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
ONTOLOGY-ENABLED DIGITAL TWIN DESIGN WITH AI-BASED DATA MANAGEMENT AND PRIVACY-PRESERVING MECHANISMS FOR SECURE 6G COMMUNICATION SYSTEMS
Sixth generation (6G) communication networks are anticipated to facilitate the achievement of ultra-low latency, massive device connections, intelligent automation, and high-security in the end-to-end connectivity to accommodate new applications, including autonomous systems, immersive communications, and massive infrastructures of cyber-physical u...
By A. Mummoorthy, M. Rajeswari, K.S. Krishnapriya, S. Krithika, S. Suganya, Gafur Namazov, M. Nalini
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
A NOVEL TRANSFER DEEP LEARNING FRAMEWORK WITH CROSS-LINGUAL EMBEDDINGS FOR HIGH-RESOURCE AND LOW RESOURCE LANGUAGES FOR SENTIMENT ANALYSIS
Sentiment analysis (SA) is important in comprehending the opinions and online discussions of people in different languages, particularly in high-resource and low-resource languages. In the present paper, a new model of transfer deep learning is presented, which incorporates cross-lingual embeddings in an attempt to boost sentiment analysis in both ...
By Jayaprakash Vattikundala, M. Siva Ganga Prasad
ARCHITECTURAL DESIGNING THE NURSING HOMES IN TEHRAN CITY (AS A SAMPLE)
In recent years, there has been an increasing trend of entrusting the elderly to nursing homes, thus providing a suitable space that meets their physical, psychological, social, and spiritual needs has become necessary. The nursing homes is the first and simplest solution that can be considered for such individuals. However, considering the charact...
By Mahdi Aliyari
MODELS OF CONTEPMPORARY GEODYNAMIC PROCESSES ON THE RIM OF THE SARAJEVO DEPRESSION
The rim of the Sarajevo depression was exposed to a strong construction expansion, which was not followed by spatial planning documentation. This work presents models of modern geodynamic processes, which are mainly caused by technogenic effects. The characteristics of these processes mainly depend on the morphological properties of the terrain, ge...
By Aco Goljanin, Amel Demirović, Maida Žiko
GAPS OF INDIAN ELECTRICAL ENERGY SECTOR AND ITS OPTIMAL MITIGATION BY USING OPTIMAL UTILIZATION OF INDIAN RENEWABLE ENERGY POLICY WITH THE HELP OF THE P&O MPPT TECHNIQUE
Developing countries, especially, India, depend importantly on energy sources to perform their country’s industrial and economic activities. Mainly the two factors continuous population growth of the country and the rapid growth rate of industrialization of the country, the gap between electrical energy supply and demand for electrical energy...
By G. Suresh, D. Lenine
INTEGRATING ENVIRONMENTAL CONSERVATION AND SUSTAINABILITY INTO COAL MINING EDUCATION
Coal mining education needs to be integrated with environmental conservation and sustainability principles so that a new generation of environmentally responsible mining professionals will be developed. This paper discusses how ecological awareness and sustainable practices need to be taught in educational programs related to coal mining to overcom...
By Rahbar Khalikova, Feruza Jumaeva, Azizbek Nazarov, Mohinur Akmalova, Feruza Umarova, Elbek Botirov, Larisa Khaydarova, Mukaddas Abduraimova