Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
احصل على النص الكامل

Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling حسب Majed Hadid (17148364)

"…Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"

A Micro-Economics Approach for Scheduling in CDMA Networks with End-to-End QoS Guarantees حسب Saad, Walid

"…To efficiently utilize the available radio resources, we propose a new scheduling algorithm based on techniques from micro-economics. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network حسب Sorkhoh, Ibrahim

"…Among these parameters are the variability of vehicles availability and their computational power, the individual tasks’ weighted priorities and their deadlines, the tasks required computational power as well as the required data to upload/download. This article proposes an infrastructure-assisted task scheduling scheme where the roadside unit receives computational tasks from different sources and schedules these tasks over a computationally capable vehicle residing within the roadside unit’s range. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure حسب Fahmy, Ahmed

احصل على النص الكامل

Spider monkey optimizations: application review and results حسب Abualigah, Laith

"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
احصل على النص الكامل

Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
احصل على النص الكامل

Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands حسب Peng, Wang

"…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
احصل على النص الكامل

EV Charging Coordination in Blockchain-Based Energy Markets حسب Mohammed, Mahdi Ali

احصل على النص الكامل

Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

"…The cluster heads receive the data on the long-range LTE links, either via unicasting or multicasting. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"

A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

احصل على النص الكامل

The survey of cluster based data collection process for iot enabled wireless sensor network using several optimization technique حسب Abirami, R.

"…The research examines the energy optimization achieved by these algorithms in the form of intelligent cluster arrangements, traffic conscious routing, task scheduling processes and data aggregations. …"
احصل على النص الكامل
احصل على النص الكامل

Synthesis with VHDL. (c2001) حسب Halawi, Hatem

احصل على النص الكامل
احصل على النص الكامل

Evacuation of a highly congested urban city حسب El Khoury, John

"…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

ISSP حسب Zouein, P.P.

"…Many decision-support tools were developed to assist planners in space scheduling but these were limited to providing the user with a platform that ties spatial and temporal data in the project and left it up to the user to decide on positions of resources and schedule adjustments to solve spatial conflicts that may arise in the process of constructing site layouts over time.The ISSP system, presented here, provides a graphical user-interactive interface with underlying layout and scheduling algorithms that construct feasible layout and schedule solutions under 2-dimensional spatial constraints between resources. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

"…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
احصل على النص الكامل

Hybrid quantum–cloud framework for nonlinear clustering optimization and intelligent resource management حسب Abdullayev, Ilyos

"…The current cloud workloads in terms of complexity, scalability, and energy needs are not always easily met by the conventional machine learning and heuristic scheduling processes, particularly in cases where the data possess nonlinear structures. …"
احصل على النص الكامل
احصل على النص الكامل