Volume 13 | Issue 4 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake News Detection, Machine Learning, Natural Language Processing, Text Classification, Deep Learning, Misinformation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agrigrow is an innovative venture for the cause of changing farm practices for maintaining sustainability, promoting food security, and raising the livelihood of local farming communities. At a time when the world is facing the twin challenges of rising population and depleting resources, Agrigrow intends to bridge the gap between traditional farm practice and high-tech technologies. By adopting sustainable farming practices, Agrigrow intends to raise production while preserving the ecosystem. The project focuses on community engagement, guaranteeing farmers have the information and technology to thrive in a changing climate. The motivation for initiatives like Agrigrow is often led by a series of core drivers. With growing populations, a vital need is to produce more food in a sustainable way to ensure everyone can afford healthy food. The vast majority of farming methods are detrimental to the environment. There is a strong incentive to adopt measures that use natural resources sparingly and promote biodiversity. Technology advances have the potential to significantly enhance agricultural productivity and efficiency, prompting projects to pursue and adopt these advances. Farmers are our local partners, enabling local farmers with information, assets, and market access makes them stronger and enhances resilience. Promote ecologically friendly agriculture practice to sustain resources for future generations. Improve productivity and yields of crops through the use of innovative methods and technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

crop management, efficiency,farmer-friendly Chatbot, soil health, sustainainable farming

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Creative Commons Attribution 4.0 and The Open Definition

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The Valmiki Tiger Reserve (VTR), a crucial habitat for the endangered Bengal tiger (Panthera tigris tigris), is situated in Bihar, geographically within the Himalayan Terai region along the Indo-Nepal borderlands.This review explores the factors affecting tiger survival and movement, focusing on habitat suitability, corridor connectivity, and conservation efforts. Habitat fragmentation caused by agriculture, infrastructure, and human encroachment impedes tiger dispersal, affecting genetic diversity and long-term viability. Corridors linking VTR to Nepal's Chitwan and Parsa National Parks are vital but threatened by deforestation and development. The review evaluates tools like GIS modeling and field surveys in identifying suitable habitats and functional corridors. Poaching, human-wildlife conflict, and declining prey populations further threaten tigers. Current conservation efforts--habitat protection, anti-poaching actions, community initiatives, and cross-border collaboration--show promise but require strengthening. The study emphasizes integrated, landscape-level strategies and community engagement to safeguard the Bengal tiger population in VTR and surrounding areas.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bengal tiger, Valmiki Tiger Reserve, connectivity, survivability, conservation, human-tiger conflict.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes are widespread health issues around the world. Both Insulin Dependent (Type 1) Diabetes Mellitus and (Type 2) Diabetes Mellitus are prevalent, with Type 2 diabetes being more common and often associated with lifestyle and diet. The prevalence of heart disease varies by region, but it affects people of all ages, genders, and backgrounds. Neural networks techniques have been applied to diabetes in various ways to assist in diagnosis, management, and treatment. Neural networks can be used to develop predictive models that analyses patient data, including Cholesterol, BMI, to diagnose diabetes or predict the risk of developing diabetes in the future. Neural networks can be trained to predict the risk of diabetes. The existing dataset is pre-processed. Using feature extractions, highly correlated features are extracted. The performance of the model was evaluated through accuracy. A user interface was also developed for clinical use.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Random Forest, BPNN, PCA, CV, ECV, Cardiovascular, Diabetic,PSO

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such as URL length, domain age, HTTPS usage, and redirection patterns to train a CNN model.The potential applications include browser extensions, email filters, and cybersecurity tools. The proposed approach improves user protection against phishing attacks and mitigates the risks associated with it. This research underlines the efficiency of machine learning in dealing with dynamic and evolving cybersecurity challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phishing Detection, URL Analysis, Machine Learning, Deep Learning, Feature Extraction, Decision Trees, Real-Time Detection, Convolutional Neural Networks (CNNs)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A dual-axis steering mechanism is an advanced steering system that allows a vehicle or robotic system to operate with two independent axes of rotation, usually one horizontal and one vertical. This innovative mechanism is designed to provide enhanced maneuverability, precision, and control over conventional single-axis steering systems. By enabling movement along both axes simultaneously or independently, the dual-axis steering mechanism significantly improves a vehicle's ability to navigate through tight spaces, sharp turns, or uneven terrains. In traditional steering systems, movement is restricted to a single axis, typically horizontal, limiting the vehicle's ability to change direction efficiently or perform complex maneuvers. The dual-axis system, on the other hand, allows for more versatile movement, including the ability to make sharp turns while maintaining stability, reduce the turning radius, and increase the adaptability of the system in diverse environments. This makes the dual-axis steering particularly valuable for applications in autonomous vehicles, off-road vehicles, and robotic systems where precise control and navigation are essential. The dual-axis mechanism involves intricate mechanical components, such as rotating joints, actuators, and control systems, which work together to achieve independent movement on both axes. While offering significant benefits in performance, such systems also introduce challenges related to mechanical complexity, weight distribution, energy efficiency, and durability. Nonetheless, the advantages in terms of improved maneuverability, stability, and control make the dual-axis steering a promising technology for future applications in various fields, including robotics, autonomous vehicles, and specialized transportation systems. The dual-axis steering mechanism represents a significant advancement in steering technology, offering enhanced maneuverability, precision, and control compared to traditional single-axis systems. By enabling independent movement along both horizontal and vertical axes, it allows vehicles and robotic systems to navigate complex environments with greater ease, making it especially valuable in applications like autonomous vehicles, off-road navigation, and robotics. While the implementation of dual-axis steering presents challenges such as mechanical complexity, energy efficiency, and weight management, the potential benefits in terms of improved stability, reduced turning radius, and increased adaptability outweigh these obstacles. As technology continues to evolve, the dual-axis steering mechanism is poised to play a pivotal role in the future of advanced mobility and autonomous systems, driving innovation and performance across various industries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Conventional steering mechanism,constant velocity axle,Design and planning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The research conducted focused on examining the unique properties of Agave Americana Flower Stem fiber (AAFS), particularly its behavior under quasi-static tensile conditions. A total of 200 AAFS fibers were subjected to tensile tests using a standard gauge length of 40 mm. Tests spanned seven groups with quantities (N) ranging from 30 to 200. The study aimed to understand the fibers' mechanical traits, as tensile resistance and modulus of elasticity, and to see how different test quantities influence these properties. A significant observation was the dispersion of the tensile characteristics of AAFS fibers, a common trait of natural fibers. To understand this, we applied rigorous statistical tools, including the Weibull distribution at a 95% confidence interval and one-way ANOVA. A mathematical model was produced utilizing data from experiments regarding the tensile behavior of AAFS fibers. The ANN provided correlation coefficients (R2) of 0.9897, 0.9971, 0.9993, and 0.9939 for training, validation, testing, and all datasets respectively, which were able to accurately predict the experimental data. The proposed model would be of tremendous assistance to engineers and designers in obtaining green composite materials that are based on natural fibers and thereby more durable. These methods illuminated the patterns in our results, enriching our understanding of AAFS fiber mechanics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agave americana, Artificial neural network, tensile behavior, statistical methods,Weibull, statistic, hazard function, Wireless sensor network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AI Resume Analyzer is an intelligent system that leverages Natural Language Processing (NLP) and Machine Learning to evaluate resumes efficiently. It extracts key information, matches qualifications with job descriptions, and provides insights to streamline recruitment, ensuring accurate, unbiased, and faster candidate screening for HR professionals and employers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NLP (Natural Language Processing) Resume Parsing, Resume Analysis, Google Gemini AI, Streamlit Application, Skill Gap Detection, Career Recommendation System, OCR Resume Parsing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayushman Bharat, launched by the Government of India in 2018, represents a landmark reform in the country's healthcare landscape. Envisioned as a step toward Universal Health Coverage (UHC), the scheme combines health insurance for secondary and tertiary care with the establishment of comprehensive primary healthcare infrastructure. This article examines the structure, objectives, implementation, achievements, and emerging challenges of Ayushman Bharat, with a focus on its role in transforming India's healthcare delivery system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ayushman Bharat, Universal Health Coverage (UHC), Public-private partnership, Pradhan Mantri Jan Arogya Yojana (PM-JAY), Health and Wellness Centres (HWCs), out-of-pocket Expenditure

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of this study was to evaluate the knowledge gap by assessing the knowledge and attitude regarding pulmonary TB among the rural population of Charar-i- Sharief Budgam Kashmir. This descriptive study aims to assess the level of knowledge and attitude towards pulmonary tuberculosis (TB) among the rural population of Charar-i-Sharief, Budgam, Kashmir. A quantitative research approach was adopted, and a convenient sampling technique was used to select participants. Data were collected using structured questionnaires for assessing knowledge and attitude, with an interview schedule to facilitate data collection. Data collected was organised and analysed according to the objectives of the study using descriptive and inferential statistics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge, Attitude, pulmonary tuberculosis, AFB, DOTS.

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Creative Commons Attribution 4.0 and The Open Definition