A5074182058- Mineral Processing and Grinding
- Fault Detection and Control Systems
- Voice and Speech Disorders
- Advanced Data Processing Techniques
- Minerals Flotation and Separation Techniques
- ECG Monitoring and Analysis
- Metallurgical Processes and Thermodynamics
- Rock Mechanics and Modeling
- Industrial Technology and Control Systems
- Granular flow and fluidized beds
- Brain Tumor Detection and Classification
- Traditional Chinese Medicine Studies
- Iron and Steelmaking Processes
- Vehicle License Plate Recognition
Semnan University
2021-2024
The durability of rocks is a substantial rock property that has to be considered for designing geotechnical structures. Uniaxial compressive strength (UCS) and Young's modulus (E) are key indexes measuring rocks' durability. Several types artificial intelligence (AI) methods have been used modeling these indexes; however, surprisingly, no explainable AI (XAI) their model developments. An XAI whose assessment not black box, humans could understand its problem solution approach. This study...
Digitalizing cement production plants to improve operation parameters' control might reduce energy consumption and increase process sustainabilities. Cement are one of the extremest CO2 emissions, rotary kiln is a plant's most energy-consuming energy-wasting unit. Thus, enhancing its assessments adsorb attention. Since many factors would affect clinker quality efficiency, controlling those variables beyond operator capabilities. Constructing conscious-lab "CL" (developing an explainable...
Parkinson's disease (PD) is the second most common progressive neurological condition after Alzheimer's. The significant number of individuals afflicted with this illness makes it essential to develop a method diagnose conditions in their early phases. PD typically identified from motor symptoms or via other Neuroimaging techniques. Expensive, time-consuming, and unavailable general public, these methods are not very accurate. Another issue be addressed black-box nature machine learning that...
Flotation separation is the most important upgrading critical raw material technique. Measuring interactions within flotation variables and modeling their metallurgical responses (grade recovery) quite challenging on industrial scale. These challenges are because includes several sub-micron processes, monitoring won't be possible for processing plants. Since many plants still manually operating maintaining, understanding operational effect would crucial. As a unique approach, this study used...
Background and Objective: Parkinson's disease (PD) is the second most common progressive neurological condition after Alzheimer's, characterized by motor non-motor symptoms. Developing a method to diagnose in its beginning phases essential because of significant number individuals afflicting with this illness. PD typically identified using symptoms or other Neuroimaging techniques, such as DATSCAN SPECT. These methods are expensive, time-consuming, unavailable general public; furthermore,...