EVALUATING THE EFFECTIVENESS OF PREDICTION TECHNIQUES FOR CYBERATTACKS: A COMPREHESIVE TAXONOMY
The rising threat of cyberattacks in today's society emphasizes the urgent need for improved methods to both detect and prevent these incidents. This paper focuses on assessing the effectiveness of various techniques for predicting cyberattacks. The DTCF taxonomy was proposed for predicting these attacks, considering datasets, techniques, challenge...
By Azhar F. Al-zubidi, Alaa Kadhim Farhan, Abeer Alsadoon
AN ADAPTIVE MPC FOR ALTERNATE ARM MODULAR MULTILEVEL CONVERTER PV TIED GRID CONNECTED HVDC TRANSMISSION NETWORK
The Modular Multilevel Converter (MMC) has emerged as the preferred architecture for integrating renewable energy power plants into the grid via undersea HVDC cables and HVDC overhead lines. However, to mitigate the significant power pulsations introduced by the single-phase AC–DC conversion in its arms, the MMC necessitates the use of large ...
By D. Lenine, P. Sai Sampath Kumar, B. Venkatesh Reddy, K. Jagadeesh, P. Sesi Kiran, J. Surya Kumari
HISTORICAL PERSPECTIVES ON RENEWABLE ENERGY ADVANCEMENTS AND THEIR ROLE IN SHAPING GLOBAL ENERGY EFFICIENCY STRATEGIES
Renewable energy technologies have existed since the earliest days of energy conservation and preservation, which have been critical to the development of modern energy conservation plans around the globe. Although the earliest applications of wind, water, and solar power date back to the second millennium, the development of renewable energy has t...
By Nargiza Jabborova, Nozimjon Ibrokhimov, Feruza Kilicheva, Sabohat Alimova, Sevara Begmatova, Gulshan Aliyeva, Abdulaziz Mattiyev
DESIGNING THE EDUGROWTH MODEL TO OPTIMIZE STUDENT SUCCESS AND ACADEMIC PERFORMANCE
The EduGrowth model will maximize student success and academic achievement through a combination of individualized learning approaches, student service, and student data-based decision-making. The paper discusses the main aspects of the model and its implementation in learning institutions. It emphasizes the need to customize learning strategies ac...
By Najmitdinov Akhadkhon Khamitdkhanovich, Ibragimov Ulmas Rakhmanovich, Azizov Azizbek Sabitkhanovich, Dadajon Dadabayev Rustamovich, Abdumutalliev Abdulakhad Abdusamad ugli
INTERSECTION OF PHILOLOGY AND SOCIOLOGY IN ANALYZING THE LINGUISTIC LANDSCAPE OF POSTCOLONIAL NATIONS
The paper delves into the query of how philology and sociology intersect when it comes to studying the linguistic terrain of postcolonial countries. The paper will explore the functionality of language in the public spaces as a symbol of power, identity, and resistance in postcolonial settings, with a specific emphasis on the linguistic signs in th...
By Sirojiddin Nurmatov, Dildora Mamaraimova, Nargiza Akhmedova, Gullolahon Mehmonaliyeva, Mehrinoza Alieva, Feruza Shukurova, Sarvinoz Qodirova, Nilufar Abdullayeva
TEMPORAL PROPAGATION MODELS FOR SMART CONTRACT TRIGGERS IN BLOCKCHAIN-ENABLED SAP INVOICING SYSTEMS
Researchers have begun coupling SAP invoicing engines with blockchain smart contracts to automate document flows and provide an audit trail that cannot be tampered with. Still, a nagging obstacle is the mismatch between the timestamps SAP assigns to events and the moments when those same events are registered on a blockchain. In an effort to quanti...
By Nagendra Harish Jamithireddy
ENHANCED INDUSTRIAL VISION SYSTEM BASED TEXTURE CLASSIFICATION USING DCTP AND DPNN MODELS
The paper will discuss the issues with industrial vision systems in detecting defects, especially in the manufacturing of tyres, where changes in exterior light and distortion will compromise the accuracy of defect detection. The suggested scheme combines Directional Convoluted Ternary Pattern (DCTP) in the extraction of texture features and Distri...
By N.P. Rajeswari, M. Vijay
SUPPLY CHAIN INTEGRATION AND CLOUD BASED OPERATIONS MANAGEMENT FOR RESILIENT SMART MANUFACTURING SYSTEMS
The research introduces Cloud-SCIM (Supply Chain Integration and Cloud-Based Operations Management to Resilient Smart Manufacturing) model, which aims to solve the problems of the modern manufacturing system. The model leverages cloud computing, IoT, and AI analytics to harmonize supply chain operations, boosting efficiency, flexibility, and resili...
By Lalit Sachdeva, Utkarsh Anand
DEEP LEARNING-GUIDED GENOMIC PROFILING FOR BRAIN TUMOR SUBTYPING USING HYBRID FEATURE SELECTION AND ENSEMBLE CLASSIFICATION
The problem of brain tumors is a range of different subtypes, which have a variety of clinical forms, and the diagnosis and treatment of tumors is a challenging task. This paper introduces a hybrid deep learning system that combines genomic profiling with MRI image analysis to provide an effective brain tumor subtyping. The framework is initiated b...
By M. Yuvaraja, S. Sureshkumar, J. Dhanasekar, Vilas Namdeo Nitnaware, M. Sowmya, D. Kumar
NEXT-GEN PHYSICS EDUCATION: AR/VR-POWERED SIMPLE PENDULUM LEARNING FOR OBE AND NEP 2020
The rapid advancement of immersive technologies has opened new possibilities for enhancing physics education through virtual learning environments. This study presents the design, implementation, and evaluation of an AR/VR-based Simple Pendulum virtual laboratory developed using the Unity platform to support Outcome-Based Education (OBE) under the ...
By Alex Mathew, K. Martin Sagayam, J. Samson Immanuel, P. Esther Jebarani