[PDF] Top 20 Justicia electoral y justicia constitucional en Ecuador
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Beamforming Technique Assisted by Machine Learning Algorithm for Next Location Prediction
... of location prediction advancement had attracted a great attention due to its broad ...synchronized location forecasting system. Using the underlying concept of beamforming (BF), an array of ... See full document
155
Mobile Subscriber Mobility Analytics And Prediction In Wireless Networks Using Machine Learning Techniques
... and location prediction are important factors that allows network providers to provision appropriate service for better QoS and hence improving the performance metrics of the context aware ...LZ87 ... See full document
9
Agro Genius: Crop Prediction using Machine Learning
... crop prediction using machine learning techniques in several ...Different Machine Learning algorithms were used for ...clustering technique) is used to analyze and verify the ... See full document
40
Location Based Personalization and Prediction of Data Services using a Learning Algorithm
... Yet despite this, MVAS in India appears to lag most other countries, even when compared with other developing markets, leading to a ―MVAS Vacuum‖ [3]. We observe three main reasons for this. First, the mobile operators ... See full document
13
Heart Disease Prediction Approach Using Machine Learning
... clustering algorithm and SVM (support vector machine) classifier based prediction analysis technique is used for clustering and classification of the input ...of prediction analysis, ... See full document
10
Location Prediction Model Using Foursquare Check-In Service: A Machine Learning Approach
... processing, location prediction is a key ...Heterogeneousness: Location information comprises of various types of highlights, ...the location, content and fleeting ... See full document
10
Channel Prediction Aided Coded Modulation Assisted Eigen Beamforming
... The block diagram of the channel prediction aided differentially encoded CM assisted eigen-beamforming scheme is shown in Fig- ure 2, where (.) ˆ denotes the predicted value of (.). Transmit and ... See full document
58
Prediction of Diabetes in Pregnant women using Machine Learning Algorithm
... Diabetes is often known as queen of all diseases as it is seen in people of all ages. Different doctors make use of different symptoms to predict the chances of a patient to be diabetic. However a standard set of ... See full document
9
Similarity Based Prediction System using Machine Learning Algorithms in Big Data Analytics
... utilizes machine learning algorithms to process large datasets which comes from various places such as histories, weblogs, and data repositories, large datasets and data warehousing, ...uses machine ... See full document
9
Malware Analysis on Android Using Supervised Machine Learning Techniques
... supervised machine learning method called Bayesian classifier, applied to learn the system containing (i) detector of calls to the API, (ii) detector of commands, (iii) detector of permissions, (iv) ... See full document
8
Cancer Prediction and Prognosis Using Machine Learning Techniques
... Machine learning is a part of artificial intelligence which is used in different types of statistical, probabilistic and optimization techniques which helps in early diagnosis and detection of ...many ... See full document
198
A Survey on User Characterise Spam Boxes Adopting Email Classification
... NBF algorithm is implemented with ...Proposed algorithm is compared between two train data set Total Databases position and Maximum Number of classes on the basis of total number of train data set tested, ... See full document
13
Machine Learning Based Technique for Detection of Rank Attack in RPL based Internet of Things Networks
... detection technique for rank attack based on the machine learning approach called MLTKNN, based on K-nearest neighbor ...proposed technique was simulated in the Cooja simulation with 30 motes ... See full document
38
Prediction of Onset Diabetes using Machine Learning Techniques
... tree algorithm initially defined as C4.5 algorithm, Weka classifiers packages has its own version of it known as ...best learning algorithms available in machine learning and produces a ... See full document
11
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial
... the algorithm predicted severe sepsis for a given patient, a phone call was placed to the charge nurse on duty; however, no recommendations for treat- ment were provided with the ... See full document
174
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... hybrid algorithm versus the baseline machine learning algorithms like DT and NB via ROC curve plots, and (ii) appraising the proposed tool’s outcomes versus those of its competitors like McAfee, ... See full document
9
Identification of Phishing Website using Deep Learning Algorithm
... forest machine learning algorithm and deep learning ...forest algorithm and deep learning algorithm in order to detect the URLs of phishing websites from the legitimate ... See full document
43
Software Defect Prediction Using Enhanced Machine Learning Technique
... The measure of performance of a machine learning algorithm is based on its accuracy of classifying a data set. In most real-world applications; different misclassifications are usually associated ... See full document
6
Neural Network Ensemble for the Prediction Of Pathological Complete Response After Neoadjuvant Chemotherapy for Breast Cancer
... paper, machine learning for mpMRI of the breast empowers the initial conjecture of the PCR to NAC and consequently may give profitable predictive knowledge to escort medication decisions ...and ... See full document
14
Thyroid Prediction System using Machine Learning Techniques
... and machine learning is the way of semi-automatically classifying and analyzing large datasets to find what amount of the data can be grouped into a single category and then using those categories to ... See full document
6
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