Daily Archives: June 19, 2026

Authors: Dr Vinit Kumar Sharma, Insaf Ali

Abstract: Group Theory is one of the fundamental branches of modern algebra and provides the mathematical framework for studying symmetry, transformations, and algebraic structures. This paper presents a comprehensive study of groups and their fundamental properties, including closure, associativity, identity, inverses, commutativity, cyclicity, normality, solvability, and nilpotency. The paper examines finite and infinite groups, discusses important classification theorems, and highlights applications in cryptography, coding theory, physics, and computer science. A graphical analysis is presented to compare major classes of groups according to their structural complexity. Recent developments in finite group classification and graph-theoretic approaches to group theory are also reviewed.

DOI: http://doi.org/10.5281/zenodo.20759238

Published by: vikaspatanker

Authors: Sai Kumar S L, Ramu B T, Mallikarjun Heroor, B M Shree Lakshmi, Dr. Mydhili Nair

Abstract: For exponential growth of user-generated content (UGC) on video-sharing platforms necessitates the development of highly efficient and scalable automatic content moderation and spam detection algorithms. Traditional manual review techniques are overwhelmed by the sheer volume and real-time nature of video uploads, which leads to unequal enforcement, moderator fatigue, and prolonged exposure to harmful content. This work offers a unique, multi-modal Video Content Moderation and Spam Detection tool that applies artificial intelligence and machine learning to handle these problems. To detect violent, sexually explicit, and policy-violating pictures, the system incorporates sophisticated Computer Vision (CV) techniques, such as frame-by-frame analysis, object detection, and visual hashing in order to identify hate speech, harassment, fraudulent schemes, and spam indications (such as harmful URLs, repetitive content, and behavioural anomalies), Additionally, it analyses video titles, descriptions, and comments.

DOI: http://doi.org/10.5281/zenodo.20758833

Published by: vikaspatanker

Authors: Assistant Professor Dr. K. N. Kazi, Bandgar Pooja Kisan, Chavan Sahil Sanjay, Mali Nikhil Vikas

Abstract: Rising energy consumption and increasing electricity costs have created a need for intelligent energy management systems. This paper presents an AI-Powered Voice-Controlled Energy Tracking and Bill Prediction System developed using Java Full Stack technology and Machine Learning techniques. The proposed system enables users to monitor real-time energy consumption, predict future electricity bills, and interact with the system through voice commands. Historical energy usage data is analyzed using machine learning algorithms to forecast future consumption patterns and billing amounts with improved accuracy. The voice-controlled interface enhances user convenience and accessibility by allowing hands-free operation and quick access to energy-related information. The system integrates a responsive web application, database management, and predictive analytics to provide a comprehensive energy monitoring solution. Experimental results demonstrate that the proposed model effectively tracks energy usage, generates accurate bill predictions, and promotes energy-saving behavior among consumers. This solution contributes to the development of smart energy management systems and supports efficient utilization of electrical resources in residential and commercial environments.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Bhonde Vrushali Baban, Patil Renuka Rajendra, Wakle Anita Ashok, Kulkarni Mrunmayee Mangesh, Archana Sachin Gaikwad, Poornima Nandu Pathak

Abstract: SMS spam is becoming more frequent as spammers use it to reach their targets. Although spam messages can be annoying, they can also be dangerous because they might try to steal personal information or direct users to harmful websites. This work explains how SMS spam is detected. It describes the different types of spam, the features used to find them, and the methods used to stop them. We also talk about some of the difficulties in identifying SMS spam and possible future methods to deal with them.

DOI: http://doi.org/10.5281/zenodo.20757483

Published by: vikaspatanker

Authors: Vivek Saindane, Kashish Kazi, Shraddha Bute, Saher Raje, Sushama Punde, Devyani Sharma

Abstract: The rapid growth of electric vehicles (EVs) is stressing the need for intelligent, scalable charging infrastructure. This survey of 18 IEEE studies (from 2020–2025) examines cloud- and edge-enabled EV charging station location and booking systems. We chronologically synthesize each work, highlighting methods (e.g. mixed-integer programming, metaheuristics, game theory, digital twins, block chain, and privacy-preserving algorithms) and key findings. Gaps emerge in integrated reservation models, dynamic spatio-temporal demand, and user privacy. We identify research needs such as privacy-aware locators, real-time scheduling, and cloud-edge architectures. We propose illustrative system designs and mixed-integer models (for station placement and reservation scheduling) and offer design suggestions for future EV locator/booking platforms. These contributions lay the groundwork for dynamic optimization and secure, user-centric EV charging services.

DOI: http://doi.org/10.5281/zenodo.20757358

Published by: vikaspatanker

Authors: Assistant Professor Mrs. Pratibha Makar, Ms. Priyanka Kamthe, Ms. Shewta Dandwate, Dr. Vijaykumar Kale, Associate Professor Dr. Mahesh Thakare, Assistant Professor Mr. Vaibhav Narawade

Abstract: Cosmetics are unbelievably in demand since historical time. These days people prefers naturally derived cosmetic products. Cosmetic plays a important role in today’s life style. Along all cosmetic products, Natural lip balm preprations are most widely used to increase the beauty of lips and add glamour touch and shine to the beauty. Herbal formulation is a sign of safety, satisfaction and surety as less or no harm to the users and so herbal Lipbalm can be made without the colors being compromised on. Lip balms provides a natural way to promote healthy and moisturized lips. Coloring lips is the ancient practice to increase the beauty of lips and to give shine to the face. Current cosmetic lip products are based on use of toxic chemical ingredients with various adverse effect. That’s why it leads to study natural ingredients used to production of natural lip balm. This lip balm is formulated according to the scientific procedure and evaluated as per standard requirements. This article reviews on the natural ingredients used for natural lip balm along with their advantages and disadvantages. The present study focuses on the formulation and evaluation of a herbal lip balm using natural ingredients with moisturizing, healing, and protective properties. Herbal cosmetics have gained significant popularity due to their minimal side effects and enhanced therapeutic value compared to synthetic products. The lip balm was formulated using natural waxes, oils, and herbal extracts such as beeswax, coconut oil, almond oil, shea butter, and plant-based coloring or flavoring agents. Different formulations were prepared by varying the concentration of ingredients to obtain an optimized product with desirable characteristics. The prepared herbal lip balm formulations were evaluated for various physicochemical parameters including color, odor, pH, spreadability, melting point, stability, homogeneity, and skin irritation. The formulations showed good consistency, smooth application, acceptable stability, and no signs of irritation during the study period.

DOI: http://doi.org/

Published by: vikaspatanker