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
AI FLEXIBLE WORK AND STRATEGIC HRM DRIVING ORGANIZATIONAL PERFORMANCE
The fast development of digital technologies has transformed the organization and work relations, and the process of the digitalization of Human Resource Management (HRM) has become significant in optimizing the performance of the organization. In this paper, I am going to examine how Artificial Intelligence (AI), flexible work environments, and st...
By E. Pavithra, K. Sathishkumar, G. Kowsalya, M. Ramalingam, Pardaev Jamshid, Jyoti Prasad Kalita, S.D. Vijayakumar
DIGITAL TWIN–BASED INTELLIGENT MONITORING OF INDUSTRIAL SYSTEMS USING EXPLAINABLE AI
Industrial systems increasingly rely on Industrial Internet of Things (IIoT) sensors for real-time monitoring and predictive maintenance. However, most existing digital twin–based monitoring solutions depend on static or black-box machine learning models, limiting interpretability, operator trust, and safe deployment in safety-critical enviro...
By R. Kousalya, V. Radhika, C. Thangamani, V. Deepa, Laxmi Basappa Dharmannavar
SLOPE STABILITY IN UNSATURATED LOW PLASTICITY SOILS USING THE BARCELONA BASIC MODEL (BBM) AND CALIBRATION OF TRIAXIAL TEST DATA
The stability of slope in unsaturated low plasticity soils is also a major issue particularly in areas where the level of water changes. This paper looks into how the Barcelona Basic Model (BBM) applies to the evaluation of the stability of a real slope that consists of low plasticity silt in the Chilca region, Peru. There was a complete characteri...
By Luis Roberto Valderrama Moscoso, Juan Antonio Gaona Rojas, Neicer Campos Vasquez, Enzo Luigui Pacahuala Rojas, Ruben Kevin Manturano Chipana
TIMURID ARCHITECTURE AND THE GOLDEN AGE OF CENTRAL ASIAN MONUMENTAL DESIGN
The Timurid period (1370–1507) was a foundational age in the history of Central Asian monumental architecture, an age that was marked by outstanding architectural accomplishment and the intersection of Persian, Mongol, and Islamic artistic cultures. This research examines the historical context, cultural significance, and innovative strategie...
By Nodira Nurullayeva, Abdurahim Mannonov, Nodira Babadjanova, Nasiba Isakhojaeva, Maqsad Maytakubov, Gulzoda Tashmatova, Khikmatoy Madikhanova
STUDY ON NATURAL DYEING OF SILK YARNS USING FERMENTED TURMERIC RHIZOMES WITH THEOBROMA CACAO FRAGRANCE
This study explores the use of a natural colouring method on silk strands. Before and after dyeing, the chemical composition changes in silk yarn are inspected using a Fourier-Transform Infrared Spectroscopy (FTIR) study. The outcomes showed that colourants and fragrances could be introduced to silk yarns without compromising their basic assembly. ...
By M. Sharmila, R. Divya, A. Saniya, C. Prakash
SUSTAINABLE CONSTRUCTION AND THE USE OF PREFABRICATED CONCRETE
Given that the construction industry has a significant impact on the environment and consumes large amounts of natural and energy resources, it represents a very important segment in sustainable construction. This paper provides an overview of sustainable building and the application of prefabricated concrete, specifically prefabricated concrete sl...
By Svjetlana Banjac, Saša Papuga, Gordana Broćeta
AI DRIVEN PREDICTIVE MAINTENANCE FRAMEWORK FOR MULTI-SENSOR INDUSTRIAL ROBOTS IN SMART MANUFACTURING
Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...
By Priya Vij, Ashu Nayak
AGILE PROJECT MANAGEMENT STRATEGIES FOR OPTIMIZING CROSS-FUNCTIONAL OPERATIONS AND MARKET ADAPTATION IN HIGH-TECH SUPPLY CHAINS
An environment that is characterised by a high rate of technological change, short product life cycle, and fluctuating market demand demands a high level of technology, and therefore, the conventional project management approaches may no longer be effective. This paper analyzes how agile project management strategies can be used to support cross-fu...
By M.N. Prabadevi, P.A. Mary Auxilia, B. Jeyaprabha, N. Zeenath Zarina, M. Menaka
LEVERAGING NANOMATERIALS IN CHEMICAL ENGINEERING TO OPTIMIZE EFFICIENCY AND SUSTAINABILITY ACROSS MODERN INDUSTRIAL PROCESSES
Nanomaterials have distinct physicochemical characteristics of high surface area, controllable surface chemistry, and size-dependent reactivity, which can be used to fine-tune industrial chemical reactions to maximize efficiency and sustainability. The paper examines the incorporation of the following nanomaterials, namely carbon nanotubes, graphen...
By Sandeep Soni, Rajvir Saini