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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…When compared to the Supply Chain Guru X (SCGX) software, the proposed algorithms offer higher practical applicability.…”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…Experimental research on ion-drag micropumps has been carried out in recent years to improve their performance for different applications. …”
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Near Real Time Processing of NOAA AVHRR Satellite Data
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Elastic-TCP: flexible congestion control algorithm to adapt for high-BDP networks
Published 2019“…In order to increase TCP flexibility to adapt for high-BDP networks, we propose a new delay-based and RTT-independent congestion control algorithm (CCA), namely Elastic-TCP. …”
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Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…Further, we propose a novel mathematical model to calculate the average throughput of the AF-based CCA. …”
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Multi-robot path planning based on the improved nutcracker optimization algorithm and the dynamic window approach
Published 2024“…Multi-robot path planning faces challenges such as conflict avoidance, collaboration, and dynamic environments. This paper proposes a multi-robot path planning algorithm that integrates the improved nutcracker optimization algorithm with the improved dynamic window approach. …”
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Window based personalized time management system
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Undergraduates Project Papers -
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…The crucial part about MLP is the learning or training process in which the weights are tuned on the presence of input data to produce a reliable and accurate estimation. This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
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Chain code algorithm in deriving T-Junction and region of a freehand sketch
Published 2004“…The algorithm is based on 8-connected 3x3 windows of Freeman chain code. …”
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Enhanced local disparity map algorithm segment-side window-based cost aggregation and refinement
Published 2025“…This paper introduces a Segment-Side Window based (SSW) stereo matching algorithm that combines Truncated Absolute Difference (TAD), Gradient Magnitude (GM), and Census Transform (CT) to build a robust cost volume. …”
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Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks
Published 2022“…Time-sensitive networking (TSN) is a new Ethernet-based framework introduced to support these applications. …”
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Removal of high density salt and pepper noise from image and video based on optimal decision based algorithm
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Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
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Local Stereo Matching Algorithm Using Small-Color Census Spared Adaptive Support Weight
Published 2011“…This paper proposed an effective disparity estimation algorithm based on census transform with geodesic support weight, called small-color census spared adaptive support weight (SCCADSW). …”
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An enhancement of sliding window algorithm for rainfall forecasting
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Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)
Published 2021“…A time-sensitive network (TSN) is a new framework introduced to serve these applications. …”
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