The diagnosis of early-stage lung cancer is challenging due to its asymptomatic nature, especially given the repeated radiation exposure and high cost computed tomography(CT). Examining CT images detect pulmonary nodules, cell lesions, also tedious prone errors even by a specialist. This study proposes diagnostic model based on deep learning-enabled support vector machine (SVM). proposed computer-aided design (CAD) identifies physiological pathological changes in soft tissues cross-section...

New integrated technologies have changed various existing fields and converted into new advanced data communication systems including, smart agriculture, homes, health, transportation systems. Internet of Things (IoT) has evolved a theme to vehicular networks field known as the Vehicles (IoV). This paper presents comprehensive review detailed background motivation evolve heterogeneous networks. Paper also proposed models key related network maintenance, six-layered architecture model based...

Detection and prediction of the novel Coronavirus present new challenges for medical research community due to its widespread across globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, outcomes such a pandemic. Recently, deep learning-based approaches have proven opportunity determine various difficulties in prediction. In this work, two learning algorithms, namely reinforcement learning, were developed forecast COVID-19. This article constructs...

Collaborative Robotics is one of the high-interest research topics in area academia and industry. It has been progressively utilized numerous applications, particularly intelligent surveillance systems. allows deployment smart cameras or optical sensors with computer vision techniques, which may serve several object detection tracking tasks. These tasks have considered challenging high-level perceptual problems, frequently dominated by relative information about environment, where main...

With the outbreak of COVID-19 pandemic, social isolation and quarantine have become commonplace across world. IoT health monitoring solutions eliminate need for regular doctor visits interactions among patients medical personnel. Many in wards or intensive care units require continuous their health. Continuous patient is a hectic practice hospitals with limited staff; pandemic situation like COVID-19, it becomes much more difficult when are working at full capacity there still risk workers...

Cardiac arrhythmia is one of the prime reasons for death globally. Early diagnosis heart crucial to provide timely medical treatment. Heart arrhythmias are diagnosed by analyzing electrocardiogram (ECG) patients. Manual analysis ECG time-consuming and challenging. Hence, effective automated detection important produce reliable results. Different deep-learning techniques detect such as Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Transformer, Hybrid CNN-LSTM were...

From 60–180 million tons of sediments and 18 ✕ 10 9 to 55 m 3 water were transported the Mediterranean Sea by Nile annually before Aswan High Dam was erected in 1964. Before completion dam, during flood period estuarine circulation pattern a two‐layer flow at mouth two estuaries. In winter one‐layer seawater; this has persisted most year since The velocity currents branches reached more than 4 knots surface but less 0.5 knot bottom 1964; after 1964 dropped considerably. General oceanographic...

The Internet of Things (IoT), with smart sensors, collects and generates big data streams for a wide range applications. One the important applications in this regard is video analytics which includes object detection. It has been considered as an research area particularly after development deep neural networks. We demonstrate applications, effectiveness, efficiency convolutional network algorithms, i.e., Faster-RCNN Mask-RCNN, to facilitate IoT domain, overhead view multiple detection...

With the development of latest technologies and changes in market demand, wireless multi-sensor system is widely used. These multi-sensors are integrated a way that produces an overwhelming amount data, termed as big data. The creates several challenges, which include getting actual information from data with high accuracy, increasing processing efficiency, reducing power consumption, providing reliable route toward destination using minimum bandwidth, so on. Such shortcomings can be...

Sentiment analysis is the extraction and categorization of sentiments that have been expressed in text data using techniques. Manifested by earlier studies, sentiment drug reviews has a large potential for providing valuable insights to assist healthcare professionals companies evaluating safety drugs after it marketed. Such help safeguard patients increase their trust medical companies. The existing systems either follow lexicon-based approach or learning-based domain. Learning-based...

Over the past decade, deep learning techniques, particularly neural networks, have become essential in medical imaging for tasks like image detection, classification, and segmentation. These methods greatly enhanced diagnostic accuracy, enabling quicker identification more effective treatments. In chest X-ray analysis, however, challenges remain accurately segmenting classifying organs such as lungs, heart, diaphragm, sternum, clavicles, well detecting abnormalities thoracic cavity. Despite...

Vehicular ad hoc networks (VANETs) have gained interest because of their applicability and significance in the fields traffic management, road monitoring safety, infotainment, on-demand services. Route planning vehicular based on efficient collection real-time data can effectively mitigate congestion problems urban areas. Furthermore, is shared by using an effective sharing mechanism to avoid redundancy collected information. However, dynamic route replanning mechanisms are still challenging...