Benzer Materyaller: EFFECTS OF HULL FORM AND WAVE CONDITIONS ON DEVELOPMENT OF PARAMETRIC ROLL /
- PREDICTION OF PARAMETRIC ROLLING BY DIRECT ASSESSMENT METHOD WITH VALIDATION /
- VULNERABILITY OF BANGLADESH INLAND VESSELS TO THE PARAMETRIC ROLLING FAILURE MODE /
- TOTAL ROLL MOMMENT OF BANGLADESH INLAND VESSEL DUE TO THE WIND GENERATED WAVES AND GUST /
- INVESTIGATION ON THE APPLICABILITY OF 2ND GENERATION INTACT STABILITY IN DESIGN OF CONTAINER VESSEL:FAILURE MODE -PARAMETRIC ROLLING /
- EFFECT OF BILGE KEEL ON ROLL OSCILLATION CHARACTERISTICS OF BANGLADESH INLAND PASSENGER VESSEL /
- COMPARATIVE STUDY OF SHIP HULL VIBRATION UNDER FREE-FREE (DRY) BOUNDARY CONDITIONS WITH STRUCTURAL VARIATIONS /
Konu (Topic): Computer Science and Engineering.
- EXPLORING AND EVALUATING THE DESIGN IMPLICATIONS TO DEVELOP AN INTERACTIVE LEARNING TOOL FOR CHILDREN WITH AUTISM SPECTRUM DISORDER /
- DEEP REINFORCEMENT LEARNING BASED OPTIMAL COMPUTATION OFFLOADING IN FOG COMPUTING ENVIRONMENT /
- A BRIEF REVIEW OF IMAGE ENHANCEMENT ALGORITHMS FOR DENOISING MEDICAL IMAGES /
- DESIGN AND DEVELOPMENT OF A GAMING APPLICATION FOR LEARNING RECURSIVE PROGRAMMING /
- APPLICATION OF ZERO TRUST PRINCIPLES IN BLOCKCHAIN TO ENHANCE DATA SECURITY /
- DESIGN AND SIMULATION OF A ROBUST NETWORK FOR AN INSTITUTION INCLUDING COST EVALUATION /
Konu (Topic): This Thesis Paper of NAME in BSc Program.
- EVALUATION AND INTRODUCTION OF A HYBRID DIESEL-ELECTRIC PROPULSION SYSTEM FOR INLAND PASSENGER VESSELS OF BANGLADESH: ENVIRONMENTAL AND OPERATIONAL BENEFITS/
- ON THE DESIGN AND DEVELOPMENT OF LOCPMOTION AND GAIT MECHANISM OF A SPIDER INSPIRED MAGNETIC 12 DOF WALL-CLIMBING ROBOT FOR SHIP HULL INSPECTION /
- MACHINE LEARNING DRIVEN SURROGATE MODELING FOR HYDROELASTIC PERFORMANCE PREDICTION OF HORIZONTAL AXIS TIDAL CURRENT TURBINE /
- FEASIBILITY STUDY ON SOLAR PANEL APPLICATIONS IN DOMESTIC USE FOR INLAND PASSENGER VESSELS OF BANGLADESH /
- PROBABILISTIC ASSESSMENT OF CAPSIZE VULNERABILITY CONSIDERING INLAND PASSENGER VESSELS OF BANGLADESH /
- DETERMINATION OF THE OPTIMUM MACHINE LEARNING MODEL FOR ACCOUSTIC EMISSION-BASED DAMAGE MODE CLASSIFICATION IN CERAMIC MATRIX COMPOSITES /