With continuous advancements in Internet technology and the increased use of cryptographic techniques, cloud has become obvious choice for data sharing. Generally, are outsourced to storage servers encrypted form. Access control methods can be used on facilitate regulate access. Multi-authority attribute-based encryption is a propitious technique who access inter-domain applications such as sharing between organizations, healthcare, etc. The owner may require flexibility share with known...

Among the most prominent field in human-computer interface (HCI) is emotion recognition using facial expressions. Posed variations, accessories, and non-uniform illuminations are some of difficulties field. Emotion detection with help traditional methods has shortcoming mutual optimization feature extraction classification. Computer vision (CV) technology improves HCI by visualizing natural world a digital platform like human brain. In CV technique, advances machine learning artificial...

Internet of Things (IoT)-assisted skin cancer recognition integrates several connected devices and sensors for supporting the primary analysis monitoring conditions. A preliminary images is extremely difficult because factors such as distinct sizes shapes lesions, differences in color illumination, light reflections on surface. In recent times, IoT-based utilizing deep learning (DL) has been used enhancing early cancer. This article presents an optimal learning-based detection classification...

Automated facial emotion recognition (FER) is one of the important fields human-computer interaction (HCI). FER remains challenging due to accessories, non-uniform illumination, pose variation, etc. Emotion detection exploiting conventional algorithms has demerit mutual optimization classification and feature extraction. Artificial intelligence (AI) techniques can be employed identify automatically. Deep learning (DL) driven models have recently allowed for designing an end-to-end process....

Intelligent Transportation Systems (ITS) make use of advanced technologies to optimize interurban and urban traffic, reduce congestion enhance overall traffic flow. Deep learning (DL) approaches can be widely used for flow monitoring in the ITS. This manuscript introduces Artificial Hummingbird Optimization Algorithm with Hierarchical Learning Traffic Management (AHOA-HDLTM) technique ITS environment. The purpose AHOA-HDLTM is predict levels smart cities, enabling effective management....

<p class="apa">The present study sought to examine parents’ perceptions of early interventions and related services for children with autism spectrum disorder (ASD) in Saudi Arabia. In this a survey was distributed sample 80 parents who have ASD. Parents also were asked open-ended questions enable them provide suggestions. The findings indicate that varying services. However, they seem agree these are important assisting their children. Accordingly, suggested the government needs...

Healthcare is an area of concern where the application human-centred design practices and principles can enormously affect well-being patient care. The provision high-quality healthcare services requires a deep understanding patients' needs, experiences, preferences. Human activity recognition (HAR) paramount in monitoring by using machine learning (ML), sensor data, artificial intelligence (AI) to track discern individuals' behaviours physical movements. This technology allows professionals...

Natural Language Processing (NLP) is the most vital technology in currently utilized, specifically caused by huge and growing count of online texts that requires understood for its massive value completely asserted. NLP create a sense unstructured data, which are created social networks other data sources, supported to organize them into an additional structured model assists several kinds tasks applications. Sentiment analysis (SA), subfield contains determining sentiment expressed or...

Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange between moving vehicles and fixed infrastructure. While exchanging in the network, security is a main constraint. ICTS encompasses many facilities claims, such as managing road traffic, traveler data, public transportation systems, autonomous vehicles. It anticipated that will make significant contributions to future smart cities urban design traffic security, transport optimization, energy efficiency,...

Food image classification, an interesting subdomain of Computer Vision (CV) technology, focuses on the automatic classification food items represented through images. This technology has gained immense attention in recent years thanks to its widespread applications spanning dietary monitoring and nutrition studies restaurant recommendation systems. By leveraging developments Deep-Learning (DL) techniques, especially Convolutional Neural Network (CNN), been developed as effective process for...

Generally, the agricultural field can enhance food needs and deliver healthy nutritious food. Recognizing classifying crop insects is a crucial threat for agriculturalists as it essential in preventing damage preserving quality. Traditional pest recognition models often needed more knowledgeable taxonomists who could precisely detect pests based on morphological aspects. Pest detection employing deep learning (DL) respected use of artificial intelligence (AI) fields such entomology,...

Visual impairment is one of the major problems among people all age groups across globe. Visually Impaired Persons (VIPs) require help from others to carry out their day-to-day tasks. Since they experience several in daily lives, technical intervention can them resolve challenges. In this background, an automatic object detection tool need hour empower VIPs with safe navigation. The recent advances Internet Things (IoT) and Deep Learning (DL) techniques make it possible. current study...

Text-To-Speech (TTS) is a speech processing tool that highly helpful for visually-challenged people. The TTS applied to transform the texts into human-like sounds. However, it challenging accomplish outcomes non-diacritized text of Arabic language since has multiple unique features and rules. Some special characters like gemination diacritic signs correspondingly indicate consonant doubling short vowels greatly impact precise pronunciation language. But, such are not frequently used in...

In recent times, global cities have been transforming from traditional to sustainable smart cities. text sentiment analysis (SA), many people face critical issues namely urban traffic management, living quality, information security, energy usage, safety, etc. Artificial intelligence (AI)-based applications play important roles in dealing with these crucial challenges SA. such scenarios, the classification of COVID-19-related tweets for SA includes using natural language processing (NLP) and...

Pulmonary Fibrosis (PF) is an immedicable respiratory condition distinguished by permanent fibrotic alterations in the pulmonary tissue for which there no cure. Hence, it crucial to diagnose PF swiftly and precisely. The existing research on deep learning-based fibrosis detection methods has limitations, including dataset sample sizes a lack of standardization data preprocessing evaluation metrics. This study presents comparative analysis four vision transformers regarding their efficacy...

Augmentative and alternative communication systems have been successfully used to help pupils with intellectual developmental disabilities for functional skills. Whereas the effects of GoTalk NOW application (app) available on iPad investigated, no such study has conducted in Saudi Arabia. This investigated “model, lead, test” (MLT) technique paired app, which is teach four children delays correctly request. The participants were (three boys one girl) from 6 8 years age disabilities. A...

Understanding individual differences in psychology, and how they relate to specific addictions, may allow society better identify those at most risk even enact policies ameliorate them. Internet addiction is a growing health concern, research focus of which understand the psychology susceptible developing it. Western countries are strongly overrepresented this regard.Here, sex national internet measured, using Young's 'Internet Addiction Test,' two non-Western countries, Egypt Saudi Arabia....

Cognitive assessment plays a vital role in clinical care and research fields related to cognitive aging health. Lately, researchers have worked towards providing resolutions measure individual health; however, it is still difficult use those from the real world, therefore using deep neural networks evaluate health becoming hot topic. Deep learning human activity recognition are two domains that received attention for past few years. The former its relevance application like monitoring or...

Recently, deep learning models have become more prominent due to their tremendous performance for real-time tasks like face recognition, object detection, natural language processing (NLP), instance segmentation, image classification, gesture and video classification. Image captioning is one of the critical in NLP computer vision (CV). It completes conversion from text; specifically, model produces description text automatically based on input images. In this aspect, article develops a...