Samankaltaisia teoksia: AI-DRIVEN VISIION BASED SYSTEM FOR ANOMALY DETECTION IN PHARMA 4.0 /
- Mastering HTML 4.0 /
- AI-BASED HYBRID FRAMEWORK FOR SOLAR PV FAULT, DETECTION AND POWER GENERATION FORECASTING /
- DEVELOPMENT OF AI-VISION BASED SYSTEM TO ENSURE INDUSTRIAL SAFETY /
- OPTIMIZATION OF MACHING PARAMETERS IN HIGH SPEED END MILLING OF Ti-6AI-4V ALLOY USING RSM AND GA /
- PERFORMANCE EVALUATION OF GRAPHITE AND TITANIUM OXIDE NANO POWDER MIXED DIELECTRIC FOR ELECTRIC DISCHARGE MACHINING OF Ti-6AI-4V /
- OPTIMIZATION OF PROCESS PARAMETERS MIXED EDM OF Ti-6Al-4V USING RSM NANG POWDER /
Aihe: Industrial and Production Engineering.
- OPTIMIZATION OF PROCESS PARAMETERS IN FACE MILLING OF STAINLESS STEEL 304 USING CNC MILLING MACHINE FOR REDUCING POWER CONSUMPTION AND SURFACE ROUGHNESS /
- DESIGN AND FABRICATION OF PNEUMATIC GRIPPER FOR ROBOTIC MANIPULATION /
- DESIGN AND FABRICATION OF INJECTION MOLDING MACHINE FOR SMALL-SCALE iNDUSTRY /
- EVALUATION OF MECHANICAL PROPERTIES OF BANANA-SISAL-GLASS FIBER REINFORCED POLYESTER /
- PERFORMANCE EVALUATION OF GRAPHITE AND TITANIUM OXIDE NANO POWDER MIXED DIELECTRIC FOR ELECTRIC DISCHARGE MACHINING OF Ti-6AI-4V /
- AN EXPERIMENTAL INVESTIGATION OF POWDER ASSISTED ELECTRICAL DISCHARGE MACHINING OF MILD STEEL & INCONEL 718 AND PARAMETRIC OPTIMIZATION /
Aihe: This Thesis Paper of IPE in BSc Program.
- MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- BIO-BASED POLYURETHANE FOAM REINFORCED WITH AGRICULTURAL WASTE FIBRES/
- LIGHTWEIGHT FOAMED CONCRETE WITH COIR, BAGASSE AND POLYPROPYLENE FIBER: A SUSTAINABLE APROACH /
- DEVELOPMENT AND MECHANICAL CHARACTERIZATION OF RAMIE FIBER REINFORCED BIO-COMPOSITE WITH EPOXY MATRIX AND MUSTARD OIL CAKE FILLER FOR LOW-LOAD AUTOMOBILE PARTS APPLICATION /
- SUPPLY CHAIN RESILIENCE MODELING FOR RMG INDUSTRY IN BANFLADESH; AN INTELLIGENT APPROACH /
- OPTIMIZATION OF MOS2 NANOPARTICLE ENRICHED GREEN LUBRICANT FOR ENHANCED MACHINABILITY OF TI-6AL-4V ALLOY /
Tekijä: Tinni, Tasfia Islam
Tekijä: Supervised by Maj Md Naim Uddin
- AI-DRIVEN VISIION BASED SYSTEM FOR ANOMALY DETECTION IN PHARMA 4.0 /
- DEEP LEARNING-BASED ANALYSIS FOR SUPPLY CHAIN DISRUPTION DUE TO STOCK MARKET VOLATILITY /
- AI-BASED HYBRID FRAMEWORK FOR SOLAR PV FAULT, DETECTION AND POWER GENERATION FORECASTING /
- HIGH SPEED MACHINING OF TIGA14V USING HYBRID NANOFLUID BASED MINIMUM QUANTITY LUBRICATION (HNMOL) /