AEGIS FLARE: IOT-ENABLED ROBOTIC FIREFIGHTER FOR ADVANCED FIRE DETECTION AND SUPPRESSION
Modern techniques for identification and evacuation of fires are required because they represent a serious risk to human life, belongings, including the surroundings. In order to tackle this scenario, this research project presents Aegis Flare, IoT based autonomous rescuer. Aegis Flare uses OpenCV analyzing images to automatically identify fla...
By E. Veera Boopathy, M. Ishwarya Niranjana, S. Nethaji Naveen Prasath, P. Sivabalvigneshan, R. Sanjesh, S. Sanjay, A. Nithishkumar, S. Vishal
MEMS-ENABLED VIBRATION MONITORING AND DIAGNOSTIC EVALUATION FOR LONG-TERM HEALTH ASSESSMENT OF SWARNAMUKHI AND BHAKTA KANNAPPA SETHU BRIDGES IN SRIKALAHASTI
This study presents a year-long vibration-based structural health monitoring (SHM) of the Swarnamukhi River Bridge and Bhakta Kannappa Sethu Bridge using a MEMS accelerometer integrated with a low-cost microcontroller system. The monthly dynamic response parameters of acceleration, displacement, frequency, and velocity were monitored from June 2024...
By K. Asha Latha, K. Narasimhulu
AI INTEGRATED LANGUAGE LABS FOR TECHNICAL UNIVERSITIES AND THEIR IMPACT ON ENGLISH PROFICIENCY DEVELOPMENT
In the modern world of education, the use of Artificial Intelligence (AI) in language learning has caused a shift in approach, particularly in AI-enabled technical universities where learning the English language is critical for academic success and employment opportunities worldwide. This paper examines the concepts, design, and consequences of AI...
By Akbarbek Allashev, Mukaddas Akhmedova, Dilnoza Abduvakhabova, Nayira Ibragimova, Zulfizar Yakhshieva, Mukhayyo Kambarova, Muyassar Inomova, Madina Kholova
FEATURE SELECTION METHOD USING HYBRID SWARM WITH IMPROVED FUZZY C-MEANS CLUSTERING IN DATA MINING FOR DISEASE DETECTION
A crucial method for reducing the dimensionality issue in DM (Data Mining) tasks is FS (Feature Selection). Conventional techniques for FS do not scale well in vast spaces. The HPSO-IKM approach has a rather long processing time, so future studies will keep enhancing the technique's stages to reduce the duration of detection. PSO's poor local searc...
By M. Birundha Rani, Dr.A. Subramani
A ROBUST MACHINE LEARNING-BASED ENSEMBLE LEARNING FRAMEWORK FOR HATE SPEECH DETECTION IN LOW-RESOURCE SOCIAL MEDIA TEXT
The low-resource social media text i.e., Urdu tweets containing hate speech are identified with the help of a machine learning-based ensemble approach. The dataset used for this study consisted of 8,800 tweets and half of them were labeled as Hateful and the other half as No-Hate. In preprocessing, we took into account the features of Urdu normaliz...
By Husnain Saleem, Muhammad Javed, Kiran Hanif, Asad Ullah, Muhammad Usman Ghani, Muhammad Waqas, Muhammad Ali Khan, Sheraz Ali Hassan
EXPLORING THE IMPACT OF INNOVATION ON INDIA'S SCIENTIFIC EQUIPMENT INDUSTRY THROUGH GLOBAL PARTNERSHIPS
The paper discusses the importance of innovation in revolutionizing the scientific equipment market in India with a lot of focus on how it has changed supplier firms and its end consumers particularly the pharmaceutical industry. It underscores the use of new technologies and models of business with regard to improved operational performance and ef...
By Dinakar Lingam, Syed Jaffer
EXPERIMENTAL INVESTIGATION ON MECHANICAL AND FLEXURAL BEHAVIOUR OF CONCRETE WITH FOUNDRY SAND AS PARTIAL FINE AGGREGATE REPLACEMENT
Waste Foundry Sand (WFS) is the disposal that has been of great concern to the environment and this is as a result of high volumes generated in the process of metal casting. The building sector is developing eco-friendly alternatives to the natural aggregates in order to minimize environmental degradation and save natural resources. In this paper, ...
By John Sundarraj, Kesavan Govindaraj
IMPACT OF SMART TECHNOLOGIES ON PRECISION AGRICULTURE FOR SUSTAINABLE CROP MANAGEMENT
Precision agriculture using smart technologies has transformed sustainable crop management to solve the problem of rising food security, resource optimization, and environmental sustainability. In precision agriculture, modern hardware, including Internet of Things (IoT) sensors and objects, drones, and artificial intelligence (AI), is used to boos...
By Lalit Sachdeva, Utkarsh Anand
BIOGENIC SYNTHESIS AND ANTIBACTERIAL ACTIVITY OF SILVER NANOPARTICLES USING CYANOBACTERIA FROM THE ARID REGION OF HAIL, SAUDI ARABIA
This research paper examines the biogenic production of silver nanoparticles (AgNPs) using cyanobacterial strains (Spirulina, Nostoc, and Anabaena) that have been isolated in arid areas, Hail, in Saudi Arabia, and determines their antimicrobial effects in relation to multi-drug-resistant pathogens. Synthesis was done by incubating cyanobacterial bi...
By Sana M. Alenezi, Amal A. Al-Hazzani, Fatimah S. Alkhattaf
A DEEP ENSEMBLE LEARNING AND INTELLIGENT HYBRID FEATURE EXTRACTION MODEL FOR THE PEST DETECTION AND CLASSIFICATION IN CLOUD COMPUTING
This study presents an advanced approach for Pest Detection (PD) through automatic identification of invasive insects using Deep Ensemble Learning (DEL) and intelligent Feature Extraction (FE) techniques. The process begins with Z-score normalization (ZSN) to eliminate noise and improve classifier performance. Improved Feature Weighted Fuzzy Cluste...
By P. Bharathi, K. Dhanalakshmi