6 citations · 8 across the 10 of their papers we have counts for
10 papers
HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
Kumarjit Pathak
Industrial experimentation requires both factor screening to identify critical variables and response optimization to find optimal operating conditions. Traditional approaches trea…
DW-KNN: A Transparent Local Classifier Integrating Distance Consistency and Neighbor Reliability
Kumarjit Pathak, Karthik K, Sachin Madan +1
K-Nearest Neighbors (KNN) is one of the most used ML classifiers. However, if we observe closely, standard distance-weighted KNN and relative variants assume all 'k' neighbors are…
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…
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…
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…
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…