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optimizations algorithm » optimization algorithms (Expand Search)
storage optimization » swarm optimization (Expand Search), global optimization (Expand Search), whale optimization (Expand Search)
monkey optimizations » policy optimization (Expand Search), motor optimization (Expand Search)
optimizations algorithm » optimization algorithms (Expand Search)
storage optimization » swarm optimization (Expand Search), global optimization (Expand Search), whale optimization (Expand Search)
monkey optimizations » policy optimization (Expand Search), motor optimization (Expand Search)
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
Published 2022“…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
Published 2021“…The main objective is to formulate a constrained optimization problem embedded in a model predictive control (MPC) scheme to optimally control the operation of each microgrid to reduce/shave the peak load in case of occurrence, optimizing the power flows exchanges and energy storages, while ensuring a high quality of service to the EVs owners in each microgrid. …”
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Autonomous Demand-Side Management in the Future Smart Grid
Published 2016Get full text
doctoralThesis -
45
Spacecraft spin axis attitude determination
Published 1992“…The results show a tradeoff between estimation accuracy and computational requirements. One algorithm is about three times more accurate than the other and is therefore recommended even though it requires about 20% more in computer storage and operations, and about 50% more in central processing unit time…”
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46
Design and analysis of entropy-constrained reflected residual vector quantization
Published 2002“…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …”
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47
Practical single node failure recovery using fractional repetition codes in data centers
Published 2016“…Node failures in distributed storage systems are becoming a critical issue, and many erasure codes are designed to handle such failures. …”
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48
A Hardware Model of an Expandable RSA Cryptogrsphic System
Published 1998“…Data security is an important aspect of information transmission and storage in an electronic form. Cryptographic systems are used to encrypt such information to guarantee its security. …”
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masterThesis -
49
Role and Applications of Artificial Intelligence and Machine Learning in Manufacturing Engineering
Published 2024“…Because of the rise in cloud computing and a significant decrease in data storage costs, a massive amount of information and data can now be stored and transmitted to ML and AI algorithms to streamline and automate different processes of an organization. …”
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50
Hardware Model of an Expandable RSA Cryptographic System
Published 1998“…Data security is an important aspect of information transmission and storage in an electronic form. Cryptographic systems are used to encrypt such information to guarantee its security. …”
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masterThesis -
51
Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks
Published 2022“…Within this context, the problem is modelled as a closed queueing network (CQN) combined with mixed-integer nonlinear programming (MINLP) to determine the optimal fleet size. This study proposes an analytical method based on sequential quadratic programming (SQP) methodology coupled with a mean value analysis (MVA) algorithm to solve this NP-Hard problem. …”
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FoGMatch
Published 2019“…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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masterThesis -
53
Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet
Published 2025“…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …”
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Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT
Published 2024“…The proposed platform leveragescompression algorithms and edge devices to optimize data communication. …”
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Hybrid deep learning based threat intelligence framework for Industrial IoT systems
Published 2025“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. The results indicate that the proposed method achieves superior detection accuracy, with only a minimal compromise in speed efficiency. …”