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Machine learning and deep learning techniques for poultry tasks management: a review
In recent years the poultry production industry has adopted automation with the help of different kinds of technological advancements like verities...
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A Review on Machine Learning and Deep Learning Based Systems for the Diagnosis of Brain Cancer
Brain cancer is a disease of the brain caused by a brain tumor. A brain tumor is the development of cells in the brain that grow in an unregulated...
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Machine Learning and Deep Learning Algorithms
This chapter provides a brief overview of how machine learning and deep learning algorithms are trained for biomedical natural language processing...
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Classical learning or deep learning: a study on food photo aesthetic assessment
Food photo aesthetic assessment has gained increasing attention in both commercial activity and social life. However, there has been little research...
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Deep learning-based personalized learning recommendation system design for "T++" Guzheng Pedagogy
This study investigates the development and impact of a deep learning-based personalized learning recommendation system designed specifically for...
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Deep Learning
Deep Learning verschiebt immer weiter die Grenzen dessen, was wir im Kontext der Künstlichen Intelligenz für möglich gehalten haben. Doch was genau...
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Deep learning for named entity recognition: a survey
Named entity recognition (NER) aims to identify the required entities and their types from unstructured text, which can be utilized for the...
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Deep learning: systematic review, models, challenges, and research directions
The current development in deep learning is witnessing an exponential transition into automation applications. This automation transition can provide...
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Deep Learning
This chapter is focused on a specific topic in modern machine learning, i.e., deep learning. First of all, we introduce a few fundamental aspects,...
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Predicting Renal Toxicity of Compounds with Deep Learning and Machine Learning Methods
Renal toxicity prediction plays a vital role in drug discovery and clinical practice, as it helps to identify potentially harmful compounds and...
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Alzheimer Disease Detection Using MRI: Deep Learning Review
Deep learning for Alzheimer disease detection using MRI is an emerging area of research in medical image processing. With the advent of new...
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Network intrusion detection using feature fusion with deep learning
Network intrusion detection systems (NIDSs) are one of the main tools used to defend against cyber-attacks. Deep learning has shown remarkable...
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Medical images classification using deep learning: a survey
Deep learning has made significant advancements in recent years. The technology is rapidly evolving and has been used in numerous automated...
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Wheat crop classification using deep learning
Crop yield forecasting is becoming more essential in the present environment, when food security must be maintained despite climate, population, and...
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Combining Deep Learning with Good Old-Fashioned Machine Learning
We present a comprehensive, stacking-based framework for combining deep learning with good old-fashioned machine learning, called Deep GOld. Our...
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A survey on deep learning and machine learning techniques over histopathology image based Osteosarcoma Detection
Osteosarcoma is a common type of cancer that occurs in the cells and spreads to the bones. Osteosarcoma can develop due to genetic mutations, but...
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Regularization by deep learning in signal processing
In this paper, we explore a new idea of using deep learning representations as a principle for regularization in inverse problems for digital signal...
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A comprehensive review of image denoising in deep learning
Deep learning has gained significant interest in image denoising, but there are notable distinctions in the types of deep learning methods used....
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Deep learning in economics: a systematic and critical review
From the perspective of historical review, the methodology of economics develops from qualitative to quantitative, from a small sampling of data to a...
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Stacked ensemble learning for facial gender classification using deep learning based features extraction
Automatic gender classification is an important task in facial analysis. Recently, deep learning has achieved remarkable progress in extracting deep...
