DATA DRIVEN STRATEGIC AND FINANCIAL MANAGEMENT FOR ENHANCING COMPETITIVE ADVANTAGE IN SCIENCE AND TECHNOLOGY-BASED SMES
This paper discusses how data-based strategic and financial management can contribute to the competitive advantage of science and technology-based Small and Medium-sized Enterprises (SMEs). SMEs are challenged to use data to make better business decisions in an ever-dynamic and technology-driven market. This research combines data analytics into a ...
By Ravinder Sharma, Shyam Maurya
DRIVING SCM AND HR TRANSFORMATION WITH AI THROUGH THE ROLE OF LEADERSHIP AND INNOVATION AS MEDIATORS
Due to the fast adoption of digital technologies and artificial intelligence (AI), the operations of enterprises, especially in the context of supply chain management (SCM) and human resource (HR) practises, are being fundamentally reorganised by allowing data-driven decision-making, automating processes, and enhancing agility to organisational cha...
By Sureshkumar Somanathan, R. Harsha, Sherzod Khalilov, Anvar Khudoyarov, Samariddin Makhmudov, Pallapati Ravi Kumar, Rajinder Kumar
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
OTSU AND KAPUR ENTROPY BASED OPTIMAL MULTILEVEL IMAGE THRESHOLDING USING JAYA AND STOCHASTIC FRACTAL SEARCH ALGORITHMS FOR ENHANCED IMAGE SEGMENTATION
Image segmentation plays an important role in medical diagnosis and recognition, but the traditional methods of multilevel thresholding have exponential computation complexity with the number of thresholds. The study corresponds to the necessity to have a computationally effective parameter-free optimization to support fast clinical decision-making...
By S. Anbazhagan, M. Karthika, S. Ramkumar, P. Nammalvar, P. Anbarasan, V. Krishnakumar
SOFT WEARABLE TRIBOELECTRIC SENSORS FOR CONTINUOUS CARDIOVASCULAR MONITORING AND ANOMALY PREDICTION
Advancements in technology have increased demand for systems that continuously monitor the cardiovascular system in a non-invasive, energy-efficient way. Wearable sensors, in their current form, have many drawbacks: they require external power sources and are made of rigid components. This can impact the user experience, the system, the sensor's ab...
INTERPRETABLE TRANSFORMER-BASED VIBRATION ANALYSIS FOR ANOMALY DETECTION IN INDUSTRIAL SYSTEMS
The concept of monitoring conditions with the help of AI has become a significant aspect of Industry 4.0 that enhances machine reliability and provides predictive maintenance. However, the models of anomaly detection based on deep learning are not readily implemented because of their lack of interpretability. The article introduces a novel anomaly ...
By M. Mohamed Musthafa, A. Aafiya Thahaseen, R. Arulmozhi, S. Mohammed Ibrahim, S. Sangeetha, M. Rabiyathul Fathima, M. Gowthami, P. Esaiyazhini
ARTIFICIAL INTELLIGENCE–EMPOWERED DIGITAL TWINS FOR SIMULATION-DRIVEN SECURITY, PRIVACY, AND RESILIENCY OPTIMIZATION IN 6G NETWORKS
The wireless networks of the sixth generation (6G) are likely to be an AI-native, highly dynamic, and ultra-dense communication eco-system, where the question of security, privacy and resiliency is much more complicated to address than in other generations. Conventional static and prescriptive network management tools cannot scale, be heterogeneous...
By P. Senthilkumar, V. Sheela, G.D. Praveenkumar, Ali Bostani, Nazokat Tukhtaeva, M. Nalini, M. Karpagam
ANALYSIS OF SAMARKAND’S REGISTAN SQUARE AS A MASTERPIECE OF ISLAMIC ARCHITECTURE
Samarkand's Registan Square is among the greatest Islamic architectural achievements, symbolizing the architectural and cultural victory of the Timurid dynasty. The Registan Square, being the architectural and cultural hub of Samarkand, consists of three colossal madrasahs of Ulugh Beg, Sher-Dor, and Tilya-Kori symbolizing the splendor of beauty an...
By Nodira Nurullayeva, Dadaxon Abdullayev, Dilnoza Kulboyeva, Abdurahim Mannonov, Gulbahor Eshbekova, Kamola Fuzailova, Odiljon Boynazarov
NEUROMORPHIC-INSPIRED HYBRID COGNITIVE MODEL FOR SELF-OPTIMIZING RESOURCE MANAGEMENT IN 6G EDGE NETWORKS
Introduction: The 6G world requires connected intelligence, but there is a crucial paradox between the standards of Large Language Model (LLM) and edge constraints. The premium devices have up to 6-12GB of DRAM, whereas the typical 175B models need 350GB of storage, which is 30 times that of the premium version. Literature Survey: It has been...
By Reji K Kollinal, Mariya T Cheeran
PRECISION STOCK MARKET TREND ANALYSIS WITH HYBRID SMOOTH SVM AND WEIGHED VULTURE OPTIMIZATION
Accurate prediction of stock market trends remains a challenging task due to high volatility, non-linearity, and the dynamic nature of financial time series data. Conventional statistical and machine learning typically do not provide consistent performance due to the fixed hyperparameter settings and the inability to adapt to a shifting market situ...
By N. Subalakshmi, M. Jeyakarthic, V. Mohanaselvam