بدائل البحث:
pollination algorithm » optimization algorithm (توسيع البحث)
sample detection » early detection (توسيع البحث), image detection (توسيع البحث)
pollination algorithm » optimization algorithm (توسيع البحث)
sample detection » early detection (توسيع البحث), image detection (توسيع البحث)
-
1
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor yielding a reduction of the execution time to 2 msec…"
احصل على النص الكامل
احصل على النص الكامل
article -
2
Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
منشور في 2017"…This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
3
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…In the initial phase, the proposed HNIDS utilizes hybrid EGA-PSO methods to enhance the minor data samples and thus produce a balanced data set to learn the sample attributes of small samples more accurately. …"
-
4
-
5
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
منشور في 2022"…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …"
-
6
VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…We tested this algorithm on synthetic data and 100 Glioblastoma Multiforme primary tumor samples. …"
-
7
-
8
Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice
منشور في 2020"…Smart health systems can be an easy and fast support to voice pathology detection. The identification of an algorithm that discriminates between pathological and healthy voices with more accuracy is needed to obtain a smart and precise mobile health system. …"
-
9
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
منشور في 2025"…</p><h3>Conclusion</h3><p dir="ltr">AI algorithms show promise in detecting and subtyping medulloblastomas, but the findings are limited by overreliance on one dataset, small sample sizes, limited study numbers, and lack of meta-analysis Future research should develop larger, more diverse datasets and explore advanced approaches like deep learning and foundation models. …"
-
10
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…The results revealed that the RFBXSQLQC technique outperforms the existing algorithms by 19% with pattern detection accuracy, 34% minimized time complexity, 64% false-positive rate, and 31% in terms of computational overhead.…"
-
11
AI-Aided Robotic Wide-Range Water Quality Monitoring System
منشور في 2024احصل على النص الكامل
article -
12
Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
منشور في 2022"…The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
13
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"
-
14
Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
منشور في 2022"…The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. …"
-
15
-
16
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
منشور في 2022"…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"
-
17
Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares
منشور في 2020"…Since the LTS is combinatorial optimization problem the randomized algorithm has been proposed in order to achieve the optimal estimate. …"
احصل على النص الكامل
article -
18
Current trends and future orientation in diagnosing lung pathologies: A systematic survey
منشور في 2025"…The E-nose-based detection technique uses electronic sensors to recognize volatile organic compounds (VOCs) in the exhaled breath. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
19
Building power consumption datasets: Survey, taxonomy and future directions
منشور في 2020"…Based on the analytical study, a novel dataset has been presented, namely Qatar university dataset, which is an annotated power consumption anomaly detection dataset. The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …"
-
20
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
منشور في 2022"…Studies that examined the performance (accuracy, sensitivity, and specificity) of any ML algorithm in detecting pathological voice samples were included. …"