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
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
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...
AN ADVANCED MULTIMODAL AI FRAMEWORK FOR EARLY BRAIN STROKE DETECTION USING HYBRID FEATURE SELECTION, ENSEMBLE MODELS, AND REINFORCEMENT LEARNING
The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...
By D. Ushasree, A.V. Praveen Krishna, Ch. Mallikarjuna Rao, D.V. Lalita Parameswari
BIOCONVECTIVE MHD SUTTERBY HYBRID NANOFLUID FLOW WITH FUZZY VOLUME FRACTION OVER A CONVECTIVELY HEATED STRETCHING SHEET
This research investigates the Magnetohydrodynamic (MHD) flow of a Sutterby hybrid nanofluid over a convectively heated stretching sheet, specifically addressing the protection of human skin from solar thermal radiation. Utilizing Buongiorno’s nanomaterial model, the study evaluates the synergy of Cadmium Selenide (CdSe) and (𝐶6𝐻11𝑁𝑂4)𝑛&minus...
By P. Asaigeethan, M. Perumalsamy, M. Gnanakumar, J. Duraikannan, R. Saravanakumar, V. Subhashini, V. Jothi Francina, N. Deepa
AN AI-DRIVEN DIGITAL TWIN FRAMEWORK LEVERAGING ONTOLOGIES, INTELLIGENT DATA MANAGEMENT, AND SIMULATION FOR SECURITY AND RESILIENCE IN 6G NETWORKS
The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...
By P. Karunakaran1, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar
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
BLOCKCHAIN SECURED SUPPLY CHAIN TRACEABILITY SYSTEM FOR PHARMACEUTICAL MANUFACTURING USING IOT AND CLOUD
This paper outlines the design and development of a blockchain-secured pharmaceutical supply chain traceability system that uses IoT and cloud computing to overcome the major problems in pharmaceutical manufacturing, including counterfeiting, fraud, and regulatory compliance. The system consists of IoT equipment, such as RFID tags, environmental se...
By Sapna Bawankar, Roohee Khan, Sindhusaranya Balraj
DIGITAL TRANSFORMATION OF PROJECT AND OPERATIONS MANAGEMENT IN SMART INFRASTRUCTURE AND ENGINEERING ENTERPRISES
The fast development of Industry 4.0 has forced a shift in paradigm in the management of complex infrastructure projects in engineering enterprises. The presented study will examine the concept of the digital transformation (DT) of project and operations management with the emphasis on the incorporation of smart technologies into the conventional e...
GEOTECHNICAL APPROACHES FOR BUILDING EARTHQUAKE-RESILIENT INFRASTRUCTURE IN URBAN ENVIRONMENTS
The seismic nature of the soil in urban spheres is very susceptible to seismic ground failures caused by intricate soil conditions, extensive development, and outdated construction methods. However, structural solutions have always played the most important role in seismic design; growing evidence points to the importance of geotechnical engineerin...
By Jainish Roy, Rajesh Sehgal