Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort:
Most Viewed Latest Alphabetical (A-Z) Alphabetical (Z-A)
Filter:
All Topic Review Biography Peer Reviewed Entry Video Entry
Topic Review
Machine Learning-Based Network Anomaly Detection
Artificial intelligence (AI) techniques have been used to describe the characteristics of information, as they help in the process of data mining (DM) to analyze data and reveal rules and patterns. In DM, anomaly detection is an important area that helps discover hidden behavior within the data that is most vulnerable to attack. It also helps detect network intrusion. Algorithms such as hybrid K-mean array and sequential minimal optimization (SMO) rating can be used to improve the accuracy of the anomaly detection rate. 
  • 1.6K
  • 19 Aug 2022
Topic Review
Distributed Deep Learning: From Single-Node to Multi-Node Architecture
During the last years, deep learning (DL) models have been used in several applications with large datasets and complex models. These applications require methods to train models faster, such as distributed deep learning (DDL). Local parallelism is considered quite important in the design of a time-performing multi-node architecture because DDL depends on the time required by all the nodes. 
  • 1.6K
  • 08 Jun 2022
Topic Review
Sensor Fusion for Radar Detection
Sensor fusion can be considered as the mapping of different modalities into a common latent space where different features of the same object can be associated together. Sensor fusion frameworks are classified into four categories: input fusion, ROI fusion, feature map fusion, and decision fusion.
  • 1.6K
  • 08 Jun 2022
Topic Review
Blockchain-Based Authentication in Internet of Vehicles
Internet of Vehicles (IoV) is capable of providing various intelligent services and supporting different applications for the drivers and passengers on roads. The IoV to be able to offer beneficial road services, huge amounts of data are generated and exchanged among the different communicated entities wirelessly via open channels, which could attract the adversaries and threaten the network with several possible types of security attacks. In this survey, the authentication part of security system is targeted while highlighting the efficiency of blockchains in the IoV environments.
  • 1.6K
  • 10 Dec 2021
Topic Review
Deep Learning for Plant Disease Detection for Smart-Hydroponics
Recent advances in computing allows researchers to propose the automation of hydroponic systems to boost efficiency and reduce manpower demands, hence increasing agricultural produce and profit. A completely automated hydroponic system should be equipped with tools capable of detecting plant diseases in real-time. Deep-learning-based plant disease detection models leverage computer vision capability and come up with a model that can diagnose plant diseases by scanning plant leaves. The system is capable of diagnosing a given sample by simply taking the leaf image as input and returning the class of the disease that is affecting the plant on screen to ascertain whether the plant is healthy or not, alongside the name of the diseases that are affecting the plant.
  • 1.5K
  • 15 Jun 2022
Topic Review
Fault Detection for Belt Conveyor Idlers
Bulk materials are transported worldwide using belt conveyors as an essential transport system. The majority of conveyor components are monitored continuously to ensure their reliability, but idlers remain a challenge to monitor due to the large number of idlers (rollers) distributed throughout the working environment. These idlers are prone to external noises or disturbances that cause a failure in the underlying system operations.
  • 1.5K
  • 22 Feb 2023
Topic Review
Deep Learning for Classification of Skin Cancer
One of the major health concerns for human society is skin cancer. When the pigments producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis is a challenging process for dermatologists as many skin cancer pigments may appear similar in appearance. Hence, early detection of lesions (which form the base of skin cancer) is definitely critical and useful to completely cure the patients suffering from skin cancer. Significant progress has been made in developing automated tools for the diagnosis of skin cancer to assist dermatologists. The worldwide acceptance of artificial intelligence-supported tools has permitted usage of the enormous collection of images of lesions and benevolent sores approved by histopathology.
  • 1.5K
  • 13 Dec 2021
Topic Review
IoT Intrusion Detection Taxonomy
The taxonomy includes (1) IoT security attacks, (2) IoT architecture layers, (3) intrusion-detection systems for IoT, (3) DL techniques used in the IoT IDSs, (4) common datasets used in the evaluation of the DL systems, and (5) their classification strategies. The different areas included in the taxonomy are in various ways interconnected as root causes of IoT security vulnerabilities in IoT and/or solutions to counter such causes.
  • 1.5K
  • 29 Oct 2021
Topic Review
Machine Learning Based Restaurant Sales Forecasting
A machine learning (ML) model is ideally trained using an optimal number of features and will capture fine details in the prediction task, such as holidays, without underperforming when the forecast window increases from one day to one week.
  • 1.5K
  • 10 Feb 2022
Topic Review
Objective Diagnosis for Histopathological Images
Histopathology refers to the examination by a pathologist of biopsy samples. Histopathology images are captured by a microscope to locate, examine, and classify many diseases, such as different cancer types. They provide a detailed view of different types of diseases and their tissue status. These images are an essential resource with which to define biological compositions or analyze cell and tissue structures. This imaging modality is very important for diagnostic applications.The analysis of histopathology images is a prolific and relevant research area supporting disease diagnosis. In this paper, the challenges of histopathology image analysis are evaluated. An extensive review of conventional and deep learning techniques that have been applied in histological image analyses is presented. This entry summarizes many current datasets and highlights important challenges and constraints with recent deep learning techniques, alongside possible future research avenues. Despite the progress made in this research area so far, it is still a significant area of open research because of the variety of imaging techniques and disease-specific characteristics. 
  • 1.5K
  • 29 Jan 2021
Topic Review
Natural Language Processing for Telehealth
The natural language processing (NLP) technology can serve as an interaction between computers and humans using linguistic analysis and deep learning methods to obtain knowledge from an unstructured free text. The NLP systems have shown their uniqueness and importance in the areas of information retrieval mostly in the retrieval and processing of large amount of unstructured clinical records and return structured information by user-defined queries. In general, the NLP system is aimed at representing explicitly the knowledge that is expressed by the text written in a natural language. 
  • 1.5K
  • 18 Sep 2021
Topic Review
Deep Learning in Fashion and Apparel Retail Industry
Compared to other industries, fashion apparel retail faces many challenges in predicting future demand for its products with a high degree of precision. Fashion products’ short life cycle, insufficient historical information, highly uncertain market demand, and periodic seasonal trends necessitate the use of models that can contribute to the efficient forecasting of products’ sales and demand. Many researchers have tried to address this problem using conventional forecasting models that predict future demands using historical sales information. Machine learning and deep learning models such as the support vector machine, neural network, and recurrent neural network are among many forecast models that have gained popularity among forecast researchers and practitioners given their ability to overcome the drawbacks of traditional linear forecast models.
  • 1.5K
  • 01 Jul 2022
Topic Review Peer Reviewed
Machine Learning in Healthcare Communication
Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelligence. While healthcare communication is important in order to tactfully translate and disseminate information to support and educate patients and public, ML is proven applicable in healthcare with the ability for complex dialogue management and conversational flexibility. In this topical review, we will highlight how the application of ML/AI in healthcare communication is able to benefit humans. This includes chatbots for the COVID-19 health education, cancer therapy, and medical imaging. 
  • 1.5K
  • 13 Apr 2022
Topic Review
Machine Learning Models for On-Street Parking Prediction
Due to massive urbanization, traffic volume in urban areas has grown, making urban life very congested and polluted, leading to many negative impacts on human life, such as higher energy consumption, global warming, and airborne diseases. The goal of sustainable transport in smart cities is to ensure efficient traffic movement while minimizing a negative impact on the environment and public health.
  • 1.5K
  • 28 Jun 2022
Topic Review
Theoretical Background of Predictive Maintenance Models
Predictive Maintenance (PdM) is one of the most important applications of advanced data science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models, sufficient data, such as condition monitoring and maintenance data of the industrial application, are required. Collecting maintenance data is complex and challenging as it requires human involvement and expertise. Due to time constraints, motivating workers to provide comprehensive labeled data is very challenging, and thus maintenance data are mostly incomplete or even completely missing. In addition to these aspects, a lot of condition monitoring data-sets exist, but only very few labeled small maintenance data-sets can be found.
  • 1.4K
  • 13 May 2022
Topic Review
Wireless Sensor Networks based IoT
The WSN based IoT (WSN-IoT) design problems include network coverage and connectivity issues, energy consumption, bandwidth requirement, network lifetime maximization, communication protocols and state of the art infrastructure. In this paper, the authors propose machine learning methods as an optimization tool for regular WSN-IoT nodes deployed in smart city applications. 
  • 1.4K
  • 26 Jul 2021
Topic Review
DNA Circuits
Deoxyribonucleic acid (DNA), a genetic material, encodes all living information and living characteristics, e.g., in cell, DNA signaling circuits control the transcription activities of specific genes. In recent years, various DNA circuits have been developed to implement a wide range of signaling and for regulating gene network functions. In particular, a synthetic DNA circuit, with a programmable design and easy construction, has become a crucial method through which to simulate and regulate DNA signaling networks. Importantly, the construction of a hierarchical DNA circuit provides a useful tool for regulating gene networks and for processing molecular information. Moreover, via their robust and modular properties, DNA circuits can amplify weak signals and establish programmable cascade systems, which are particularly suitable for the applications of biosensing and detecting. Furthermore, a biological enzyme can also be used to provide diverse circuit regulation elements. 
  • 1.4K
  • 13 Dec 2021
Topic Review
KPI Anomaly Detection
Anomaly detection is the foundation of intelligent operation and maintenance (O&M), and detection objects are evaluated by key performance indicators (KPIs). For almost all computer O&M systems, KPIs are usually the machine-level operating data. Moreover, these high-frequency KPIs show a non-Gaussian distribution and are hard to model, i.e., they are intricate KPI profiles. However, existing anomaly detection techniques are incapable of adapting to intricate KPI profiles. In order to enhance the performance under intricate KPI profiles, a seasonal adaptive KPI anomaly detection algorithm ASAD (Adaptive Seasonality Anomaly Detection) was presented. 
  • 1.4K
  • 28 Jun 2022
Topic Review
Sign Language Recognition Method
Technologies for pattern recognition are used in various fields. One of the most relevant and important directions is the use of pattern recognition technology, such as gesture recognition, in socially significant tasks, to develop automatic sign language interpretation systems in real time. More than 5% of the world’s population—about 430 million people, including 34 million children—are deaf-mute and not always able to use the services of a living sign language interpreter. Almost 80% of people with a disabling hearing loss live in low- and middle-income countries. The development of low-cost systems of automatic sign language interpretation, without the use of expensive sensors and unique cameras, would improve the lives of people with disabilities, contributing to their unhindered integration into society. 
  • 1.4K
  • 25 Oct 2022
Topic Review
From Word Embeddings to Pre-Trained Language Models
With the advances in deep learning, different approaches to improving pre-trained language models (PLMs) have been proposed. PLMs have advanced state-of-the-art (SOTA) performance on various natural language processing (NLP) tasks such as machine translation, text classification, question answering, text summarization, information retrieval, recommendation systems, named entity recognition, etc. Prior embedding models as well as breakthroughs in the field of PLMs are provided in this entry.
  • 1.4K
  • 18 Nov 2022
  • Page
  • of
  • 58
Featured Entry Collections
>>

Featured Books

>>
Encyclopedia of Social Sciences
Encyclopedia of COVID-19
Encyclopedia of Fungi
Encyclopedia of Digital Society, Industry 5.0 and Smart City
ScholarVision Creations
Feedback