Lattice

Helping eCommerce marketplace improve seller satisfaction scores using Bayesian network

Author(s): Debasree Bhattacharya, Daya Patkar, Karishma Mulla, Ashi Garg

System & Methods to detect Anomalies in data using Machine Learning Techniques

Author(s): Prashik Waghmare, Vivek Pawar

B2B Sales Leads Generation Using Commercial Payments Data: A Novel Application of Recommender Systems

Author(s): Vibhu Goenka, Amit Udata

A Novel Approach for Lookalikes with Multi-Level Sub-Category on Large-Scale Data

Authors(s): Thejaswini P, Kiranmayi KL Chandra

Application of Clustering for Computationally Light Short Term Demand Forecasting

Author(s): Parimesh Panda, Rohan Kumar, Tanish Verma, Ish Chaudhary

AI Driven Audience Expansion by Recommending Lookalike Postal Codes and Domains

Author(s): Manogna Nadella, Nitin Vinayak Agrawal

Beyond Traditional Vibration classification

Author(s): Jaiyesh Chahar, Pravar Kulbhushan, Rohini Das, Indrajit Kar

Visualization techniques for training of Deep Reinforcement Learning (DRL) agents for real-life continuous state and action spaces

Author(s): Gaurav Adke, Ameya Divekar, Guillaume Ramelet

Ensemble Model-Based Vulnerability Assessment of IndianOil Pipelines for Theft Prevention

Author(s): Animesh Pradhan, Vikram Kumar, Kausik Sen

Clinical Relation Prediction using Graph-based Model

Author(s): Pranita Mahajan, Srinivasa Satya Sameer Kumar, Harsh Sindhwa, Vidhyaa Sankagiri Rajee, Elia Lima-Walton

An Evolutionary Equational Approach to Blending Market Research and Applied Analytics to Improve Trust in Technology Services

Author(s): Anand Wilson, Paresh Banka, Dr. Chiranjiv Roy, Dr.Umamaheswari S

Data Center & Cloud Servers Health Analytics & Resource Intensive Predictive Solution

Author(s): Abhishek Kumar Mishra

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Lattice | Volume 3 Issue 2

Date of Publication: 10 Jan 2023

ISSN No: 2582-8312

$19.99

Journal Topics

Helping eCommerce marketplace improve seller satisfaction scores using Bayesian network

System & Methods to detect Anomalies in data using Machine Learning Techniques

B2B Sales Leads Generation Using Commercial Payments Data: A Novel Application of Recommender Systems

A Novel Approach for Lookalikes with Multi-Level Sub-Category on Large-Scale Data

Application of Clustering for Computationally Light Short Term Demand Forecasting

AI Driven Audience Expansion by Recommending Lookalike Postal Codes and Domains

Beyond Traditional Vibration classification

Visualization techniques for training of Deep Reinforcement Learning (DRL) agents for real-life continuous state and action spaces

Ensemble Model-Based Vulnerability Assessment of IndianOil Pipelines for Theft Prevention

Clinical Relation Prediction using Graph-based Model

An Evolutionary Equational Approach to Blending Market Research and Applied Analytics to Improve Trust in Technology Services

Data Center & Cloud Servers Health Analytics & Resource Intensive Predictive Solution

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