79 Result(s)
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Article
Personal assistant robot using reinforcement learning: DARWIN-OP2 as a case study
The use of robots as personal assistants has gained significant interest in recent years. In this research, our motivation is to employ a robot as a personal assistant to optimize the office ergonomics for stu...
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Article
A robust classification approach to enhance clinic identification from Arabic health text
Text classification has critical applications, including healthcare, where it can assist patients in locating specialized clinics based on their symptom descriptions. This can enhance healthcare services by re...
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Chapter and Conference Paper
Information Technology Adoption in Legislative Work: The Lebanese Parliament Model
This chapter explores the adoption of information technology (IT) in legislative work, specifically in the Lebanese Parliament. With the increasing use of IT in various fields, the legislative sector cannot be...
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Chapter and Conference Paper
Digital Transformation of University Course Filing Using Information and Communication Technologies (ICT): A Sustainable Approach
The focus on stakeholders’ satisfaction is the most crucial element in digital transformation. Applying the culture, practices, processes and technologies of the internet era to respond to expectations and bri...
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Chapter
The Right to Digital Oblivion, with Special Reference to Iraqi Law
The right to digital oblivion is one of the rights that have emerged with the advent and spread of the Internet. Its recognition has been a matter of controversy in jurisprudence and the judiciary. In terms of...
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Article
Prevalence of impacted and fuzzy teeth texture in Riyadh region: a retrospective digital radiographic study
To determine the prevalence of various teeth in the Riyadh population, as well as the angulation, level, and position of mandibular third molar teeth impaction. This retrospective cross-sectional study was car...
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Chapter
Type-2 Fuzzy Relations: An Approach towards Representing Uncertainty in Associative Medical Relationships
The acquisition of precise values such as symptoms, signs, laboratory test results, and diseases/diagnoses for expressing meaningful associative relationships between medical entities has always been regarded ...
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Article
Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS)
Credit card fraud is a growing problem nowadays and it has escalated during COVID-19 due to the authorities in many countries requiring people to use cashless transactions. Every year, billions of Euros are lo...
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Chapter
The Impact of Artificial Intelligence on Healthcare Area—A Systematic Review
Artificial intelligence (AI) in the healthcare area is given a lot of attention by researchers and health professionals. AI is transforming medical practice gradually, which has revolutionized the field of hea...
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Chapter and Conference Paper
A Framework for Hazard Identification of a Collaborative Plug&Produce System
Plug&Produce systems accept reconfiguration and have the attribute of physical and logical flexibility. To implement the Plug&Produce system in a manufacturing plant, there is a need to assure that the system ...
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Article
A deep learning approach for automatic speech recognition of The Holy Qur’ān recitations
Being the main spiritual source and reference for Muslims, The Holy Qur’ān can be recited in ten recitations (Qiraat). Each recitation (Qiraah) possesses certain features and characteristics that can be discri...
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Article
Determining the adaptation data saturation of ASR systems for dysarthric speakers
Automatic speech recognition (ASR) systems are gradually accepted as the assistive technology for the physically impaired individuals such as speakers with dysarthria. Dysarthria is a motor speech impairment, ...
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Chapter and Conference Paper
Prediction of Diabetes Using Hidden Naïve Bayes: Comparative Study
Classification techniques performance varies widely with the techniques and the datasets employed. A process performance classifier lies in how accurately it categorizes the item. The technique of classificati...
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Chapter and Conference Paper
Where Are We in Semantic Concept Extraction for Spoken Language Understanding?
Spoken language understanding (SLU) topic has seen a lot of progress these last three years, with the emergence of end-to-end neural approaches. Spoken language understanding refers to natural language process...
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Chapter and Conference Paper
Reduced 3-D Deep Learning Framework for Hyperspectral Image Classification
In recent years, machine learning has achieved a breakthrough step due to re-branding of Convolutional Neural Networks (CNNs). Advancement in machine learning algorithms makes it easier to process big and info...
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Chapter and Conference Paper
Distributed Scheduling in Cellular Assembly for Mass Customization
Industry 4.0 has many objectives; among them is increasing flexibility in manufacturing, as well as offering mass customization, better quality, and improved productivity. It thus enables companies to cope wit...
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Chapter and Conference Paper
Coordinated Scheduling of Fuel Cell-Electric Vehicles and Solar Power Generation Considering Vehicle to Grid Bidirectional Energy Transfer Mode
Home-to-Vehicle (H2V) appears as an interesting research area due to its public services that incorporates new technologies and new devices for better life quality. The objective is to study and analyze house ...
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Chapter
Multiscale Satellite Image Classification Using Deep Learning Approach
Image classification has been acquiring special importance in the practical applications of remote sensing. This is done with the extraordinary rise of spatial and spectral resolution of satellite imaging sens...
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Chapter and Conference Paper
A Survey of Methods for the Construction of an Intrusion Detection System
Cybercrimes committed using computer networks lead to billions of dollars lose, the illegal access into computer system, stealing valuable data and destroying organization networks which in turn affect the cyb...
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Article
A hybrid particle swarm optimization with a variable neighborhood search for the localization enhancement in wireless sensor networks
Localization accuracy and development costs are key and substantial issues considered when operating and managing a wireless sensor network (WSN). This study presents a modern and high-efficiency algorithm bas...
