A5091357757- Stock Market Forecasting Methods
- Energy Load and Power Forecasting
- Forecasting Techniques and Applications
- Molecular Communication and Nanonetworks
- Radiation Effects in Electronics
- Advanced Thermoelectric Materials and Devices
- Moringa oleifera research and applications
- Inhalation and Respiratory Drug Delivery
- Financial Markets and Investment Strategies
- Neural Networks and Applications
- Electrocatalysts for Energy Conversion
- Machine Learning in Materials Science
- Integrated Circuits and Semiconductor Failure Analysis
- Nanoparticles: synthesis and applications
- Complex Systems and Time Series Analysis
- Natural Products and Applications
- Advanced Data Processing Techniques
- Complex Network Analysis Techniques
- Aquatic life and conservation
- Advanced Text Analysis Techniques
- VLSI and Analog Circuit Testing
- Misinformation and Its Impacts
Indian Institute of Technology Bhubaneswar
2023
Biju Patnaik University of Technology
2019
Centurion University of Technology and Management
2018
National Chung Cheng University
2002
Mangrove forests, resilient ecosystems flourishing along tropical coastlines in response torising sea levels, derive a diverse array of physical, chemical, and biological attributes fromboth the ocean adjacent highland forests characterized by estuarial trees. Serving asecotones bridging interface between land sea, mangrove swamps exhibit horizontaland vertical stratification forest cover underlying soil. Phytochemical analysisreveals presence terpenoids, tannins, steroids, alkaloids,...
The main attractive feature to stock market is speedy growth of economic value in short yoke time. investor analyses the demonstration, estimated and organizations before investing money market. analysis may not be enough by using conventional process or some available methods suggested different researches. In present days large number stocks are it very difficult study each help few foretelling methods. To know anticipated we need advanced prediction technology for This paper introduce an...
Multicomponent alloys are gaining significance as drivers of technological breakthroughs especially in structural and energy storage materials. The vast configuration space these materials prohibit computational modeling using first-principles based methods alone. cluster expansion (CE) method is the most widely used tool for configurational disorder alloys. CE relies on machine learning algorithms to train Hamiltonians uses calculated data training sets. In this paper we present a new...
Abstract: As the human race evolves, numerous diseases have dominated humans, causing scientists to encounter myriad challenges with formulations. To rectify these issues, Nanoparticle (10-9 m) formulation approach or nanotechnology has been developed. Since nanoparticles legion benefits, encompassing better bioavailability, target-specific, confined, accurate dose delivery, and increased surface area, are pertinent for effective treatment. Toxicity, inflammation, limited penetrating...
It has been demonstrated that delay fault coverage loss could be significant if improper propagation paths are used. This occurs when the test pair of a target path cannot effectively generated by an ATPG tool, or stuck-at patterns used as transition (or gate) patterns. In this work, efficient method is proposed to reduce amount using multiple observation times. The basic idea offset shorter (really used) tightening Given probability distribution defect sizes and set slack differences, able...