Antzeko izenburuak: AI-BASED HYBRID FRAMEWORK FOR SOLAR PV FAULT, DETECTION AND POWER GENERATION FORECASTING /
- DEVELOPMENT OF AI-VISION BASED SYSTEM TO ENSURE INDUSTRIAL SAFETY /
- INVESTIGATION OF PROPERTIES OF HYBRID NATURAL FIBER REINFORCED COMPOSITE WITH JUTE, BANANA AND BAMBOO FIBERS /
- OPTIMIZATION OF HIGH-SPEED END MILLING OF INCONEL 718 USING AI₂O3, DISPERSED NATURAL OIL IN MOL WITH RSM AND GA-ANN /
- HIGH SPEED MACHINING OF TIGA14V USING HYBRID NANOFLUID BASED MINIMUM QUANTITY LUBRICATION (HNMOL) /
- MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- OPTIMIZATION OF MACHING PARAMETERS IN HIGH SPEED END MILLING OF Ti-6AI-4V ALLOY USING RSM AND GA /
Gaia: Industrial and Production Engineering
- INVESTIGATION OF HARDENED CUTTING TOOL FOR TURNING OF MILD STEEL IN DRY CUTTING METHOD /
- PERFORMANCE ANALYSIS OF EAF DUST REINFORCED ALUMINIUM BASED METAL MATRIX COMPOSITE /
- OPTIMIZATION OF INBOUND LOGISTICS OF FMCG AND AUTOMOBILE INDUSTRY USING FLEXSIM /
- REVERSE LOGISTICS NETWORK DESIGN FOR SEMICONDUCTOR SUPPLY CHAIN: AN OPTIMIZATION APPROACH /
- A COMPARATIVE STUDY OF ELECTRIC VEHICLE ROUTING PROBLEMS /
- ENHANCING SUPPLY CHAIN EFFICIENCY THROUGH PREDICTIVE INVENTORY OPTIMIZATION USING ARTIFICIAL INTELLIGENCE /
Gaia: 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 /