Search Results - (( developing joint (efficient OR efficiency) algorithm ) OR ( java implication based algorithm ))
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1
Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…The multi-bases number representation is also applied to construct another new elliptic curve joint-scalar multiplication algorithm, called the joint-multi base algorithm. …”
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2
An optimization approach for a joint location inventory model considering quantity discount policy
Published 2013“…The new model can be applied to both EOQ and quantity discount policies. An efficient two-stage heuristic algorithm is developed to solve the model. …”
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3
3D solid robot animation design based on ADAMS
Published 2023“…It is of great significance to propose an efficient and improved inverse kinematics algorithm for the development of robotic bionics in China. …”
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4
Efficient multi-UAV coordination via rl: joint path planning and task scheduling for post-disaster UAV-assisted MEC systems
Published 2025“…In this paper, we propose the Geometric Reinforcement Learning Algorithm (GRLA), a unified framework for joint path planning and task scheduling in multi-UAV MEC systems. …”
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5
Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…Therefore, the SCLAPF algorithm, which jointly evaluates the energy-efficient scheduling and partial feedback, gives the best tradeoff between uplink and downlink performances.…”
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6
Delay-Aware Energy-Efficient Joint Power Control and Mode Selection in Device-to-Device Communications for FREEDM Systems in Smart Grids
Published 2024“…We adopt a D2D-assisted relaying framework to assist links that meet poor channel conditions in order to increase the data rate of intelligent energy management devices with large size report. We propose a joint power control and mode selection scheme to deal with the problem and develop a brute-force-based algorithm to find the solutions. …”
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7
Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
Published 2021“…Meanwhile, the alternating minimization algorithm develops a PCS to achieve low complexity using HP. …”
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8
Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
Published 2021“…Meanwhile, the alternating minimization algorithm develops a PCS to achieve low complexity using HP. …”
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9
A Joint Evaluation of Energy-Efficient Downlink Scheduling and Partial CQI Feedback for LTE Video Transmission
Published 2018“…Thus, the proposed two-sided algorithm gives the best tradeoff between uplink and downlink performances.…”
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10
Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…Then, an auction algorithm is proposed to solve the channel assignment optimization problem to maximize the spectrum efficiency (SE). …”
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11
Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…By inheriting the capabilities of XML SOAP technology and Web Services, three new algorithms based on Event-Condition-Action (ECA) paradigm have been developed to facilitate efficient interoperation of the heterogeneous subsystems. …”
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12
Dynamics and control of underactuated systems with applications in robotics / Ahmad Azlan Mat Isa … [et al.]
Published 2011“…An adaptive learning algorithm using an artificial neural network ANN has been utilized to predict the passive joint position of underactuated robot manipulator. …”
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13
Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
Published 2018“…The main goal of this work is to develop a conceptual framework and mathematical model for resource allocation using Shuffled Frog-Leap Algorithm (SFLA). …”
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14
An enhanced motion planning method for industrial robots based on the digital twin concept
Published 2025“…The research establishes an accurate kinematic model using Denavit-Hartenberg parameters and develops an efficient simplified envelope collisiondetection method. …”
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15
Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Published 2023“…This paper focuses on developing an efficient integration of joint edge intelligence nodes depending on investigating an energy-efficient bandwidth allocation, computing Central Processing Unit (CPU) frequency, optimization transmission power, and the desired level of learning accuracy to minimize the energy consumption and satisfy the FL time requirement for all IoT devices. …”
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16
Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid
Published 2015“…One of the challenges that researchers have to face with the development of AAFO is providing an efficient transmission and producing continuous and smooth gait cycle. …”
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17
Gait pattern detection for amputated prosthetic using fuzzy algorithm
Published 2015“…The work included in this project focuses on developing a system to measure the angular displacement of human joint of lower part with patients having this problem and then applying gait phase detection using intelligent algorithm. …”
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18
Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G
Published 2023“…This paper focuses on developing an efficient integration of joint edge intelligence nodes depending on investigating an energy-efficient bandwidth allocation, computing Central Processing Unit (CPU) frequency, optimization transmission power, and the desired level of learning accuracy to minimize the energy consumption and satisfy the FL time requirement for all IoT devices. …”
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Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Published 2023“…This paper focuses on developing an efficient integration of joint edge intelligence nodes depending on investigating an energy-efficient bandwidth allocation, computing Central Processing Unit (CPU) frequency, optimization transmission power, and the desired level of learning accuracy to minimize the energy consumption and satisfy the FL time requirement for all IoT devices. …”
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Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Published 2023“…This paper focuses on developing an efficient integration of joint edge intelligence nodes depending on investigating an energy-efficient bandwidth allocation, computing Central Processing Unit (CPU) frequency, optimization transmission power, and the desired level of learning accuracy to minimize the energy consumption and satisfy the FL time requirement for all IoT devices. …”
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