most citedTurbo Coded Single User Massive MIMO with Precoding

6 citations · 6 across the 1 of their papers we have counts for

collaborators

8 papers

cs.IT20206 cited

Turbo Coded Single User Massive MIMO with Precoding

K. Vasudevan, Gyanesh Kumar Pathak, A. Phani Kumar Reddy

Precoding is a method of compensating the channel at the transmitter. This work presents a novel method of data detection in turbo coded single user massive multiple input multiple…

stat.ML2018

Unique Metric for Health Analysis with Optimization of Clustering Activity and Cross Comparison of Results from Different Approach

Kumarjit Pathak, Jitin Kapila

In machine learning and data mining, Cluster analysis is one of the most widely used unsupervised learning technique. Philosophy of this algorithm is to find similar data items and…

cs.LG2018

Reinforcement Evolutionary Learning Method for self-learning

Kumarjit Pathak, Jitin Kapila

In statistical modelling the biggest threat is concept drift which makes the model gradually showing deteriorating performance over time. There are state of the art methodologies t…

stat.ML2018

Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques

Aasheesh Barvey, Jitin Kapila, Kumarjit Pathak

To predict the employee attrition beforehand and to enable management to take individualized preventive action. Using Ensemble classification modeling techniques and Linear Regress…

stat.ML2018

Personalized Influence Estimation Technique

Kumarjit Pathak, Jitin Kapila, Aasheesh Barvey

Customer Satisfaction is the most important factors in the industry irrespective of domain. Key Driver Analysis is a common practice in data science to help the business to evaluat…

stat.ML2018

Futuristic Classification with Dynamic Reference Frame Strategy

Kumarjit Pathak, Jitin Kapila, Aasheesh Barvey

Classification is one of the widely used analytical techniques in data science domain across different business to associate a pattern which contribute to the occurrence of certain…