Gulia, "Comparison Between Adaptive Filter Algorithms (LMS, NLMS and RLS)," International Journal of Science, Engineering and Technological Research, vol. 2, no. 8, May 2013.J. Dhiman, S. Ahmad and K. Gulia, "Comparison between Adaptive filter Algorithms (LMS, NLMS and RLS)", International...
Chaos theory, with its unique blend of randomness and ergodicity, has become a powerful tool for enhancing metaheuristic algorithms. In recent years, there has been a growing number of chaos-enhanced metaheuristic algorithms (CMAs), accompanied by a notable scarcity of studies that analyze and organ...
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms[J]. Geoscience Frontiers, 2021, 12(2): 857-876. DOI: 10.1016/j.gsf.2020.09.004 Citation: Sk Ajim Ali, Farhana Parvin, Jana Vojteková, Romulus Costache, Nguyen Thi Thuy ...
Using a twin experiment approach, the algorithms are compared by assimilating sea level data at fixed locations mimicking the tropical Pacific tide gauges network. It is shown that the description of the system error covariance matrix requires too many parameters for the adaptive problem to be well...
Similar algorithms were grouped using shapes. Linear algorithms with a circle (LR: Linear Regression, RR: Ridge Regression), Adaptive filter with a square (UKF: Unscented Kalman Filter), Boosting with a cross (CB: CatBoost), CNN with a triangle (TCN: Temporal Convolutional Network), RNN with...
Cervical cancer is one of the most commonly diagnosed cancers worldwide, and it is particularly prevalent among women living in developing countries. Traditional classification algorithms often require segmentation and feature extraction techniques to de
Oracle Solaris 11 supports a number of congestion control algorithms (NewReno, Highspeed, CUBIC, Vegas). NewReno is currently the default. Link AggregationEthernet/NIC Bonding(link aggregation) allows administrators to combine the bandwidth from several interfaces into a single connection. A number of...
The research in this topic aims at studying the spectral subtraction & Wiener filter technique when the speech is degraded by non-stationary noise. We have studied both algorithms assuming stationary noise scenario. In this we want to study these two algorithms in the context of non-stationary ...
CNNs used in SLAM systems need to be resilient against sensor noise and outliers. Within the context of VSLAM, CNN must effectively address obstacles such as motion blur, occlusions, and appearance variations, requiring robust feature extraction and matching algorithms (Redmon et al.2016; Engel et...
If the response time of the instrument is much faster, it is necessary to take samples and filter or average them [21]. The sampling interval is the time between successive observations, which should not exceed the largest time constants of all the devices and circuitry preceding the acquisition...