Transportation and logistics management play a vital role in the development of country. With advancement Internet Things (IoT) devices, smart transportation is becoming reality. However, these abundant connected IoT devices are vulnerable to security attacks. Recently, Blockchain has emerged as one most widely accepted technologies for trusted, secure decentralized intelligent systems. This research study aims contribute field by exploring potential technology transportation. We propose...

With the proliferation of information and communication technology in every walks society, including healthcare services, digitization, increased sophistication have been gaining pace, digital alternatives such as electronic record (EHR) gained prominence with patients' data volume. However, traditional EHR-based systems are plagued by loss risks, security immutability consensus over health records, gapped among constituted hospitals, inefficient clinical retrieval systems, others....

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...

An increasing number of genetic and metabolic anomalies have been determined to lead cancer, generally fatal. Cancerous cells may spread any body part, where they can be life-threatening. Skin cancer is one the most common types its frequency worldwide. The main subtypes skin are squamous basal cell carcinomas, melanoma, which clinically aggressive responsible for deaths. Therefore, screening necessary. One best methods accurately swiftly identify using deep learning (DL). In this research,...

Internet of things architecture is the integration real-world objects and places with internet. This booming in technology bringing ease our lifestyle making formerly impossible possible. playing a vital role bridging this gap easily rapidly. IoT changing way working technologies, by them together at one page several application areas daily life. However, has to face challenges form cyber scams, major likelihood Ransomware attack. malicious kind software that restricts access information...

Internet of medical things (IoMT) is getting researchers' attention due to its wide applicability in healthcare. Smart healthcare sensors and IoT enabled devices exchange data collaborate with other smart without human interaction securely transmit collected sensitive towards the server nodes. Alongside communications, security privacy also quite challenging aggregate Fog cloud servers. We explored existing surveys identify a gap literature that survey fog-assisted secure collection schemes...

Despite the many past research conducted in Cloud Computing field, some challenges still exist related to workload balancing cloud-based applications and specifically Infrastructure as service (IaaS) cloud model. Efficient allocation of tasks is a crucial process computing due restricted number resources/virtual machines. IaaS one models this technology that handles backend where servers, data centers, virtual machines are managed. Service Providers should ensure high delivery performance...

When it comes to smart cities, one of the biggest issues is energy optimization. This because these cities employ a large number interconnected devices autonomously manage city operations, which consumes lot energy. difficulty has been addressed in this paper by using advantages contemporary cutting-edge technologies such as Internet Things (IoT), 5 G, and cloud computing for efficiency cities. With use technologies, we have proposed model that can be used optimize consumption homes alike....

Detecting and counting on road vehicles is a key task in intelligent transport management surveillance systems. The applicability lies both urban highway traffic monitoring control, particularly difficult weather conditions. In the past, has been performed through data acquired from sensors conventional image processing toolbox. However, with advent of emerging deep learning based smart computer vision systems become computationally efficient reliable. mounted cameras can be used to train...

The coronavirus disease (COVID-19) is rapidly spreading around the world. Early diagnosis and isolation of COVID-19 patients has proven crucial in slowing disease's spread. One best options for detecting reliably easily to use deep learning (DL) strategies. Two different DL approaches based on a pertained neural network model (ResNet-50) detection using chest X-ray (CXR) images are proposed this study. Augmenting, enhancing, normalizing, resizing CXR fixed size all part preprocessing stage....

Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt diagnosis treatment to prevent vision loss even death. Deep learning models have shown promising results in detecting retinoblastoma from fundus images, but their decision-making process often considered "black box" lacks transparency interpretability. In this project, we explore the use LIME SHAP, two popular explainable AI techniques, generate local global explanations for deep model based on...

Cancer is a complicated global health concern with significant fatality rate. Breast cancer among the leading causes of mortality each year. Advancements in prognoses have been progressively based primarily on expression genes, offering insight into robust and appropriate healthcare decisions, owing to fast growth advanced throughput sequencing techniques use various deep learning approaches that arisen past few years. Diagnostic-imaging disease indicators such as breast density tissue...

Pressure ulcers are significant healthcare concerns affecting millions of people worldwide, particularly those with limited mobility. Early detection and classification pressure crucial in preventing their progression reducing associated morbidity mortality. In this work, we present a novel approach that uses YOLOv5, an advanced robust object model, to detect classify into four stages non-pressure ulcers. We also utilize data augmentation techniques expand our dataset strengthen the...

Summary In the development of smart cities, intelligent transportation system (ITS) plays a major role. The dynamic and chaotic nature traffic information makes accurate forecasting flow as challengeable one in ITS. volume data increases dramatically. We enter epoch big data. Hence, 1deep architecture is necessary to process, analyze, inference such large To develop better model, we proposed an attention‐based convolution neural network long short‐term memory (CNN‐LSTM), multistep prediction...