Search alternatives:
experiments each » experiments approach (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
each algorithm » search algorithm (Expand Search), jaya algorithm (Expand Search)
experiments each » experiments approach (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
each algorithm » search algorithm (Expand Search), jaya algorithm (Expand Search)
-
81
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2019Get full text
doctoralThesis -
82
Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics
Published 2020“…As a classic instance of the NP-hard Quadratic Assignment Problem (QAP), deterministic algorithms are incapable of nding optimal solutions in the vast complex search space in polynomial time. …”
Get full text
article -
83
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…To solve it, we first propose the high-complexity branch, reduce and bound (BRB) algorithm to find the global optimal solution for relatively small scale scenarios. …”
Get full text
Get full text
Get full text
Get full text
article -
84
Efficient Seismic Volume Compression using the Lifting Scheme
Published 2000“…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…”
Get full text
article -
85
Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
Published 2007Get full text
doctoralThesis -
86
Multigrid solvers in reconfigurable hardware. (c2006)
Published 2006Get full text
Get full text
masterThesis -
87
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. …”
Get full text
-
88
Downlink channel estimation for IMT-DS
Published 2001“…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …”
Get full text
Get full text
article -
89
Machine Learning Model for a Sustainable Drilling Process
Published 2023Get full text
doctoralThesis -
90
Measuring ripple effect for object-oriented programs. (c2004)
Published 2004Get full text
Get full text
masterThesis -
91
Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches
Published 2018“…The PV output, soiling rates, electricity price, and cleaning costs were inputted into the algorithm and 5 different approaches were simulated: 1. …”
Get full text
-
92
Mobile robots obstacles avoidance using dynamic window approach
Published 2018Get full text
doctoralThesis -
93
Defining quantitative rules for identifying influential researchers: Insights from mathematics domain
Published 2024“…The rules were developed for each parameter category using the Decision Tree Algorithm, which achieved an average accuracy of 70 to 75 percent for identifying awardees in mathematics domains. …”
-
94
Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound
Published 2015“…Finally, the optimal release estimate is obtained by probabilistically adding the estimates from the hypothesized Kalman filter estimates. The proposed algorithms are first tested using a simulation environment. …”
Get full text
article -
95
Clustering Tweets to Discover Trending Topics about دبي (Dubai)
Published 2018“…After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …”
Get full text
-
96
Decision-level Gait Fusion for Human Identification at a Distance
Published 2014Get full text
doctoralThesis -
97
-
98
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
Published 2023Get full text
doctoralThesis -
99
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
Published 2020“…We also explore variational dropout: a technique that finds individual and unbounded dropout rates for each neural network weight. Experiments on the PASCAL VOC benchmark dataset show promising results where variational dropout combined with the most efficient YOLOv3 variant lead to an extremely sparse solution that reduces 95% of the baseline network’s parameters at a relatively small drop of 3% in accuracy.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
100
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …”