Tactile edge technology that focuses on 5G or beyond reveals an exciting approach to control infectious diseases such as COVID-19 internationally. The of epidemics can be managed effectively by exploiting computation through the wireless connectivity network. implementation a hierarchical computing system provides many advantages, low latency, scalability, and protection application training model data, enabling evaluated dependable local server. In addition, deep learning (DL) algorithms...

Fruit classification is an important task in many industrial applications. A fruit system may be used to help a supermarket cashier identify the species and prices. It also people decide whether specific meet their dietary requirements. In this paper, we propose efficient framework for using deep learning. More specifically, based on two different learning architectures. The first proposed light model of six convolutional neural network layers, whereas second fine-tuned visual geometry...

Deep Convolutional Neural Network (CNN) has achieved remarkable results in computer vision tasks for end-to-end learning. We evaluate here the power of a deep CNN to learn robust features from raw Electroencephalogram (EEG) data detect seizures. Seizures are hard detect, as they vary both inter- and intra-patient. In this article, we use model seizure detection task on an open-access EEG epilepsy dataset collected at Boston Children's Hospital. Our learning is able extract spectral, temporal...

The recent development of big data-oriented wireless technologies in terms emerging 5G, edge computing, interconnected devices the Internet Things (IoT), and data analytics, as well techniques, have enabled connected healthcare services for a happier healthier life. Although, quality can be enhanced through technologies, however, challenges remain not considering emotional care, especially children, elderly, mentally ill people. In this paper, we propose an emotion-aware system using...

Smart health care is an important aspect of connected living. Health one the basic pillars human need, and smart projected to produce several billion dollars in revenue near future. There are components care, including Internet Things (IoT), Medical (IoMT), medical sensors, artificial intelligence (AI), edge computing, cloud next-generation wireless communication technology. Many papers literature deal with or general. Here, we present a comprehensive survey IoT- IoMT-based edge-intelligent...

A voice disorder database is an essential element in doing research on automatic detection and classification. Ethnicity affects the characteristics of a person, so it necessary to develop by collecting samples targeted ethnic group. This will enhance chances arriving at global solution for accurate reliable diagnosis disorders understanding local Motivated such idea, Arabic pathology (AVPD) designed developed this study recording three vowels, running speech, isolated words. For each...

The integration of the IoT and cloud technology is very important to have a better solution for an uninterrupted, secured, seamless, ubiquitous framework. complementary nature could in terms storage, processing, accessibility, security, service sharing, components makes convergence suitable many applications. advancement mobile technologies adds degree flexibility this solution. health industry one venues that can benefit from IoT–Cloud technology, because scarcity specialized doctors...

Recent advancements in the Internet of Health Things (IoHT) have ushered wide adoption IoT devices our daily health management. For IoHT data to be acceptable by stakeholders, applications that incorporate must a provision for provenance, addition accuracy, security, integrity, and quality data. To protect privacy security data, federated learning (FL) differential (DP) been proposed, where private can trained at owner’s premises. hardware GPUs even allow FL process within smartphone or edge...

Position-based services (PBSs) that deliver networked amenities based on roaming user's positions have become progressively popular with the propagation of smart mobile devices. Position is one important circumstances in PBSs. For effective PBSs, extraction and recognition meaningful estimating subsequent position are fundamental procedures. Several researchers practitioners tried to recognize predict using various techniques; however, only few deliberate progress position-based real-time...

We propose a cognitive healthcare framework that adopts the Internet of Things (IoT)-cloud technologies. This uses smart sensors for communications and deep learning intelligent decision-making within city perspective. The monitors patients' state in real time provides accurate, timely, high-quality services at low cost. To assess feasibility proposed framework, we present experimental results an EEG pathology classification technique learning. employ range sensors, including sensor, to...

The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across the globe. exponential rise in cases burdens healthcare facilities, and a vast amount multimedia data being explored to find solution. This study presents practical solution detect from chest X-rays while distinguishing those normal impacted by Viral Pneumonia via Deep Convolution Neural Networks (CNN). In this study, three pre-trained CNN models (EfficientNetB0, VGG16, InceptionV3) are evaluated through...

Deep learning methods, such as convolution neural networks (CNNs), have achieved remarkable success in computer vision tasks. Hence, an increasing trend using deep for electroencephalograph (EEG) analysis is evident. Extracting relevant information from CNN features one of the key reasons behind CNN-based models. Some models use convolutional different layers with good effect. However, extraction and fusion multilevel remain unexplored EEG applications. Moreover, cognitive computing...

Due to the outbreak of COVID-19, Internet Medical Things (IoMT) has enabled doctors remotely diagnose patients, control medical equipment, and monitor quarantined patients through their digital devices. Security is a major concern in IoMT because (IoT) nodes exchange sensitive information between virtual facilities over vulnerable wireless medium. Hence, must be protected from adversarial threats secure sessions. This article proposes lightweight physically mutual authentication secret key...

The brain-computer interface (BCI) is a cutting-edge technology that has the potential to change world. Electroencephalogram (EEG) motor imagery (MI) signal been used extensively in many BCI applications assist disabled people, control devices or environments, and even augment human capabilities. However, limited performance of brain decoding restricting broad growth industry. In this article, we propose an attention-based temporal convolutional network (ATCNet) for EEG-based classification....

Internet of Things (IoT) produces massive heterogeneous data from various applications, including digital health, smart hospitals, automated pathology labs, and so forth. IoT sensor nodes are integrated with the medical equipment to enable health workers monitor patients' condition appliances in real time. However, due security vulnerabilities, an unauthorized user can access health-related information or control attached patient's body resulting unprecedented outcomes. Due wireless channels...

Recent achievements, based on lead (Pb) halide perovskites, have prompted comprehensive research low-cost photovoltaics, in order to avoid the major challenges that arise this respect: Stability and toxicity. In study, device modelling of (Pb)-free perovskite solar cells has been carried out considering methyl ammonium tin bromide (CH3NH3SnBr3) as absorber layer. The structure justified theoretically by Goldschmidt tolerance factor octahedral factor. Numerical tools were used investigate...