Journal of Applied Science and Education (JASE)

DDoS Attack Using Artificial Intelligence

2025-07-17T23:42:51+0530

In today's world we have reached a peak of technology where the use of artificial intelligence is booming all over. AI-powered agents are seamlessly integrating into code editors, pushing the boundaries of productivity and efficiency to unprecedented levels. With the increasing efficiency and accuracy, it has been observed that AI is challenging us with a new paradigm in the field of cyber security. This research addresses the critical challenge of DDoS attacks powered by artificial intelligence, which now exhibit a deranged level of complexity and potential for damage. These cutting-edge attacks represent a quantum leap in technological warfare. Unlike traditional human-initiated threats, AI can instantaneously identify vulnerabilities, craft intricate attack strategies, and execute them with machine-like precision. Imagine an intelligent system that can generate complex phishing schemes, create adaptive malware capable of ghosting through security systems, and orchestrate attacks with a level of speed and accuracy that outpaces human capabilities. The true game-changer lies in AI's ability to learn, adapt, and evolve in real-time; it can perform automated social engineering, leverage advanced data mining techniques, and continuously refine its approach based on immediate feedback. This dynamic nature of AI-powered attacks fundamentally challenges our existing cyber security frameworks, demanding a radical rethinking of defensive strategies and calling for innovative, intelligent counter-measures that can match the sophistication of these emerging threats.

AI-Based Weather Prediction

2025-07-17T21:34:27+0530

Weather prediction has always been challenging because the atmosphere is complex and constantly changing. Traditional methods use physics-based models that rely on mathematical equations to predict how the weather will evolve. However, these models take long time to run and have uncertainties, the results are not very efficient and accurate.

Now, Artificial Intelligence (AI) is helping improve weather forecasting (AI-driven forecasting). AI can quickly analyse huge amounts of weather data from satellites, weather stations, and radars. It learns patterns from past weather events and makes predictions faster and more accurately than 7traditional models.

Artificial Intelligence (AI)
Machine learning (ML) (particularly)
Deep learning (DL)

These are really helpful in revolutionizing weather forecasting by improving accuracy, reducing computational costs, and enabling real-time predictions.

Accurate weather prediction is essential for disaster preparedness, agriculture, and climate research. AI-based weather prediction offers a promising solution by integrating deep learning techniques with physics-based models to enhance forecast accuracy and efficiency. This paper explores hybrid approaches that combine machine learning with fundamental atmospheric equations to improve weather predictions. We discuss advancements in AI-driven parameterization, and uncertainty reduction, highlighting their potential to revolutionize meteorology.

The findings indicate that AI-augmented climate models can significantly improve forecasting capabilities, paving the way for more accurate and efficient weather prediction systems.

Stability and Perturbations of Chi-Phi Frame in Banach Spaces

2025-07-23T09:48:30+0530

Frames in relation to certain sequence spaces, specifically Chi-Phi frames, were introduced and studied. Further investigations into Chi-Phi frames and their various characterizations can be found. The stability and perturbation of frames are crucial in practical applications and have been extensively studied. In this paper, we examine the stability and perturbations of Chi-Phi frames and Chi-Phi Bessel sequences in Banach spaces, extending two important propositions from [3]and [7], respectively.

Deep Learning In Borel Measure

2025-07-17T19:59:46+0530

Deep learning has had a profound impact on computer science in recent years, with applications to image recognition, language processing, bioinformatics, and more. Recently, Cohen et al. provided theoretical evidence for the superiority of deep learning over shallow learning. We formalized their mathematical proof using Isabelle/HOL. The Isabelle development simplifies and generalizes the original proof, while working around the limitations of the HOL type system. To support the formalization, we developed reusable libraries of formalized mathematics, including results about the matrix rank, the Borel measure, and multivariate polynomials as well as a library for tensor analysis.

A Critical Study on Syllabus and Curriculum of English at the Primary and the Secondary Levels of Rohilkhand Region (Uttar Pradesh)

2025-07-17T23:36:06+0530

English pedagogy in India at primary and secondary levels sets a milestone for the forthcoming learners of the 21st century. This is a challenging task to a certain reasons for the teachers as well as the students. As mother tongue is incorporated as a medium during the delivery of English content by the majority of teachers in the classrooms, the social and cultural contexts also play a crucial role to affect English pedagogy along with many more linguistic factors. We are well acquainted that the system of mother tongue and its counterpart English entirely differs (SOV and SVO). The objectives of the study are to examine teaching methodology of English as practiced by English teachers at primary and secondary schools of Rohilkhand region of Uttar Pradesh in India.

Summation Formulae Associated with the Extension of Voigt Function and Bessel-Maitland Function and Its Applications

2025-07-17T23:29:20+0530

In this paper we establish a series expansion formula which involving Laguerre polynomial and extension of Voigt function in terms of H-function of two variable, by making use of an interesting generating function for Laguerre polynomial. For the sake of illustration, we obtain some special cases of our main results which are interesting and believed to be new.

Risk and Resilience in the Adoption of New Agrarian Technology by Rural Families: An Ethnographic Study of East Barddhaman District

2025-07-17T21:53:20+0530

The uptake of new agrarian technologies is a key driver of enhancing the agricultural productivity and food security in rural communities. Yet, the uptake of such technologies into conventional farming activities is usually accompanied by risks and challenges. This ethnographic research investigates the risks and resilience-related factors of the adoption of new agricultural technologies among rural households in East Barddhaman district, West Bengal, India. By conducting a close-up study of rural farming communities, the research explores the socio-economic, cultural, and environmental determinants shaping the adoption of technology as well as the adaptive strategies that farmers employ in negotiating perceived risks and constructing resilience.

M - projective curvature tensor equipped with an ϵ-kenmotsu manifold

2025-07-17T20:58:45+0530

In this paper, we studied the properties of ϵ-Kenmotsu manifolds that posses an M -projective curvature tensor. We have shown that ϵ-Kenmotsu manifolds with an M -projectively flat and irrotational M -projective curvature tensor are locally isometric to the hyperbolic space Hn(c), where c = −ϵ². Additionally, we have investigate the condition R(X, Y ) · S = 0 for M -projectively flat ϵ-Kenmotsu manifolds. Then we focused on the analysis of ϵ-Kenmotsu manifolds with a conservative M -projective curvature tensor. Lastly, we have certain geometric results for ϵ-Kenmotsu manifolds that satisfy the relation M (X, Y ) · R = 0.

Mathematical Modelling and Theoretical Exploration of Hybrid Blood-Nano-fluid Flow in a Stenosed Artery with Magnetization Effect

2025-07-18T07:03:45+0530

In this study, we investigate the effects of hybrid blood-nano-fluid flow in stenosis arteries under the influence of magnetization. The governing equations are expressed and solved using the standard finite difference method, and the key parameters, such as the flow parameter, Prandtl’s number, blood flow rate, and skin friction, are computed to detect the behavior of blood flow in stenosis arteries. The mathematical model uses blood as a Newtonian fluid and assumes that it is two-dimensional (2D).In order to give a thorough understanding of the physiological dynamics, the differences between these parameters are illustrated graphically. The results demonstrate that while a larger nano-particle volume fraction and Prandtl number result in a decrease in blood temperature, an increase in the flow parameter increases velocity. With the tailored use of nanoparticles, nanotechnology displays great promise from a biomedical perspective, especially in chemotherapy. For a more thorough and correct description of blood rheology, this study emphasizes the necessity for future modifications by adding more factors.

Impact of Digital Financial Literacy on Women Entrepreneurs with Special Reference to Viksit Bharat

2025-07-18T06:55:01+0530

Viksit Bharat means Developed India by 2047 on the 100 independence day of India government mission is to transform the country into developed entity means to raise the standard of living of people, upgrading the strong technology, building the best infrastructure, environment sustainability ,social progress and a strong economy. There are four pillars of Viksit Bharat that is Garib, Anna data, Women, Yuva. Women are the one of the pillars of this mission and focusing on their growth is necessary for economy. Women empowerment says women has freedom in taking their life decision like they have full freedom of education and doing jobs according to their choices ,taking advantage of opportunities and resources ,increase their self worth and must be economic empowered. These days everyone needs to be financially literate in order to make wise financial decisions and financial literacy assist individuals in becoming self-sufficient. We everyone have access to digital financial services like online payments, internet banking, and UPI which made our work easier, faster and convenient to use. Women need to be aware of these digital financial services so they can use them and make the best financial decisions. In reference of Viksit Bharat this paper will address how digital financial services affect women's empowerment. This paper is descriptive in nature and data gathered from various sources like e articles, government websites, journals, books. This paper examines government policies on women empowerment and digital financial literacy and also addresses the challenges and how to overcome with various strategies. Women empowerment and Digital financial literacy is important element of Viksit Bharat.