Authors: Azar Djamali

Abstract: This study reviews the application of Artificial Intelligence (AI) and robotic tools in terrestrial and extraterrestrial architecture. The rapid advancement of AI and robotics is transforming the architectural profession, enhancing creative exploration through data aggregation and analytics while complicating decision-making due to the vast datasets involved. Architects must balance technical proficiency with strategic discernment to harness AI's potential while addressing operational challenges. AI significantly impacts architectural design throughout the building lifecycle, influencing predictive analytics, construction supervision, and facility maintenance (Yangluxi Li et al.). As humanity moves toward interplanetary colonisation, architects are designing habitable structures for extreme environments. Notable projects include the Mars Habitat Concept by Foster + Partners and NASA (2015–2016), Mars Science City by Bjarke Ingels Group (BIG) for the UAE (2017–present), and Skidmore, Owings C Merrill’s (SOM) Moon Village concept, featuring inflatable modules, showcased at the Venice Architecture Biennale 2025. AI and AI-assisted robots, such as the Perseverance rover, enable adaptive and efficient design for harsh environments. This article synthesises insights from over 100 research papers, exploring how machine learning (ML), generative design, and autonomous systems will redefine extraterrestrial construction. By optimising structural integrity and resource utilisation, AI facilitates spatial optimisation and energy-efficient designs (Yangluxi Li et al., 2025). This study highlights the roles of AI, robotics, and automation in optimising terrestrial and extraterrestrial architecture, presenting scalable solutions for future colonies and providing actionable insights for space agencies and architects. By leveraging AI and robotic technologies, architecture can adapt to extreme environments and advance innovative designs for future inhabitants.

 

 

Published by: vikaspatanker

Authors: Nanthini.N.L, Sheeja.B

Abstract: Microplastics are tiny plastic pieces that are less than 5 mm in size. These small plastics enter the oceans through the breakdown of larger plastic waste or through products like face wash and toothpaste. They pose threats to marine life and potentially human health. This paper explains how microplastics are detected and removed, including advanced technologies such as spectroscopy and AI, as well as the challenges involved and the need for improved solutions.

 

 

Published by: vikaspatanker

Authors: Mohammed Swaleh Mohammed, Alice Nambiro, Bostley Muyembe Asenahabi, Eric Sifuna

Abstract: The Covid-19 pandemic significantly accelerated the adoption of e-learning, resulting in increased investment in digital education platforms and the generation of vast amounts of learner data, commonly referred to as big data. This shift has propelled the development of learning analytics, a field focused on the systematic collection, analysis, and reporting of data to better understand learner behavior and enhance educational outcomes. Despite growing interest in learning analytics, there remains limited understanding of its usability, particularly in assessing student performance within virtual learning environments. This paper presents a critical literature review examining the usability factors of learning analytics in the context of Kenyan universities. Using a desktop research approach, the study synthesizes existing research to identify key gaps and highlight usability dimensions relevant to performance assessment. The review identifies four primary factors influencing the usability of learning analytics tools: perceived usefulness, perceived ease of use, user satisfaction, and learnability. These findings provide a foundation for future empirical studies aimed at evaluating the impact of these factors on learner performance in virtual settings.

DOI: http://doi.org/10.5281/zenodo.17158417

Published by: vikaspatanker

Authors: Sm Hassab Qais

Abstract: In recent years, the Internet has become an important part of daily life for people all over the world. On the other hand, with the increase in online activities, cyber crimes are also increasing. Cybersecurity has made great strides in recent years to keep up with the rapid changes in cyberspace. Cybersecurity refers to the procedures a country or organization can use to protect its assets and information in cyberspace. Twenty years ago, the term "cybersecurity" was not recognized by the public. Cybersecurity affects not only individuals but also organizations or governments. In recent years, everything has become digital using various technologies such as cybernetics, cloud computing, smartphones and Internet of Things technology. Cyber attacks raise concerns about privacy, security and financial compensation. Cybersecurity is a set of technologies, processes and practices designed to prevent attacks, crimes and unauthorized access to networks, computers, processes and system information. The main purpose of this article is to provide an overview of cyber security types, why cyber security is important, cyber security methods, cyber security tools and cyber security issues. Cybersecurity protects the data and integrity of the organization's network or computing assets to protect them from threats throughout the life of a cyber attack.

 

 

Published by: vikaspatanker

Authors: Minal Jain, Mr.Aaron Dlima

Abstract: In recent years, the Internet has become an important part of daily life for people all over the world. On the other hand, with the increase in online activities, cyber crimes are also increasing. Cybersecurity has made great strides in recent years to keep up with the rapid changes in cyberspace. Cybersecurity refers to the procedures a country or organization can use to protect its assets and information in cyberspace. Twenty years ago, the term "cybersecurity" was not recognized by the public. Cybersecurity affects not only individuals but also organizations or governments. In recent years, everything has become digital using various technologies such as cybernetics, cloud computing, smartphones and Internet of Things technology. Cyber attacks raise concerns about privacy, security and financial compensation. Cybersecurity is a set of technologies, processes and practices designed to prevent attacks, crimes and unauthorized access to networks, computers, processes and system information. The main purpose of this article is to provide an overview of cyber security types, why cyber security is important, cyber security methods, cyber security tools and cyber security issues. Cybersecurity protects the data and integrity of the organization's network or computing assets to protect them from threats throughout the life of a cyber attack.

 

 

Published by: vikaspatanker

Authors: Neha Dongre, Dr.SunilSugandhi

Abstract: Soil stabilization can be explained as the alteration of the soil properties by chemical or physical means in order to enhance the engineering quality of the soil. The main objectives of the soil stabilization is to increase the bearing capacity of the clay soil, it’s resistance to weathering process and soil permeability. The long-term performance of any construction project depends on the soundness of the underlying soils. Unstable clay soils can create significant problems for pavements or structures, Therefore soil stabilization techniques are necessary to ensure the good stability of clay soil so that it can successfully sustain the load of the superstructure especially in case of clay soil which are highly active, also it saves a lot of time and millions of money when compared to the method of cutting out and replacing the unstable soil. This paper deals with the complete analysis of the improvement of clay soil properties and its stabilization using industrial waste sand and lime. The experimentation is carried out keeping 20% of lime as constant and industrial waste sand 10%, 20%and 30%. Disposal of these waste materials is essential as these are causing hazardous effects on the environment. With the same intention literature review is undertaken on utilization of solid waste materials for the stabilization of soils and their performance is discussed

 

 

Published by: vikaspatanker

Authors: Maurya Kiran M, Gadekar Mayuri N, Davkhar Kalyani U, Kadbhane Ashwini S

 

Abstract: This study investigated antibacterial activity of two medicinal plants: Tridax procumbens, and Lantana camara; they are common weeds often found in cultivated areas and wastelands, and hold significant importance in traditional Indian medicine. These plants are rich in a diverse array of secondary metabolites, including tannins, flavonoids, alkaloids, saponins, phenols, steroids, anthocyanins, proteins, and carbohydrates. These secondary metabolites are extracted using Soxhlet’s method and ethanol as a solvent. Screening of plants' phytochemicals is done as per standard protocol. In vitro, antimicrobial activity was assessed using the well diffusion method. The antibacterial activity of Ethanol extracts of these two plant leaves was evaluated against disease-causing bacteria, including Staphylococcus aureus., Escherichia coli, Pseudomonas aeruginosa, Streptococcus sp., and Klebsiella pneumoniae Combined ethanolic plant extracts exhibited maximum antibacterial activity compared to the individual plant extracts.

DOI:

 

Published by: vikaspatanker

Authors: Rajnandanikoshti, Assistant professor Anubhav Rai

Abstract: The Calibration and testing of light weight structure are very important part for building design. However proposed work is belongs for a different types of steel structure analysis. In this proposed steel structures main focus to reduce of total weight and easily design. Now these research work identification of best light weight structures using staad pro software. The main object of this work design a steel frames and compare both structures

 

 

Published by: vikaspatanker

Authors: S.Radha Krishnan, Assistant Professor,M.Aishwarya, Dr.R.Natarajan

Abstract: Fault detection in industrial systems is crucial for ensuring operational safety, minimizing downtime, and reducing maintenance costs. This work proposes a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) to detect and classify machine faults from time-series data. The CNN layers extract spatial features, while GRU layers model temporal depen,dencies in the data. The architecture incorporates residual connections to enhance gradient flow and improve learning efficiency. The model is evaluated on multi­ class fault detection datasets, achieving robust performance with high accuracy, precision, recall, and F1-score. Advanced metrics, including ROC-AUC, logarithmic loss, Cohen's Kappa, and Matthews Correlation Coefficient, demonstrate the model's reliability. Visualization of confusion matrices and detailed performance metrics validates its effectiveness in detecting anomalies and classifying fault types. This approach can be generalized for real-time monitoring systems in various industrial applications, ensuring predictive maintenance and operational excellence.

 

 

Published by: vikaspatanker

Authors: Abhishek Baghel, Usha Dhankar Vicky Mona

Abstract: The beauty and wellness industry is undergoing a dynamic transformation driven by changing consumer behaviors increased digital engagement and rising demand for natural and personalized solutions. As traditional retail models struggle to keep pace with these evolving expectations e-commerce has emerged as a critical enabler of growth and accessibility. This research focuses on the conceptualization and development of an e-commerce solution specifically tailored to the beauty and wellness sector. The study aimed to address the need for seamless product discovery transparency and convenience by integrating modern design practices with personalized shopping experiences. A user-centric approach was adopted to incorporate features such as secure payment systems high-speed delivery services product transparency and user reviews. The platform emphasizes accessibility for a diverse consumer base and delivers intuitive navigation and personalized recommendations to support informed decision-making. Additionally the inclusion of virtual assistance and educational features helps users better understand product ingredients usage and wellness practices. The methodology involved analyzing current market challenges identifying user needs and designing a scalable modular system architecture supported by modern web technologies. Results demonstrate the potential of digital platforms in building trust improving customer retention and delivering a holistic shopping experience in a competitive market. The study concludes by showcasing a case implementation that reflects these design and functionality goals offering a practical example of how digital transformation can reshape customer engagement in the beauty and wellness domain

DOI: https://doi.org/10.5281/zenodo.16595853

 

Published by: vikaspatanker