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A direct algorithm to compute switching curve for time optimal motion of co-oprative multi-manipulators moving on specified path
Smart management of electric vehicle integration: peak shaving and valley filling through locational marginal pricing and metaheuristic optimization
Sustainable self-compacting concrete: Performance optimization using calcium oxide-activated slag and sugar factory lime waste
Enhancing Concrete Strength and Durability of Normal and High-Strength Concrete: Exploring Combined Effects of Optimized Silica Fume and Slag
Resilient and efficient edge server placement in mobile edge computing: a dual-strategy approach for optimized performance and fault tolerance
Nearly optimal fixed time sliding mode controller for leader-follower consensus problem with partially unknown nonlinear agents
Quantitative optimization of calendering process parameters for industrial nonwoven filter media using lCT-based structural and filtration analysis
Optimizing flow patterns and residence time in a two-strand steelmaking tundish via PIV and tracer-based flow detection
Modeling, prediction, and optimization of steam methane reforming in porous foams using computational fluid dynamics and machine learning approaches
A novel MILP formulation for optimal placement of phasor measurement units with comprehensive modeling of zero-injection buses and practical constraints
Bridging prediction and optimization: A unified MINLP, traditional machine learning and deep learning framework for water distribution networks management
Nearly optimal fixed time sliding mode controller for leader-follower consensus problem with partially unknown nonlinear agents
Modeling, prediction, and optimization of steam methane reforming in porous foams using computational fluid dynamics and machine learning approaches
Mapping Synthesis-Structure-Performance Relationships: A Data- Driven Framework for Optimizing Ni Electrodeposition in Non- Enzymatic Glucose Sensors
Smart management of electric vehicle integration: peak shaving and valley filling through locational marginal pricing and metaheuristic optimization