AI-POWERED RECONSTRUCTION OF HISTORICAL ENGINEERING MANUSCRIPTS USING OPTICAL CHARACTER RECOGNITION
Preserving and interpreting historical engineering documents aids in appreciating the nature of scientific reasoning as well as technological advances. Digitization and detailed analysis are highly challenging for many of such documents which are handwritten, eroded and in delicate conditions. This paper presents research on reconstruction of histo...
By Navbakhor Iskandarova, Nargiza Burieva, Abdurahim Mannonov, Adil Kariev, Nodir Karimov, Zumrad Kasimova, Margubakhan Eshnazarova, Sadokat Abidova
FROM THEORY TO PRACTICE THE COMPREHENSIVE BENEFITS OF INTEGRATING AI IN EFL TEACHING AND HOW IT'S SHAPING THE FUTURE OF LANGUAGE EDUCATION
Artificial Intelligence (AI) software has enormous potential to remain a versatile teaching tool that is of great interest to academicians and educators. This qualitative case study was intending to apply AI in foreign language teaching. It bridged a research gap by examining the potential applications, benefits and drawbacks of this novel method. ...
By Dhina Suresh, S Prasath, M Praneesh, K Sathishkumar, Gulnora Gulyamova, Sayanika Deka Sarma, P Dharmendra Kumar
DEVELOPMENT OF A HYBRID AI-DRIVEN WATER MANAGEMENT SYSTEM FOR URBAN AREAS IN INDIA
This article introduces a cutting-edge solution, called the Hybrid AI-Driven Water Management System, to solve the critical issues of managing water resources in urban India. Most major Indian cities suffer from an increase in demand for water, poorly managed pipe networks, and an excessive amount of water being wasted due to leaks and other outdat...
By Sanjay Kumar, Sapna Bawankar
HORNED LIZARD-CATBOOST FRAMEWORK FOR CYBERBULLYING PREVENTION IN SOCIAL NETWORKS
Cyberbullying are becoming more susceptible to online social networks because of the large-scale usergenerated content. The current methods of detection are primarily post-event methods and lack built-in prevention strategies, thereby limiting their ability to ensure the protection of user privacy and platform security. In this paper, a H...
By N. Sheba Pari, K. Senthil Kumar
HIGH-PERFORMANCE ONE-STAGE BOOSTING PFC CONVERTERS WITH ADVANCED CONTROL FOR ENHANCED POWER QUALITY AND STABILITY
This article introduces an advanced controller technique, as well as a One-Stage Boosting Power Factor Correction (OSBPFC) converter. The proposed approach is oriented towards the creation of more powerful features (PQ), more desirable stability, and adherence to fundamental principles for input interfaces. This technique, which distinguishes it fr...
By M. Devi, S. Lakshmi
A HYBRID MACHINE LEARNING AND DEEP LEARNING ARCHITECTURE FOR AUTOMATED MEDICAL DIAGNOSIS USING HIGH-DIMENSIONAL CLINICAL AND BIOMEDICAL DATA
The speed of the electronic healthcare system, clinical information system, and biomedical sensing technologies has resulted in the creation of extremely huge high-dimensional and heterogeneous medical data. Such data have substantial potential to automatically diagnose diseases, but are difficult to use because they are feature redundant, nonlinea...
By Komal Saxena, M. Praneesh, S. Nancy Lima Christy, K. Nandhini, Tolib Rajabov, M. Nalini, Shalu Gupta
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