Volume 13 | Issue 2 | June 2023

 Abstract

In recent years, deep learning (DL) has emerged as the gold standard in the machine learning (ML) community, offering remarkable capabilities in addressing complex cognitive tasks and surpassing human performance. DL's ability to handle massive amounts of data has made it the most widely adopted computational approach in ML, with successful applications across domains such as cybersecurity, natural language processing, bioinformatics, robotics and control, and medical information processing. Despite numerous reviews focusing on specific aspects of DL, a holistic understanding of the field remains lacking. This comprehensive review aims to bridge that gap by providing an encompassing survey of DL, covering essential aspects and recent enhancements. Key topics addressed include the importance of DL, different DL techniques and networks, with a special emphasis on convolutional neural networks (CNNs) as the dominant network type. The evolution of CNN architectures, from pioneering models like AlexNet to state-of-the-art designs such as High-Resolution network (HR.Net), is discussed, highlighting their salient features. Additionally, the review examines the challenges faced in DL and proposes potential solutions to address existing research gaps. A wide range of major DL applications is presented to showcase its effectiveness across various domains. The influence of computational tools, including FPGA, GPU, and CPU, on DL is summarized, underscoring their role in accelerating DL tasks. The review concludes with the inclusion of an evolution matrix and benchmark datasets to aid researchers in evaluating DL performance. By taking a comprehensive and holistic approach, this review serves as an invaluable resource for researchers and practitioners seeking a deeper understanding of DL concepts, CNN architectures, challenges, applications, and future directions. It provides a comprehensive overview of the field, highlights recent advancements, and identifies potential avenues for further research and development.

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 Keywords

Deep learning, Machine learning, Convolutional neural networks, CNN architectures, Challenges, Applications, Future directions, Computational tools, Benchmark datasets, Image classification, Transfer learning, Medical image analysis, Supervised learning, FPGA(Field Programmable Gateway Array), GPU(Graphics Processing Units).

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Creative Commons Attribution 4.0 and The Open Definition

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Who Says: In Perception Nadia Parvin Mou

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Financial Technology (FinTech), FinTech Adoption, Digitalization, Digitization, Digital Transformation, Banking Industry, Economic Growth.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper is based on proper calculation and design of a spacecraft for a human settlement in a space. There is a proper design of a spacecraft and things needed to make it.

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Creative Commons Attribution 4.0 and The Open Definition

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Proper calculation and design of spacecraft. and things needed to make it.

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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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Metamorphic, Gemstones, Sedimentary rocks, vedic astrology, Panna Ratan ,Emerald Gemstones

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Creative Commons Attribution 4.0 and The Open Definition

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People tend to use tiffin service very often. The main customers of these services are students and employees who live in rented apartments. The subscription of this service changes a lot as it depends for how much time the customers want the tiffin to be delivered to them. A proper management is needed for the tiffin-vendor and the customers as well to cut of the everyday hassle. Every individual who uses the tiffin service has experienced many difficulties at some time trying to order the food or even while managing the payment for the same. As always people like hassle -free services and that made us think of this system. We aim to make it easier for all the customer users to order the tiffin and the tiffin-vendors to manage the process of order handling seamlessly. In this way it would help the vendors to utilize their time easily and also grow their business.

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ONLINE TIFFIN SERVICE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project conclude that the guidelines provided on the use of herbal hair oil having minimal or no side effects. All the parameters showed that they are within the limits and since all the ingredients added have many advantages, this oil will help in maintaining good growth of hair, turning grey hair to black, protects from dandruff and results in lustrous looking hair. Herbal hair oil is one of the most well recognized hair treatments. Herbal hair oil not only moisturizes scalp but also reverses dry scalp and dry hair condition. It provides numerous essential nutrients required to maintain normal function of sebaceous glands and promotes natural hair growth. Overall, the formulated herbal oil provides many nourishing value to hair such as vitamins, minerals, and essential oils. The product is within the limits. In conclusion, oil is beneficial to prevent hair from damage and loss caused by pollution and dull hair. And provide an alternative source from hazardous chemicals.

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Creative Commons Attribution 4.0 and The Open Definition

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Hair oil

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Creative Commons Attribution 4.0 and The Open Definition

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The research is done to study the relationship between bullying, aggression, and emotional competence. Bullying refers to unwelcome, violent behaviour displayed by school-age children that incorporates a real or imagined power disparity. Aggression is a general term for a variety of actions that might hurt you, other people, or inanimate things in the environment physically or psychologically. A person's bodily or emotional harm to another is at the heart of aggression. Emotional competence is a person's ability to express or release their feelings. It suggests a comfort with emotions, which leads to emotionally competent people being unconcerned with other people's emotions. The hypothesis for the study is 1. Adolescents who engage in bullying behaviour will show higher levels of aggression compared to those who do not engage in bullying behaviour.2. Adolescents who have higher emotional competence will engage in less bullying behaviour and show lower levels of aggression.3. There will be a negative correlation between emotional competence and bullying/aggression in adolescents. The variables independent variable: Bullying behaviour: These variable measures whether the adolescent engages in bullying behaviour or not. Dependent variable: Aggression: These variable measures the level of aggressive behaviour exhibited by the adolescent. Emotional competence: These variable measures the adolescent's ability to recognize, understand, and manage their emotions. For the analysis of result correlations is used. The 2sample size used is 8th to 12th class students age group of 14-18 years. The result used here is correlation between bullying and aggression is. -157 the correlation between bullying and emotional competence is .175. there is insignificant relationship between the variables. The implication of the study It can assist us in figuring out the root reasons of bullying and the risk factors that go along with it. The findings can be used to build effective prevention and intervention techniques, including programs that promote emotional competence in teenagers. Policymakers can use the study's results to create policies and guidelines addressing bullying in schools. Additionally, it emphasises how crucial it is to help teenagers' mental health by addressing their emotional competence. The study can inform the integration of social-emotional learning into educational curricula and encourage parental and community involvement in tackling bullying. Overall, the study advances knowledge of these problems and provides advice on how to foster circumstances where teenagers can flourish.

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BULLYING. AGRESSION AND EMOTIONAL COMPETENCE

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This paper proposes a CNN-based multi-task learning (MTL) method for identifying and tracking individual motorcycles, and register rider specific helmet use. The HELMET dataset includes 91,000 annotated frames of 10,006 individual motorcycles from 12 observation sites in Myanmar. An evaluation metric for helmet use and rider detection accuracy is introduced. IoT technology enables real-time monitoring and reporting, allowing police to respond quickly to violations and enforce helmet-wearing regulations. The system uses image processing techniques to analyse video footage from surveillance cameras placed at strategic locations on roads

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CNN- Model, MTL Method, IOT

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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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Polyherbal powder, Jamun guthli

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Creative Commons Attribution 4.0 and The Open Definition