Volume 11 | Issue 4

 Abstract

Inverse cooking using a convolutional neural network is a promising approach that utilizes deep learning techniques to determine the ingredients and cooking instructions used in a recipe from an image of the final dish. In this research paper, we propose a model for inverse cooking that uses a deep convolutional neural network to predict the ingredients and cooking steps of a recipe given an image of the final product. We evaluate the performance of our model on a publicly available dataset of food images and recipes and achieve high accuracy in predicting the ingredients and cooking instructions of the recipes. Our study provides insights into the development of deep learning models for inverse cooking and highlights the potential applications of this technique in the food industry. This research paves the way for future work in developing personalized meal-planning systems and improving recipe search engines.

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 Keywords

Inverse cooking, Image processing, Food recognition, Deep learning, Text generation.

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With a customer base of 4 million and assets above Rs. 1,000,000 Cr, ICICI Prudential Life Insurance is the second largest life insurance firm in India. Since the market was liberalized, the insurance industry has seen major transformation. According to projections, the life insurance premium as a proportion of GDP will increase from Rs 215 billion in 1998-1999 to Rs 592 billion in 2004-2005, and then to Rs 1450 billion by 2009-2010. With 2050 branches and 5, 60,000 agents, the Life Insurance Company of India (LIC) is the industry leader in the life insurance market. Moreover, general insurance is expanding more quickly.

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 Keywords

Consumer insurance , expanding , life , benefits

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The millennial and Gen Z generations' shifting consumer preferences have significantly altered the luxury market in recent years. Through an analysis of their views about luxury products and their purchasing habits, this study seeks to understand the effects of the luxury business on these two demographic groups. The study uses a comparative methodology to examine information gathered from surveys and interviews with Gen Z and millennial customers. The results show that while there are some parallels between the two groups' attitudes toward luxury goods, there are also some significant disparities. The study ends by examining the results' significance for luxury businesses and providing suggestions for how they might adjust to the shifting tastes of their younger customers.

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Shifting consumer preference, luxury market, influencer marketing, branding and marketing,

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The mandi district of Himanchal Pradesh witnessed damaged to life, road ,infrastructure and landscape .The current study generates knowledge about landslide influencing factors and generates landslide hazard zonation maps using GIS, which is based on Analytical Hierarchy process method in which their weightage will be given to the parameters according to their importance in the landslide hazard. The research was conducted on a portion of Mandi district in Himachal Pradesh, India, which is most important landslide hazard area. With the help of landslide inventory, a range of landslide triggering geo-environmental factors were chosen for landslide hazardous mapping, including slope, relative relief, soil, Land Use and Land Cover (LULC), lithology, drainage density, and earthquake hazardous. The study area's slope gradient, slope aspect, curvature, and relative relief map were created using a digital elevation model. Also, in this study analysis part of different element at risk will be our outcome which will help to focuses on the building damage, injured and fatalities rate. Further it is analyzed spatially at the regional Scale itself and susceptibility is done on these three parameters in which it distinguishes the highest to low in which strategies and proposal is given to most vulnerable.

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 Keywords

Landslide hazard zonation, Satellite data, Landslide preparedness.

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Early detection and accurate staging are critical to successful treatment of colon cancer, which is one of the top causes of cancer-related mortality globally. In the existing system, statistical features are used to classify cancer using supervised learning methods. However, recent advancements in deep learning have shown significant promise for improving classification accuracy. Research is being carried out to compare custom convolutional neural networks (CNNs) with pre-trained CNN models. We evaluated various deep learning models to identify the best model for classifying colon cancer. A publicly available dataset of histopathological images of colon cancer will be used to train and validate this custom CNN model. Performance metrics such as accuracy, sensitivity, specificity, and F1-score were used to assess the proposed CNN model. The results showed that the custom CNN model outperformed the pre-trained models with an accuracy of 93.6%, sensitivity of 92.7%, specificity of 94.5%, and F1-score of 0.916. Therefore, the proposed custom CNN model can be considered as a promising approach for colon cancer classification using histopathological images. By improving colon cancer diagnosis accuracy and developing an efficient computer-aided diagnosis system, this study will assist in improving colon cancer diagnosis accuracy.

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Colon Cancer, Convolutional Neural Network, Deep learning

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Electric power systems; security assessment; decision tree induction; neural net- works; nearest neighbor.

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The ever increasing numbers of traffic accidents all over the world are due to diminished driver's alcohol consumption and improper driving. For this reason, developing system that actively monitors the driver's alcohol detection and near by vehicle distance alerting the driver of any insecure driving condition is essential for accident prevention. In this project we continuously monitor the condition of the driver i.e. whether driver is alcohol is consume or not and monitor near by vehicle distance. If near by vehicle is closes to near by vehicle alerts though voice using voice module. If accident occurs detects by using mercury sensor, micro controller reads the data from GPS Module and send accident location though SMS to police station and Hospital.

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 Keywords

Arduino UNO, GPS modem ,GSM ,Ultrasonic sensor ,Alcohol sensor, Buzzer ,Mercury switch, IR speed measure sensor, EM-18 RFID reader, Relay and driver

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Global Education System creating worldwide opportunity for higher education, research and employment. In this globalized context of education, the curriculum of Indian Education system necessarily to concentrate on two major aspects. One is, to produce the skill full students to compete with those worldwide and second is, to maintain the standards to attract the students worldwide to encourage and impart educational techniques and employable opportunities. So there has always been a constant demand for the language studies and communication skills in India as well as abroad. Ganesh N Devy, remarked that "India may have lost 220 languages since 1961,". and has 191 endangered languages. Each language that dies is a culture system that is lost.' Instead of Globalization and modernization of Indian Education system Most of the Languages and its Cultural and Literary forms are in danger and disappearing gradually. The Languages, Literature and Cultural Heritage which is the Icon of the country like India has to be preserved for future generations. Languages are Interpretations of reality, mythical and symbolic constructions, and expression of community identities as well as heritage of whole humanity. So sustainable development of Languages is very important for the standardization of education system as well as Cultural Heritage preservation, proliferation and propagation. India is a Multilingual and Multiethnic Country in which many small groups speak diverse Languages and Dialects which are barriers to standardize education. Linguistic policy must set to promote the self- Esteem of the languages of each community. Very positive changes occurred in the linguistic policy of major countries. The Republic of South Africa and Ethiopia, Bolivia and other Andean countries, Australia, Cambodia, Russia, Spain and many other countries have recognized their linguistic plurality and renewed the laws and practices in a way of democratic and peaceful spirit.

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: Digital Humanities, Sustainable Development, Multilingual, Multiethnic, diversity

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Abstract: The terms "utopia" and "dystopia" are interchangeable. They show a science fiction environment with two extremes in general. The two are also discussed in greater depth in literature. "Utopia," on the other hand, is described as a civilization or community in which people live the most perfect and ideal lives possible. Many individuals believe that "Utopia" is a utopia. Thomas Moore coined the name in his official publication "Utopia" in 1516. He imagined a single island where everything appeared to be working smoothly in his utopia. Working in pristine, roomy facilities, living with lovely people, enthusiastically reporting to work, and happily coexisting with everyone is what it's like. There are no restrictions; humanity is free to study everything. Throughout history, the psychologies of individuals have inspired literature. Different literary genres are defined in this way. The utopia and its descendent, dystopia, are two literary genres that look at social and political institutions (against each other). Where Utopian fiction shows a setting for a novel fits the author's ethos and is depicted as having many characteristics that readers often perceive to be symbolic of what they would like to apply in reality or utopia. Dystopian fiction depicts a world that radically opposes reality.

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Dystopia, invisible, Radical, Restrictions, Utopia etc

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The goal of this research is to learn about employees' perspectives on the use of distributed ledger database technology blockchain in the area of human resource management (HRM) in organizations. The current study seeks to ascertain the perspectives of both HK and non-HK employees on how they assess the current state of HRM in their organizations, their knowledge of blockchain technology, and their views on the scope of application of blockchain in HRM. Design/methodology/approach A sample of 158 employees was gathered from various organizations, with employees working in both HR and non-HR roles. The data was analyzed using the Chi-square test of homogeneity, log linear analysis, and basic frequencies.

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Artificial Intelligence Human Resource Management Recruitment process Technological developments

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Indian gooseberry, Phyllanthus emblica, sorbitol-based candy, sugar-free candy, and diabetic candy are some examples of candies.

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The bank can crash for various reasons. A severe financial crisis or recession can increase the number of defaults on loans and mortgages , making it difficult for banks to recover the funds or it may be due to overextension of credit or they can crash if the bank do not have enough cash reserves to meet the demands of the depositors or it may crash due to bad investments or the fraudulent activity or unethical practices by bank officials can harm the bank's reputation, leading to a loss of trust from customers and investors. This study is on the downfall of American Banks in 2023 and the reason for the downfall.

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Banks, Defaults, Fradulent activity, crash, downfall

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Voting is one of the most usually used terms in contemporary age of democratic politics. The ever increasing popularity of democratic theory and practices has even made this term a household name. In democratic systems, and their number is quite large and ever increasing, each adult citizen uses 'voting' as a means for expressing his approval or disapproval of governmental decisions, policies and programmers of various political parties and the qualities of the candidates who are engaged in the struggle to get the status of being the representatives of the people. The study of determinants of electoral behaviour constitutes a very significant area of empirical investigation. Man is a rational creature in the philosophical sense of term; he is not so rational in the realms of his economic or political behaviour. An empirical study of the determinants of electoral behaviour displays the amazing fact that the behaviour of man is influenced by several unreasonable factors and pressure groups in invoking religious and communal factors, influence of money or charismatic personality of a leader and host of other irrational forces have their definite influence on the minds of the voters. The main purpose of the present study is to focus attention on voting behaviour in India and to highlight the factors that determine the voting behaviour in India.

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Voting, Determinants, Voting Behaviour, Election, Constituency etc.

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From ancient times, people all over the world have used camphor (Cinnamomumcamphora), which is derived from camphor's wood tree, as a cure for a ample variety of symptoms, including cough, inflammation, ingestion, infection, congestion, pain, and irritation. Studies on the bioactive extract's safety should be conducted. In India, about 70% of contemporary medications come from natural sources. In addition to serving as traditional medicines, medicinal plants also serve as important trade commodities, supplying far-off markets with what they need. With a long tradition it was used as an antibacterial, antipruritic, rubefacient, abortifacient, aphrodisiac, contraceptive, and location suppressant, camphor is well known to many people as a key component in topical home treatments for various kinds of sickness. Camphor was employed for a sanitation during the leishmaniosis (kala-azar) epidemic in the 1400's to stop the plague's spread over Europe. When cholera, smallpox, and influenza were on the rise in the 19th century, mothballs made of camphor were employed on the Indian subcontinent as a cough suppressant. Hahnemann, the creator of homoeopathy, presented his findings during the "flu pandemic" of the 18th century in Russia. Research on camphor and its proposed use as a "divine medicine" for influenza when administered in very small doses Camphor has historically been used in domestic cleansers, as a food flavouring, as a good fragrance in cosmetics, as a rubefacient for treating minor muscle aches discomfort, and as a popular ingredient in household cleaners. Camphor is utilised in a variety of commercial goods on the Indian market, including VapoRub with Vicks. It is used as a antiviral anticoccidial insecticidal antimicrobial anticancer, antinoceptive and antitussive properties define camphor physiologically. Additionally, it aids in skin penetration. However, camphor is a highly hazardous chemical, and there have been numerous reported occurrences of camphor poisoning.

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Key words: Medicinal plants, Camphor, Antiseptic, Abortifacient, Lactation suppressant.

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Emergency vehicles are an essential part of modern-day society, and their timely arrival at the site of an emergency is crucial for saving lives. However, in urban areas, the traffic congestion often slows down the movement of emergency vehicles, leading to delayed arrival and loss of valuable time. The Intelligent Traffic Signal System is a solution that aims to reduce this delay by dynamically adjusting the traffic signal timings in response to the approaching emergency vehicles. This research paper discusses the design and implementation of an emergency vehicles using Arduino and Radio-Frequency Identification (RFID) technology. The system uses RFID tags installed on emergency vehicles, which are detected by the RFID reader installed at the traffic signal. The Arduino board processes the data received from the RFID reader and adjusts the traffic signal timings accordingly, providing a green signal for the emergency vehicle to pass through. The results show that the proposed system can significantly reduce the delay in emergency vehicle arrival time and improve the overall efficiency of the emergency response system.

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Emergency vehicles, RFID, Arduino board, traffic signal, Intelligent Traffic Signal System

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People with Major Depressive Disorder have problems with the hypothalamic-pituitary-adrenal (HPA) axis and inflammatory systems that do not go away. Common methods of gauging cortisol include measuring diurnal fluctuations and assessing the cortisol awakening response (CAR). Activation of the hypothalamic-pituitary-adrenal (HPA) axis in certain people with severe depressive illness is one of the most robust and often seen discoveries in biological psychiatry. Some of these discoveries relevant to evaluating and treating depressed people will be discussed below. Understanding the cause and effects of HPA axis activation in depressed individuals will be a priority for future researchers. To add, there are drugs in development that target the HPA axis, which might one day be a standard component of a psychiatrist's or family doctor's toolkit for treating mental health issues. For a long, psychiatrists and neuroscientists have worked toward a deeper understanding of the biological roots of MDD and other mood disorders. The effects of neurotransmitters like norepinephrine and serotonin on major depressive disorder have been the subject of a great deal of research. There has also been research on the relationship between MDD and hormone levels and stress response.

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Major depressive disorder, HPA axis, neurotransmitters, TAAR, immune system, cortisol awakening response, inflammation

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Plant pots made out of recycled materials, such as discarded bicycle parts, offer a sustainable solution to reduce waste and promote eco-friendliness. These plant pots can be made from a variety of recycled materials, including metal frames, handlebars, rims, and pedals. By transforming these materials into plant pots, they can be given a new life and purpose while simultaneously reducing the amount of waste that would have otherwise ended up in landfills or oceans. Additionally, using recycled materials in the production of plant pots helps to conserve natural resources and reduces the need for virgin materials. In conclusion, plant pots made out of recycled materials are a sustainable and eco-friendly alternative to traditional plant pots, and can contribute to a more circular economy.

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Eco-friendly , Bio-degradable pots, plant pots, plastic waste , Recyclable waste.

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Our project focuses on the strategy for ecological sustainability in India's western ghats and we have mentioned about the importance in conserving and preserving the environment and the ecosystem which abides everything. In order to achieve this Ecologically Sensitive Regions (ESR) are targeted and these regions are the ones which has to be protected. In our study we mainly focused on the western ghats region such as kerala, Karnataka, Gujarat, Goa and these regions usually have a warm tropical weather which is suitable for everyone. Futher more, we have discussed about three major issues in this paper and those issues are development pressure, biodiversity issues and climate change

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Western Ghats, ESR( Ecologically sensitive region), Agroforest, Species distribution model

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In a nutshell, Alzheimer's disease (AD) is a condition that results in the brain's cells dying. It is the leading cause of dementia, which is characterised by a loss of mental capacity and independence in daily tasks. The cholinergic and amyloid hypotheses were put up as the disease's two main causes. AD is thought to be a complex illness. Furthermore, the disease is influenced by a number of risk factors, including advancing age, genetic predispositions, head injuries, vascular conditions, infections, and environmental variables. There are currently only two kinds of pharmaceuticals that have been licenced to treat AD, namely cholinesterase enzyme inhibitors and N-methyl d-aspartate (NMDA) antagonists. These medications are only effective in treating the symptoms of AD; they do not treat the underlying cause of the disease.

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Chaperons, heat shock proteins, -amyloid peptide, tau protein, hazards, and disease-modifying therapies for Alzheimer's disease

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The current trend of social media usage in today's twenty-first century has been tremendously increased. The rise of social media also affected consumer behaviors with a retailer brand. For example, out of 100 consumers who follow a brand on social, 87 visit the brand's website, 78 recommend that brand to family or friends, 67 increase spending with that brand, and 53 engage with that brand on social. Small businesses have found their presence on social media as it can help them build brand awareness and stay in touch with customers around the world. This research focuses on the analyzing results from case company's Instagram and Facebook accounts as a primary data. The emerging of Internet and social media usage encourages the author to do research about its impacts on the business development. The quantitative research method will be used to gather statistical data, along with the deductive approach to structural data analysis. Targeted research involved the case company's audiences on Facebook and Instagram accounts. To obtain the results, analytical tools are employed to gather necessary data, such as Google Analytics, Later Tool, Instagram Insights and Facebook Business Suits. The findings related to the effects of community building, social engagement, content interaction, brand awareness on these two platforms. These findings will be beneficial for the company to explore the opportunities to build online social networks, which platforms are best used for building brand awareness and interaction, as well as increase website traffic and sales.

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 Keywords

Social Media Marketing, Brand Awareness, Brand Recognition and Customer Engagement.

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