Volume 13 | Issue 3 |

 Abstract

The technique for anomaly detection in cloud-based networks is fundamental. Its usage is more specific to detecting intrusion and hardware failures, among other applications. The literature review has drawn 215 papers from the past decade focused on machine learning, deep learning, and statistical methods for anomaly detection in a cloud environment. Techniques of machine learning include three types: supervised, unsupervised, and semi-supervised learning for pattern identification; deep learning techniques include CNNs and RNNs, which are more accurate and efficient. Statistical methods are mathematical and probabilistic in nature and detect anomalies from the standard behavior. This review is based on important contributions, new research trends, and potential future directions for the improvement of the effectiveness and reliability of anomaly detection in cloud computing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Anomaly detection, Intrusion detection, cloud computing, Machine learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing complexity of electronic systems has amplified the importance of ensuring the reliability and functionality of integrated circuits (ICs), which form the foundation of modern digital devices. In many industrial and educational settings, ICs are still tested manually, a process that is time-consuming, error-prone, and inconsistent. These challenges often lead to faulty ICs being overlooked, which can result in critical system failures, increased maintenance costs, and compromised safety in electronic devices. To address these issues, there is a pressing need for an efficient, automated solution that eliminates the limitations of manual testing. Automated IC testers provide consistent, precise, and repeatable testing conditions, reducing the potential for human error and ensuring that only fully functional ICs are approved for use. Such a solution is essential for improving quality assurance practices and supporting applications like digital circuit design, distributed systems, and event-driven architectures. This research focuses on the development of an automated IC tester designed for basic logic gate ICs from the 74LSxx (TTL) and 40xx (CMOS) series. By employing a PIC microcontroller, the tester automates the evaluation of IC functionality and electrical performance, mitigating the risks of system-level failures. The project aligns with the need for accurate and efficient testing processes, contributing to advancements in digital system design and reliability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automated IC testing, logic gates, quality assurance, PIC microcontroller, digital systems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study is intended to examine the problems of adjustment among students studying in Degree colleges of Jammu city. Adjustment is the process of living itself or dynamic equilibrium of total personality. It is a long process in which an individual learns ways of behavior through which he enters a relationship of harmony with his environment. Adjustment affects the various aspects of a student's life. The present study was conducted to know the adjustment level among degree colleges students in relation to their five areas of adjustment i.e., home, health, social, emotional and educational. The investigator selected 200 students who are studying in various degree colleges of Jammu city. The tool used in the study was Adjustment Inventory for College students standardized by A.K.P Sinha and R.P. Singh (2012). The data thus obtained was analyzed by using appropriate statistical techniques such as mean, standard deviation and critical ratio. The result showed that there was significant difference in adjustment among boys and girls students studying in Degree colleges. Boys are more adjusted than girls in all five areas.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adjustment, home adjustment, health adjustment, social adjustment, emotional adjustment, educational adjustment, Gender

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Counting crowds is an important task in many regards, given the improvement of public safety, urban planning, and event management. Recent deep convolutional neural networks advancements greatly improve occlusion and view-point variation. This paper surveys the progression from the state-of-the-art methodologies, hybrid approaches focusing specifically on regression types for real-time applications, and indicates scaling frameworks with diverse datasets for future development.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crowd counting, Deep learning, CNNs, Density estimation, Hybrid approaches.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

????????? ???? ?? ????? ?? ????????? ?? ????? ?????? ??? ?? '??????' ?? ?????? ?? ?????? ?????? ?? ????????? ???????? ?? ??????? ?? ???? ????????? ????? ?? ?? ???????? ???? ??? ?? ?? ?????????? ????????? ????????? ???? ???? ?? ?? ?????? ?? ???? ?? ?????? ???? ?? ?? ??????? ??????????? ?? ?????? ????? ????????? ?? ??????? ???? ??? ????????????? ?? ????? ?? ?? ?????? ?? ????????? ??? ?? ?????? ??? ?????? ???? ???? ??? ???? ?? ??? ??? ???? ???? ??? ?????? ?? ????? ????? ?? ??? ????? ?????? ?? ????????? ?? ???? ?? ??? ?????? ??????? ????? ????? ?? ????????? ??? ????? ?? ??? ???? ???????? ?? ?????? ?? ????? ???? ??? ????????? ??????? ?????, ??????? ?? ??????? ?? ????? ???? ??? ?????????? ?? ???????? ???? ??? ??? ?? ??????? ???????? ????????? ?? ??????? ????????? ?? ?????? ?? ???? ???? ?????? ????????? ?? ????????? ??????? ?????? ????????? ?? ???? ?? ?????????? ????????? ?? ?????? ?? ???? ??? ?????? ? ?? ??????? ?? ??????? ???? ??? ?? ?? ? ????? ?????? ??? ????? ??? ????????? ?? ???????? ???? ??????? ?? ??????? ??????? (????????????? ??????????) ?? ?? ?????? ?? ?? ? ????? ??????????? ????? ?? ??????? ?????????? ???? ??? ??? ????????? ??? ?????? ??????? ?? ????? ?? ??????? ???? ?????? ????? ?? ???? ???? ???? ??? ??? ?? ?? ?????? ????? ??? ?????? ?????????? ?? ??????? ????? ? ??? ?? ?? ?? ??????????? ??? ?????? ????? ?? ?????? ?? ???? ??????? ?? ?? ??????? ?? ????? ?? ??? ?????? ?? ?????? ???? ??????? ?????? ????? ?? ?????? ??? ????????? ??? ???? ?? ????? ?? ???? ??? ??? ????????? ?? ????? ?? ?? ???? ?? ????? ??? ??? ???? ?? ??????? ??? ?? ????? ?? ????????? ?? ??? ??? ?? ?? ???? ?? ?? ???? ?? ????? ??? ?? ????????? ?? ????? ?????? ????????? ?? ?????????? ????????? ??? ???????? ???? ??, ????? ???? ??? ?????? ??????? ?? ??????? ?? ????? ?? ????? ?? ???????? ????? ??? ?????????? ????????? ?? ?? ????????? ?? ????? ?? ??????? ?? ???????? ?? ????? ?????? ??? ???????? ?? ?? ????????? ??? ???? ?? ???? ?? ???? ?? ????? ???? ??, ???? ?? ???? ???? ?? ??????? ???? ?? ????? ????? ????? ?? ????? ????????? ???? ????? ????? ?? ?? ??? ?? ???? ???

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

????? ????? - ??? ?????? ??? ??? ???? ??? ?? ??? ?? ?? ??????? ????? ?? ??? ??? ???????? - ???? ???? ?? ????? ?? ????? ???? ????? ??????? - ???-??? ???????? - ???????????? ?? ?? ????????, ????? ?????? ??? ?????? ????? ?? ?? ??? ??????? - ???? ?? ????? ?? ???? ??? ????????? - ????? ?? ???????? ???? ???? ?????? - ????? ????? - ???

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Management of soil is very important either directly or indirectly for the production of crop and environmental sustainability. The management of soil has become increasingly very important in recent years due to an increase in demand for food production. Thus, managing soil nutrient management and conservation practice has come up with a lot of challenges. Literature suggests that crop diversification is a process that apes a complex relationship between soil and plant that help in monitoring the extreme beneficial crop designs. This study focused on the diversified crop models for discovering the appropriate soil management for good production of crops and different soil management and fertility have been explained. The study outcome will be useful for farmers on crop soil management toward sustainable agriculture in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soil, Management, Crop, Sustainable Agriculture, India

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Energy is one of the major issues that the world is facing. In India, the supply of energy has been one of the major problems for both urban and rural households. About 60% to 70% of the energy demand of the country is met by fuel wood and agriculture residues. Solar energy is a renewable source of energy, which has a great potential and it is radiated by the sun. Renewable energy is important to replace the using of electric energy generated by petroleum. Solar power has become a source of renewable energy and solar energy application should be enhanced. The solar PV modules are generally employed in dusty environments which are the case tropical countries like India. The dust gets accumulated on the front surface of the module and blocks the incident light from the sun. It reduces the power generation capacity of the module.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar panel, Cleaning panel, Dust, Maintenance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the past ten years, the fintech revolution has changed the financial landscape in India, giving millions of previously neglected people access to formal financial services. Focusing on three objectives, this study investigates how fintech has affected financial accessibility in India. analysing how literacy levels have affected the uptake of fintech, investigating how developments in fintech have increased access to formal financial services, and assessing how fintech has affected different demographic parameters like age, gender, and occupation. Financial inclusion has significantly improved with the rise of digital banking, mobile payments, and online financial tools, particularly for those with low and medium literacy levels. Through the use of percentage-based statistical techniques to analyse primary data, this study draws attention to both the advancements and ongoing difficulties in attaining universal financial access. It highlights the ways in which fintech has improved accessibility for a range of demographic groups while also highlighting the obstacles that still stand in the way of fair financial inclusion. The results highlight how fintech technologies can help close gaps and promote financial inclusion among India's diverse population.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The Fintech innovations, Financial accessibility, Demographic analysis, Financial Inclusion, Risk management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper examines the role of sports in Maharashtra's school education system, focusing on government policies, grassroots initiatives, socio-cultural barriers, and the impact of sports on student development. Using secondary data from reports, policies, and case studies, the study highlights gaps in infrastructure, gender disparities, and the potential of sports to improve holistic learning outcomes. Recommendations for systemic reforms are proposed. This study examines the integration, challenges, and socio-educational significance of sports within school curricula across Maharashtra, India. Through qualitative and quantitative analyses of urban and rural schools, the paper highlights disparities in infrastructure, access, and prioritization of sports. Findings reveal that while urban institutions often align with national sports initiatives (e.g., Khelo India), rural schools face systemic issues such as inadequate facilities, limited trained staff, and cultural biases favoring academics over physical education. The study also underscores the positive correlation between sports participation and holistic student development, including improved academic performance, mental health, and social cohesion. The paper advocates for policy reforms to standardize sports education, enhance funding, and promote community-driven programs. By contextualizing Maharashtra's efforts within India's National Education Policy (NEP) 2020 framework, this research emphasizes the urgent need to reimagine sports as a cornerstone of equitable education rather than a peripheral activity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Kho-Kho, Kabadi, Fugadi, Cricket

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Legal chatbots are AI-driven virtual assistants designed to provide users with instant responses to legal queries, guidance on legal procedures, and automated assistance in various legal contexts. By leveraging advanced technologies like Natural Language Processing (NLP) and machine learning, these chatbots make legal services more accessible, efficient, and cost-effective. In the current technological era, chatbots represent the next significant advancement in the field of speech and conversational assistants. A chatbot, also referred to as a bot, is a piece of code designed and constructed to efficiently react to human input by leveraging innate abilities to comprehend questions and provide pertinent responses. Banking, healthcare, finance, legal, telecommunications, retail, logistics, travel, auto, sports, entertainment, and media are just a few of the industries and organizations that are adopting new interactive chatbots that are powered by artificial intelligence and deep learning. The overall chatbot architecture for response generation, application trends, and chatbots are all thoroughly examined in this study. Additionally, we contrast different chatbots according to their characteristics, languages, technology, and application domains. AI and deep learning-based chatbots are becoming an essential component of interacting with machines to get help and answer questions from clients.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence in Law, ChatGPT, Ethical Issues, Human Rights, Legal Issues, Large Language Models, Legal Chatbot, Safety, User Query Automation Natural Language Processing (NLP)

  License

Creative Commons Attribution 4.0 and The Open Definition