Volume 13 | Issue 3 |

 Abstract

Federated Learning (FL) has emerged as a transformative paradigm for distributed machine learning while ensuring data privacy [2]. However, the integration of robust privacy-preserving mechanisms remains a key challenge. This paper presents an enhanced FL framework that incorporates Differential Privacy (DP) to strengthen data security while maintaining model accuracy [3]. A novel adaptive noise injection mechanism is proposed to optimize the balance between privacy protection and learning performance. Experimental evaluations on multiple real-world datasets demonstrate the efficacy of the proposed approach, showcasing improved resilience against privacy attacks without significant accuracy degradation [6].

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 Keywords

Federated Learning, Differential Privacy, Secure Machine Learning, Data Privacy, Privacy-Preserving AI.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

By utilizing BIND, the proposed DNS administration system enhances automation, performance, and security features to improve domain name resolution. Authoritative DNS, which ensures accurate and secure domain record management, and Recursive DNS, which efficiently resolves domain names by caching queries and reducing search times, are both included. Another system feature that improves network security and authentication is reverse DNS, which converts IP addresses to domain names. This capability is particularly useful for email validation and anti- spoofing. Using AXFR/IXFR protocols and TSIG authentication, the system provides Secure Zone Transfer to ensure safe data synchronization between DNS servers while preventing data interception and unauthorized access. Additionally, RNDC (Remote Name Daemon Control) provides remote administrative control for maintaining server performance, reloading zones, and upgrading DNS configurations via secure communication channels. In order to deliver a scalable, secure, and automated DNS infrastructure, the solution integrates these elements to maximize network speed and defend against DNS-based threats.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DNS Management, Recursive DNS, Secure Zone Transfer, BIND Server

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Complete Web-Based Cab Booking and Car Rental Solution aimed at fulfilling urban mobility requirements by integrating two services: on-demand cab booking for immediate rides and car rentals for long journey. This platform emphasizes innovative tech and user-friendly design, thereby amplifying the efficiency of urban transportation. This platform has the capability for a cab booking, as it will offer an offer concerning rides through a straightforward website that includes on-time tracking, fare estimates, and versatile payments. This feature becomes its design to suit short trips like daily commutes and errands. The other service on this platform is a car rental that provides choices for different vehicles suitable for various long journeys. The renting can be customized based on the user's preferences due to its transparent charges and variable rental times. This solution will combine two transport services that have been lacking a clear connection, enhancing resource allocation. The solution's future aspects such as carpooling, public transport connections, and environmentally friendly automobiles will redefine urban movement, thus encouraging sustainability and flexibility to transport users.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cab Booking, Car Rental, Web-Based Platform, Urban Mobility, Real-Time Tracking, Flexible Payments, Sustainable Transportation, Public Transport Integration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fault tolerance is a crucial requirement in embedded systems, particularly in critical applications such as aerospace, automotive safety, healthcare, and industrial automation. These systems must function reliably under extreme conditions while minimizing failure risks. Traditional fault-tolerant techniques, including Triple Modular Redundancy (TMR), checkpointing, and error correction codes (ECC), have limitations in terms of computational overhead, resource constraints, and adaptability to dynamic faults.This paper explores advanced fault-tolerant mechanisms, focusing on AI-driven fault prediction, adaptive redundancy management, and real-time self-healing techniques. A novel AI-based fault-tolerant embedded system is proposed and compared against existing methods, demonstrating higher fault detection accuracy (98%), reduced system recovery time (12ms), and lower computational overhead (18%). Furthermore, future research directions, including quantum computing, edge-based fault tolerance, and neuromorphic computing, are discussed. The study highlights the need for standardized fault-tolerance evaluation frameworks to enhance reliability in safety-critical embedded applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fault tolerance, embedded systems, AI-driven fault detection, real-time self-healing, redundancy management, quantum computing, edge computing, neuromorphic computing, standardization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper describes both the design and the implementation of an AI-based chatbot system which deals with typical college inquiries. The chatbot system is intended to provide quick and accurate responses to students' inquiries with regard to college admissions, courses, and related information. This system is done through the use of NLP and ML algorithms that enable the system to analyze and respond to user querie

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NLP (Natural Language Processing), ML (Machine Learning), AI-based Chatbot, Automated Assistance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The tremendous growth of technology and AI had its footprint in everything around the globe and beyond it. In the field of science fiction, Kizazi Moto: Generation Fire (2023), an animation anthology series that paved the new path of Afrofuturist vision of Africa through 10 different perspectives of 10 different nations of Africa. It presents a vibrant tapestry of tales that interweave deeply ingrained traditional themes with futuristic visions. This series provides African voices a forum to examine issues of technology, mythology, and identity in ways that are both distinctively local and have a worldwide appeal. The area of science fiction in Africa can't able to with stand on its own but wants to combine with other fields to make its stance. This essay tries to explain why African nations rely on culture to establish their identities in science fiction, as well as the rise of the new subgenres of Africanfuturism (a term developed by Nnedi Okorafor in 2019) and Afrofuturism (a word created by Mark Dery in 1993). In addition to the appearance, Kizazi Moto: Generation Fire adds to the increasing acknowledgment of African science fiction as a significant and transformational genre in the international cultural sphere with its inventive tales and striking visuals. This paper attempts to identify how scifiction genre is emerging in Africa on looking as a whole through the African lens of the series, Kizazi Moto: Generation Fire.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Africanfuturism, Afrofuturism, Culture, Africa, Science Fiction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The soil testing device is a user-friendly solution for assessing soil health. This soil testing device consists of sensors such as NPK sensor for detecting the amount of nitrogen, phosphorous, potassium present in the soil and DHT sensor for the measurement of humidity and temperature of the soil. By using Arduino microcontroller processes and collect the data which in turn sends top the ThingSpeak platform for visualizing and monitoring. The execution of this soil testing device helps farmers for agricultural purpose and agricultural scientists. This device helps in improving crop yield and environment friendly practices. This device not only helps in accessible soil testing but also can be improved for future enhancement by adding mobile application connectivity and sensors for soil analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soil testing device, ThingSpeak, NPK sensor, DHT sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The process of n women socially and economically has gained prominence through the Self Help Group (SHG) and its Bank Linkage Program. Numerous researchers and authors have praised the SHG initiative, considering it a key approach to promoting women's empowerment. SHGs are typically small, informal groups of people, usually women, who come together with a common purpose. The primary goal of this study is to evaluate the impact of SHGs on the socio-economic empowerment of rural women, as well as to assess the changes in their socio-economic, cultural, and behavioral conditions after joining the SHGs. Additionally, the study seeks to identify the key challenges and issues faced by SHGs in the selected area. The research is conducted in rural areas of Chitradurga distric, using both primary and secondary data sources. Primary data is collected through field surveys in the study area, focusing on a sample of 12 SHGs from Chitardurga district. Various aspects of the SHGs, such as educational background, age, economic status, and occupational patterns, are analyzed before and after members join the groups. The findings show that after joining SHGs, rural women members experienced significant empowerment, with noticeable improvements in self-esteem and positive behavioral changes.

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 Keywords

Keywords: Self Help Group (SHG), empowerment of rural women, challenges and issues faced by SHGs, before and after members join the group, self-esteem and positive behavioral changes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

They're selling in excess of an item; they're selling aspiration. In this task I will advance how Nike has caught 48% world game shoes industry through there splendid idea summoning MARKETING strategy. Nike didn't build its loyal fan base by harping on its iconic waffle shoes. In fact, Nike's ads rarely, if ever, mention their products at all. Indeed, Nike's promotions once in a long while, if at any time, notice their items by any stretch of the imagination. What their advertisements do, and progress nicely, is actuate feeling in the buyer through 'emotional marketing'. Every promotion is painstakingly created to bring out specific sentiments and requirements in the buyer that must be fulfilled by Nike items. It does this by hyping the customary story of a hard legend to defeat difficulty, eventually arising successful against a horrendous enemy. However, it's anything but a strict foe being battled for this situation. Nike takes the relationship to a level undeniably more interesting: the 'awful enemy' is the voice in your mind that tells you, "You can't". To that, the association says: "Just Do it".

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marketing, loyal, Low-cost Manufacturing, Targeting, Positioning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The evolving nature of temporal data across various domains such as finance, healthcare, and social media often hides complex patterns that traditional data mining techniques fail to capture. In this paper, we introduce a novel concept, "Temporal DNA," to decode the hidden chronological signatures within time-series data. By drawing inspiration from genetic sequencing, we present a hybrid approach that combines Temporal Segmentation, Chrono-Pattern Alignment (CPA), Motif Mining, Hidden Markov Models (HMM), and Ensemble Learning to uncover dynamic temporal patterns. These methods are integrated to extract meaningful sequences from time-series data, identify recurring temporal motifs, and predict future events with higher accuracy than conventional temporal pattern. The proposed methodology is evaluated on multiple datasets, demonstrating its effectiveness in identifying previously undetected time-based behaviors and its potential to enhance predictive analytics in fields such as finance, healthcare, and social media.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Temporal Data Mining, Temporal Segmentation, Chrono-Pattern Alignment (CPA), Hidden Markov Models, Ensemble Learning, Predictive Analytics, Temporal pattern detection

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Creative Commons Attribution 4.0 and The Open Definition