Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks حسب Bekir Sait Ciftler (17541801)

"…Additionally, we quantify the performance of the DDPG-based algorithm to prevail amid DRL-based algorithms at the expense of higher implementation complexity.…"

Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

"…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"

Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation حسب Hariga, Moncer

"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …"
احصل على النص الكامل

Scheduling IoT Requests to Minimize Latency in Fog Computing حسب Alikarar, Mazin Abdelbadea Nasralla

احصل على النص الكامل

Digital circuit design through simulated evolution (SimE) حسب Sait, Sadiq M.

"…In this paper, the use of simulated evolution (SimE) algorithm in the design of digital logic circuits is proposed. …"
احصل على النص الكامل
احصل على النص الكامل

Cortical EEG Source Localization of Focal Epilepsy حسب Siyam, Wisal Elfatih Mohamed

احصل على النص الكامل

Evaluating Parallel Simulated Evolution Strategies for VLSI Cell Placement حسب Sait, Sadiq M.

احصل على النص الكامل

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT حسب Arumugam K (18456690)

"…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. In FT-Block (Federated transfer learning blockchain), several blockchains are applied to preserve privacy and security for all types of industrial applications. …"

A Survey of Data Clustering Techniques حسب Sobeh, Salma

"…This survey examines seven widely recognized clustering techniques, namely k-means, G-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and k-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and K-means clustering algorithm and compares them over a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Simulated evolution for timing and low power VLSI standard cell placement حسب Sait, Sadiq M.

"…Abstract This paper presents a Fuzzy Simulated Evolution algorithm for VLSI standard cell placement with the objective of minimizing power, delay and area. …"
احصل على النص الكامل

Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…Coupling the developed MLPNN and differential evolution optimization algorithm shows that temperature = 263 K and pressure = 6.92 MPa are the optimum condition for minimizing the MeOH loss in the gas hydrate prevention unit. …"

Fuzzy simulated evolution for power and performance optimization ofVLSI placement حسب Sait, Sadiq M.

"…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …"
احصل على النص الكامل
احصل على النص الكامل

Cooperative Co-evolution using LSHADE with Restarts For The CEC15 Benchmarks حسب El-Abd, Mohammed

احصل على النص الكامل
احصل على النص الكامل

Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks حسب El-Abd, Mohammed

"…In a previous work, we proposed the adaptive backoff algorithm (ABA), which adapts the contention window’s size to the value of the probability of collision, thus relating the contention resolution to the size of the WSN in an indirect manner. …"
احصل على النص الكامل
احصل على النص الكامل

Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks حسب El-Abd, Mohammed

"…In a previous work, we proposed the adaptive backoff algorithm (ABA), which adapts the contention window’s size to the value of the probability of collision, thus relating the contention resolution to the size of the WSN in an indirect manner. …"
احصل على النص الكامل
احصل على النص الكامل

A Modified PWM Strategy With an Improved ANN Based MPPT Algorithm for Solar PV Fed NPC Inverter Driven Induction Motor Drives حسب Nazmul Islam Nahin (17949158)

"…Apart from that, a robust artificial neutral network (ANN) based incremental conductance maximum power point tracking (MPPT) algorithm is also introduced to control the dc-link voltage of the PV fed NPC inverter driven IMD system. …"

Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement حسب Sait, Sadiq M.

"…In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. …"
احصل على النص الكامل
احصل على النص الكامل

A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments حسب Barada, Hassan

"…The performance of SE is compared with a genetic algorithm approach for the same problem with respect to the quality of solutions generated, and timing requirements of the algorithms. r 2003 Elsevier Science Ltd. …"
احصل على النص الكامل

Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures حسب Iryna Haponchyk (19691701)

"…In this paper, we trade off exact computation for enabling the use and study of more complex loss functions for coreference resolution. Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"

Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review حسب Chakraborty, Sanjoy

"…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …"
احصل على النص الكامل