A Systematic Literature Review on Machine Learning and Deep Learning …
Dec 20, 2022 · This study discusses the latest research papers in which machine learning and deep learning techniques are exploited for semantic segmentation and published between …
A Deep Learning‐Based Semantic Segmentation Architecture …
Jun 18, 2022 · This paper proposes a new deep learning-based model for semantic segmentation using an encoder-decoder architecture. Instead of following the conventional approach of …
RBM Based Joke Recommendation System and Joke Reader Segmentation
Nov 25, 2019 · In this paper, the Bernoulli Restricted Boltzmann Machine (RBM) based Recommendation System takes the user’s likes and dislikes as input, analyzes and correlates …
Building Deep Learning-Based OCR Model: Lessons Learned
Apr 24, 2025 · In this article, you will learn about different lessons for building a deep learning-based OCR model so that when you are working on any such use case, you may not face the …
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Apr 22, 2017 · This paper provides a review on deep learning methods for semantic segmentation applied to various application areas. Firstly, we describe the terminology of this field as well as …
Machine Learning Architecture: What It Is, Components & Types …
Apr 30, 2024 · Machine learning architecture is the structure and organisation of the many components and processes that are part of a machine learning system. It defines how you …
A Review of Machine Learning and Deep Learning for Object
This review not only adds new insights into machine learning and deep learning methods in machine/robotic vision but also features real-world applications of object detection, semantic …
Randomized multi-reader evaluation of automated detection and ...
Schematic diagrams of the reader study design and the machine learning model for automated brain tumor segmentation (ABS). Machine Learning Models. The ABS system, extended from …
(PDF) Software Architecture for ML-based Systems: What
Mar 16, 2021 · We identify four key areas of software architecture that need the attention of both the ML and software practitioners to better define a standard set of practices for architecting …
Data mining techniques distinguish fields such as statistics, artificial intelligence, machine learning, and data systems. Data mining applications include, but are not limited to …