Volume 12 | Issue 3

 Abstract

All nations already spend a lot of time recycling. The most crucial task to enable cost-effective recycling is trash sorting, which is one of the tasks desired for recycling. In this essay, we make an effort to identify each individual piece of trash in the images and categories. it according to its suitability for recycling. We get knowledge of various techniques and provide a thorough assessment. Aid vector machines (SVM) with HOG features, basic convolutional neural networks (CNN), and CNN with residual blocks are the models we employed. We draw the conclusion from the comparison results that easy CNN networks, with or without residual blocks, perform well. The target database's issue with garbage categorization can now be successfully resolved thanks to deep learning techniques.

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convolutional neural networks, trash classification

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In today's rapidly changing business environment, organizations face numerous challenges and uncertainties that can impact their success. Building resilience has become a critical aspect of organizational strategy, enabling companies to navigate disruptions effectively. This article explores the concept of resilience in the context of a logistics company and outlines key strategies for fostering resilience at all levels. Effective leadership, a growth mindset, open communication, diverse teams, robust risk management, and investment in employee well-being are highlighted as essential components of building resilience. Embracing technology, learning from adversity, and creating a positive work environment are also emphasized. By prioritizing these elements, logistics companies can develop a resilient culture that enables them to thrive in dynamic and unpredictable environments, turning challenges into opportunities for growth and innovation.

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resilience, effective leadership, growth mindset, communication, diversity, risk management, employee well-being, technology, learning from adversity.

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In this study, we present a novel crop production system that uses machine learning to transform agriculture. Using advanced algorithms, the system accurately predicts crop yields based on historical and real-time information, and optimizes resource allocation and farming decisions. Our goal is to improve precision agriculture by creating reliable and adaptive models that account for the various factors that influence yield variations. Crop yield prediction is one of the challenging tasks in agriculture. It plays an essential role in decision making at global, regional, and field levels. The prediction of crop yield is based on soil, meteorological, environmental, and crop parameters. Incorporating sensor data and satellite imagery, the system will understand optimal planting strategies and irrigation programs for sustainable agriculture. Continuously improving collaboration with farmers and stakeholders ensures efficiency, while a user-friendly interface promotes widespread adoption. This innovation is an important step towards efficient, sustainable, and data-driven crop management in modern agriculture.

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 Keywords

Convolutional neural networks (CNN), Machine Learning (ML), Artificial Neural Networks (ANN), Application Programming Interfaces (API), Extreme Gradient Boosting (XGB) Support Vector Machine (SVM)

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The cutting-edge Biometric Vehicle Access and GSM Communication for Enhanced Security seamlessly combines biometric technology with mobile communication to fortify vehicle security. Utilizing fingerprint recognition and GSM connectivity, it establishes robust authentication processes while ensuring user convenience. The integrated GSM module enables instant communication between the vehicle and the owner's mobile device, providing real-time alerts for suspicious activities. Sophisticated algorithms minimize false acceptances, adapting to changes in finger conditions and environmental variables. Engine ignition depends on successful biometric authentication and owner verification via SMS, ensuring foolproof security. Using of Arduino mega 2560, GSM sim900A, AS608 fingerprint sensor module provides accuracy and efficiency outputs. This innovative system enhances user experience by eliminating traditional keys and addresses concerns regarding vehicle theft and unauthorized usage in today's dynamic landscape.

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Arduino Mega 2560, GSM SIM 900A Module, As608 Fingerprint sensor Module.

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Spent mushroom substrate (SMS) technology for wastewater treatment is an innovative approach that utilizes the by-products generated from mushroom cultivation to treat wastewater. Spent mushroom substrate refers to the leftover material from mushroom cultivation after the mushrooms have been harvested. This material is rich in organic matter and contains various nutrients, making it suitable for use in wastewater treatment processes. The SMS technology typically involves using the spent mushroom substrate as a substrate or filter medium in constructed wetlands or bio filtration systems. In these systems, the SMS acts as a bio filter, providing a surface for microbial growth and creating an environment where microorganisms can degrade organic pollutants and remove nutrients from wastewater. The effectiveness of SMS technology for wastewater treatment depends on factors such as the type of wastewater being treated, the characteristics of the spent mushroom substrate, and the design of the treatment system. Research has shown that SMS technology can be effective in removing pollutants such as organic matter, nitrogen, and phosphorus from wastewater, while also reducing odors and improving water quality. One of the key advantages of SMS technology is its cost-effectiveness and sustainability. Since spent mushroom substrate is a by-product of mushroom cultivation, it can often be obtained at low cost or even for free, reducing the overall cost of wastewater treatment. Additionally, using SMS for wastewater treatment helps to recycle organic waste and reduce the environmental impact of mushroom cultivation. Overall, spent mushroom substrate technology offers a promising approach to wastewater treatment that combines environmental sustainability with effective pollution control. Ongoing research and development in this field continue to refine and optimize the use of SMS for wastewater treatment applications.

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Biofiltration, Spent mushroom substrate (SMS), microbial growth, wastewater treatment

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UNESCO's Global Education Monitoring Report, 2021, shows that 11 million girls are likely to be out of school after the Covid-19 pandemic, and these girls are between the ages of 12 and 17. A study by the India Child Protection Foundation shows a 95% increase in the sale of child sexual abuse products during the Covid-19 pandemic. In other words, child trafficking, child rape and sexual abuse have increased in India. India currently has an infant mortality rate of 32 while urban areas have 23 and rural areas have 36. According to UNICEF data, 2 crore 90lakh 60 thousand children are orphaned and abandoned in India. The Fifth National Family Health Survey, 2019-2020, shows that 11 states in India have stunted child growth and 14 states have high rates of child underweight. India and nine other countries will account for half of the world's population growth by 2050. So there will be huge population growth in India in coming days. India's biggest challenge in this current situation is to build a better India. But it is not possible to build a developed India if the state is not aware of the development and education of children. Government of India has taken several programs for child protection and overall development.

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Child Protection, Child Rights, Child Labour, Child Development, Child Education.

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Abstract: This review-based article provides an overview of Indian university libraries and their evolution. Academic libraries in India have transformed from book repositories to dynamic learning spaces facilitating access, research, and knowledge creation. Rapid technological advancements have led to automation, extensive digital resources, and global partnerships. E-books, journals, institutional repositories, digital libraries, and consortia arrangements have expanded learning opportunities. Initiatives like Shodhganga, e-PG Pathshala, and NLIST have enabled access to e-content. Libraries now focus on user-centricity, providing customized services, mobile apps, virtual reference, and information literacy instruction. Open access is a priority, with institutional repositories and publishing funds. New services include research data management, IP rights support, maker spaces, innovation labs, and sustainability initiatives. Continuous assessment and staff development enable improvement. However, libraries face challenges like budget cuts and adopting emerging technologies like AI, VR and IoT. Advocacy for funding support and policy frameworks is required to reinvent libraries as future hubs of learning, technology, and scholarship

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Emerging, India, Libraries, Services, Universities.

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Video games are immensely popular and played particularly among teens, young adults and any aged groups.Video game addiction is also known as gaming disorder or internet gaming disorder, generally defined as a psychological and mental addictionby repetitive use of the Internet to play games frequently with different gamers, potentially leading to negative consequences in many aspects of life. Some players become more concerned with their interactions in the game than in their broader lives playing video games for extremely long periods of time.Video game addiction may have both short and long-term impacts on gamersand also it has become a serious public health issue with increased prevalence. Themostdebates surrounding the potential effects of video game engagement are focused on the mental health. It resultsan individual's ability to function in various life domains over a prolonged period of time.Parental and governmentconcern to remove or ban addictivepropertiesfor causing deviancyfrom video games. The main objective of this article is to know how games impact on lives and how often games are played among any aged groups

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Addiction, internet gaming disorder,compulsive gambling,mental disorder, conduct disorder

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Madhusudan Das was dedicated to the welfare of the people and development of the economy of Odisha. He had some ideas for economic change and developments which still have innumerable values for today's Odisha He was one of the early pioneers who laid the foundation of planned economic growth. He was of the view that economic emancipation was the prerequisite for political independence of the country. He nourished the view that the development of indigenous industries was the key to economic regeneration and self-rule.

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Self-rule, Swaraj, Economic-change, Odisha Artware, Utkala Tenary.

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Automatic Number Plate Detection (ANPR), also referred to as Automatic License Plate Recognition (ALPR), is a technology that plays a crucial role in modern surveillance and traffic management systems. This paper presents a comprehensive overview of ANPR technology, focusing on its technical aspects, implementation strategies, benefits, and impact on various sectors. The paper discusses the history and development of ANPR, key components of ANPR systems, image pre-processing techniques, license plate localization, segmentation algorithms, and optical character recognition methods. Furthermore, it explores the implementation of ANPR systems, including hardware requirements and software solutions, through case studies and examples of successful deployments. Ethical and legal considerations surrounding ANPR technology, such as privacy concerns and data protection regulations, are also examined. Additionally, the paper discusses future trends and challenges in ANPR technology, including emerging technologies, integration with other surveillance systems, and ongoing efforts to improve accuracy and reliability. Through this analysis, the paper highlights the significance of ANPR in enhancing vehicle surveillance, traffic management, and public safety, while also addressing potential concerns and avenues for further research.

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: License Plate Data, Object Detection Model, License Plate Detection, Optical Character Recognition (OCR), Regions of Interest (ROIs), Output Processing.

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Our platform redefines the NFT landscape by simplifying the process of buying, selling, and creating digital assets. With a focus on user-friendliness and accessibility, we provide a seamless experience where users can explore a diverse collection of NFTs, engage in safe transactions, and unleash their creativity through easy-to-use creation tools. Whether you're an experienced trader or a budding creator, our platform offers an effortless journey into the world of NFTs, inviting you to embrace innovation and explore limitless possibilities. Join our vibrant community today and experience the future of digital ownership firsthand!

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NFTs, digital assets, platform, user-friendly, accessibility, buying, selling, creating, diverse collection, safe transactions, creativity, creation tools, experienced traders, budding creators, vibrant community, innovation, limitless possibilities.

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Textiles have always been an integral part of human societies. Humans historically covered their bodies with a variety of materials, including animal skins and bark. The materials used for covering bodies have evolved from skin to natural fibres to synthetic man-made fibres. One of the earlier instances of utilising textile by fishermen was through spinning of natural fibres into yarn for knitting finishing nets to catch fish for their survival. Fabrics have played crucial roles in the cultural, economic, and spiritual development of their respective communities. Textiles are symbolic and are used in many religious or pious rituals, religious offerings. These have a spatial function, and are used in different forms in religious places, and are used for draping deities and covering religious scriptures. These have been used to preserve and protect sacred texts in various religious traditions. Additionally, textiles may have symbolic meaning in religious rites and ceremonies. For example, a textile or garment's colour, material, and design might invoke spiritual characteristics or transmit particular meanings. The current review paper discusses the use of diverse textiles in the worship practises of people from various regions and religions. The literature depicting the use of textiles by gods and goddess has also been discussed in the paper.

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textiles, religions, deities, ornamentation

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Kocuria kristinae

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In the landscape of Indian criminal justice, the condition of undertrial prisoners has emerged as a critical concern, warranting urgent attention and comprehensive solutions. This analytical study delves deep into the multifaceted dimensions of this issue, seeking to shed light on the historical underpinnings, current challenges, and potential strategies for effective rehabilitation. By delving into these complexities, this study not only seeks to shed light on the dire circumstances faced by undertrial prisoners but also advocates for meaningful reforms aimed at safeguarding their rights and restoring their dignity. Through the exploration of effective rehabilitation strategies and policy recommendations, this dissertation endeavors to contribute to the ongoing discourse on prison reform in India, emphasizing the imperative of upholding human rights principles and ensuring justice for all individuals ensnared within the criminal justice system.

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 Keywords

Undertrial Prisoners, Rehabilitation, Study, Research, Rights of Prisoners.

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Elon Musk founded Neuralink, a startup specializing in neurotechnology. The main objective of the company is to create a brain-machine interface (BMI) that can be implanted and improve the quality of life for individuals with serious brain and spinal cord injuries. This brain device, called a Brain Machine Interface, includes lengthy and slender wires with electrodes. The technology utilizes the small electric fields produced at synapses in the brain, translating this analog information into ones and zeros for use in the digital realm. The company's goal is to create harmony between humans and artificial intelligence (AI) to enable individuals to control robotic devices like exoskeletons using their thoughts. This technology could also facilitate communication for patients with conditions like locked-in syndrome, restore lost neuronal connections in diseases like Alzheimer's, and help prevent and treat drug-resistant epilepsy. Despite the promising results seen in early testing on small and large animals, there have been no clinical trials conducted up to now. More research is required to determine the safety and effectiveness of the Neuralink device.

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Artificial Intelligence, Brain-Chip-Interface(BCIs), Brain Reading Device, Neuralink, Neurology, Surgical Techniques.

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Predicting the amount of effort needed for software development is a major challenge encountered by the software industry. It includes planning, supervising projects, analysing the viability of the system development, preparing proposals and proposals presentation to clients, and among this estimation of the effort for planning is one of the most critical responsibilities. It is necessary to have good effort estimation to conduct a well budget. Accurate software project effort estimation is crucial for the competitiveness and success of software companies. For the forecasting of software program attempts, it's far vital to choose the suitable software program attempt estimation techniques. A number of have been proposed like algorithms, non-algorithms, Algorithms over machine learning, and so on. Generally, Decision Trees have drawn the attention of researchers and changed the direction of Effort Estimation towards computational intelligence. We are utilizing the DT concept in our project, which is a straightforward but effective strategy that serves as the foundation for Random Forest, also referred to as a collection of decision trees. Decision trees are facing data overfitting problem. To overcome this problem enhancement of the DT with the ensemble method proposed in this project and also to evaluate the performance of this proposed method using the COCOMO 81 dataset. To evaluate metrics like MSE and RMSE. Research comparing different methodologies indicates that the proposed technique outperforms prior approaches in terms of results.

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Software Cost Estimation (SCE), Decision Tree (DT), AdaBoost, Pruning, COCOMO 81, Mean Square Error (MRE), Root Mean Square Error (RMSE), and Machine Learning (ML).

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Patanjali Ayurveda Limited is an Indian FAST MOVING CONSUMER GOODS (FMCG) company. Manufacturing units and headquarters are located in the industrial area of Hardwar while the registered office is located at Delhi. The company manufactures mineral and herbal products. It also has manufacturing units in Nepal under the trademark Nepal Gram udhyog and imports majority of herbs in India from Himalayas of Nepal. Patanjali is the fastest growing FMCG company in India. It is valued at Rs.3,000 Crore (US$450 million) and some predict revenues of Rs 5,000 Crore (US$740 million) for the fiscal 2015-16. Baba Ramdev established the Patanjali Ayurveda Limited in 2006 along with Acharya Balkrishna with the objective of establishing science of Ayurveda in accordance and coordination with the latest technology and ancient wisdom.

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Key Words: Patanjali Ayurveda, Customers, FMCG, Products in Path Anjali

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ABSTRACT A quasi experimental study was conducted "A study to evaluate the effectiveness of video assisted teaching programme on knowledge and attitude regarding the use of menstrual cup during menstruation among GNM Nursing 2nd year students (20-21years) at KIMS College of Nursing , Amalapuram." OBJECTIVES OF THE STUDY : ? To assess the knowledge and attitude regarding the use of menstrual cup during menstruation among GNM Nursing 2nd year students. ? To evaluate the effectiveness of video assisted teaching programme on knowledge and attitude regarding the use of menstrual cup during menstruation among GNM Nursing 2nd year students ? To associate the post-test level of knowledge and attitude scores regarding the use of menstrual cup during menstruation with selected demographic variables. The reason approach used for this study was quasi approach and the design selected Pre experimental study with one group pre test-post test design. A total of 50 nursing students were participated in the study. The data was entered in the master sheet for analysis and interpretation. Descriptive and inferential statistical procedures such as frequencies, percentages, mean, standard deviation, paired t-test and chi square tests were use

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SD- standard deviation f - frequency df - degree of freedom % - percentage H - hypothesis

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The word "cosmetic" comes from the Greek word "kosmeticos," which meaning "adornment" and "preparation." is referred to as cosmetic in this context. Cosmetics are exterior preparations that are applied to the skin, hair, and nails of the body for purposes such as coloring, covering, softening, cleaning, nourishing, waving, setting, mollification, preservation, removal, and protection. This Research work is about consumer buying behaviour towards Revlon Brand Cosmetic Products. Revlon, is an American Multinational Cosmetics, skin care, perfume and personal care company. Revlon products are sold in 150 countries.

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1.Revlon Cosmetic Products 2. Consumer Buying Behavior

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The study investigates how the growth of CASA deposits influences the profitability of selected private sector banks, namely ICICI, HDFC, KOTAK, and Axis bank, addressing a significant gap in current literature. It aims to evaluate the comparative performance of these banks based on CASA deposit rankings and explore the relationship between CASA deposits and key financial indicators. Through a quantitative research approach and descriptive methods, financial data spanning five years (2018-2019 to 2022-2023) is analyzed, including CASA deposits, total deposits, investment, net interest income, and operating profit. Findings reveal HDFC's consistent dominance in CASA deposits among the selected banks, with strong positive correlations observed between CASA deposits and financial metrics across all banks. The study suggests prioritizing measures to enhance CASA deposit growth, as it positively impacts net interest income and operating profit. It emphasizes the importance of monitoring CASA deposit movements and developing customized strategies to capitalize on their beneficial effects on financial performance. By providing insights into the profitability dynamics of private sector banks, the research offers valuable recommendations for strategic decision-making.

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CASA Deposits, Private Sector Banks, Financial Indicators, Profitability Dynamics, Strategic Decision-making

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