The Internet of Things (IoT) is the underlying technology that has enabled connecting daily apparatus to and enjoying facilities smart services. IoT marketing experiencing an impressive 16.7% growth rate a nearly USD 300.3 billion market. These eye-catching figures have made it attractive playground for cybercriminals. devices are built using resource-constrained architecture offer compact sizes competitive prices. As result, integrating sophisticated cybersecurity features beyond scope...

Augmented reality is increasingly used in the educational domain. However, little known concerning actual importance of AR for learning English skills. The weakness language among as a foreign Language (EFL) students widespread different institutions. Accordingly, this paper aims at exploring skills from perspectives teachers and educators. Mixed qualitative methods were used. To achieve objective study, 12 interviews conducted with topic under investigation. Second, systematic literature...

Internet of Medical Things (IoMT) is an application-specific extension the generalized (IoT) to ensure reliable communication among devices <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$C_{i}$ </tex-math></inline-formula> , designed for medical industry. However, a challenging issue associated with these networks, i.e., IoMT and IoT, authenticity both source destination modules further guarantee...

Multidisciplinary topics in education pose a major challenge for traditional learning and teaching methods. Such can deter students from selecting particular courses or hinder their study progress. This focused on the subject of medicinal chemistry, which is discipline combining medicine chemistry. combination applied basic science creates complex field that challenging to both teach learn. Chemical pharmacological principles are typically presented 2D molecular structures and, recently, 3D...

This research proposes a new approach to improve information retrieval systems based on multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and multi-terminology which includes MeSH thesaurus (Medical Subject Headings) SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms). Our approach, is entitled improving semantic (IMSIR), extracts disambiguates concepts retrieves documents. Relevant ambiguous terms were selected using probability measures biomedical...

Difficulty in understanding the feelings and behavior of other people is considered one main symptoms autism. Computer technology has increasingly been used interventions with Autism Spectrum Disorder (ASD), especially augmented reality, to either treat or alleviate ASD symptomatology. Augmented reality an engaging type that helps children interact easily understand remember information, it not limited age group level education. This study utilized AR display faces six different basic facial...

Deep neural networks are successful learning tools for building nonlinear models. However, a robust deep learning-based classification model needs large dataset. Indeed, these models often unstable when they use small datasets. To solve this issue, which is particularly critical in light of the possible clinical applications predictive models, researchers have developed approaches such as virtual sample generation. Virtual generation significantly improves and performance working with...

Detection of autism in the beginning infant life is very important to increase child treatment outcomes. There are many signs that help diagnosis based on observation great difficulty communicating, delayed speech, and forming relationships with other people. Attempts discover early symptoms do not stop tried reach detection autism. One these examination motor movements, such as kinematic for both gait upper limb. This study aims know how a basic upper-limb motion would be helpful accurately...

In recent times, cybercrime has increased significantly and dramatically. This made the need for Digital Forensics (DF) urgent. The main objective of DF is to keep proof in its original state by identifying, collecting, analyzing, evaluating digital data rebuild past acts. can be found inside a computer’s system files. paper investigates viability Multilayer perceptron (MLP) application. proposed method relies on analyzing file computer determine if it tampered specific program. A dataset...

In healthcare applications, deep learning is a highly valuable tool. It extracts features from raw data to save time and effort for health practitioners. A model capable of extracting the by itself without any external intervention. On other hand, shallow feature extraction techniques depend on user experience in selecting powerful algorithm. this article, we proposed multistage that based spectrogram biosignal. The provides an appropriate representation input biosignal boosts accuracy...

Arabic is one of the Semitic languages in antiquity and six official UN. Also, classification plays a significant essential role modern applications. There big difference between handling English text classification; preprocessing also challenging for text. This paper presents implementation Naïve Bayes classifier with without stemmer. A set four categories 800 documents were used from Text Retrieval Conference (TREC) 2001 dataset. The results showed that light stemmer achieves better than...

Autism is a lifelong condition present from early childhood. Medical specialists' diagnosis autism based on observation of great difficulty in communicating, difficulties for forming relationships with other people, and delayed speech. The scientists tried to discover signs reach the detection Spectrum Disorders (ASD). Early diagnosing very important initiate improve treatment results. One these examination upper limb motor movements. This study aims determine whether simple movement could...

Background/Objectives: One of the key challenges in autism is early diagnosis. Early diagnosis leads to interventions that improve condition and not worsen future. Currently, diagnoses are based on monitoring by a doctor or specialist after child reaches certain age exceeding three years parents observe child’s abnormal behavior. Methods: The paper aims find another way diagnose effective earlier than traditional methods Therefore, we used Eye Gaze fixes map dataset Tracking Scanpath (ETSDS)...

The ongoing growth in the vast amount of digital documents and other data Arabic language available online has increased need for classification methods that can deal with complex nature such data. plays a large important role many modern applications interferes sciences, which start from search engines do not end Internet Things. However, addressing Arab errors high performance is largely insufficient to huge quantities reveal documents; while some work was tackled out on text, most...

Many physical rehabilitation treatments aim to improve the ability use upper limbs for stroke patients. The robots have power help in treatment or mitigation as noted by outcomes of recent research studies. However, availability these devices clinical and settings is still limited. paper discusses technical design aspects implementation wearable robotics assistive device. Firstly, it requirements challenges some existing devices. second part focuses on our proposed 3D printing robot hand a...

Autism like other diseases requires early cure in order to magnify the remedy's results. The impact of Spectrum Disorder (ASD) is embodied following things: inability for kids interact with people, difficulty socialize others, speaking after a long time compar ing kids, lack eye contact other. Such activities are utilized resolution regarding diagnosing ASD. For instance, shift their upper limb before and such moving considers as an indicator decide whether children suffer from autism....

It is highly desirable that web search engines know users well and provide just what the user needs. Although great effort has been devoted to achieve this dream, commonly used still a “one-fit-all” results. One of barriers lack an accurate representation context supports personalised search. This article presents method represent incorporate produce results based on Google The key contributions are twofold: build contextual profiles using their browsing behaviour semantic knowledge...

Citizens regularly face incidents or violations and even digital security such as e-mail intrusion, system infiltration damage caused by malicious software. These are usually left unreported because of the difficulties that citizens to get incident reported. Another issue is many complaints should be handled different departments in sectors, but due a lack cooperation between frequently misplaced. To solve this problem, we propose an automated client-server citizen reporting framework based...

Early diagnosis of children with autism means early intervention which is very important to increase child treatment outcomes. One these signs based on examination upper limb movements. This paper presents an evaluation tasks methods for investigation motor in at High Risk (HR) autism. study examined three and finds the type that discriminates high risk These are: first task a throw small ball into transparent plastic followed by insert clear tube open both sides. In second task, place block...