN networks with base model. Birds are typically seen in a variety of situations and can be seen from a human perspective in a variety of sizes, shapes, and colours. Experiments will be performed utilising the entity of various dimensions, cast, and celerity to study recognition performance. We achieved a top-5 accuracy of 97.98% on our classifications.

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Convolutional Neural Network, Inception V3, Classification Algorithms, Deep Learning.

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Expatriate, Immigrant, Diasporic, Nostalgia, Imitation, Inhabitants and Displacement.

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Sarahunaath means the summation of all divine beings in the world. So they can be worshiped by any religion. Lord Sarahunaath is incarnation of all religions in the world. Means lord Sarahunaath was Judaism, Christianity, Islam, Bahai Faith, Hinduism, Taoism, Buddhism, Sikhism, Slavic neopaganism, Celtic, Polytheism, Heathenism (Germanic Paganism), Semitic neopaganism, Wicca, Kemitism (Egyption paganism), Hellenism (Greek paganism), Italo-Roman neopaganism religions.

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Art and Humanities

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Since the early times, Kashmir remained an economic centre owing to its great geographical significance. The establishment of Muslim rule in 1339 A.D. marked the development of commercial relations with the Central Asian region and it gave impetus to both inland and external trade of Kashmir. During fifteenth century it established trade relations with Samarkand, Kashgar, Bukhara, Khurasan and Yarkand. The Mughal occupation of Kashmir in 1586 not only created favourable conditions for the improvement of trade with Central Asia, but generally it gave a new Philip to the revival of Kashmir's trade with other neighbouring regions and also increased the Indo-Kashmir traffic. This paper is an attempt to highlight development of internal and external trade during the Mughal Period in Kashmir. Key words: Kashmir, Mughal, Import and Export, items.

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Inland and external trade in Kashmir during the Mughal period (1586-1752).

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Probability, Concepts, Interpreting and Rules

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Self-concept is a major psychological construct. Though self-concept is the perception that a person holds about himself/herself, family as well as society play vital role in developing the self-concept of an individual. A disabled person is the one who is considered as disabled because of the difference in appearance or behaviour. Basically disability is a tag assigned to the persons having some kind of impairment. Therefore, the development of self-concept among disabled students is not normal like other students. Poor self-concept is markedly observed among disabled students. However, if they get support from their family and society, their self-concept are likely to be enhanced. Similarly, inclusive education plays a major role in building the self-concept of disabled students. This review paper highlights the prevalence of different types of disability in students, the significance of family care and inclusive education in enhancing the self-concept of disabled students.

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Self-Concept, Disability, Inclusive Education

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sign, dilemma, stereotypes, convention, illusionary, authentic

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Mobile cloud computing makes it possible to access apps, services, and data from anywhere at any time via smart phones, tablets, and other tablet devices. Mobile cloud computing enables users to create applications for mobile users by using cloud computing technologies and a mobile device. Using a case study approach, this article examines how mobile users interact with a cloud-based applications and discusses its benefits.

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Mobile cloud computing, Internet, Cloud Computing, Mobile users

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In this article was presented one idea of how to improve overall internal combustion engine efficiency. We try to make a brief description of most important and basic parts of a new internal combustion engine. Here we Described engine have several advantages over conventional IC engine.

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IC engine, motor vehicle, CAD

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Anti-inflammatory , cytotoxic ,antibacterial ,anti-depresssion ,psychotic,etc .

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With the improved availability of high-resolution satellite imagery, it is possible to detect detailed structures on our planet's surface. Expert knowledge, supervision, and fieldwork are required for traditional mapping approaches. This study examines the potential of machine learning methods such as artificial neural networks (ANN), support vector machines (SVM), and random forest (RF), as well as different deep-learning convolution neural networks (CNNs) for high-resolution satellite imagery using optical data from the satellite and topographic factors. To do multi-label categorization of Amazon satellite images, this uses a Convolutional Neural Network (CNN) model. It starts with a CNN model that obtains an F-score of 0.84. Then, using three deep CNN architectures that have recently performed well in the ImageNet Challenge, demonstrate that a ResNet-50 model can get a 0.91 F-score. The results reveal that without any additional post-processing steps, state-of-the-art methods outperform by 9.8% on the Intersection over Union metric. The DeepGlobe Building Extraction Challenge asks participants to extract all building polygons from satellite images. They use the segmentation algorithm Mask R-CNN and a method that combines Mask R-CNN with building boundary regularization to construct polygons that are accurate and complete. This approach, however, provides better regularized polygons than Mask R-CNN, which is useful in many applications.

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Semantic segmentation, Satellite Imagery, High Resolution Satellite Imagery, Deep Learning, Convolution Neural Networks, Mask R-CNN, Support Vector Machine

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Abstract: This study has been undertaken to investigate the wear behaviour of AA60633-TiC Metal matrix composite, in this investigation aluminium alloy MMC is prepared by varying percentage of 2%, 4%, 6% TiC(ceramic material) in the powder form is stir casted through liquid metal aluminium alloy 6063 by liquid metallurgical process. The wear behaviour the sample specimens are analyzed under heat treatment and without heat treatment process, the results shows that improved results in heat treated material samples compared to without heat treatment samples.

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The family is the lifeblood of human society and the important people in the family system are the husband and the wife. If the marriage is to become good, the husband and the wife should act in a virtuous way. This summary of the review is based on the central theme that people should treat guests in their living ethics and live around them with love and support.

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domesticity, Hospitality, Makkadperu, Landlord, Saying, goodbye, love

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As the owner, mostly the NHAI, isn't conducting customer satisfaction surveys, across all the toll stretches rigorously, these styles of studies can help the authorities of NHAI for taking appropriate actions. The main focus of the study is on the general public opinion towards the traffic in a parcel of land and toll plaza operations. A spread of studies is conducted for ending the assessment which includes: A field survey at the parcel of land sites for collecting information on tolling service. A road user study in terms of user survey was disbursed for an overall analysis of the performance of toll plazas and this assessment is required to judge how each toll performs. These analyses enable the citizens to supply feedback about the issues that prevail within the concept of FASTag and to enable the developers to grasp these problems which can further help to attenuate those problems.

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FASTag,NHAI,NPCI

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Qualitative Fourier transform infrared (FTIR) spectroscopy has long been established and implemented in a wide variety of fields including pharmaceutical, bio-medical, and clinical fields. While the quantitative applications are yet to reach their full potential, this technique is flourishing. It is tempting to shed light on modern engaging and the applicability of analytical quantitative FTIR spectroscopy in the aforementioned fields. More importantly, the credibility, validity, and generality of the application will be thoroughly demonstrated by reviewing the latest published work in the scientific literature. Utilizing FTIR spectroscopy in a quantitative approach in pharmaceutical, biomedical, and interdisciplinary fields has many undeniable advantages over traditional procedures. An insightful account will be undertaken in this regard. The technique will be introduced as an appealing alternative to common methods such as high performance liquid chromatography. It is anticipated that the review will offer researchers an update of the current status and prospection the subject among the pharmacy and biomedical sciences both in academic and industrial fields.

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REVIEW ARTICLE ON FTIR SPECTROSCOPY

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In our daily lives, fuels, gasses, etc. are used in a variety of settings, including homes, workplaces, and industries. But if not used properly, it can have serious consequences. Many accidents in the past had it as their sole reason. There are many applications for fuels, gasses, etc. in daily life, including those in homes, businesses, and other settings. But it might produce serious problems if not used properly. Many accidents in the past had it as their sole reason. This project's goals are to find gas leaks, stop them from happening, and plug them in sensitive places. to avoid accidents, and stop the obstruction of susceptible locations with gas leaks. Included in this is the MQ6 gas sensor, which may also be used to detect other gasses such as LPG, i-butane, hydrogen, methane, smoke, and alcohol. It is used to detect gas leaks in homes and businesses. Only the trend of gas concentration within a reasonable error range is shown. This gadget automatically takes safety measures. Include the GSM module as well so that it may send the owner an alert SMS and take the necessary action right away.

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Arduino UNO, MQ6 gas sensor and 800L GSM Module

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Subaltern, Shakespeare, Shylock, Sinned.

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Greeks ,option , volatility , stock price

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